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      "text": [
-      "OS: Linux-6.8.0-1014-azure-x86_64-with-glibc2.34\n",
+      "OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34\n",
       "Python: CPython 3.8.18\n"
      ]
     },
@@ -53,8 +53,8 @@
      "text": [
       "CPU Brand: AMD EPYC 7763 64-Core Processor\n",
       "CPU Count: 4\n",
-      "CPU Freq: 3094.3737499999997 MHz\n",
-      "Memory Size: 15.615 GiB\n",
+      "CPU Freq: 3089.38425 MHz\n",
+      "Memory Size: 15.606 GiB\n",
       "Has CUDA: No\n"
      ]
     }
diff --git a/dev/bchlib/searchindex.js b/dev/bchlib/searchindex.js
index ed6eecdb02b..d7e05a49a32 100644
--- a/dev/bchlib/searchindex.js
+++ b/dev/bchlib/searchindex.js
@@ -1 +1 @@
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"imgutils.validate.monochrome": [[82, "module-imgutils.validate.monochrome"]], "is_monochrome() (in module imgutils.validate.monochrome)": [[82, "imgutils.validate.monochrome.is_monochrome"]], "imgutils.validate.nsfw": [[83, "module-imgutils.validate.nsfw"]], "nsfw_pred() (in module imgutils.validate.nsfw)": [[83, "imgutils.validate.nsfw.nsfw_pred"]], "nsfw_pred_score() (in module imgutils.validate.nsfw)": [[83, "imgutils.validate.nsfw.nsfw_pred_score"]], "anime_portrait() (in module imgutils.validate.portrait)": [[84, "imgutils.validate.portrait.anime_portrait"]], "anime_portrait_score() (in module imgutils.validate.portrait)": [[84, "imgutils.validate.portrait.anime_portrait_score"]], "imgutils.validate.portrait": [[84, "module-imgutils.validate.portrait"]], "anime_rating() (in module imgutils.validate.rating)": [[85, "imgutils.validate.rating.anime_rating"]], "anime_rating_score() (in module imgutils.validate.rating)": [[85, "imgutils.validate.rating.anime_rating_score"]], 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\ No newline at end of file
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"module-imgutils.edge.lineart"]], "edge_image_with_lineart_anime() (in module imgutils.edge.lineart_anime)": [[25, "imgutils.edge.lineart_anime.edge_image_with_lineart_anime"]], "get_edge_by_lineart_anime() (in module imgutils.edge.lineart_anime)": [[25, "imgutils.edge.lineart_anime.get_edge_by_lineart_anime"]], "imgutils.edge.lineart_anime": [[25, "module-imgutils.edge.lineart_anime"]], "classifymodel (class in imgutils.generic.classify)": [[26, "imgutils.generic.classify.ClassifyModel"]], "__init__() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.__init__"]], "classify_predict() (in module imgutils.generic.classify)": [[26, "imgutils.generic.classify.classify_predict"]], "classify_predict_score() (in module imgutils.generic.classify)": [[26, "imgutils.generic.classify.classify_predict_score"]], "clear() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.clear"]], "imgutils.generic.classify": [[26, "module-imgutils.generic.classify"]], "predict() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.predict"]], "predict_score() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.predict_score"]], "imageenhancer (class in imgutils.generic.enhance)": [[27, "imgutils.generic.enhance.ImageEnhancer"]], "__init__() (imgutils.generic.enhance.imageenhancer method)": [[27, "imgutils.generic.enhance.ImageEnhancer.__init__"]], "imgutils.generic.enhance": [[27, "module-imgutils.generic.enhance"]], "process() (imgutils.generic.enhance.imageenhancer method)": [[27, "imgutils.generic.enhance.ImageEnhancer.process"]], "imgutils.generic": [[28, "module-imgutils.generic"]], "imgutils.metadata.geninfo": [[29, "module-imgutils.metadata.geninfo"]], "read_geninfo_exif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.read_geninfo_exif"]], "read_geninfo_gif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.read_geninfo_gif"]], "read_geninfo_parameters() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.read_geninfo_parameters"]], "write_geninfo_exif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.write_geninfo_exif"]], "write_geninfo_gif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.write_geninfo_gif"]], "write_geninfo_parameters() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.write_geninfo_parameters"]], "imgutils.metadata": [[30, "module-imgutils.metadata"]], "imagelsbdataextractor (class in imgutils.metadata.lsb)": [[31, "imgutils.metadata.lsb.ImageLsbDataExtractor"]], "lsbextractor (class in imgutils.metadata.lsb)": [[31, "imgutils.metadata.lsb.LSBExtractor"]], "lsbreaderror (class in imgutils.metadata.lsb)": [[31, "imgutils.metadata.lsb.LSBReadError"]], "__init__() 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"anime_dbaesthetic() (in module imgutils.metrics.dbaesthetic)": [[34, "imgutils.metrics.dbaesthetic.anime_dbaesthetic"]], "imgutils.metrics.dbaesthetic": [[34, "module-imgutils.metrics.dbaesthetic"]], "imgutils.metrics": [[35, "module-imgutils.metrics"]], "imgutils.metrics.laplacian": [[36, "module-imgutils.metrics.laplacian"]], "laplacian_score() (in module imgutils.metrics.laplacian)": [[36, "imgutils.metrics.laplacian.laplacian_score"]], "imgutils.metrics.lpips": [[37, "module-imgutils.metrics.lpips"]], "lpips_clustering() (in module imgutils.metrics.lpips)": [[37, "imgutils.metrics.lpips.lpips_clustering"]], "lpips_difference() (in module imgutils.metrics.lpips)": [[37, "imgutils.metrics.lpips.lpips_difference"]], "lpips_extract_feature() (in module imgutils.metrics.lpips)": [[37, "imgutils.metrics.lpips.lpips_extract_feature"]], "imgutils.metrics.psnr_": [[38, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[38, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[39, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[39, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[39, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[39, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[39, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[40, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[40, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.ColorCensor"]], "pixelatecensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.PixelateCensor"]], "censor_area() (imgutils.operate.censor_.basecensor method)": [[41, "imgutils.operate.censor_.BaseCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.blurcensor method)": [[41, "imgutils.operate.censor_.BlurCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.colorcensor method)": [[41, "imgutils.operate.censor_.ColorCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.pixelatecensor method)": [[41, "imgutils.operate.censor_.PixelateCensor.censor_area"]], "censor_areas() (in module imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.censor_areas"]], "censor_nsfw() (in module imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.censor_nsfw"]], "imgutils.operate.censor_": [[41, "module-imgutils.operate.censor_"]], "register_censor_method() (in module imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.register_censor_method"]], "emojibasedcensor (class in imgutils.operate.imgcensor)": [[42, "imgutils.operate.imgcensor.EmojiBasedCensor"]], "imagebasedcensor (class in 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"imgutils.pose.format.OpenPose18.NOSE"]], "op18keypointset (class in imgutils.pose.format)": [[46, "imgutils.pose.format.OP18KeyPointSet"]], "op18_body_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_BODY_MAX"]], "op18_body_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_BODY_MIN"]], "op18_face_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_FACE_MAX"]], "op18_face_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_FACE_MIN"]], "op18_left_foot_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_LEFT_FOOT_MAX"]], "op18_left_foot_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_LEFT_FOOT_MIN"]], "op18_left_hand_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_LEFT_HAND_MAX"]], "op18_left_hand_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_EYE"]], "right_heel 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"imgutils.pose.format.OP18KeyPointSet.__truediv__"]], "body (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.body"]], "face (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.face"]], "imgutils.pose.format": [[46, "module-imgutils.pose.format"]], "left_foot (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.left_foot"]], "left_hand (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.left_hand"]], "right_foot (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.right_foot"]], "right_hand (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.right_hand"]], "imgutils.pose": [[47, "module-imgutils.pose"]], "imgutils.pose.visual": [[48, "module-imgutils.pose.visual"]], "op18_visualize() (in module imgutils.pose.visual)": [[48, 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"imgutils.resource.background.list_bg_image_files"]], "list_image_files() (imgutils.resource.background.backgroundimageset method)": [[49, "imgutils.resource.background.BackgroundImageSet.list_image_files"]], "random_bg_image() (in module imgutils.resource.background)": [[49, "imgutils.resource.background.random_bg_image"]], "random_bg_image_file() (in module imgutils.resource.background)": [[49, "imgutils.resource.background.random_bg_image_file"]], "random_image() (imgutils.resource.background.backgroundimageset method)": [[49, "imgutils.resource.background.BackgroundImageSet.random_image"]], "random_image_file() (imgutils.resource.background.backgroundimageset method)": [[49, "imgutils.resource.background.BackgroundImageSet.random_image_file"]], "imgutils.resource": [[50, "module-imgutils.resource"]], "imgutils.restore.adversarial": [[51, "module-imgutils.restore.adversarial"]], "remove_adversarial_noise() (in module imgutils.restore.adversarial)": [[51, "imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[52, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[53, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module imgutils.restore.nafnet)": [[53, "imgutils.restore.nafnet.restore_with_nafnet"]], "imgutils.restore.scunet": [[54, "module-imgutils.restore.scunet"]], "restore_with_scunet() (in module imgutils.restore.scunet)": [[54, "imgutils.restore.scunet.restore_with_scunet"]], "imgutils.sd": [[55, "module-imgutils.sd"]], "sdmetadata (class in imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.SDMetaData"]], "__str__() (imgutils.sd.metadata.sdmetadata method)": [[56, "imgutils.sd.metadata.SDMetaData.__str__"]], "get_sdmeta_from_image() (in module imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.get_sdmeta_from_image"]], "imgutils.sd.metadata": [[56, "module-imgutils.sd.metadata"]], "parse_sdmeta_from_text() (in module imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.parse_sdmeta_from_text"]], "pnginfo (imgutils.sd.metadata.sdmetadata property)": [[56, "imgutils.sd.metadata.SDMetaData.pnginfo"]], "save_image_with_sdmeta() (in module imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.save_image_with_sdmeta"]], "text (imgutils.sd.metadata.sdmetadata property)": [[56, "imgutils.sd.metadata.SDMetaData.text"]], "imgutils.sd.model": [[57, "module-imgutils.sd.model"]], "read_metadata() (in module imgutils.sd.model)": [[57, "imgutils.sd.model.read_metadata"]], "save_with_metadata() (in module imgutils.sd.model)": [[57, "imgutils.sd.model.save_with_metadata"]], "naimetadata (class in imgutils.sd.nai)": [[58, "imgutils.sd.nai.NAIMetaData"], [58, "imgutils.sd.nai.NAIMetadata"]], "__init__() (imgutils.sd.nai.naimetadata method)": [[58, "imgutils.sd.nai.NAIMetaData.__init__"]], "add_naimeta_to_image() (in module imgutils.sd.nai)": [[58, "imgutils.sd.nai.add_naimeta_to_image"]], "get_naimeta_from_image() (in module imgutils.sd.nai)": [[58, "imgutils.sd.nai.get_naimeta_from_image"]], "imgutils.sd.nai": [[58, "module-imgutils.sd.nai"]], "pnginfo (imgutils.sd.nai.naimetadata property)": [[58, "imgutils.sd.nai.NAIMetaData.pnginfo"]], "save_image_with_naimeta() (in module imgutils.sd.nai)": [[58, "imgutils.sd.nai.save_image_with_naimeta"]], "imgutils.segment": [[59, "module-imgutils.segment"]], "get_isnetis_mask() (in module imgutils.segment.isnetis)": [[60, "imgutils.segment.isnetis.get_isnetis_mask"]], "imgutils.segment.isnetis": [[60, "module-imgutils.segment.isnetis"]], "segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[60, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[60, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[61, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[61, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[61, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.CHAR_WHITELIST_SUFFIX"]], "char_whitelist_word (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.CHAR_WHITELIST_WORD"]], "charactertagpool (class in imgutils.tagging.character)": [[62, "imgutils.tagging.character.CharacterTagPool"]], "__init__() (imgutils.tagging.character.charactertagpool method)": [[62, "imgutils.tagging.character.CharacterTagPool.__init__"]], "drop_basic_character_tags() (imgutils.tagging.character.charactertagpool method)": [[62, "imgutils.tagging.character.CharacterTagPool.drop_basic_character_tags"]], "drop_basic_character_tags() (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.drop_basic_character_tags"]], "imgutils.tagging.character": [[62, "module-imgutils.tagging.character"]], "is_basic_character_tag() (imgutils.tagging.character.charactertagpool method)": [[62, "imgutils.tagging.character.CharacterTagPool.is_basic_character_tag"]], "is_basic_character_tag() (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.is_basic_character_tag"]], "get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[63, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[63, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[64, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[64, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[64, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module imgutils.tagging.format)": [[64, "imgutils.tagging.format.tags_to_text"]], "imgutils.tagging": [[65, "module-imgutils.tagging"]], "imgutils.tagging.match": [[66, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[66, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[66, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[66, "imgutils.tagging.match.tag_match_suffix"]], "get_mldanbooru_tags() (in module imgutils.tagging.mldanbooru)": [[67, "imgutils.tagging.mldanbooru.get_mldanbooru_tags"]], "imgutils.tagging.mldanbooru": [[67, "module-imgutils.tagging.mldanbooru"]], "imgutils.tagging.order": [[68, "module-imgutils.tagging.order"]], "sort_tags() (in module imgutils.tagging.order)": [[68, "imgutils.tagging.order.sort_tags"]], "drop_overlap_tags() (in module imgutils.tagging.overlap)": [[69, "imgutils.tagging.overlap.drop_overlap_tags"]], "imgutils.tagging.overlap": [[69, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module imgutils.tagging.wd14)": [[70, "imgutils.tagging.wd14.get_wd14_tags"]], "imgutils.tagging.wd14": [[70, "module-imgutils.tagging.wd14"]], "imgutils.upscale.cdc": [[71, "module-imgutils.upscale.cdc"]], "upscale_with_cdc() (in module imgutils.upscale.cdc)": [[71, "imgutils.upscale.cdc.upscale_with_cdc"]], "imgutils.upscale": [[72, "module-imgutils.upscale"]], "imgutils.utils": [[73, "module-imgutils.utils"]], "get_onnx_provider() (in module imgutils.utils.onnxruntime)": [[74, "imgutils.utils.onnxruntime.get_onnx_provider"]], "imgutils.utils.onnxruntime": [[74, "module-imgutils.utils.onnxruntime"]], "open_onnx_model() (in module imgutils.utils.onnxruntime)": [[74, "imgutils.utils.onnxruntime.open_onnx_model"]], "get_ai_created_score() (in module imgutils.validate.aicheck)": [[75, "imgutils.validate.aicheck.get_ai_created_score"]], "imgutils.validate.aicheck": [[75, "module-imgutils.validate.aicheck"]], "is_ai_created() (in module imgutils.validate.aicheck)": [[75, "imgutils.validate.aicheck.is_ai_created"]], "anime_bangumi_char() (in module imgutils.validate.bangumi_char)": [[76, "imgutils.validate.bangumi_char.anime_bangumi_char"]], "anime_bangumi_char_score() (in module imgutils.validate.bangumi_char)": [[76, "imgutils.validate.bangumi_char.anime_bangumi_char_score"]], "imgutils.validate.bangumi_char": [[76, "module-imgutils.validate.bangumi_char"]], "anime_classify() (in module imgutils.validate.classify)": [[77, "imgutils.validate.classify.anime_classify"]], "anime_classify_score() (in module imgutils.validate.classify)": [[77, "imgutils.validate.classify.anime_classify_score"]], "imgutils.validate.classify": [[77, "module-imgutils.validate.classify"]], "imgutils.validate.color": [[78, 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"imgutils.validate.monochrome": [[82, "module-imgutils.validate.monochrome"]], "is_monochrome() (in module imgutils.validate.monochrome)": [[82, "imgutils.validate.monochrome.is_monochrome"]], "imgutils.validate.nsfw": [[83, "module-imgutils.validate.nsfw"]], "nsfw_pred() (in module imgutils.validate.nsfw)": [[83, "imgutils.validate.nsfw.nsfw_pred"]], "nsfw_pred_score() (in module imgutils.validate.nsfw)": [[83, "imgutils.validate.nsfw.nsfw_pred_score"]], "anime_portrait() (in module imgutils.validate.portrait)": [[84, "imgutils.validate.portrait.anime_portrait"]], "anime_portrait_score() (in module imgutils.validate.portrait)": [[84, "imgutils.validate.portrait.anime_portrait_score"]], "imgutils.validate.portrait": [[84, "module-imgutils.validate.portrait"]], "anime_rating() (in module imgutils.validate.rating)": [[85, "imgutils.validate.rating.anime_rating"]], "anime_rating_score() (in module imgutils.validate.rating)": [[85, "imgutils.validate.rating.anime_rating_score"]], "imgutils.validate.rating": [[85, "module-imgutils.validate.rating"]], "anime_real() (in module imgutils.validate.real)": [[86, "imgutils.validate.real.anime_real"]], "anime_real_score() (in module imgutils.validate.real)": [[86, "imgutils.validate.real.anime_real_score"]], "imgutils.validate.real": [[86, "module-imgutils.validate.real"]], "imgutils.validate.safe": [[87, "module-imgutils.validate.safe"]], "safe_check() (in module imgutils.validate.safe)": [[87, "imgutils.validate.safe.safe_check"]], "safe_check_score() (in module imgutils.validate.safe)": [[87, "imgutils.validate.safe.safe_check_score"]], "anime_style_age() (in module imgutils.validate.style_age)": [[88, "imgutils.validate.style_age.anime_style_age"]], "anime_style_age_score() (in module imgutils.validate.style_age)": [[88, "imgutils.validate.style_age.anime_style_age_score"]], "imgutils.validate.style_age": [[88, "module-imgutils.validate.style_age"]], "anime_teen() (in module imgutils.validate.teen)": [[89, "imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": [[89, "imgutils.validate.teen.anime_teen_score"]], "imgutils.validate.teen": [[89, "module-imgutils.validate.teen"]], "imgutils.validate.truncate": [[90, "module-imgutils.validate.truncate"]], "is_truncated_file() (in module imgutils.validate.truncate)": [[90, "imgutils.validate.truncate.is_truncated_file"]]}})
\ No newline at end of file
diff --git a/dev/yolo/.buildinfo b/dev/yolo/.buildinfo
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+++ b/dev/yolo/.buildinfo
@@ -1,4 +1,4 @@
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 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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index 0071634ded6..2b6957fdec9 100644
--- a/dev/yolo/.doctrees/nbsphinx/information/environment.ipynb
+++ b/dev/yolo/.doctrees/nbsphinx/information/environment.ipynb
@@ -29,10 +29,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-17T14:27:35.223025Z",
-     "iopub.status.busy": "2024-09-17T14:27:35.222823Z",
-     "iopub.status.idle": "2024-09-17T14:27:36.384639Z",
-     "shell.execute_reply": "2024-09-17T14:27:36.383854Z"
+     "iopub.execute_input": "2024-09-17T15:21:32.550387Z",
+     "iopub.status.busy": "2024-09-17T15:21:32.550163Z",
+     "iopub.status.idle": "2024-09-17T15:21:33.733528Z",
+     "shell.execute_reply": "2024-09-17T15:21:33.732535Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -43,7 +43,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "OS: Linux-6.8.0-1014-azure-x86_64-with-glibc2.34\n",
+      "OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34\n",
       "Python: CPython 3.8.18\n"
      ]
     },
@@ -53,8 +53,8 @@
      "text": [
       "CPU Brand: AMD EPYC 7763 64-Core Processor\n",
       "CPU Count: 4\n",
-      "CPU Freq: 3243.54875 MHz\n",
-      "Memory Size: 15.615 GiB\n",
+      "CPU Freq: 2920.044 MHz\n",
+      "Memory Size: 15.606 GiB\n",
       "Has CUDA: No\n"
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-  <g id="text_54">
+  <g id="text_56">
    <!-- Benchmark for Anime Half Body Detections -->
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diff --git a/dev/yolo/_modules/imgutils/detect/censor.html b/dev/yolo/_modules/imgutils/detect/censor.html
index 1565056b97d..f18b337e5f8 100644
--- a/dev/yolo/_modules/imgutils/detect/censor.html
+++ b/dev/yolo/_modules/imgutils/detect/censor.html
@@ -123,47 +123,55 @@ <h1>Source code for imgutils.detect.censor</h1><div class="highlight"><pre>
 <span class="sd">        :align: center</span>
 
 <span class="sd">&quot;&quot;&quot;</span>
-<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">lru_cache</span>
-<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Optional</span>
 
-<span class="kn">from</span> <span class="nn">huggingface_hub</span> <span class="kn">import</span> <span class="n">hf_hub_download</span>
+<span class="kn">from</span> <span class="nn">..data</span> <span class="kn">import</span> <span class="n">ImageTyping</span>
+<span class="kn">from</span> <span class="nn">..generic</span> <span class="kn">import</span> <span class="n">yolo_predict</span>
 
-<span class="kn">from</span> <span class="nn">._yolo</span> <span class="kn">import</span> <span class="n">_image_preprocess</span><span class="p">,</span> <span class="n">_data_postprocess</span>
-<span class="kn">from</span> <span class="nn">..data</span> <span class="kn">import</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">load_image</span><span class="p">,</span> <span class="n">rgb_encode</span>
-<span class="kn">from</span> <span class="nn">..utils</span> <span class="kn">import</span> <span class="n">open_onnx_model</span>
+<span class="n">_REPO_ID</span> <span class="o">=</span> <span class="s1">&#39;deepghs/anime_censor_detection&#39;</span>
 
 
-<span class="nd">@lru_cache</span><span class="p">()</span>
-<span class="k">def</span> <span class="nf">_open_censor_detect_model</span><span class="p">(</span><span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.0&#39;</span><span class="p">):</span>
-    <span class="k">return</span> <span class="n">open_onnx_model</span><span class="p">(</span><span class="n">hf_hub_download</span><span class="p">(</span>
-        <span class="sa">f</span><span class="s1">&#39;deepghs/anime_censor_detection&#39;</span><span class="p">,</span>
-        <span class="sa">f</span><span class="s1">&#39;censor_detect_</span><span class="si">{</span><span class="n">version</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">level</span><span class="si">}</span><span class="s1">/model.onnx&#39;</span>
-    <span class="p">))</span>
+<div class="viewcode-block" id="detect_censors"><a class="viewcode-back" href="../../../api_doc/detect/censor.html#imgutils.detect.censor.detect_censors">[docs]</a><span class="k">def</span> <span class="nf">detect_censors</span><span class="p">(</span><span class="n">image</span><span class="p">:</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.0&#39;</span><span class="p">,</span> <span class="n">model_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+                   <span class="n">conf_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.3</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.7</span><span class="p">)</span> \
+        <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]]:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Detect human censor points in anime images.</span>
 
+<span class="sd">    This function uses pre-trained YOLOv8 models to identify and locate specific</span>
+<span class="sd">    anatomical features that are typically censored in anime images. It can detect</span>
+<span class="sd">    female nipples, male genitals, and female genitals.</span>
 
-<span class="n">_LABELS</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;nipple_f&quot;</span><span class="p">,</span> <span class="s2">&quot;penis&quot;</span><span class="p">,</span> <span class="s2">&quot;pussy&quot;</span><span class="p">]</span>
+<span class="sd">    :param image: The input image to be analyzed. Can be a file path, URL, or image data.</span>
+<span class="sd">    :type image: ImageTyping</span>
 
+<span class="sd">    :param level: The model level to use, either &#39;s&#39; (standard) or &#39;n&#39; (nano).</span>
+<span class="sd">                  The &#39;n&#39; model is faster but less accurate, while &#39;s&#39; is more accurate but slower.</span>
+<span class="sd">    :type level: str</span>
 
-<div class="viewcode-block" id="detect_censors"><a class="viewcode-back" href="../../../api_doc/detect/censor.html#imgutils.detect.censor.detect_censors">[docs]</a><span class="k">def</span> <span class="nf">detect_censors</span><span class="p">(</span><span class="n">image</span><span class="p">:</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.0&#39;</span><span class="p">,</span> <span class="n">max_infer_size</span><span class="o">=</span><span class="mi">640</span><span class="p">,</span>
-                   <span class="n">conf_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.3</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.7</span><span class="p">)</span> \
-        <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]]:</span>
-<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">    Overview:</span>
-<span class="sd">        Detect human censor points in anime images.</span>
-
-<span class="sd">    :param image: Image to detect.</span>
-<span class="sd">    :param level: The model level being used can be either `s` or `n`.</span>
-<span class="sd">        The `n` model runs faster with smaller system overhead, while the `s` model achieves higher accuracy.</span>
-<span class="sd">        The default value is `s`.</span>
-<span class="sd">    :param version: Version of model, default is ``v1.0``.</span>
-<span class="sd">    :param max_infer_size: The maximum image size used for model inference, if the image size exceeds this limit,</span>
-<span class="sd">        the image will be resized and used for inference. The default value is `640` pixels.</span>
-<span class="sd">    :param conf_threshold: The confidence threshold, only detection results with confidence scores above</span>
-<span class="sd">        this threshold will be returned. The default value is `0.3`.</span>
-<span class="sd">    :param iou_threshold: The detection area coverage overlap threshold, areas with overlaps above this threshold</span>
-<span class="sd">        will be discarded. The default value is `0.7`.</span>
-<span class="sd">    :return: The detection results list, each item includes the detected area `(x0, y0, x1, y1)`,</span>
-<span class="sd">        the target type (one of `nipple_f`, `penis` and `pussy`) and the target confidence score.</span>
+<span class="sd">    :param version: The version of the model to use. Default is &#39;v1.0&#39;.</span>
+<span class="sd">    :type version: str</span>
+
+<span class="sd">    :param model_name: Optional custom model name. If not provided, it will be constructed</span>
+<span class="sd">                       from the version and level.</span>
+<span class="sd">    :type model_name: Optional[str]</span>
+
+<span class="sd">    :param conf_threshold: The confidence threshold for detections. Only detections with</span>
+<span class="sd">                           confidence above this value will be returned. Default is 0.3.</span>
+<span class="sd">    :type conf_threshold: float</span>
+
+<span class="sd">    :param iou_threshold: The Intersection over Union (IoU) threshold for non-maximum</span>
+<span class="sd">                          suppression. Detections with IoU above this value will be merged.</span>
+<span class="sd">                          Default is 0.7.</span>
+<span class="sd">    :type iou_threshold: float</span>
+
+<span class="sd">    :return: A list of tuples, each containing:</span>
+<span class="sd">             - A tuple of four integers (x0, y0, x1, y1) representing the bounding box</span>
+<span class="sd">             - A string indicating the type of detection (&#39;nipple_f&#39;, &#39;penis&#39;, or &#39;pussy&#39;)</span>
+<span class="sd">             - A float representing the confidence score of the detection</span>
+<span class="sd">    :rtype: List[Tuple[Tuple[int, int, int, int], str, float]]</span>
+
+<span class="sd">    :raises ValueError: If an invalid level is provided.</span>
+<span class="sd">    :raises RuntimeError: If the model fails to load or process the image.</span>
 
 <span class="sd">    Examples::</span>
 <span class="sd">        &gt;&gt;&gt; from imgutils.detect import detect_censors, detection_visualize</span>
@@ -182,12 +190,13 @@ <h1>Source code for imgutils.detect.censor</h1><div class="highlight"><pre>
 <span class="sd">        &gt;&gt;&gt; plt.imshow(detection_visualize(image, result))</span>
 <span class="sd">        &gt;&gt;&gt; plt.show()</span>
 <span class="sd">    &quot;&quot;&quot;</span>
-    <span class="n">image</span> <span class="o">=</span> <span class="n">load_image</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;RGB&#39;</span><span class="p">)</span>
-    <span class="n">new_image</span><span class="p">,</span> <span class="n">old_size</span><span class="p">,</span> <span class="n">new_size</span> <span class="o">=</span> <span class="n">_image_preprocess</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">max_infer_size</span><span class="p">)</span>
-
-    <span class="n">data</span> <span class="o">=</span> <span class="n">rgb_encode</span><span class="p">(</span><span class="n">new_image</span><span class="p">)[</span><span class="kc">None</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>
-    <span class="n">output</span><span class="p">,</span> <span class="o">=</span> <span class="n">_open_censor_detect_model</span><span class="p">(</span><span class="n">level</span><span class="p">,</span> <span class="n">version</span><span class="p">)</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="s1">&#39;output0&#39;</span><span class="p">],</span> <span class="p">{</span><span class="s1">&#39;images&#39;</span><span class="p">:</span> <span class="n">data</span><span class="p">})</span>
-    <span class="k">return</span> <span class="n">_data_postprocess</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">conf_threshold</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">,</span> <span class="n">old_size</span><span class="p">,</span> <span class="n">new_size</span><span class="p">,</span> <span class="n">_LABELS</span><span class="p">)</span></div>
+    <span class="k">return</span> <span class="n">yolo_predict</span><span class="p">(</span>
+        <span class="n">image</span><span class="o">=</span><span class="n">image</span><span class="p">,</span>
+        <span class="n">repo_id</span><span class="o">=</span><span class="n">_REPO_ID</span><span class="p">,</span>
+        <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span> <span class="ow">or</span> <span class="sa">f</span><span class="s1">&#39;censor_detect_</span><span class="si">{</span><span class="n">version</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">level</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">,</span>
+        <span class="n">conf_threshold</span><span class="o">=</span><span class="n">conf_threshold</span><span class="p">,</span>
+        <span class="n">iou_threshold</span><span class="o">=</span><span class="n">iou_threshold</span><span class="p">,</span>
+    <span class="p">)</span></div>
 </pre></div>
 
 
diff --git a/dev/yolo/_modules/imgutils/detect/eye.html b/dev/yolo/_modules/imgutils/detect/eye.html
index 52fe6610e04..9fd4011f342 100644
--- a/dev/yolo/_modules/imgutils/detect/eye.html
+++ b/dev/yolo/_modules/imgutils/detect/eye.html
@@ -121,47 +121,52 @@ <h1>Source code for imgutils.detect.eye</h1><div class="highlight"><pre>
 <span class="sd">        :align: center</span>
 
 <span class="sd">&quot;&quot;&quot;</span>
-<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">lru_cache</span>
-<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Optional</span>
 
-<span class="kn">from</span> <span class="nn">huggingface_hub</span> <span class="kn">import</span> <span class="n">hf_hub_download</span>
+<span class="kn">from</span> <span class="nn">..data</span> <span class="kn">import</span> <span class="n">ImageTyping</span>
+<span class="kn">from</span> <span class="nn">..generic</span> <span class="kn">import</span> <span class="n">yolo_predict</span>
 
-<span class="kn">from</span> <span class="nn">._yolo</span> <span class="kn">import</span> <span class="n">_image_preprocess</span><span class="p">,</span> <span class="n">_data_postprocess</span>
-<span class="kn">from</span> <span class="nn">..data</span> <span class="kn">import</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">load_image</span><span class="p">,</span> <span class="n">rgb_encode</span>
-<span class="kn">from</span> <span class="nn">..utils</span> <span class="kn">import</span> <span class="n">open_onnx_model</span>
+<span class="n">_REPO_ID</span> <span class="o">=</span> <span class="s1">&#39;deepghs/anime_eye_detection&#39;</span>
 
 
-<span class="nd">@lru_cache</span><span class="p">()</span>
-<span class="k">def</span> <span class="nf">_open_eye_detect_model</span><span class="p">(</span><span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.0&#39;</span><span class="p">):</span>
-    <span class="k">return</span> <span class="n">open_onnx_model</span><span class="p">(</span><span class="n">hf_hub_download</span><span class="p">(</span>
-        <span class="sa">f</span><span class="s1">&#39;deepghs/anime_eye_detection&#39;</span><span class="p">,</span>
-        <span class="sa">f</span><span class="s1">&#39;eye_detect_</span><span class="si">{</span><span class="n">version</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">level</span><span class="si">}</span><span class="s1">/model.onnx&#39;</span>
-    <span class="p">))</span>
+<div class="viewcode-block" id="detect_eyes"><a class="viewcode-back" href="../../../api_doc/detect/eye.html#imgutils.detect.eye.detect_eyes">[docs]</a><span class="k">def</span> <span class="nf">detect_eyes</span><span class="p">(</span><span class="n">image</span><span class="p">:</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.0&#39;</span><span class="p">,</span> <span class="n">model_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+                <span class="n">conf_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.3</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.3</span><span class="p">)</span> \
+        <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]]:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Detect human eyes in anime images.</span>
 
+<span class="sd">    This function uses a YOLOv8 model to detect eyes in the given anime image. It supports</span>
+<span class="sd">    different model levels and versions, allowing for a trade-off between speed and accuracy.</span>
 
-<span class="n">_LABELS</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;eye&quot;</span><span class="p">]</span>
+<span class="sd">    :param image: The input image for eye detection. Can be various image types supported by ImageTyping.</span>
+<span class="sd">    :type image: ImageTyping</span>
 
+<span class="sd">    :param level: The model level to use. Can be either &#39;s&#39; (for higher accuracy) or &#39;n&#39; (for faster processing).</span>
+<span class="sd">                  Default is &#39;s&#39;.</span>
+<span class="sd">    :type level: str</span>
 
-<div class="viewcode-block" id="detect_eyes"><a class="viewcode-back" href="../../../api_doc/detect/eye.html#imgutils.detect.eye.detect_eyes">[docs]</a><span class="k">def</span> <span class="nf">detect_eyes</span><span class="p">(</span><span class="n">image</span><span class="p">:</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.0&#39;</span><span class="p">,</span> <span class="n">max_infer_size</span><span class="o">=</span><span class="mi">640</span><span class="p">,</span>
-                <span class="n">conf_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.3</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.3</span><span class="p">)</span> \
-        <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]]:</span>
-<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">    Overview:</span>
-<span class="sd">        Detect human eyes in anime images.</span>
-
-<span class="sd">    :param image: Image to detect.</span>
-<span class="sd">    :param level: The model level being used can be either `s` or `n`.</span>
-<span class="sd">        The `n` model runs faster with smaller system overhead, while the `s` model achieves higher accuracy.</span>
-<span class="sd">        The default value is `s`.</span>
-<span class="sd">    :param version: Version of model, default is ``v1.0``.</span>
-<span class="sd">    :param max_infer_size: The maximum image size used for model inference, if the image size exceeds this limit,</span>
-<span class="sd">        the image will be resized and used for inference. The default value is `640` pixels.</span>
-<span class="sd">    :param conf_threshold: The confidence threshold, only detection results with confidence scores above</span>
-<span class="sd">        this threshold will be returned. The default value is `0.3`.</span>
-<span class="sd">    :param iou_threshold: The detection area coverage overlap threshold, areas with overlaps above this threshold</span>
-<span class="sd">        will be discarded. The default value is `0.3`.</span>
-<span class="sd">    :return: The detection results list, each item includes the detected area `(x0, y0, x1, y1)`,</span>
-<span class="sd">        the target type (always `eye`) and the target confidence score.</span>
+<span class="sd">    :param version: Version of the model to use. Default is &#39;v1.0&#39;.</span>
+<span class="sd">    :type version: str</span>
+
+<span class="sd">    :param model_name: Optional custom model name. If not provided, it&#39;s constructed using version and level.</span>
+<span class="sd">    :type model_name: Optional[str]</span>
+
+<span class="sd">    :param conf_threshold: Confidence threshold for detections. Only detections with confidence above this</span>
+<span class="sd">                           threshold are returned. Default is 0.3.</span>
+<span class="sd">    :type conf_threshold: float</span>
+
+<span class="sd">    :param iou_threshold: Intersection over Union (IoU) threshold for non-maximum suppression.</span>
+<span class="sd">                          Detections with IoU above this threshold are considered overlapping and merged.</span>
+<span class="sd">                          Default is 0.3.</span>
+<span class="sd">    :type iou_threshold: float</span>
+
+<span class="sd">    :return: A list of detected eyes. Each detection is represented by a tuple containing:</span>
+<span class="sd">             - Bounding box coordinates as (x0, y0, x1, y1)</span>
+<span class="sd">             - Detection class (always &#39;eye&#39; for this function)</span>
+<span class="sd">             - Confidence score of the detection</span>
+<span class="sd">    :rtype: List[Tuple[Tuple[int, int, int, int], str, float]]</span>
+
+<span class="sd">    :raises: May raise exceptions related to image loading or model prediction (from yolo_predict function).</span>
 
 <span class="sd">    Examples::</span>
 <span class="sd">        &gt;&gt;&gt; from imgutils.detect import detect_eyes, detection_visualize</span>
@@ -176,12 +181,13 @@ <h1>Source code for imgutils.detect.eye</h1><div class="highlight"><pre>
 <span class="sd">        &gt;&gt;&gt; plt.imshow(detection_visualize(image, result))</span>
 <span class="sd">        &gt;&gt;&gt; plt.show()</span>
 <span class="sd">    &quot;&quot;&quot;</span>
-    <span class="n">image</span> <span class="o">=</span> <span class="n">load_image</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;RGB&#39;</span><span class="p">)</span>
-    <span class="n">new_image</span><span class="p">,</span> <span class="n">old_size</span><span class="p">,</span> <span class="n">new_size</span> <span class="o">=</span> <span class="n">_image_preprocess</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">max_infer_size</span><span class="p">)</span>
-
-    <span class="n">data</span> <span class="o">=</span> <span class="n">rgb_encode</span><span class="p">(</span><span class="n">new_image</span><span class="p">)[</span><span class="kc">None</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>
-    <span class="n">output</span><span class="p">,</span> <span class="o">=</span> <span class="n">_open_eye_detect_model</span><span class="p">(</span><span class="n">level</span><span class="p">,</span> <span class="n">version</span><span class="p">)</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="s1">&#39;output0&#39;</span><span class="p">],</span> <span class="p">{</span><span class="s1">&#39;images&#39;</span><span class="p">:</span> <span class="n">data</span><span class="p">})</span>
-    <span class="k">return</span> <span class="n">_data_postprocess</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">conf_threshold</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">,</span> <span class="n">old_size</span><span class="p">,</span> <span class="n">new_size</span><span class="p">,</span> <span class="n">_LABELS</span><span class="p">)</span></div>
+    <span class="k">return</span> <span class="n">yolo_predict</span><span class="p">(</span>
+        <span class="n">image</span><span class="o">=</span><span class="n">image</span><span class="p">,</span>
+        <span class="n">repo_id</span><span class="o">=</span><span class="n">_REPO_ID</span><span class="p">,</span>
+        <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span> <span class="ow">or</span> <span class="sa">f</span><span class="s1">&#39;eye_detect_</span><span class="si">{</span><span class="n">version</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">level</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">,</span>
+        <span class="n">conf_threshold</span><span class="o">=</span><span class="n">conf_threshold</span><span class="p">,</span>
+        <span class="n">iou_threshold</span><span class="o">=</span><span class="n">iou_threshold</span><span class="p">,</span>
+    <span class="p">)</span></div>
 </pre></div>
 
 
diff --git a/dev/yolo/_modules/imgutils/detect/face.html b/dev/yolo/_modules/imgutils/detect/face.html
index 99bbdea7ddd..9216326d093 100644
--- a/dev/yolo/_modules/imgutils/detect/face.html
+++ b/dev/yolo/_modules/imgutils/detect/face.html
@@ -125,45 +125,52 @@ <h1>Source code for imgutils.detect.face</h1><div class="highlight"><pre>
 <span class="sd">    `huggingface - deepghs/anime_face_detection &lt;https://huggingface.co/deepghs/anime_face_detection&gt;`_.</span>
 
 <span class="sd">&quot;&quot;&quot;</span>
-<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">lru_cache</span>
-<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Optional</span>
 
-<span class="kn">from</span> <span class="nn">huggingface_hub</span> <span class="kn">import</span> <span class="n">hf_hub_download</span>
+<span class="kn">from</span> <span class="nn">..data</span> <span class="kn">import</span> <span class="n">ImageTyping</span>
+<span class="kn">from</span> <span class="nn">..generic</span> <span class="kn">import</span> <span class="n">yolo_predict</span>
 
-<span class="kn">from</span> <span class="nn">._yolo</span> <span class="kn">import</span> <span class="n">_image_preprocess</span><span class="p">,</span> <span class="n">_data_postprocess</span>
-<span class="kn">from</span> <span class="nn">..data</span> <span class="kn">import</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">load_image</span><span class="p">,</span> <span class="n">rgb_encode</span>
-<span class="kn">from</span> <span class="nn">..utils</span> <span class="kn">import</span> <span class="n">open_onnx_model</span>
+<span class="n">_REPO_ID</span> <span class="o">=</span> <span class="s1">&#39;deepghs/anime_face_detection&#39;</span>
 
 
-<span class="nd">@lru_cache</span><span class="p">()</span>
-<span class="k">def</span> <span class="nf">_open_face_detect_model</span><span class="p">(</span><span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.4&#39;</span><span class="p">):</span>
-    <span class="k">return</span> <span class="n">open_onnx_model</span><span class="p">(</span><span class="n">hf_hub_download</span><span class="p">(</span>
-        <span class="sa">f</span><span class="s1">&#39;deepghs/anime_face_detection&#39;</span><span class="p">,</span>
-        <span class="sa">f</span><span class="s1">&#39;face_detect_</span><span class="si">{</span><span class="n">version</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">level</span><span class="si">}</span><span class="s1">/model.onnx&#39;</span>
-    <span class="p">))</span>
-
-
-<div class="viewcode-block" id="detect_faces"><a class="viewcode-back" href="../../../api_doc/detect/face.html#imgutils.detect.face.detect_faces">[docs]</a><span class="k">def</span> <span class="nf">detect_faces</span><span class="p">(</span><span class="n">image</span><span class="p">:</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.4&#39;</span><span class="p">,</span> <span class="n">max_infer_size</span><span class="o">=</span><span class="mi">640</span><span class="p">,</span>
+<div class="viewcode-block" id="detect_faces"><a class="viewcode-back" href="../../../api_doc/detect/face.html#imgutils.detect.face.detect_faces">[docs]</a><span class="k">def</span> <span class="nf">detect_faces</span><span class="p">(</span><span class="n">image</span><span class="p">:</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.4&#39;</span><span class="p">,</span> <span class="n">model_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
                  <span class="n">conf_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.25</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.7</span><span class="p">)</span> \
         <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]]:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">    Overview:</span>
-<span class="sd">        Detect human faces in anime images.</span>
-
-<span class="sd">    :param image: Image to detect.</span>
-<span class="sd">    :param level: The model level being used can be either `s` or `n`.</span>
-<span class="sd">        The `n` model runs faster with smaller system overface, while the `s` model achieves higher accuracy.</span>
-<span class="sd">        The default value is `s`.</span>
-<span class="sd">    :param version: Version of model, default is ``v1.4``.</span>
-<span class="sd">        Available versions are ``v0``, ``v1``, ``v1.3`` and ``v1.4``.</span>
-<span class="sd">    :param max_infer_size: The maximum image size used for model inference, if the image size exceeds this limit,</span>
-<span class="sd">        the image will be resized and used for inference. The default value is `640` pixels.</span>
-<span class="sd">    :param conf_threshold: The confidence threshold, only detection results with confidence scores above</span>
-<span class="sd">        this threshold will be returned. The default value is `0.25`.</span>
-<span class="sd">    :param iou_threshold: The detection area coverage overlap threshold, areas with overlaps above this threshold</span>
-<span class="sd">        will be discarded. The default value is `0.7`.</span>
-<span class="sd">    :return: The detection results list, each item includes the detected area `(x0, y0, x1, y1)`,</span>
-<span class="sd">        the target type (always `face`) and the target confidence score.</span>
+<span class="sd">    Detect human faces in anime images using YOLOv8 models.</span>
+
+<span class="sd">    This function applies a pre-trained YOLOv8 model to detect faces in the given anime image.</span>
+<span class="sd">    It supports different model levels and versions, allowing users to balance between</span>
+<span class="sd">    detection speed and accuracy.</span>
+
+<span class="sd">    :param image: The input image for face detection. Can be various image types supported by ImageTyping.</span>
+<span class="sd">    :type image: ImageTyping</span>
+
+<span class="sd">    :param level: The model level to use. Can be either &#39;s&#39; (standard) or &#39;n&#39; (nano).</span>
+<span class="sd">                  The &#39;n&#39; model is faster with less system overhead, while &#39;s&#39; offers higher accuracy.</span>
+<span class="sd">                  Default is &#39;s&#39;.</span>
+<span class="sd">    :type level: str</span>
+
+<span class="sd">    :param version: The version of the model to use. Available versions are &#39;v0&#39;, &#39;v1&#39;, &#39;v1.3&#39;, and &#39;v1.4&#39;.</span>
+<span class="sd">                    Default is &#39;v1.4&#39;.</span>
+<span class="sd">    :type version: str</span>
+
+<span class="sd">    :param model_name: Optional custom model name. If provided, it overrides the auto-generated model name.</span>
+<span class="sd">    :type model_name: Optional[str]</span>
+
+<span class="sd">    :param conf_threshold: The confidence threshold for detections. Only detections with confidence</span>
+<span class="sd">                           scores above this threshold will be returned. Default is 0.25.</span>
+<span class="sd">    :type conf_threshold: float</span>
+
+<span class="sd">    :param iou_threshold: The Intersection over Union (IoU) threshold for non-maximum suppression.</span>
+<span class="sd">                          Detections with IoU above this threshold will be merged. Default is 0.7.</span>
+<span class="sd">    :type iou_threshold: float</span>
+
+<span class="sd">    :return: A list of detected faces. Each face is represented by a tuple containing:</span>
+<span class="sd">             - Bounding box coordinates as (x0, y0, x1, y1)</span>
+<span class="sd">             - The string &#39;face&#39; (as this function only detects faces)</span>
+<span class="sd">             - The confidence score of the detection</span>
+<span class="sd">    :rtype: List[Tuple[Tuple[int, int, int, int], str, float]]</span>
 
 <span class="sd">    Examples::</span>
 <span class="sd">        &gt;&gt;&gt; from imgutils.detect import detect_faces, detection_visualize</span>
@@ -182,12 +189,13 @@ <h1>Source code for imgutils.detect.face</h1><div class="highlight"><pre>
 <span class="sd">        &gt;&gt;&gt; plt.imshow(detection_visualize(image, result))</span>
 <span class="sd">        &gt;&gt;&gt; plt.show()</span>
 <span class="sd">    &quot;&quot;&quot;</span>
-    <span class="n">image</span> <span class="o">=</span> <span class="n">load_image</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;RGB&#39;</span><span class="p">)</span>
-    <span class="n">new_image</span><span class="p">,</span> <span class="n">old_size</span><span class="p">,</span> <span class="n">new_size</span> <span class="o">=</span> <span class="n">_image_preprocess</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">max_infer_size</span><span class="p">)</span>
-
-    <span class="n">data</span> <span class="o">=</span> <span class="n">rgb_encode</span><span class="p">(</span><span class="n">new_image</span><span class="p">)[</span><span class="kc">None</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>
-    <span class="n">output</span><span class="p">,</span> <span class="o">=</span> <span class="n">_open_face_detect_model</span><span class="p">(</span><span class="n">level</span><span class="p">,</span> <span class="n">version</span><span class="p">)</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="s1">&#39;output0&#39;</span><span class="p">],</span> <span class="p">{</span><span class="s1">&#39;images&#39;</span><span class="p">:</span> <span class="n">data</span><span class="p">})</span>
-    <span class="k">return</span> <span class="n">_data_postprocess</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">conf_threshold</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">,</span> <span class="n">old_size</span><span class="p">,</span> <span class="n">new_size</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;face&#39;</span><span class="p">])</span></div>
+    <span class="k">return</span> <span class="n">yolo_predict</span><span class="p">(</span>
+        <span class="n">image</span><span class="o">=</span><span class="n">image</span><span class="p">,</span>
+        <span class="n">repo_id</span><span class="o">=</span><span class="n">_REPO_ID</span><span class="p">,</span>
+        <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span> <span class="ow">or</span> <span class="sa">f</span><span class="s1">&#39;face_detect_</span><span class="si">{</span><span class="n">version</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">level</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">,</span>
+        <span class="n">conf_threshold</span><span class="o">=</span><span class="n">conf_threshold</span><span class="p">,</span>
+        <span class="n">iou_threshold</span><span class="o">=</span><span class="n">iou_threshold</span><span class="p">,</span>
+    <span class="p">)</span></div>
 </pre></div>
 
 
diff --git a/dev/yolo/_modules/imgutils/detect/halfbody.html b/dev/yolo/_modules/imgutils/detect/halfbody.html
index 55566172827..075d97f7862 100644
--- a/dev/yolo/_modules/imgutils/detect/halfbody.html
+++ b/dev/yolo/_modules/imgutils/detect/halfbody.html
@@ -129,47 +129,52 @@ <h1>Source code for imgutils.detect.halfbody</h1><div class="highlight"><pre>
 <span class="sd">        and then use this tool to obtain upper-body images.</span>
 
 <span class="sd">&quot;&quot;&quot;</span>
-<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">lru_cache</span>
-<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Optional</span>
 
-<span class="kn">from</span> <span class="nn">huggingface_hub</span> <span class="kn">import</span> <span class="n">hf_hub_download</span>
+<span class="kn">from</span> <span class="nn">..data</span> <span class="kn">import</span> <span class="n">ImageTyping</span>
+<span class="kn">from</span> <span class="nn">..generic</span> <span class="kn">import</span> <span class="n">yolo_predict</span>
 
-<span class="kn">from</span> <span class="nn">._yolo</span> <span class="kn">import</span> <span class="n">_image_preprocess</span><span class="p">,</span> <span class="n">_data_postprocess</span>
-<span class="kn">from</span> <span class="nn">..data</span> <span class="kn">import</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">load_image</span><span class="p">,</span> <span class="n">rgb_encode</span>
-<span class="kn">from</span> <span class="nn">..utils</span> <span class="kn">import</span> <span class="n">open_onnx_model</span>
+<span class="n">_REPO_ID</span> <span class="o">=</span> <span class="s1">&#39;deepghs/anime_halfbody_detection&#39;</span>
 
 
-<span class="nd">@lru_cache</span><span class="p">()</span>
-<span class="k">def</span> <span class="nf">_open_halfbody_detect_model</span><span class="p">(</span><span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.0&#39;</span><span class="p">):</span>
-    <span class="k">return</span> <span class="n">open_onnx_model</span><span class="p">(</span><span class="n">hf_hub_download</span><span class="p">(</span>
-        <span class="sa">f</span><span class="s1">&#39;deepghs/anime_halfbody_detection&#39;</span><span class="p">,</span>
-        <span class="sa">f</span><span class="s1">&#39;halfbody_detect_</span><span class="si">{</span><span class="n">version</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">level</span><span class="si">}</span><span class="s1">/model.onnx&#39;</span>
-    <span class="p">))</span>
+<div class="viewcode-block" id="detect_halfbody"><a class="viewcode-back" href="../../../api_doc/detect/halfbody.html#imgutils.detect.halfbody.detect_halfbody">[docs]</a><span class="k">def</span> <span class="nf">detect_halfbody</span><span class="p">(</span><span class="n">image</span><span class="p">:</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.0&#39;</span><span class="p">,</span> <span class="n">model_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+                    <span class="n">conf_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.7</span><span class="p">)</span> \
+        <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]]:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Detect human upper-half body in anime images.</span>
 
+<span class="sd">    This function uses a YOLOv8 model to detect and localize upper-half bodies in anime-style images.</span>
+<span class="sd">    It supports different model levels and versions for flexibility in speed and accuracy trade-offs.</span>
 
-<span class="n">_LABELS</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;halfbody&quot;</span><span class="p">]</span>
+<span class="sd">    :param image: The input image to perform detection on. Can be a file path, URL, or image data.</span>
+<span class="sd">    :type image: ImageTyping</span>
 
+<span class="sd">    :param level: The model level to use. Can be either &#39;s&#39; (standard) or &#39;n&#39; (nano).</span>
+<span class="sd">                  The &#39;n&#39; model is faster with lower system overhead, while &#39;s&#39; offers higher accuracy.</span>
+<span class="sd">                  Default is &#39;s&#39;.</span>
+<span class="sd">    :type level: str</span>
 
-<div class="viewcode-block" id="detect_halfbody"><a class="viewcode-back" href="../../../api_doc/detect/halfbody.html#imgutils.detect.halfbody.detect_halfbody">[docs]</a><span class="k">def</span> <span class="nf">detect_halfbody</span><span class="p">(</span><span class="n">image</span><span class="p">:</span> <span class="n">ImageTyping</span><span class="p">,</span> <span class="n">level</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;v1.0&#39;</span><span class="p">,</span> <span class="n">max_infer_size</span><span class="o">=</span><span class="mi">640</span><span class="p">,</span>
-                    <span class="n">conf_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.7</span><span class="p">)</span> \
-        <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]]:</span>
-<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">    Overview:</span>
-<span class="sd">        Detect human upper-half body in anime images.</span>
-
-<span class="sd">    :param image: Image to detect.</span>
-<span class="sd">    :param level: The model level being used can be either `s` or `n`.</span>
-<span class="sd">        The `n` model runs faster with smaller system overhead, while the `s` model achieves higher accuracy.</span>
-<span class="sd">        The default value is `s`.</span>
-<span class="sd">    :param version: Version of model, default is ``v1.0``.</span>
-<span class="sd">    :param max_infer_size: The maximum image size used for model inference, if the image size exceeds this limit,</span>
-<span class="sd">        the image will be resized and used for inference. The default value is `640` pixels.</span>
-<span class="sd">    :param conf_threshold: The confidence threshold, only detection results with confidence scores above</span>
-<span class="sd">        this threshold will be returned. The default value is `0.5`.</span>
-<span class="sd">    :param iou_threshold: The detection area coverage overlap threshold, areas with overlaps above this threshold</span>
-<span class="sd">        will be discarded. The default value is `0.7`.</span>
-<span class="sd">    :return: The detection results list, each item includes the detected area `(x0, y0, x1, y1)`,</span>
-<span class="sd">        the target type (always `halfbody`) and the target confidence score.</span>
+<span class="sd">    :param version: Version of the model to use. Default is &#39;v1.0&#39;.</span>
+<span class="sd">    :type version: str</span>
+
+<span class="sd">    :param model_name: Optional custom model name. If not provided, it&#39;s constructed from version and level.</span>
+<span class="sd">    :type model_name: Optional[str]</span>
+
+<span class="sd">    :param conf_threshold: Confidence threshold for detections. Only detections with confidence above</span>
+<span class="sd">                           this threshold are returned. Default is 0.5.</span>
+<span class="sd">    :type conf_threshold: float</span>
+
+<span class="sd">    :param iou_threshold: Intersection over Union (IoU) threshold for non-maximum suppression.</span>
+<span class="sd">                          Overlapping detections above this threshold are merged. Default is 0.7.</span>
+<span class="sd">    :type iou_threshold: float</span>
+
+<span class="sd">    :return: A list of detections. Each detection is a tuple containing:</span>
+<span class="sd">             - Bounding box coordinates as (x0, y0, x1, y1)</span>
+<span class="sd">             - The string &#39;halfbody&#39; (always)</span>
+<span class="sd">             - The confidence score of the detection</span>
+<span class="sd">    :rtype: List[Tuple[Tuple[int, int, int, int], str, float]]</span>
+
+<span class="sd">    :raises ValueError: If an invalid level or version is provided.</span>
 
 <span class="sd">    Examples::</span>
 <span class="sd">        &gt;&gt;&gt; from imgutils.detect import detect_halfbody, detection_visualize</span>
@@ -184,12 +189,13 @@ <h1>Source code for imgutils.detect.halfbody</h1><div class="highlight"><pre>
 <span class="sd">        &gt;&gt;&gt; plt.imshow(detection_visualize(image, result))</span>
 <span class="sd">        &gt;&gt;&gt; plt.show()</span>
 <span class="sd">    &quot;&quot;&quot;</span>
-    <span class="n">image</span> <span class="o">=</span> <span class="n">load_image</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;RGB&#39;</span><span class="p">)</span>
-    <span class="n">new_image</span><span class="p">,</span> <span class="n">old_size</span><span class="p">,</span> <span class="n">new_size</span> <span class="o">=</span> <span class="n">_image_preprocess</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">max_infer_size</span><span class="p">)</span>
-
-    <span class="n">data</span> <span class="o">=</span> <span class="n">rgb_encode</span><span class="p">(</span><span class="n">new_image</span><span class="p">)[</span><span class="kc">None</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>
-    <span class="n">output</span><span class="p">,</span> <span class="o">=</span> <span class="n">_open_halfbody_detect_model</span><span class="p">(</span><span class="n">level</span><span class="p">,</span> <span class="n">version</span><span class="p">)</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="s1">&#39;output0&#39;</span><span class="p">],</span> <span class="p">{</span><span class="s1">&#39;images&#39;</span><span class="p">:</span> <span class="n">data</span><span class="p">})</span>
-    <span class="k">return</span> <span class="n">_data_postprocess</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">conf_threshold</span><span class="p">,</span> <span class="n">iou_threshold</span><span class="p">,</span> <span class="n">old_size</span><span class="p">,</span> <span class="n">new_size</span><span class="p">,</span> <span class="n">_LABELS</span><span class="p">)</span></div>
+    <span class="k">return</span> <span class="n">yolo_predict</span><span class="p">(</span>
+        <span class="n">image</span><span class="o">=</span><span class="n">image</span><span class="p">,</span>
+        <span class="n">repo_id</span><span class="o">=</span><span class="n">_REPO_ID</span><span class="p">,</span>
+        <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span> <span class="ow">or</span> <span class="sa">f</span><span class="s1">&#39;halfbody_detect_</span><span class="si">{</span><span class="n">version</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">level</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">,</span>
+        <span class="n">conf_threshold</span><span class="o">=</span><span class="n">conf_threshold</span><span class="p">,</span>
+        <span class="n">iou_threshold</span><span class="o">=</span><span class="n">iou_threshold</span><span class="p">,</span>
+    <span class="p">)</span></div>
 </pre></div>
 
 
diff --git a/dev/yolo/_sources/information/environment.result.ipynb.txt b/dev/yolo/_sources/information/environment.result.ipynb.txt
index f0976b026a1..33c02cd0699 100644
--- a/dev/yolo/_sources/information/environment.result.ipynb.txt
+++ b/dev/yolo/_sources/information/environment.result.ipynb.txt
@@ -29,10 +29,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-17T14:25:14.153499Z",
-     "iopub.status.busy": "2024-09-17T14:25:14.153299Z",
-     "iopub.status.idle": "2024-09-17T14:25:15.319410Z",
-     "shell.execute_reply": "2024-09-17T14:25:15.318650Z"
+     "iopub.execute_input": "2024-09-17T15:18:58.391390Z",
+     "iopub.status.busy": "2024-09-17T15:18:58.390792Z",
+     "iopub.status.idle": "2024-09-17T15:18:59.574299Z",
+     "shell.execute_reply": "2024-09-17T15:18:59.573535Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -43,7 +43,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "OS: Linux-6.8.0-1014-azure-x86_64-with-glibc2.34\n",
+      "OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34\n",
       "Python: CPython 3.8.18\n"
      ]
     },
@@ -53,8 +53,8 @@
      "text": [
       "CPU Brand: AMD EPYC 7763 64-Core Processor\n",
       "CPU Count: 4\n",
-      "CPU Freq: 3251.157 MHz\n",
-      "Memory Size: 15.615 GiB\n",
+      "CPU Freq: 2925.0015000000003 MHz\n",
+      "Memory Size: 15.606 GiB\n",
       "Has CUDA: No\n"
      ]
     }
diff --git a/dev/yolo/api_doc/detect/censor.html b/dev/yolo/api_doc/detect/censor.html
index d1102068f3e..ca9b26de550 100644
--- a/dev/yolo/api_doc/detect/censor.html
+++ b/dev/yolo/api_doc/detect/censor.html
@@ -141,30 +141,41 @@
 <h2>detect_censors<a class="headerlink" href="#detect-censors" title="Permalink to this heading"></a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="imgutils.detect.censor.detect_censors">
-<span class="sig-prename descclassname"><span class="pre">imgutils.detect.censor.</span></span><span class="sig-name descname"><span class="pre">detect_censors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">PathLike</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytes</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytearray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">BinaryIO</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'s'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">version</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'v1.0'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_infer_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">640</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conf_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../_modules/imgutils/detect/censor.html#detect_censors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#imgutils.detect.censor.detect_censors" title="Permalink to this definition"></a></dt>
-<dd><dl class="simple">
-<dt>Overview:</dt><dd><p>Detect human censor points in anime images.</p>
-</dd>
-</dl>
+<span class="sig-prename descclassname"><span class="pre">imgutils.detect.censor.</span></span><span class="sig-name descname"><span class="pre">detect_censors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">PathLike</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytes</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytearray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">BinaryIO</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'s'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">version</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'v1.0'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conf_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../_modules/imgutils/detect/censor.html#detect_censors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#imgutils.detect.censor.detect_censors" title="Permalink to this definition"></a></dt>
+<dd><p>Detect human censor points in anime images.</p>
+<p>This function uses pre-trained YOLOv8 models to identify and locate specific
+anatomical features that are typically censored in anime images. It can detect
+female nipples, male genitals, and female genitals.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>image</strong> – Image to detect.</p></li>
-<li><p><strong>level</strong> – The model level being used can be either <cite>s</cite> or <cite>n</cite>.
-The <cite>n</cite> model runs faster with smaller system overhead, while the <cite>s</cite> model achieves higher accuracy.
-The default value is <cite>s</cite>.</p></li>
-<li><p><strong>version</strong> – Version of model, default is <code class="docutils literal notranslate"><span class="pre">v1.0</span></code>.</p></li>
-<li><p><strong>max_infer_size</strong> – The maximum image size used for model inference, if the image size exceeds this limit,
-the image will be resized and used for inference. The default value is <cite>640</cite> pixels.</p></li>
-<li><p><strong>conf_threshold</strong> – The confidence threshold, only detection results with confidence scores above
-this threshold will be returned. The default value is <cite>0.3</cite>.</p></li>
-<li><p><strong>iou_threshold</strong> – The detection area coverage overlap threshold, areas with overlaps above this threshold
-will be discarded. The default value is <cite>0.7</cite>.</p></li>
+<li><p><strong>image</strong> (<em>ImageTyping</em>) – The input image to be analyzed. Can be a file path, URL, or image data.</p></li>
+<li><p><strong>level</strong> (<em>str</em>) – The model level to use, either ‘s’ (standard) or ‘n’ (nano).
+The ‘n’ model is faster but less accurate, while ‘s’ is more accurate but slower.</p></li>
+<li><p><strong>version</strong> (<em>str</em>) – The version of the model to use. Default is ‘v1.0’.</p></li>
+<li><p><strong>model_name</strong> (<em>Optional</em><em>[</em><em>str</em><em>]</em>) – Optional custom model name. If not provided, it will be constructed
+from the version and level.</p></li>
+<li><p><strong>conf_threshold</strong> (<em>float</em>) – The confidence threshold for detections. Only detections with
+confidence above this value will be returned. Default is 0.3.</p></li>
+<li><p><strong>iou_threshold</strong> (<em>float</em>) – The Intersection over Union (IoU) threshold for non-maximum
+suppression. Detections with IoU above this value will be merged.
+Default is 0.7.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p>The detection results list, each item includes the detected area <cite>(x0, y0, x1, y1)</cite>,
-the target type (one of <cite>nipple_f</cite>, <cite>penis</cite> and <cite>pussy</cite>) and the target confidence score.</p>
+<dd class="field-even"><p>A list of tuples, each containing:
+- A tuple of four integers (x0, y0, x1, y1) representing the bounding box
+- A string indicating the type of detection (‘nipple_f’, ‘penis’, or ‘pussy’)
+- A float representing the confidence score of the detection</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>List[Tuple[Tuple[int, int, int, int], str, float]]</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>ValueError</strong> – If an invalid level is provided.</p></li>
+<li><p><strong>RuntimeError</strong> – If the model fails to load or process the image.</p></li>
+</ul>
 </dd>
 </dl>
 <dl>
diff --git a/dev/yolo/api_doc/detect/eye.html b/dev/yolo/api_doc/detect/eye.html
index cf02d8bae5a..2f8c2d235cb 100644
--- a/dev/yolo/api_doc/detect/eye.html
+++ b/dev/yolo/api_doc/detect/eye.html
@@ -140,30 +140,36 @@
 <h2>detect_eyes<a class="headerlink" href="#detect-eyes" title="Permalink to this heading"></a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="imgutils.detect.eye.detect_eyes">
-<span class="sig-prename descclassname"><span class="pre">imgutils.detect.eye.</span></span><span class="sig-name descname"><span class="pre">detect_eyes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">PathLike</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytes</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytearray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">BinaryIO</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'s'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">version</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'v1.0'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_infer_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">640</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conf_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.3</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../_modules/imgutils/detect/eye.html#detect_eyes"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#imgutils.detect.eye.detect_eyes" title="Permalink to this definition"></a></dt>
-<dd><dl class="simple">
-<dt>Overview:</dt><dd><p>Detect human eyes in anime images.</p>
-</dd>
-</dl>
+<span class="sig-prename descclassname"><span class="pre">imgutils.detect.eye.</span></span><span class="sig-name descname"><span class="pre">detect_eyes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">PathLike</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytes</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytearray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">BinaryIO</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'s'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">version</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'v1.0'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conf_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.3</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../_modules/imgutils/detect/eye.html#detect_eyes"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#imgutils.detect.eye.detect_eyes" title="Permalink to this definition"></a></dt>
+<dd><p>Detect human eyes in anime images.</p>
+<p>This function uses a YOLOv8 model to detect eyes in the given anime image. It supports
+different model levels and versions, allowing for a trade-off between speed and accuracy.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>image</strong> – Image to detect.</p></li>
-<li><p><strong>level</strong> – The model level being used can be either <cite>s</cite> or <cite>n</cite>.
-The <cite>n</cite> model runs faster with smaller system overhead, while the <cite>s</cite> model achieves higher accuracy.
-The default value is <cite>s</cite>.</p></li>
-<li><p><strong>version</strong> – Version of model, default is <code class="docutils literal notranslate"><span class="pre">v1.0</span></code>.</p></li>
-<li><p><strong>max_infer_size</strong> – The maximum image size used for model inference, if the image size exceeds this limit,
-the image will be resized and used for inference. The default value is <cite>640</cite> pixels.</p></li>
-<li><p><strong>conf_threshold</strong> – The confidence threshold, only detection results with confidence scores above
-this threshold will be returned. The default value is <cite>0.3</cite>.</p></li>
-<li><p><strong>iou_threshold</strong> – The detection area coverage overlap threshold, areas with overlaps above this threshold
-will be discarded. The default value is <cite>0.3</cite>.</p></li>
+<li><p><strong>image</strong> (<em>ImageTyping</em>) – The input image for eye detection. Can be various image types supported by ImageTyping.</p></li>
+<li><p><strong>level</strong> (<em>str</em>) – The model level to use. Can be either ‘s’ (for higher accuracy) or ‘n’ (for faster processing).
+Default is ‘s’.</p></li>
+<li><p><strong>version</strong> (<em>str</em>) – Version of the model to use. Default is ‘v1.0’.</p></li>
+<li><p><strong>model_name</strong> (<em>Optional</em><em>[</em><em>str</em><em>]</em>) – Optional custom model name. If not provided, it’s constructed using version and level.</p></li>
+<li><p><strong>conf_threshold</strong> (<em>float</em>) – Confidence threshold for detections. Only detections with confidence above this
+threshold are returned. Default is 0.3.</p></li>
+<li><p><strong>iou_threshold</strong> (<em>float</em>) – Intersection over Union (IoU) threshold for non-maximum suppression.
+Detections with IoU above this threshold are considered overlapping and merged.
+Default is 0.3.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p>The detection results list, each item includes the detected area <cite>(x0, y0, x1, y1)</cite>,
-the target type (always <cite>eye</cite>) and the target confidence score.</p>
+<dd class="field-even"><p>A list of detected eyes. Each detection is represented by a tuple containing:
+- Bounding box coordinates as (x0, y0, x1, y1)
+- Detection class (always ‘eye’ for this function)
+- Confidence score of the detection</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>List[Tuple[Tuple[int, int, int, int], str, float]]</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><p>May raise exceptions related to image loading or model prediction (from yolo_predict function).</p>
 </dd>
 </dl>
 <dl>
diff --git a/dev/yolo/api_doc/detect/face.html b/dev/yolo/api_doc/detect/face.html
index 88565740101..d53e9a24147 100644
--- a/dev/yolo/api_doc/detect/face.html
+++ b/dev/yolo/api_doc/detect/face.html
@@ -143,31 +143,35 @@
 <h2>detect_faces<a class="headerlink" href="#detect-faces" title="Permalink to this heading"></a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="imgutils.detect.face.detect_faces">
-<span class="sig-prename descclassname"><span class="pre">imgutils.detect.face.</span></span><span class="sig-name descname"><span class="pre">detect_faces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">PathLike</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytes</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytearray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">BinaryIO</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'s'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">version</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'v1.4'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_infer_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">640</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conf_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../_modules/imgutils/detect/face.html#detect_faces"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#imgutils.detect.face.detect_faces" title="Permalink to this definition"></a></dt>
-<dd><dl class="simple">
-<dt>Overview:</dt><dd><p>Detect human faces in anime images.</p>
-</dd>
-</dl>
+<span class="sig-prename descclassname"><span class="pre">imgutils.detect.face.</span></span><span class="sig-name descname"><span class="pre">detect_faces</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">PathLike</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytes</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytearray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">BinaryIO</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'s'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">version</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'v1.4'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conf_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../_modules/imgutils/detect/face.html#detect_faces"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#imgutils.detect.face.detect_faces" title="Permalink to this definition"></a></dt>
+<dd><p>Detect human faces in anime images using YOLOv8 models.</p>
+<p>This function applies a pre-trained YOLOv8 model to detect faces in the given anime image.
+It supports different model levels and versions, allowing users to balance between
+detection speed and accuracy.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>image</strong> – Image to detect.</p></li>
-<li><p><strong>level</strong> – The model level being used can be either <cite>s</cite> or <cite>n</cite>.
-The <cite>n</cite> model runs faster with smaller system overface, while the <cite>s</cite> model achieves higher accuracy.
-The default value is <cite>s</cite>.</p></li>
-<li><p><strong>version</strong> – Version of model, default is <code class="docutils literal notranslate"><span class="pre">v1.4</span></code>.
-Available versions are <code class="docutils literal notranslate"><span class="pre">v0</span></code>, <code class="docutils literal notranslate"><span class="pre">v1</span></code>, <code class="docutils literal notranslate"><span class="pre">v1.3</span></code> and <code class="docutils literal notranslate"><span class="pre">v1.4</span></code>.</p></li>
-<li><p><strong>max_infer_size</strong> – The maximum image size used for model inference, if the image size exceeds this limit,
-the image will be resized and used for inference. The default value is <cite>640</cite> pixels.</p></li>
-<li><p><strong>conf_threshold</strong> – The confidence threshold, only detection results with confidence scores above
-this threshold will be returned. The default value is <cite>0.25</cite>.</p></li>
-<li><p><strong>iou_threshold</strong> – The detection area coverage overlap threshold, areas with overlaps above this threshold
-will be discarded. The default value is <cite>0.7</cite>.</p></li>
+<li><p><strong>image</strong> (<em>ImageTyping</em>) – The input image for face detection. Can be various image types supported by ImageTyping.</p></li>
+<li><p><strong>level</strong> (<em>str</em>) – The model level to use. Can be either ‘s’ (standard) or ‘n’ (nano).
+The ‘n’ model is faster with less system overhead, while ‘s’ offers higher accuracy.
+Default is ‘s’.</p></li>
+<li><p><strong>version</strong> (<em>str</em>) – The version of the model to use. Available versions are ‘v0’, ‘v1’, ‘v1.3’, and ‘v1.4’.
+Default is ‘v1.4’.</p></li>
+<li><p><strong>model_name</strong> (<em>Optional</em><em>[</em><em>str</em><em>]</em>) – Optional custom model name. If provided, it overrides the auto-generated model name.</p></li>
+<li><p><strong>conf_threshold</strong> (<em>float</em>) – The confidence threshold for detections. Only detections with confidence
+scores above this threshold will be returned. Default is 0.25.</p></li>
+<li><p><strong>iou_threshold</strong> (<em>float</em>) – The Intersection over Union (IoU) threshold for non-maximum suppression.
+Detections with IoU above this threshold will be merged. Default is 0.7.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p>The detection results list, each item includes the detected area <cite>(x0, y0, x1, y1)</cite>,
-the target type (always <cite>face</cite>) and the target confidence score.</p>
+<dd class="field-even"><p>A list of detected faces. Each face is represented by a tuple containing:
+- Bounding box coordinates as (x0, y0, x1, y1)
+- The string ‘face’ (as this function only detects faces)
+- The confidence score of the detection</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>List[Tuple[Tuple[int, int, int, int], str, float]]</p>
 </dd>
 </dl>
 <dl>
diff --git a/dev/yolo/api_doc/detect/halfbody.html b/dev/yolo/api_doc/detect/halfbody.html
index 230fd29d0ae..98d63630321 100644
--- a/dev/yolo/api_doc/detect/halfbody.html
+++ b/dev/yolo/api_doc/detect/halfbody.html
@@ -149,30 +149,36 @@
 <h2>detect_halfbody<a class="headerlink" href="#detect-halfbody" title="Permalink to this heading"></a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="imgutils.detect.halfbody.detect_halfbody">
-<span class="sig-prename descclassname"><span class="pre">imgutils.detect.halfbody.</span></span><span class="sig-name descname"><span class="pre">detect_halfbody</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">PathLike</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytes</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytearray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">BinaryIO</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'s'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">version</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'v1.0'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_infer_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">640</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conf_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../_modules/imgutils/detect/halfbody.html#detect_halfbody"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#imgutils.detect.halfbody.detect_halfbody" title="Permalink to this definition"></a></dt>
-<dd><dl class="simple">
-<dt>Overview:</dt><dd><p>Detect human upper-half body in anime images.</p>
-</dd>
-</dl>
+<span class="sig-prename descclassname"><span class="pre">imgutils.detect.halfbody.</span></span><span class="sig-name descname"><span class="pre">detect_halfbody</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">PathLike</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytes</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">bytearray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">BinaryIO</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'s'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">version</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'v1.0'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conf_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.7</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../_modules/imgutils/detect/halfbody.html#detect_halfbody"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#imgutils.detect.halfbody.detect_halfbody" title="Permalink to this definition"></a></dt>
+<dd><p>Detect human upper-half body in anime images.</p>
+<p>This function uses a YOLOv8 model to detect and localize upper-half bodies in anime-style images.
+It supports different model levels and versions for flexibility in speed and accuracy trade-offs.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>image</strong> – Image to detect.</p></li>
-<li><p><strong>level</strong> – The model level being used can be either <cite>s</cite> or <cite>n</cite>.
-The <cite>n</cite> model runs faster with smaller system overhead, while the <cite>s</cite> model achieves higher accuracy.
-The default value is <cite>s</cite>.</p></li>
-<li><p><strong>version</strong> – Version of model, default is <code class="docutils literal notranslate"><span class="pre">v1.0</span></code>.</p></li>
-<li><p><strong>max_infer_size</strong> – The maximum image size used for model inference, if the image size exceeds this limit,
-the image will be resized and used for inference. The default value is <cite>640</cite> pixels.</p></li>
-<li><p><strong>conf_threshold</strong> – The confidence threshold, only detection results with confidence scores above
-this threshold will be returned. The default value is <cite>0.5</cite>.</p></li>
-<li><p><strong>iou_threshold</strong> – The detection area coverage overlap threshold, areas with overlaps above this threshold
-will be discarded. The default value is <cite>0.7</cite>.</p></li>
+<li><p><strong>image</strong> (<em>ImageTyping</em>) – The input image to perform detection on. Can be a file path, URL, or image data.</p></li>
+<li><p><strong>level</strong> (<em>str</em>) – The model level to use. Can be either ‘s’ (standard) or ‘n’ (nano).
+The ‘n’ model is faster with lower system overhead, while ‘s’ offers higher accuracy.
+Default is ‘s’.</p></li>
+<li><p><strong>version</strong> (<em>str</em>) – Version of the model to use. Default is ‘v1.0’.</p></li>
+<li><p><strong>model_name</strong> (<em>Optional</em><em>[</em><em>str</em><em>]</em>) – Optional custom model name. If not provided, it’s constructed from version and level.</p></li>
+<li><p><strong>conf_threshold</strong> (<em>float</em>) – Confidence threshold for detections. Only detections with confidence above
+this threshold are returned. Default is 0.5.</p></li>
+<li><p><strong>iou_threshold</strong> (<em>float</em>) – Intersection over Union (IoU) threshold for non-maximum suppression.
+Overlapping detections above this threshold are merged. Default is 0.7.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p>The detection results list, each item includes the detected area <cite>(x0, y0, x1, y1)</cite>,
-the target type (always <cite>halfbody</cite>) and the target confidence score.</p>
+<dd class="field-even"><p>A list of detections. Each detection is a tuple containing:
+- Bounding box coordinates as (x0, y0, x1, y1)
+- The string ‘halfbody’ (always)
+- The confidence score of the detection</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>List[Tuple[Tuple[int, int, int, int], str, float]]</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>ValueError</strong> – If an invalid level or version is provided.</p>
 </dd>
 </dl>
 <dl>
diff --git a/dev/yolo/information/environment.html b/dev/yolo/information/environment.html
index b93a84be028..0ab272057f1 100644
--- a/dev/yolo/information/environment.html
+++ b/dev/yolo/information/environment.html
@@ -139,12 +139,12 @@ <h1>Run Environment Information<a class="headerlink" href="#Run-Environment-Info
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-OS: Linux-6.8.0-1014-azure-x86_64-with-glibc2.34
+OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34
 Python: CPython 3.8.18
 CPU Brand: AMD EPYC 7763 64-Core Processor
 CPU Count: 4
-CPU Freq: 3243.54875 MHz
-Memory Size: 15.615 GiB
+CPU Freq: 2920.044 MHz
+Memory Size: 15.606 GiB
 Has CUDA: No
 </pre></div></div>
 </div>
diff --git a/dev/yolo/information/environment.ipynb b/dev/yolo/information/environment.ipynb
index 0071634ded6..2b6957fdec9 100644
--- a/dev/yolo/information/environment.ipynb
+++ b/dev/yolo/information/environment.ipynb
@@ -29,10 +29,10 @@
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-     "iopub.status.idle": "2024-09-17T14:27:36.384639Z",
-     "shell.execute_reply": "2024-09-17T14:27:36.383854Z"
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@@ -43,7 +43,7 @@
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      "output_type": "stream",
      "text": [
-      "OS: Linux-6.8.0-1014-azure-x86_64-with-glibc2.34\n",
+      "OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34\n",
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@@ -53,8 +53,8 @@
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       "CPU Count: 4\n",
-      "CPU Freq: 3243.54875 MHz\n",
-      "Memory Size: 15.615 GiB\n",
+      "CPU Freq: 2920.044 MHz\n",
+      "Memory Size: 15.606 GiB\n",
       "Has CUDA: No\n"
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diff --git a/dev/yolo/information/environment.result.html b/dev/yolo/information/environment.result.html
index 281884f00fd..43829f926b4 100644
--- a/dev/yolo/information/environment.result.html
+++ b/dev/yolo/information/environment.result.html
@@ -141,12 +141,12 @@ <h1>Run Environment Information<a class="headerlink" href="#Run-Environment-Info
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-OS: Linux-6.8.0-1014-azure-x86_64-with-glibc2.34
+OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34
 Python: CPython 3.8.18
 CPU Brand: AMD EPYC 7763 64-Core Processor
 CPU Count: 4
-CPU Freq: 3251.157 MHz
-Memory Size: 15.615 GiB
+CPU Freq: 2925.0015000000003 MHz
+Memory Size: 15.606 GiB
 Has CUDA: No
 </pre></div></div>
 </div>
diff --git a/dev/yolo/information/environment.result.ipynb b/dev/yolo/information/environment.result.ipynb
index f0976b026a1..33c02cd0699 100644
--- a/dev/yolo/information/environment.result.ipynb
+++ b/dev/yolo/information/environment.result.ipynb
@@ -29,10 +29,10 @@
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-     "iopub.status.idle": "2024-09-17T14:25:15.319410Z",
-     "shell.execute_reply": "2024-09-17T14:25:15.318650Z"
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@@ -43,7 +43,7 @@
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      "output_type": "stream",
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-      "CPU Freq: 3251.157 MHz\n",
-      "Memory Size: 15.615 GiB\n",
+      "CPU Freq: 2925.0015000000003 MHz\n",
+      "Memory Size: 15.606 GiB\n",
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diff --git a/dev/yolo/searchindex.js b/dev/yolo/searchindex.js
index c6c4d0c73f0..5c1b7efc68f 100644
--- a/dev/yolo/searchindex.js
+++ b/dev/yolo/searchindex.js
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"serialize_pnginfo() (in module imgutils.metadata.lsb)": [[32, "imgutils.metadata.lsb.serialize_pnginfo"]], "write_lsb_metadata() (in module imgutils.metadata.lsb)": [[32, "imgutils.metadata.lsb.write_lsb_metadata"]], "write_lsb_raw_bytes() (in module imgutils.metadata.lsb)": [[32, "imgutils.metadata.lsb.write_lsb_raw_bytes"]], "get_aesthetic_score() (in module imgutils.metrics.aesthetic)": [[33, "imgutils.metrics.aesthetic.get_aesthetic_score"]], "imgutils.metrics.aesthetic": [[33, "module-imgutils.metrics.aesthetic"]], "ccip_batch_differences() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_batch_differences"]], "ccip_batch_extract_features() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_batch_extract_features"]], "ccip_batch_same() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_batch_same"]], "ccip_clustering() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_clustering"]], "ccip_default_clustering_params() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_default_clustering_params"]], "ccip_default_threshold() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_default_threshold"]], "ccip_difference() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_difference"]], "ccip_extract_feature() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_extract_feature"]], "ccip_merge() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_merge"]], "ccip_same() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_same"]], "imgutils.metrics.ccip": [[34, "module-imgutils.metrics.ccip"]], "anime_dbaesthetic() (in module imgutils.metrics.dbaesthetic)": [[35, "imgutils.metrics.dbaesthetic.anime_dbaesthetic"]], "imgutils.metrics.dbaesthetic": [[35, "module-imgutils.metrics.dbaesthetic"]], "imgutils.metrics": [[36, "module-imgutils.metrics"]], 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"squeeze_with_transparency() (in module imgutils.operate.squeeze)": [[45, "imgutils.operate.squeeze.squeeze_with_transparency"]], "dwpose_estimate() (in module imgutils.pose.dwpose)": [[46, "imgutils.pose.dwpose.dwpose_estimate"]], "imgutils.pose.dwpose": [[46, "module-imgutils.pose.dwpose"]], "left_ankle (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_ANKLE"]], "left_big_toe (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_BIG_TOE"]], "left_ear (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_EYE"]], "left_heel (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_HEEL"]], "left_hip 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"imgutils.sd.nai.save_image_with_naimeta"]], "imgutils.segment": [[60, "module-imgutils.segment"]], "get_isnetis_mask() (in module imgutils.segment.isnetis)": [[61, "imgutils.segment.isnetis.get_isnetis_mask"]], "imgutils.segment.isnetis": [[61, "module-imgutils.segment.isnetis"]], "segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[61, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[61, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[62, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[62, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[62, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[63, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module 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"module-imgutils.tagging"]], "imgutils.tagging.match": [[67, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[67, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[67, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[67, "imgutils.tagging.match.tag_match_suffix"]], "get_mldanbooru_tags() (in module imgutils.tagging.mldanbooru)": [[68, "imgutils.tagging.mldanbooru.get_mldanbooru_tags"]], "imgutils.tagging.mldanbooru": [[68, "module-imgutils.tagging.mldanbooru"]], "imgutils.tagging.order": [[69, "module-imgutils.tagging.order"]], "sort_tags() (in module imgutils.tagging.order)": [[69, "imgutils.tagging.order.sort_tags"]], "drop_overlap_tags() (in module imgutils.tagging.overlap)": [[70, "imgutils.tagging.overlap.drop_overlap_tags"]], "imgutils.tagging.overlap": [[70, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module 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\ No newline at end of file
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"imgutils.metrics.aesthetic": [[33, "module-imgutils.metrics.aesthetic"]], "ccip_batch_differences() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_batch_differences"]], "ccip_batch_extract_features() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_batch_extract_features"]], "ccip_batch_same() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_batch_same"]], "ccip_clustering() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_clustering"]], "ccip_default_clustering_params() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_default_clustering_params"]], "ccip_default_threshold() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_default_threshold"]], "ccip_difference() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_difference"]], "ccip_extract_feature() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_extract_feature"]], "ccip_merge() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_merge"]], "ccip_same() (in module imgutils.metrics.ccip)": [[34, "imgutils.metrics.ccip.ccip_same"]], "imgutils.metrics.ccip": [[34, "module-imgutils.metrics.ccip"]], "anime_dbaesthetic() (in module imgutils.metrics.dbaesthetic)": [[35, "imgutils.metrics.dbaesthetic.anime_dbaesthetic"]], "imgutils.metrics.dbaesthetic": [[35, "module-imgutils.metrics.dbaesthetic"]], "imgutils.metrics": [[36, "module-imgutils.metrics"]], "imgutils.metrics.laplacian": [[37, "module-imgutils.metrics.laplacian"]], "laplacian_score() (in module imgutils.metrics.laplacian)": [[37, "imgutils.metrics.laplacian.laplacian_score"]], "imgutils.metrics.lpips": [[38, "module-imgutils.metrics.lpips"]], "lpips_clustering() (in module imgutils.metrics.lpips)": [[38, "imgutils.metrics.lpips.lpips_clustering"]], "lpips_difference() (in module imgutils.metrics.lpips)": [[38, "imgutils.metrics.lpips.lpips_difference"]], "lpips_extract_feature() (in module imgutils.metrics.lpips)": [[38, "imgutils.metrics.lpips.lpips_extract_feature"]], "imgutils.metrics.psnr_": [[39, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[39, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[40, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[40, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[40, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[40, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[40, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[41, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[41, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[42, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[42, 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"left_big_toe (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_BIG_TOE"]], "left_ear (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_EYE"]], "left_heel (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_HEEL"]], "left_hip (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_HIP"]], "left_knee (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_KNEE"]], "left_shoulder (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_SHOULDER"]], "left_small_toe (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_SMALL_TOE"]], "left_wrist (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.LEFT_WRIST"]], "neck (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.NECK"]], "nose (imgutils.pose.format.openpose18 attribute)": [[47, "imgutils.pose.format.OpenPose18.NOSE"]], "op18keypointset (class in imgutils.pose.format)": [[47, "imgutils.pose.format.OP18KeyPointSet"]], "op18_body_max (in module imgutils.pose.format)": [[47, "imgutils.pose.format.OP18_BODY_MAX"]], "op18_body_min (in module imgutils.pose.format)": [[47, "imgutils.pose.format.OP18_BODY_MIN"]], "op18_face_max (in module imgutils.pose.format)": [[47, "imgutils.pose.format.OP18_FACE_MAX"]], "op18_face_min (in module imgutils.pose.format)": [[47, "imgutils.pose.format.OP18_FACE_MIN"]], "op18_left_foot_max (in module imgutils.pose.format)": [[47, "imgutils.pose.format.OP18_LEFT_FOOT_MAX"]], "op18_left_foot_min (in module 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(class in imgutils.tagging.character)": [[63, "imgutils.tagging.character.CharacterTagPool"]], "__init__() (imgutils.tagging.character.charactertagpool method)": [[63, "imgutils.tagging.character.CharacterTagPool.__init__"]], "drop_basic_character_tags() (imgutils.tagging.character.charactertagpool method)": [[63, "imgutils.tagging.character.CharacterTagPool.drop_basic_character_tags"]], "drop_basic_character_tags() (in module imgutils.tagging.character)": [[63, "imgutils.tagging.character.drop_basic_character_tags"]], "imgutils.tagging.character": [[63, "module-imgutils.tagging.character"]], "is_basic_character_tag() (imgutils.tagging.character.charactertagpool method)": [[63, "imgutils.tagging.character.CharacterTagPool.is_basic_character_tag"]], "is_basic_character_tag() (in module imgutils.tagging.character)": [[63, "imgutils.tagging.character.is_basic_character_tag"]], "get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[64, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[64, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[65, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[65, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[65, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module imgutils.tagging.format)": [[65, "imgutils.tagging.format.tags_to_text"]], "imgutils.tagging": [[66, "module-imgutils.tagging"]], "imgutils.tagging.match": [[67, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[67, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[67, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[67, "imgutils.tagging.match.tag_match_suffix"]], "get_mldanbooru_tags() (in module 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\ No newline at end of file
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diff --git a/main/information/environment.html b/main/information/environment.html
index 47ff60c1689..bbef9c086d6 100644
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 CPU Count: 4
-CPU Freq: 2965.3469999999998 MHz
-Memory Size: 15.615 GiB
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diff --git a/main/information/environment.result.html b/main/information/environment.result.html
index a2e48d17862..51bf21432cd 100644
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 CPU Brand: AMD EPYC 7763 64-Core Processor
 CPU Count: 4
-CPU Freq: 3248.36275 MHz
-Memory Size: 15.615 GiB
+CPU Freq: 2890.67 MHz
+Memory Size: 15.606 GiB
 Has CUDA: No
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@@ -29,10 +29,10 @@
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    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-17T14:27:16.547418Z",
-     "iopub.status.busy": "2024-09-17T14:27:16.547215Z",
-     "iopub.status.idle": "2024-09-17T14:27:17.714387Z",
-     "shell.execute_reply": "2024-09-17T14:27:17.713620Z"
+     "iopub.execute_input": "2024-09-17T15:21:12.890248Z",
+     "iopub.status.busy": "2024-09-17T15:21:12.889712Z",
+     "iopub.status.idle": "2024-09-17T15:21:14.075376Z",
+     "shell.execute_reply": "2024-09-17T15:21:14.074591Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -43,7 +43,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "OS: Linux-6.8.0-1014-azure-x86_64-with-glibc2.34\n",
+      "OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34\n",
       "Python: CPython 3.8.18\n"
      ]
     },
@@ -53,8 +53,8 @@
      "text": [
       "CPU Brand: AMD EPYC 7763 64-Core Processor\n",
       "CPU Count: 4\n",
-      "CPU Freq: 3248.36275 MHz\n",
-      "Memory Size: 15.615 GiB\n",
+      "CPU Freq: 2890.67 MHz\n",
+      "Memory Size: 15.606 GiB\n",
       "Has CUDA: No\n"
      ]
     }
diff --git a/main/searchindex.js b/main/searchindex.js
index c141b208471..f0118ec6583 100644
--- a/main/searchindex.js
+++ b/main/searchindex.js
@@ -1 +1 @@
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"imgutils.validate.monochrome": [[82, "module-imgutils.validate.monochrome"]], "is_monochrome() (in module imgutils.validate.monochrome)": [[82, "imgutils.validate.monochrome.is_monochrome"]], "imgutils.validate.nsfw": [[83, "module-imgutils.validate.nsfw"]], "nsfw_pred() (in module imgutils.validate.nsfw)": [[83, "imgutils.validate.nsfw.nsfw_pred"]], "nsfw_pred_score() (in module imgutils.validate.nsfw)": [[83, "imgutils.validate.nsfw.nsfw_pred_score"]], "anime_portrait() (in module imgutils.validate.portrait)": [[84, "imgutils.validate.portrait.anime_portrait"]], "anime_portrait_score() (in module imgutils.validate.portrait)": [[84, "imgutils.validate.portrait.anime_portrait_score"]], "imgutils.validate.portrait": [[84, "module-imgutils.validate.portrait"]], "anime_rating() (in module imgutils.validate.rating)": [[85, "imgutils.validate.rating.anime_rating"]], "anime_rating_score() (in module imgutils.validate.rating)": [[85, "imgutils.validate.rating.anime_rating_score"]], 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\ No newline at end of file
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"module-imgutils.edge.lineart"]], "edge_image_with_lineart_anime() (in module imgutils.edge.lineart_anime)": [[25, "imgutils.edge.lineart_anime.edge_image_with_lineart_anime"]], "get_edge_by_lineart_anime() (in module imgutils.edge.lineart_anime)": [[25, "imgutils.edge.lineart_anime.get_edge_by_lineart_anime"]], "imgutils.edge.lineart_anime": [[25, "module-imgutils.edge.lineart_anime"]], "classifymodel (class in imgutils.generic.classify)": [[26, "imgutils.generic.classify.ClassifyModel"]], "__init__() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.__init__"]], "classify_predict() (in module imgutils.generic.classify)": [[26, "imgutils.generic.classify.classify_predict"]], "classify_predict_score() (in module imgutils.generic.classify)": [[26, "imgutils.generic.classify.classify_predict_score"]], "clear() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.clear"]], "imgutils.generic.classify": [[26, "module-imgutils.generic.classify"]], "predict() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.predict"]], "predict_score() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.predict_score"]], "imageenhancer (class in imgutils.generic.enhance)": [[27, "imgutils.generic.enhance.ImageEnhancer"]], "__init__() (imgutils.generic.enhance.imageenhancer method)": [[27, "imgutils.generic.enhance.ImageEnhancer.__init__"]], "imgutils.generic.enhance": [[27, "module-imgutils.generic.enhance"]], "process() (imgutils.generic.enhance.imageenhancer method)": [[27, "imgutils.generic.enhance.ImageEnhancer.process"]], "imgutils.generic": [[28, "module-imgutils.generic"]], "imgutils.metadata.geninfo": [[29, "module-imgutils.metadata.geninfo"]], "read_geninfo_exif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.read_geninfo_exif"]], "read_geninfo_gif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.read_geninfo_gif"]], "read_geninfo_parameters() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.read_geninfo_parameters"]], "write_geninfo_exif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.write_geninfo_exif"]], "write_geninfo_gif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.write_geninfo_gif"]], "write_geninfo_parameters() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.write_geninfo_parameters"]], "imgutils.metadata": [[30, "module-imgutils.metadata"]], "imagelsbdataextractor (class in imgutils.metadata.lsb)": [[31, "imgutils.metadata.lsb.ImageLsbDataExtractor"]], "lsbextractor (class in imgutils.metadata.lsb)": [[31, "imgutils.metadata.lsb.LSBExtractor"]], "lsbreaderror (class in imgutils.metadata.lsb)": [[31, "imgutils.metadata.lsb.LSBReadError"]], "__init__() 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"anime_dbaesthetic() (in module imgutils.metrics.dbaesthetic)": [[34, "imgutils.metrics.dbaesthetic.anime_dbaesthetic"]], "imgutils.metrics.dbaesthetic": [[34, "module-imgutils.metrics.dbaesthetic"]], "imgutils.metrics": [[35, "module-imgutils.metrics"]], "imgutils.metrics.laplacian": [[36, "module-imgutils.metrics.laplacian"]], "laplacian_score() (in module imgutils.metrics.laplacian)": [[36, "imgutils.metrics.laplacian.laplacian_score"]], "imgutils.metrics.lpips": [[37, "module-imgutils.metrics.lpips"]], "lpips_clustering() (in module imgutils.metrics.lpips)": [[37, "imgutils.metrics.lpips.lpips_clustering"]], "lpips_difference() (in module imgutils.metrics.lpips)": [[37, "imgutils.metrics.lpips.lpips_difference"]], "lpips_extract_feature() (in module imgutils.metrics.lpips)": [[37, "imgutils.metrics.lpips.lpips_extract_feature"]], "imgutils.metrics.psnr_": [[38, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[38, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[39, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[39, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[39, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[39, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[39, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[40, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[40, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.ColorCensor"]], "pixelatecensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.PixelateCensor"]], "censor_area() (imgutils.operate.censor_.basecensor method)": [[41, "imgutils.operate.censor_.BaseCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.blurcensor method)": [[41, "imgutils.operate.censor_.BlurCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.colorcensor method)": [[41, "imgutils.operate.censor_.ColorCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.pixelatecensor method)": [[41, "imgutils.operate.censor_.PixelateCensor.censor_area"]], "censor_areas() (in module imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.censor_areas"]], "censor_nsfw() (in module imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.censor_nsfw"]], "imgutils.operate.censor_": [[41, "module-imgutils.operate.censor_"]], "register_censor_method() (in module imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.register_censor_method"]], "emojibasedcensor (class in imgutils.operate.imgcensor)": [[42, "imgutils.operate.imgcensor.EmojiBasedCensor"]], "imagebasedcensor (class in 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"imgutils.pose.format.OpenPose18.NOSE"]], "op18keypointset (class in imgutils.pose.format)": [[46, "imgutils.pose.format.OP18KeyPointSet"]], "op18_body_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_BODY_MAX"]], "op18_body_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_BODY_MIN"]], "op18_face_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_FACE_MAX"]], "op18_face_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_FACE_MIN"]], "op18_left_foot_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_LEFT_FOOT_MAX"]], "op18_left_foot_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_LEFT_FOOT_MIN"]], "op18_left_hand_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_LEFT_HAND_MAX"]], "op18_left_hand_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_EYE"]], "right_heel 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"imgutils.pose.format.OP18KeyPointSet.__truediv__"]], "body (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.body"]], "face (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.face"]], "imgutils.pose.format": [[46, "module-imgutils.pose.format"]], "left_foot (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.left_foot"]], "left_hand (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.left_hand"]], "right_foot (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.right_foot"]], "right_hand (imgutils.pose.format.op18keypointset property)": [[46, "imgutils.pose.format.OP18KeyPointSet.right_hand"]], "imgutils.pose": [[47, "module-imgutils.pose"]], "imgutils.pose.visual": [[48, "module-imgutils.pose.visual"]], "op18_visualize() (in module imgutils.pose.visual)": [[48, 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"imgutils.resource.background.list_bg_image_files"]], "list_image_files() (imgutils.resource.background.backgroundimageset method)": [[49, "imgutils.resource.background.BackgroundImageSet.list_image_files"]], "random_bg_image() (in module imgutils.resource.background)": [[49, "imgutils.resource.background.random_bg_image"]], "random_bg_image_file() (in module imgutils.resource.background)": [[49, "imgutils.resource.background.random_bg_image_file"]], "random_image() (imgutils.resource.background.backgroundimageset method)": [[49, "imgutils.resource.background.BackgroundImageSet.random_image"]], "random_image_file() (imgutils.resource.background.backgroundimageset method)": [[49, "imgutils.resource.background.BackgroundImageSet.random_image_file"]], "imgutils.resource": [[50, "module-imgutils.resource"]], "imgutils.restore.adversarial": [[51, "module-imgutils.restore.adversarial"]], "remove_adversarial_noise() (in module imgutils.restore.adversarial)": [[51, "imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[52, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[53, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module imgutils.restore.nafnet)": [[53, "imgutils.restore.nafnet.restore_with_nafnet"]], "imgutils.restore.scunet": [[54, "module-imgutils.restore.scunet"]], "restore_with_scunet() (in module imgutils.restore.scunet)": [[54, "imgutils.restore.scunet.restore_with_scunet"]], "imgutils.sd": [[55, "module-imgutils.sd"]], "sdmetadata (class in imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.SDMetaData"]], "__str__() (imgutils.sd.metadata.sdmetadata method)": [[56, "imgutils.sd.metadata.SDMetaData.__str__"]], "get_sdmeta_from_image() (in module imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.get_sdmeta_from_image"]], "imgutils.sd.metadata": [[56, "module-imgutils.sd.metadata"]], "parse_sdmeta_from_text() (in module imgutils.sd.metadata)": [[56, 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\ No newline at end of file
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index ac96eaefb8a..23befa80565 100644
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"imgutils.edge": [[21, "module-imgutils.edge"]], "edge_image_with_lineart() (in module imgutils.edge.lineart)": [[22, "imgutils.edge.lineart.edge_image_with_lineart"]], "get_edge_by_lineart() (in module imgutils.edge.lineart)": [[22, "imgutils.edge.lineart.get_edge_by_lineart"]], "imgutils.edge.lineart": [[22, "module-imgutils.edge.lineart"]], "edge_image_with_lineart_anime() (in module imgutils.edge.lineart_anime)": [[23, "imgutils.edge.lineart_anime.edge_image_with_lineart_anime"]], "get_edge_by_lineart_anime() (in module imgutils.edge.lineart_anime)": [[23, "imgutils.edge.lineart_anime.get_edge_by_lineart_anime"]], "imgutils.edge.lineart_anime": [[23, "module-imgutils.edge.lineart_anime"]], "get_aesthetic_score() (in module imgutils.metrics.aesthetic)": [[24, "imgutils.metrics.aesthetic.get_aesthetic_score"]], "imgutils.metrics.aesthetic": [[24, "module-imgutils.metrics.aesthetic"]], "ccip_batch_differences() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_batch_differences"]], "ccip_batch_extract_features() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_batch_extract_features"]], "ccip_batch_same() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_batch_same"]], "ccip_clustering() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_clustering"]], "ccip_default_clustering_params() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_default_clustering_params"]], "ccip_default_threshold() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_default_threshold"]], "ccip_difference() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_difference"]], "ccip_extract_feature() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_extract_feature"]], "ccip_same() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_same"]], "imgutils.metrics.ccip": [[25, "module-imgutils.metrics.ccip"]], "imgutils.metrics": [[26, "module-imgutils.metrics"]], "imgutils.metrics.lpips": [[27, "module-imgutils.metrics.lpips"]], "lpips_clustering() (in module imgutils.metrics.lpips)": [[27, "imgutils.metrics.lpips.lpips_clustering"]], "lpips_difference() (in module imgutils.metrics.lpips)": [[27, "imgutils.metrics.lpips.lpips_difference"]], "lpips_extract_feature() (in module imgutils.metrics.lpips)": [[27, "imgutils.metrics.lpips.lpips_extract_feature"]], "imgutils.metrics.psnr_": [[28, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[28, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[29, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[29, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[29, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[29, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[29, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[30, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[30, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[31, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[31, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[31, "imgutils.operate.censor_.ColorCensor"]], "pixelatecensor (class in imgutils.operate.censor_)": [[31, "imgutils.operate.censor_.PixelateCensor"]], "censor_area() (imgutils.operate.censor_.basecensor method)": [[31, "imgutils.operate.censor_.BaseCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.blurcensor method)": [[31, "imgutils.operate.censor_.BlurCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.colorcensor method)": [[31, "imgutils.operate.censor_.ColorCensor.censor_area"]], "censor_area() 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"imgutils.operate.squeeze.squeeze_with_transparency"]], "dwpose_estimate() (in module imgutils.pose.dwpose)": [[35, "imgutils.pose.dwpose.dwpose_estimate"]], "imgutils.pose.dwpose": [[35, "module-imgutils.pose.dwpose"]], "left_ankle (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_ANKLE"]], "left_big_toe (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_BIG_TOE"]], "left_ear (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_EYE"]], "left_heel (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_HEEL"]], "left_hip (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_HIP"]], "left_knee (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_KNEE"]], "left_shoulder (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_SHOULDER"]], "left_small_toe (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_SMALL_TOE"]], "left_wrist (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_WRIST"]], "neck (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.NECK"]], "nose (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.NOSE"]], "op18keypointset (class in imgutils.pose.format)": [[36, "imgutils.pose.format.OP18KeyPointSet"]], "op18_body_max (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_BODY_MAX"]], "op18_body_min (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_BODY_MIN"]], "op18_face_max (in module imgutils.pose.format)": 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"right_ankle (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_EYE"]], "right_heel (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_HEEL"]], "right_hip (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_HIP"]], "right_knee (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_KNEE"]], "right_shoulder (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_SHOULDER"]], "right_small_toe (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_SMALL_TOE"]], "right_wrist (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_WRIST"]], "__init__() (imgutils.pose.format.op18keypointset method)": [[36, "imgutils.pose.format.OP18KeyPointSet.__init__"]], "__mul__() (imgutils.pose.format.op18keypointset method)": [[36, "imgutils.pose.format.OP18KeyPointSet.__mul__"]], "__truediv__() (imgutils.pose.format.op18keypointset method)": [[36, "imgutils.pose.format.OP18KeyPointSet.__truediv__"]], "body (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.body"]], "face (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.face"]], "imgutils.pose.format": [[36, "module-imgutils.pose.format"]], "left_foot (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.left_foot"]], "left_hand (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.left_hand"]], "right_foot (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.right_foot"]], "right_hand (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.right_hand"]], "imgutils.pose": [[37, "module-imgutils.pose"]], "imgutils.pose.visual": [[38, "module-imgutils.pose.visual"]], "op18_visualize() (in module imgutils.pose.visual)": [[38, "imgutils.pose.visual.op18_visualize"]], "imgutils.restore.adversarial": [[39, "module-imgutils.restore.adversarial"]], "remove_adversarial_noise() (in module imgutils.restore.adversarial)": [[39, "imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[40, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[41, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module 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imgutils.tagging.character)": [[49, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.CHAR_WHITELIST_SUFFIX"]], "char_whitelist_word (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.CHAR_WHITELIST_WORD"]], "charactertagpool (class in imgutils.tagging.character)": [[49, "imgutils.tagging.character.CharacterTagPool"]], "__init__() (imgutils.tagging.character.charactertagpool method)": [[49, "imgutils.tagging.character.CharacterTagPool.__init__"]], "drop_basic_character_tags() (imgutils.tagging.character.charactertagpool method)": [[49, "imgutils.tagging.character.CharacterTagPool.drop_basic_character_tags"]], "drop_basic_character_tags() (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.drop_basic_character_tags"]], "imgutils.tagging.character": [[49, "module-imgutils.tagging.character"]], "is_basic_character_tag() (imgutils.tagging.character.charactertagpool method)": [[49, "imgutils.tagging.character.CharacterTagPool.is_basic_character_tag"]], "is_basic_character_tag() (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.is_basic_character_tag"]], "get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[50, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[50, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[51, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[51, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[51, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module 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"imgutils.tagging.overlap": [[56, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module imgutils.tagging.wd14)": [[57, "imgutils.tagging.wd14.get_wd14_tags"]], "imgutils.tagging.wd14": [[57, "module-imgutils.tagging.wd14"]], "imgutils.utils": [[58, "module-imgutils.utils"]], "get_onnx_provider() (in module imgutils.utils.onnxruntime)": [[59, "imgutils.utils.onnxruntime.get_onnx_provider"]], "imgutils.utils.onnxruntime": [[59, "module-imgutils.utils.onnxruntime"]], "open_onnx_model() (in module imgutils.utils.onnxruntime)": [[59, "imgutils.utils.onnxruntime.open_onnx_model"]], "get_ai_created_score() (in module imgutils.validate.aicheck)": [[60, "imgutils.validate.aicheck.get_ai_created_score"]], "imgutils.validate.aicheck": [[60, "module-imgutils.validate.aicheck"]], "is_ai_created() (in module imgutils.validate.aicheck)": [[60, "imgutils.validate.aicheck.is_ai_created"]], "anime_bangumi_char() (in module imgutils.validate.bangumi_char)": [[61, 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\ No newline at end of file
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to imgutils\u2019s Documentation": [[75, "welcome-to-imgutils-s-documentation"]], "Overview": [[75, "overview"]], "Tutorials": [[75, null]], "Information": [[75, null]], "API Documentation": [[75, null]], "Run Environment Information": [[76, "Run-Environment-Information"], [77, "Run-Environment-Information"]], "Installation": [[78, "installation"]], "Quick Start": [[79, "quick-start"]]}, "indexentries": {"ascii_drawing() (in module imgutils.ascii.drawing)": [[0, "imgutils.ascii.drawing.ascii_drawing"]], "imgutils.ascii.drawing": [[0, "module-imgutils.ascii.drawing"]], "module": [[0, "module-imgutils.ascii.drawing"], [1, "module-imgutils.ascii"], [2, "module-imgutils.config"], [3, "module-imgutils.config.meta"], [4, "module-imgutils.data.background"], [5, "module-imgutils.data.decode"], [6, "module-imgutils.data.encode"], [7, "module-imgutils.data.image"], [8, "module-imgutils.data"], [9, "module-imgutils.data.layer"], [10, "module-imgutils.detect.censor"], [11, 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imgutils.config.meta)": [[3, "imgutils.config.meta.__VERSION__"]], "imgutils.config.meta": [[3, "module-imgutils.config.meta"]], "grid_background() (in module imgutils.data.background)": [[4, "imgutils.data.background.grid_background"]], "grid_transparent() (in module imgutils.data.background)": [[4, "imgutils.data.background.grid_transparent"]], "imgutils.data.background": [[4, "module-imgutils.data.background"]], "imgutils.data.decode": [[5, "module-imgutils.data.decode"]], "rgb_decode() (in module imgutils.data.decode)": [[5, "imgutils.data.decode.rgb_decode"]], "imgutils.data.encode": [[6, "module-imgutils.data.encode"]], "rgb_encode() (in module imgutils.data.encode)": [[6, "imgutils.data.encode.rgb_encode"]], "imgutils.data.image": [[7, "module-imgutils.data.image"]], "load_image() (in module imgutils.data.image)": [[7, "imgutils.data.image.load_image"]], "load_images() (in module imgutils.data.image)": [[7, "imgutils.data.image.load_images"]], "imgutils.data": [[8, "module-imgutils.data"]], "imgutils.data.layer": [[9, "module-imgutils.data.layer"]], "istack() (in module imgutils.data.layer)": [[9, "imgutils.data.layer.istack"]], "detect_censors() (in module imgutils.detect.censor)": [[10, "imgutils.detect.censor.detect_censors"]], "imgutils.detect.censor": [[10, "module-imgutils.detect.censor"]], "detect_eyes() (in module imgutils.detect.eye)": [[11, "imgutils.detect.eye.detect_eyes"]], "imgutils.detect.eye": [[11, "module-imgutils.detect.eye"]], "detect_faces() (in module imgutils.detect.face)": [[12, "imgutils.detect.face.detect_faces"]], "imgutils.detect.face": [[12, "module-imgutils.detect.face"]], "detect_halfbody() (in module imgutils.detect.halfbody)": [[13, "imgutils.detect.halfbody.detect_halfbody"]], "imgutils.detect.halfbody": [[13, "module-imgutils.detect.halfbody"]], "detect_hands() (in module imgutils.detect.hand)": [[14, "imgutils.detect.hand.detect_hands"]], "imgutils.detect.hand": [[14, "module-imgutils.detect.hand"]], "detect_heads() (in module imgutils.detect.head)": [[15, "imgutils.detect.head.detect_heads"]], "imgutils.detect.head": [[15, "module-imgutils.detect.head"]], "imgutils.detect": [[16, "module-imgutils.detect"]], "detect_person() (in module imgutils.detect.person)": [[17, "imgutils.detect.person.detect_person"]], "imgutils.detect.person": [[17, "module-imgutils.detect.person"]], "detect_text() (in module imgutils.detect.text)": [[18, "imgutils.detect.text.detect_text"]], "imgutils.detect.text": [[18, "module-imgutils.detect.text"]], "detection_visualize() (in module imgutils.detect.visual)": [[19, "imgutils.detect.visual.detection_visualize"]], "imgutils.detect.visual": [[19, "module-imgutils.detect.visual"]], "edge_image_with_canny() (in module imgutils.edge.canny)": [[20, "imgutils.edge.canny.edge_image_with_canny"]], "get_edge_by_canny() (in module imgutils.edge.canny)": [[20, "imgutils.edge.canny.get_edge_by_canny"]], "imgutils.edge.canny": [[20, "module-imgutils.edge.canny"]], "imgutils.edge": [[21, "module-imgutils.edge"]], "edge_image_with_lineart() (in module imgutils.edge.lineart)": [[22, "imgutils.edge.lineart.edge_image_with_lineart"]], "get_edge_by_lineart() (in module imgutils.edge.lineart)": [[22, "imgutils.edge.lineart.get_edge_by_lineart"]], "imgutils.edge.lineart": [[22, "module-imgutils.edge.lineart"]], "edge_image_with_lineart_anime() (in module imgutils.edge.lineart_anime)": [[23, "imgutils.edge.lineart_anime.edge_image_with_lineart_anime"]], "get_edge_by_lineart_anime() (in module imgutils.edge.lineart_anime)": [[23, "imgutils.edge.lineart_anime.get_edge_by_lineart_anime"]], "imgutils.edge.lineart_anime": [[23, "module-imgutils.edge.lineart_anime"]], "get_aesthetic_score() (in module imgutils.metrics.aesthetic)": [[24, "imgutils.metrics.aesthetic.get_aesthetic_score"]], "imgutils.metrics.aesthetic": [[24, "module-imgutils.metrics.aesthetic"]], "ccip_batch_differences() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_batch_differences"]], "ccip_batch_extract_features() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_batch_extract_features"]], "ccip_batch_same() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_batch_same"]], "ccip_clustering() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_clustering"]], "ccip_default_clustering_params() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_default_clustering_params"]], "ccip_default_threshold() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_default_threshold"]], "ccip_difference() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_difference"]], "ccip_extract_feature() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_extract_feature"]], "ccip_same() (in module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_same"]], "imgutils.metrics.ccip": [[25, 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"left_knee (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_KNEE"]], "left_shoulder (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_SHOULDER"]], "left_small_toe (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_SMALL_TOE"]], "left_wrist (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.LEFT_WRIST"]], "neck (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.NECK"]], "nose (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.NOSE"]], "op18keypointset (class in imgutils.pose.format)": [[36, "imgutils.pose.format.OP18KeyPointSet"]], "op18_body_max (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_BODY_MAX"]], "op18_body_min (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_BODY_MIN"]], "op18_face_max (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_FACE_MAX"]], "op18_face_min (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_FACE_MIN"]], "op18_left_foot_max (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_LEFT_FOOT_MAX"]], "op18_left_foot_min (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_LEFT_FOOT_MIN"]], "op18_left_hand_max (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_LEFT_HAND_MAX"]], "op18_left_hand_min (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[36, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_EYE"]], "right_heel (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_HEEL"]], "right_hip (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_HIP"]], "right_knee (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_KNEE"]], "right_shoulder (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_SHOULDER"]], "right_small_toe (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_SMALL_TOE"]], "right_wrist (imgutils.pose.format.openpose18 attribute)": [[36, "imgutils.pose.format.OpenPose18.RIGHT_WRIST"]], "__init__() (imgutils.pose.format.op18keypointset method)": [[36, "imgutils.pose.format.OP18KeyPointSet.__init__"]], "__mul__() (imgutils.pose.format.op18keypointset method)": [[36, "imgutils.pose.format.OP18KeyPointSet.__mul__"]], "__truediv__() (imgutils.pose.format.op18keypointset method)": [[36, "imgutils.pose.format.OP18KeyPointSet.__truediv__"]], "body (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.body"]], "face (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.face"]], "imgutils.pose.format": [[36, "module-imgutils.pose.format"]], "left_foot (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.left_foot"]], "left_hand (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.left_hand"]], "right_foot (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.right_foot"]], "right_hand (imgutils.pose.format.op18keypointset property)": [[36, "imgutils.pose.format.OP18KeyPointSet.right_hand"]], "imgutils.pose": [[37, "module-imgutils.pose"]], "imgutils.pose.visual": [[38, "module-imgutils.pose.visual"]], "op18_visualize() (in module imgutils.pose.visual)": [[38, "imgutils.pose.visual.op18_visualize"]], "imgutils.restore.adversarial": [[39, "module-imgutils.restore.adversarial"]], "remove_adversarial_noise() (in module imgutils.restore.adversarial)": [[39, "imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[40, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[41, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module imgutils.restore.nafnet)": [[41, "imgutils.restore.nafnet.restore_with_nafnet"]], "imgutils.restore.scunet": [[42, "module-imgutils.restore.scunet"]], "restore_with_scunet() (in module imgutils.restore.scunet)": [[42, "imgutils.restore.scunet.restore_with_scunet"]], "imgutils.sd": [[43, "module-imgutils.sd"]], "sdmetadata (class in imgutils.sd.metadata)": [[44, "imgutils.sd.metadata.SDMetaData"]], "__str__() (imgutils.sd.metadata.sdmetadata method)": [[44, "imgutils.sd.metadata.SDMetaData.__str__"]], "get_sdmeta_from_image() (in module imgutils.sd.metadata)": [[44, "imgutils.sd.metadata.get_sdmeta_from_image"]], "imgutils.sd.metadata": [[44, "module-imgutils.sd.metadata"]], "parse_sdmeta_from_text() (in module imgutils.sd.metadata)": [[44, "imgutils.sd.metadata.parse_sdmeta_from_text"]], "pnginfo (imgutils.sd.metadata.sdmetadata property)": [[44, "imgutils.sd.metadata.SDMetaData.pnginfo"]], "imgutils.sd.model": [[45, "module-imgutils.sd.model"]], "read_metadata() (in module imgutils.sd.model)": [[45, "imgutils.sd.model.read_metadata"]], "save_with_metadata() (in module imgutils.sd.model)": [[45, "imgutils.sd.model.save_with_metadata"]], "imgutils.segment": [[46, "module-imgutils.segment"]], "get_isnetis_mask() (in module imgutils.segment.isnetis)": [[47, "imgutils.segment.isnetis.get_isnetis_mask"]], "imgutils.segment.isnetis": [[47, "module-imgutils.segment.isnetis"]], "segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[47, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[47, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[48, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[48, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[48, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.CHAR_WHITELIST_SUFFIX"]], "char_whitelist_word (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.CHAR_WHITELIST_WORD"]], "charactertagpool (class in imgutils.tagging.character)": [[49, "imgutils.tagging.character.CharacterTagPool"]], "__init__() (imgutils.tagging.character.charactertagpool method)": [[49, "imgutils.tagging.character.CharacterTagPool.__init__"]], "drop_basic_character_tags() (imgutils.tagging.character.charactertagpool method)": [[49, "imgutils.tagging.character.CharacterTagPool.drop_basic_character_tags"]], "drop_basic_character_tags() (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.drop_basic_character_tags"]], "imgutils.tagging.character": [[49, "module-imgutils.tagging.character"]], "is_basic_character_tag() (imgutils.tagging.character.charactertagpool method)": [[49, "imgutils.tagging.character.CharacterTagPool.is_basic_character_tag"]], "is_basic_character_tag() (in module imgutils.tagging.character)": [[49, "imgutils.tagging.character.is_basic_character_tag"]], "get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[50, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[50, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[51, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[51, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[51, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module imgutils.tagging.format)": [[51, "imgutils.tagging.format.tags_to_text"]], "imgutils.tagging": [[52, "module-imgutils.tagging"]], "imgutils.tagging.match": [[53, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[53, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[53, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[53, "imgutils.tagging.match.tag_match_suffix"]], "get_mldanbooru_tags() (in module imgutils.tagging.mldanbooru)": [[54, "imgutils.tagging.mldanbooru.get_mldanbooru_tags"]], "imgutils.tagging.mldanbooru": [[54, "module-imgutils.tagging.mldanbooru"]], "imgutils.tagging.order": [[55, "module-imgutils.tagging.order"]], "sort_tags() (in module imgutils.tagging.order)": [[55, "imgutils.tagging.order.sort_tags"]], "drop_overlap_tags() (in module imgutils.tagging.overlap)": [[56, "imgutils.tagging.overlap.drop_overlap_tags"]], "imgutils.tagging.overlap": [[56, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module imgutils.tagging.wd14)": [[57, "imgutils.tagging.wd14.get_wd14_tags"]], "imgutils.tagging.wd14": [[57, "module-imgutils.tagging.wd14"]], "imgutils.utils": [[58, "module-imgutils.utils"]], "get_onnx_provider() (in module imgutils.utils.onnxruntime)": [[59, "imgutils.utils.onnxruntime.get_onnx_provider"]], "imgutils.utils.onnxruntime": [[59, "module-imgutils.utils.onnxruntime"]], "open_onnx_model() (in module imgutils.utils.onnxruntime)": [[59, "imgutils.utils.onnxruntime.open_onnx_model"]], "get_ai_created_score() (in module imgutils.validate.aicheck)": [[60, "imgutils.validate.aicheck.get_ai_created_score"]], "imgutils.validate.aicheck": [[60, "module-imgutils.validate.aicheck"]], "is_ai_created() (in module imgutils.validate.aicheck)": [[60, "imgutils.validate.aicheck.is_ai_created"]], "anime_bangumi_char() (in module imgutils.validate.bangumi_char)": [[61, "imgutils.validate.bangumi_char.anime_bangumi_char"]], "anime_bangumi_char_score() (in module imgutils.validate.bangumi_char)": [[61, "imgutils.validate.bangumi_char.anime_bangumi_char_score"]], "imgutils.validate.bangumi_char": [[61, "module-imgutils.validate.bangumi_char"]], "anime_classify() (in module imgutils.validate.classify)": [[62, "imgutils.validate.classify.anime_classify"]], "anime_classify_score() (in module imgutils.validate.classify)": [[62, "imgutils.validate.classify.anime_classify_score"]], "imgutils.validate.classify": [[62, "module-imgutils.validate.classify"]], "imgutils.validate.color": [[63, "module-imgutils.validate.color"]], "is_greyscale() (in module imgutils.validate.color)": [[63, "imgutils.validate.color.is_greyscale"]], "anime_completeness() (in module imgutils.validate.completeness)": [[64, "imgutils.validate.completeness.anime_completeness"]], "anime_completeness_score() (in module imgutils.validate.completeness)": [[64, "imgutils.validate.completeness.anime_completeness_score"]], "imgutils.validate.completeness": [[64, "module-imgutils.validate.completeness"]], "imgutils.validate": [[65, "module-imgutils.validate"]], "get_monochrome_score() (in module imgutils.validate.monochrome)": [[66, "imgutils.validate.monochrome.get_monochrome_score"]], "imgutils.validate.monochrome": [[66, "module-imgutils.validate.monochrome"]], "is_monochrome() (in module imgutils.validate.monochrome)": [[66, "imgutils.validate.monochrome.is_monochrome"]], "imgutils.validate.nsfw": [[67, "module-imgutils.validate.nsfw"]], "nsfw_pred() (in module imgutils.validate.nsfw)": [[67, "imgutils.validate.nsfw.nsfw_pred"]], "nsfw_pred_score() (in module imgutils.validate.nsfw)": [[67, "imgutils.validate.nsfw.nsfw_pred_score"]], "anime_portrait() (in module imgutils.validate.portrait)": [[68, "imgutils.validate.portrait.anime_portrait"]], "anime_portrait_score() (in module imgutils.validate.portrait)": [[68, 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imgutils.validate.style_age)": [[72, "imgutils.validate.style_age.anime_style_age"]], "anime_style_age_score() (in module imgutils.validate.style_age)": [[72, "imgutils.validate.style_age.anime_style_age_score"]], "imgutils.validate.style_age": [[72, "module-imgutils.validate.style_age"]], "anime_teen() (in module imgutils.validate.teen)": [[73, "imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": [[73, "imgutils.validate.teen.anime_teen_score"]], "imgutils.validate.teen": [[73, "module-imgutils.validate.teen"]], "imgutils.validate.truncate": [[74, "module-imgutils.validate.truncate"]], "is_truncated_file() (in module imgutils.validate.truncate)": [[74, "imgutils.validate.truncate.is_truncated_file"]]}})
\ No newline at end of file
diff --git a/v0.4.1/.buildinfo b/v0.4.1/.buildinfo
index 015562da7e6..63d98c2207c 100644
--- a/v0.4.1/.buildinfo
+++ b/v0.4.1/.buildinfo
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 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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diff --git a/v0.4.1/searchindex.js b/v0.4.1/searchindex.js
index a631992b933..001851d84d5 100644
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to imgutils\u2019s Documentation": [[75, "welcome-to-imgutils-s-documentation"]], "Overview": [[75, "overview"]], "Tutorials": [[75, null]], "Information": [[75, null]], "API Documentation": [[75, null]], "Run Environment Information": [[76, "Run-Environment-Information"], [77, "Run-Environment-Information"]], "Installation": [[78, "installation"]], "Quick Start": [[79, "quick-start"]]}, "indexentries": {"ascii_drawing() (in module imgutils.ascii.drawing)": [[0, "imgutils.ascii.drawing.ascii_drawing"]], "imgutils.ascii.drawing": [[0, "module-imgutils.ascii.drawing"]], "module": [[0, "module-imgutils.ascii.drawing"], [1, "module-imgutils.ascii"], [2, "module-imgutils.config"], [3, "module-imgutils.config.meta"], [4, "module-imgutils.data.background"], [5, "module-imgutils.data.decode"], [6, "module-imgutils.data.encode"], [7, "module-imgutils.data.image"], [8, "module-imgutils.data"], [9, "module-imgutils.data.layer"], [10, "module-imgutils.detect.censor"], [11, 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\ No newline at end of file
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to imgutils\u2019s Documentation": [[75, "welcome-to-imgutils-s-documentation"]], "Overview": [[75, "overview"]], "Tutorials": [[75, null]], "Information": [[75, null]], "API Documentation": [[75, null]], "Run Environment Information": [[76, "Run-Environment-Information"], [77, "Run-Environment-Information"]], "Installation": [[78, "installation"]], "Quick Start": [[79, "quick-start"]]}, "indexentries": {"ascii_drawing() (in module imgutils.ascii.drawing)": [[0, "imgutils.ascii.drawing.ascii_drawing"]], "imgutils.ascii.drawing": [[0, "module-imgutils.ascii.drawing"]], "module": [[0, "module-imgutils.ascii.drawing"], [1, "module-imgutils.ascii"], [2, "module-imgutils.config"], [3, "module-imgutils.config.meta"], [4, "module-imgutils.data.background"], [5, "module-imgutils.data.decode"], [6, "module-imgutils.data.encode"], [7, "module-imgutils.data.image"], [8, "module-imgutils.data"], [9, "module-imgutils.data.layer"], [10, "module-imgutils.detect.censor"], [11, 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imgutils.validate.style_age)": [[72, "imgutils.validate.style_age.anime_style_age"]], "anime_style_age_score() (in module imgutils.validate.style_age)": [[72, "imgutils.validate.style_age.anime_style_age_score"]], "imgutils.validate.style_age": [[72, "module-imgutils.validate.style_age"]], "anime_teen() (in module imgutils.validate.teen)": [[73, "imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": [[73, "imgutils.validate.teen.anime_teen_score"]], "imgutils.validate.teen": [[73, "module-imgutils.validate.teen"]], "imgutils.validate.truncate": [[74, "module-imgutils.validate.truncate"]], "is_truncated_file() (in module imgutils.validate.truncate)": [[74, "imgutils.validate.truncate.is_truncated_file"]]}})
\ No newline at end of file
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--- a/v0.4.10/.doctrees/nbsphinx/information/environment.ipynb
+++ b/v0.4.10/.doctrees/nbsphinx/information/environment.ipynb
@@ -29,10 +29,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-17T14:28:20.056135Z",
-     "iopub.status.busy": "2024-09-17T14:28:20.055939Z",
-     "iopub.status.idle": "2024-09-17T14:28:21.219975Z",
-     "shell.execute_reply": "2024-09-17T14:28:21.219217Z"
+     "iopub.execute_input": "2024-09-17T15:22:20.002389Z",
+     "iopub.status.busy": "2024-09-17T15:22:20.002168Z",
+     "iopub.status.idle": "2024-09-17T15:22:21.179528Z",
+     "shell.execute_reply": "2024-09-17T15:22:21.178721Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -43,7 +43,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "OS: Linux-6.8.0-1014-azure-x86_64-with-glibc2.34\n",
+      "OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34\n",
       "Python: CPython 3.8.18\n"
      ]
     },
@@ -53,8 +53,8 @@
      "text": [
       "CPU Brand: AMD EPYC 7763 64-Core Processor\n",
       "CPU Count: 4\n",
-      "CPU Freq: 3225.5035 MHz\n",
-      "Memory Size: 15.615 GiB\n",
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index 7438eea5266..291b2f47c45 100644
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"imgutils.metrics.psnr_": [[33, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[33, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[34, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[34, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[34, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[34, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[34, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[35, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[35, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.ColorCensor"]], 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"imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_EYE"]], "left_heel (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_HEEL"]], "left_hip (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_HIP"]], "left_knee (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_KNEE"]], "left_shoulder (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_SHOULDER"]], "left_small_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_SMALL_TOE"]], "left_wrist (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_WRIST"]], "neck (imgutils.pose.format.openpose18 attribute)": 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imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye 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module imgutils.validate.real)": [[81, "imgutils.validate.real.anime_real"]], "anime_real_score() (in module imgutils.validate.real)": [[81, "imgutils.validate.real.anime_real_score"]], "imgutils.validate.real": [[81, "module-imgutils.validate.real"]], "imgutils.validate.safe": [[82, "module-imgutils.validate.safe"]], "safe_check() (in module imgutils.validate.safe)": [[82, "imgutils.validate.safe.safe_check"]], "safe_check_score() (in module imgutils.validate.safe)": [[82, "imgutils.validate.safe.safe_check_score"]], "anime_style_age() (in module imgutils.validate.style_age)": [[83, "imgutils.validate.style_age.anime_style_age"]], "anime_style_age_score() (in module imgutils.validate.style_age)": [[83, "imgutils.validate.style_age.anime_style_age_score"]], "imgutils.validate.style_age": [[83, "module-imgutils.validate.style_age"]], "anime_teen() (in module imgutils.validate.teen)": [[84, "imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": [[84, "imgutils.validate.teen.anime_teen_score"]], "imgutils.validate.teen": [[84, "module-imgutils.validate.teen"]], "imgutils.validate.truncate": [[85, "module-imgutils.validate.truncate"]], "is_truncated_file() (in module imgutils.validate.truncate)": [[85, "imgutils.validate.truncate.is_truncated_file"]]}})
\ No newline at end of file
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"imgutils.metrics.psnr_": [[33, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[33, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[34, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[34, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[34, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[34, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[34, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[35, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[35, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.ColorCensor"]], 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imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye 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module imgutils.validate.real)": [[81, "imgutils.validate.real.anime_real"]], "anime_real_score() (in module imgutils.validate.real)": [[81, "imgutils.validate.real.anime_real_score"]], "imgutils.validate.real": [[81, "module-imgutils.validate.real"]], "imgutils.validate.safe": [[82, "module-imgutils.validate.safe"]], "safe_check() (in module imgutils.validate.safe)": [[82, "imgutils.validate.safe.safe_check"]], "safe_check_score() (in module imgutils.validate.safe)": [[82, "imgutils.validate.safe.safe_check_score"]], "anime_style_age() (in module imgutils.validate.style_age)": [[83, "imgutils.validate.style_age.anime_style_age"]], "anime_style_age_score() (in module imgutils.validate.style_age)": [[83, "imgutils.validate.style_age.anime_style_age_score"]], "imgutils.validate.style_age": [[83, "module-imgutils.validate.style_age"]], "anime_teen() (in module imgutils.validate.teen)": [[84, "imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": 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\ No newline at end of file
diff --git a/v0.4.11/.buildinfo b/v0.4.11/.buildinfo
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diff --git a/v0.4.11/information/environment.html b/v0.4.11/information/environment.html
index 536e83f2fe9..5decf42810c 100644
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 <div class="highlight"><pre>
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 CPU Count: 4
-CPU Freq: 3232.46325 MHz
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diff --git a/v0.4.11/information/environment.result.html b/v0.4.11/information/environment.result.html
index 10467e7dc78..539700f0adc 100644
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 <div class="highlight"><pre>
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 CPU Brand: AMD EPYC 7763 64-Core Processor
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diff --git a/v0.4.11/searchindex.js b/v0.4.11/searchindex.js
index dea78489678..57fcc43bfdc 100644
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"api_doc/operate/censor", "api_doc/operate/imgcensor", "api_doc/operate/index", "api_doc/operate/squeeze", "api_doc/pose/dwpose", "api_doc/pose/format", "api_doc/pose/index", "api_doc/pose/visual", "api_doc/resource/background", "api_doc/resource/index", "api_doc/restore/adversarial", "api_doc/restore/index", "api_doc/restore/nafnet", "api_doc/restore/scunet", "api_doc/sd/index", "api_doc/sd/metadata", "api_doc/sd/model", "api_doc/sd/nai", "api_doc/segment/index", "api_doc/segment/isnetis", "api_doc/tagging/blacklist", "api_doc/tagging/character", "api_doc/tagging/deepdanbooru", "api_doc/tagging/format", "api_doc/tagging/index", "api_doc/tagging/match", "api_doc/tagging/mldanbooru", "api_doc/tagging/order", "api_doc/tagging/overlap", "api_doc/tagging/wd14", "api_doc/upscale/cdc", "api_doc/upscale/index", "api_doc/utils/index", "api_doc/utils/onnxruntime", "api_doc/validate/aicheck", "api_doc/validate/bangumi_char", "api_doc/validate/classify", "api_doc/validate/color", "api_doc/validate/completeness", "api_doc/validate/dbrating", "api_doc/validate/index", "api_doc/validate/monochrome", "api_doc/validate/nsfw", "api_doc/validate/portrait", "api_doc/validate/rating", "api_doc/validate/real", "api_doc/validate/safe", "api_doc/validate/style_age", "api_doc/validate/teen", "api_doc/validate/truncate", "index", "information/environment", "information/environment.result", "tutorials/installation/index", "tutorials/quick_start/index"], "filenames": ["api_doc/ascii/drawing.rst", "api_doc/ascii/index.rst", "api_doc/config/index.rst", "api_doc/config/meta.rst", "api_doc/data/background.rst", "api_doc/data/decode.rst", "api_doc/data/encode.rst", "api_doc/data/image.rst", "api_doc/data/index.rst", "api_doc/data/layer.rst", "api_doc/detect/censor.rst", "api_doc/detect/eye.rst", "api_doc/detect/face.rst", "api_doc/detect/halfbody.rst", "api_doc/detect/hand.rst", "api_doc/detect/head.rst", "api_doc/detect/index.rst", "api_doc/detect/person.rst", "api_doc/detect/text.rst", "api_doc/detect/visual.rst", "api_doc/edge/canny.rst", "api_doc/edge/index.rst", "api_doc/edge/lineart.rst", "api_doc/edge/lineart_anime.rst", "api_doc/generic/classify.rst", "api_doc/generic/enhance.rst", "api_doc/generic/index.rst", "api_doc/metadata/geninfo.rst", "api_doc/metadata/index.rst", "api_doc/metadata/lsb.rst", "api_doc/metrics/aesthetic.rst", "api_doc/metrics/ccip.rst", "api_doc/metrics/dbaesthetic.rst", "api_doc/metrics/index.rst", "api_doc/metrics/laplacian.rst", "api_doc/metrics/lpips.rst", "api_doc/metrics/psnr_.rst", "api_doc/ocr/index.rst", "api_doc/operate/align.rst", "api_doc/operate/censor.rst", "api_doc/operate/imgcensor.rst", "api_doc/operate/index.rst", "api_doc/operate/squeeze.rst", "api_doc/pose/dwpose.rst", "api_doc/pose/format.rst", "api_doc/pose/index.rst", "api_doc/pose/visual.rst", "api_doc/resource/background.rst", "api_doc/resource/index.rst", "api_doc/restore/adversarial.rst", "api_doc/restore/index.rst", 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imgutils.metrics.ccip)": [[31, "imgutils.metrics.ccip.ccip_batch_same"]], "ccip_clustering() (in module imgutils.metrics.ccip)": [[31, "imgutils.metrics.ccip.ccip_clustering"]], "ccip_default_clustering_params() (in module imgutils.metrics.ccip)": [[31, "imgutils.metrics.ccip.ccip_default_clustering_params"]], "ccip_default_threshold() (in module imgutils.metrics.ccip)": [[31, "imgutils.metrics.ccip.ccip_default_threshold"]], "ccip_difference() (in module imgutils.metrics.ccip)": [[31, "imgutils.metrics.ccip.ccip_difference"]], "ccip_extract_feature() (in module imgutils.metrics.ccip)": [[31, "imgutils.metrics.ccip.ccip_extract_feature"]], "ccip_merge() (in module imgutils.metrics.ccip)": [[31, "imgutils.metrics.ccip.ccip_merge"]], "ccip_same() (in module imgutils.metrics.ccip)": [[31, "imgutils.metrics.ccip.ccip_same"]], "imgutils.metrics.ccip": [[31, "module-imgutils.metrics.ccip"]], "anime_dbaesthetic() (in module imgutils.metrics.dbaesthetic)": [[32, "imgutils.metrics.dbaesthetic.anime_dbaesthetic"]], "imgutils.metrics.dbaesthetic": [[32, "module-imgutils.metrics.dbaesthetic"]], "imgutils.metrics": [[33, "module-imgutils.metrics"]], "imgutils.metrics.laplacian": [[34, "module-imgutils.metrics.laplacian"]], "laplacian_score() (in module imgutils.metrics.laplacian)": [[34, "imgutils.metrics.laplacian.laplacian_score"]], "imgutils.metrics.lpips": [[35, "module-imgutils.metrics.lpips"]], "lpips_clustering() (in module imgutils.metrics.lpips)": [[35, "imgutils.metrics.lpips.lpips_clustering"]], "lpips_difference() (in module imgutils.metrics.lpips)": [[35, "imgutils.metrics.lpips.lpips_difference"]], "lpips_extract_feature() (in module imgutils.metrics.lpips)": [[35, "imgutils.metrics.lpips.lpips_extract_feature"]], "imgutils.metrics.psnr_": [[36, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[36, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[37, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[37, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[37, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[37, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[37, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[38, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[38, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[39, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[39, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[39, "imgutils.operate.censor_.ColorCensor"]], "pixelatecensor (class in imgutils.operate.censor_)": [[39, "imgutils.operate.censor_.PixelateCensor"]], "censor_area() (imgutils.operate.censor_.basecensor method)": [[39, "imgutils.operate.censor_.BaseCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.blurcensor method)": [[39, "imgutils.operate.censor_.BlurCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.colorcensor method)": [[39, "imgutils.operate.censor_.ColorCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.pixelatecensor method)": [[39, "imgutils.operate.censor_.PixelateCensor.censor_area"]], "censor_areas() (in module imgutils.operate.censor_)": [[39, "imgutils.operate.censor_.censor_areas"]], "censor_nsfw() (in module imgutils.operate.censor_)": [[39, "imgutils.operate.censor_.censor_nsfw"]], "imgutils.operate.censor_": [[39, "module-imgutils.operate.censor_"]], "register_censor_method() (in module imgutils.operate.censor_)": [[39, "imgutils.operate.censor_.register_censor_method"]], "emojibasedcensor (class in imgutils.operate.imgcensor)": [[40, "imgutils.operate.imgcensor.EmojiBasedCensor"]], "imagebasedcensor (class in imgutils.operate.imgcensor)": 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"imgutils.operate": [[41, "module-imgutils.operate"]], "imgutils.operate.squeeze": [[42, "module-imgutils.operate.squeeze"]], "squeeze() (in module imgutils.operate.squeeze)": [[42, "imgutils.operate.squeeze.squeeze"]], "squeeze_with_transparency() (in module imgutils.operate.squeeze)": [[42, "imgutils.operate.squeeze.squeeze_with_transparency"]], "dwpose_estimate() (in module imgutils.pose.dwpose)": [[43, "imgutils.pose.dwpose.dwpose_estimate"]], "imgutils.pose.dwpose": [[43, "module-imgutils.pose.dwpose"]], "left_ankle (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_ANKLE"]], "left_big_toe (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_BIG_TOE"]], "left_ear (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_EYE"]], "left_heel (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_HEEL"]], "left_hip (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_HIP"]], "left_knee (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_KNEE"]], "left_shoulder (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_SHOULDER"]], "left_small_toe (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_SMALL_TOE"]], "left_wrist (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_WRIST"]], "neck (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.NECK"]], "nose (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.NOSE"]], "op18keypointset (class in imgutils.pose.format)": [[44, "imgutils.pose.format.OP18KeyPointSet"]], "op18_body_max (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_BODY_MAX"]], "op18_body_min (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_BODY_MIN"]], "op18_face_max (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_FACE_MAX"]], "op18_face_min (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_FACE_MIN"]], "op18_left_foot_max (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_LEFT_FOOT_MAX"]], "op18_left_foot_min (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_LEFT_FOOT_MIN"]], "op18_left_hand_max (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_LEFT_HAND_MAX"]], "op18_left_hand_min (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_EYE"]], "right_heel (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_HEEL"]], "right_hip (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_HIP"]], "right_knee (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_KNEE"]], "right_shoulder (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_SHOULDER"]], "right_small_toe (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_SMALL_TOE"]], "right_wrist (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_WRIST"]], "__init__() (imgutils.pose.format.op18keypointset method)": [[44, "imgutils.pose.format.OP18KeyPointSet.__init__"]], "__mul__() (imgutils.pose.format.op18keypointset method)": [[44, "imgutils.pose.format.OP18KeyPointSet.__mul__"]], "__truediv__() (imgutils.pose.format.op18keypointset method)": [[44, "imgutils.pose.format.OP18KeyPointSet.__truediv__"]], "body (imgutils.pose.format.op18keypointset property)": [[44, "imgutils.pose.format.OP18KeyPointSet.body"]], "face (imgutils.pose.format.op18keypointset property)": [[44, "imgutils.pose.format.OP18KeyPointSet.face"]], "imgutils.pose.format": [[44, "module-imgutils.pose.format"]], "left_foot (imgutils.pose.format.op18keypointset property)": [[44, "imgutils.pose.format.OP18KeyPointSet.left_foot"]], "left_hand (imgutils.pose.format.op18keypointset property)": [[44, "imgutils.pose.format.OP18KeyPointSet.left_hand"]], "right_foot (imgutils.pose.format.op18keypointset property)": [[44, "imgutils.pose.format.OP18KeyPointSet.right_foot"]], "right_hand (imgutils.pose.format.op18keypointset property)": [[44, "imgutils.pose.format.OP18KeyPointSet.right_hand"]], "imgutils.pose": [[45, "module-imgutils.pose"]], "imgutils.pose.visual": [[46, "module-imgutils.pose.visual"]], "op18_visualize() (in module imgutils.pose.visual)": [[46, "imgutils.pose.visual.op18_visualize"]], "backgroundimageset (class in imgutils.resource.background)": [[47, "imgutils.resource.background.BackgroundImageSet"]], "__init__() (imgutils.resource.background.backgroundimageset method)": [[47, "imgutils.resource.background.BackgroundImageSet.__init__"]], "get_bg_image() (in module imgutils.resource.background)": [[47, "imgutils.resource.background.get_bg_image"]], "get_bg_image_file() (in module imgutils.resource.background)": [[47, "imgutils.resource.background.get_bg_image_file"]], "get_image() (imgutils.resource.background.backgroundimageset method)": [[47, "imgutils.resource.background.BackgroundImageSet.get_image"]], "get_image_file() (imgutils.resource.background.backgroundimageset method)": [[47, "imgutils.resource.background.BackgroundImageSet.get_image_file"]], "imgutils.resource.background": [[47, "module-imgutils.resource.background"]], "list_bg_image_files() (in module imgutils.resource.background)": [[47, "imgutils.resource.background.list_bg_image_files"]], "list_image_files() (imgutils.resource.background.backgroundimageset method)": [[47, "imgutils.resource.background.BackgroundImageSet.list_image_files"]], "random_bg_image() (in module imgutils.resource.background)": [[47, "imgutils.resource.background.random_bg_image"]], "random_bg_image_file() (in module imgutils.resource.background)": [[47, "imgutils.resource.background.random_bg_image_file"]], "random_image() (imgutils.resource.background.backgroundimageset method)": [[47, "imgutils.resource.background.BackgroundImageSet.random_image"]], "random_image_file() (imgutils.resource.background.backgroundimageset method)": [[47, "imgutils.resource.background.BackgroundImageSet.random_image_file"]], "imgutils.resource": [[48, "module-imgutils.resource"]], "imgutils.restore.adversarial": [[49, "module-imgutils.restore.adversarial"]], "remove_adversarial_noise() (in module imgutils.restore.adversarial)": [[49, "imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[50, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[51, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module imgutils.restore.nafnet)": [[51, "imgutils.restore.nafnet.restore_with_nafnet"]], "imgutils.restore.scunet": [[52, "module-imgutils.restore.scunet"]], "restore_with_scunet() (in module imgutils.restore.scunet)": [[52, "imgutils.restore.scunet.restore_with_scunet"]], "imgutils.sd": [[53, "module-imgutils.sd"]], "sdmetadata (class in imgutils.sd.metadata)": [[54, "imgutils.sd.metadata.SDMetaData"]], "__str__() (imgutils.sd.metadata.sdmetadata method)": [[54, "imgutils.sd.metadata.SDMetaData.__str__"]], "get_sdmeta_from_image() (in module imgutils.sd.metadata)": [[54, "imgutils.sd.metadata.get_sdmeta_from_image"]], "imgutils.sd.metadata": [[54, "module-imgutils.sd.metadata"]], "parse_sdmeta_from_text() (in module imgutils.sd.metadata)": [[54, "imgutils.sd.metadata.parse_sdmeta_from_text"]], "pnginfo (imgutils.sd.metadata.sdmetadata property)": [[54, "imgutils.sd.metadata.SDMetaData.pnginfo"]], "save_image_with_sdmeta() (in module imgutils.sd.metadata)": [[54, "imgutils.sd.metadata.save_image_with_sdmeta"]], "text (imgutils.sd.metadata.sdmetadata property)": [[54, "imgutils.sd.metadata.SDMetaData.text"]], "imgutils.sd.model": [[55, "module-imgutils.sd.model"]], "read_metadata() (in module imgutils.sd.model)": [[55, "imgutils.sd.model.read_metadata"]], "save_with_metadata() (in module imgutils.sd.model)": [[55, "imgutils.sd.model.save_with_metadata"]], "naimetadata (class in imgutils.sd.nai)": [[56, "imgutils.sd.nai.NAIMetaData"], [56, "imgutils.sd.nai.NAIMetadata"]], "__init__() (imgutils.sd.nai.naimetadata method)": [[56, "imgutils.sd.nai.NAIMetaData.__init__"]], "add_naimeta_to_image() (in module imgutils.sd.nai)": [[56, "imgutils.sd.nai.add_naimeta_to_image"]], "get_naimeta_from_image() (in module imgutils.sd.nai)": [[56, "imgutils.sd.nai.get_naimeta_from_image"]], "imgutils.sd.nai": [[56, "module-imgutils.sd.nai"]], "pnginfo (imgutils.sd.nai.naimetadata property)": [[56, "imgutils.sd.nai.NAIMetaData.pnginfo"]], "save_image_with_naimeta() (in module imgutils.sd.nai)": [[56, "imgutils.sd.nai.save_image_with_naimeta"]], "imgutils.segment": [[57, "module-imgutils.segment"]], "get_isnetis_mask() (in module imgutils.segment.isnetis)": [[58, "imgutils.segment.isnetis.get_isnetis_mask"]], "imgutils.segment.isnetis": [[58, "module-imgutils.segment.isnetis"]], "segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[58, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[58, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[59, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[59, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[59, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[60, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[60, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[60, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[60, "imgutils.tagging.character.CHAR_WHITELIST_SUFFIX"]], "char_whitelist_word (in module imgutils.tagging.character)": [[60, "imgutils.tagging.character.CHAR_WHITELIST_WORD"]], "charactertagpool (class in imgutils.tagging.character)": [[60, "imgutils.tagging.character.CharacterTagPool"]], "__init__() (imgutils.tagging.character.charactertagpool method)": [[60, "imgutils.tagging.character.CharacterTagPool.__init__"]], "drop_basic_character_tags() (imgutils.tagging.character.charactertagpool method)": [[60, "imgutils.tagging.character.CharacterTagPool.drop_basic_character_tags"]], "drop_basic_character_tags() (in module imgutils.tagging.character)": [[60, "imgutils.tagging.character.drop_basic_character_tags"]], "imgutils.tagging.character": [[60, "module-imgutils.tagging.character"]], "is_basic_character_tag() (imgutils.tagging.character.charactertagpool method)": [[60, "imgutils.tagging.character.CharacterTagPool.is_basic_character_tag"]], "is_basic_character_tag() (in module imgutils.tagging.character)": [[60, "imgutils.tagging.character.is_basic_character_tag"]], "get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[61, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[61, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[62, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[62, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[62, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module imgutils.tagging.format)": [[62, "imgutils.tagging.format.tags_to_text"]], "imgutils.tagging": [[63, "module-imgutils.tagging"]], "imgutils.tagging.match": [[64, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[64, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[64, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[64, "imgutils.tagging.match.tag_match_suffix"]], "get_mldanbooru_tags() (in module imgutils.tagging.mldanbooru)": [[65, "imgutils.tagging.mldanbooru.get_mldanbooru_tags"]], "imgutils.tagging.mldanbooru": [[65, "module-imgutils.tagging.mldanbooru"]], "imgutils.tagging.order": [[66, "module-imgutils.tagging.order"]], "sort_tags() (in module imgutils.tagging.order)": [[66, "imgutils.tagging.order.sort_tags"]], "drop_overlap_tags() (in module imgutils.tagging.overlap)": [[67, "imgutils.tagging.overlap.drop_overlap_tags"]], "imgutils.tagging.overlap": [[67, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module imgutils.tagging.wd14)": [[68, "imgutils.tagging.wd14.get_wd14_tags"]], "imgutils.tagging.wd14": [[68, "module-imgutils.tagging.wd14"]], "imgutils.upscale.cdc": [[69, "module-imgutils.upscale.cdc"]], "upscale_with_cdc() (in module imgutils.upscale.cdc)": [[69, "imgutils.upscale.cdc.upscale_with_cdc"]], "imgutils.upscale": [[70, "module-imgutils.upscale"]], "imgutils.utils": [[71, "module-imgutils.utils"]], "get_onnx_provider() (in module imgutils.utils.onnxruntime)": [[72, "imgutils.utils.onnxruntime.get_onnx_provider"]], "imgutils.utils.onnxruntime": [[72, "module-imgutils.utils.onnxruntime"]], "open_onnx_model() (in module imgutils.utils.onnxruntime)": [[72, "imgutils.utils.onnxruntime.open_onnx_model"]], "get_ai_created_score() (in module imgutils.validate.aicheck)": [[73, "imgutils.validate.aicheck.get_ai_created_score"]], "imgutils.validate.aicheck": [[73, "module-imgutils.validate.aicheck"]], "is_ai_created() (in module imgutils.validate.aicheck)": [[73, "imgutils.validate.aicheck.is_ai_created"]], "anime_bangumi_char() (in module imgutils.validate.bangumi_char)": [[74, "imgutils.validate.bangumi_char.anime_bangumi_char"]], "anime_bangumi_char_score() (in module imgutils.validate.bangumi_char)": [[74, "imgutils.validate.bangumi_char.anime_bangumi_char_score"]], "imgutils.validate.bangumi_char": [[74, "module-imgutils.validate.bangumi_char"]], "anime_classify() (in module imgutils.validate.classify)": [[75, "imgutils.validate.classify.anime_classify"]], "anime_classify_score() (in module imgutils.validate.classify)": [[75, "imgutils.validate.classify.anime_classify_score"]], "imgutils.validate.classify": [[75, "module-imgutils.validate.classify"]], "imgutils.validate.color": [[76, "module-imgutils.validate.color"]], "is_greyscale() (in module imgutils.validate.color)": [[76, 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\ No newline at end of file
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"imgutils.metrics.dbaesthetic.anime_dbaesthetic"]], "imgutils.metrics.dbaesthetic": [[32, "module-imgutils.metrics.dbaesthetic"]], "imgutils.metrics": [[33, "module-imgutils.metrics"]], "imgutils.metrics.laplacian": [[34, "module-imgutils.metrics.laplacian"]], "laplacian_score() (in module imgutils.metrics.laplacian)": [[34, "imgutils.metrics.laplacian.laplacian_score"]], "imgutils.metrics.lpips": [[35, "module-imgutils.metrics.lpips"]], "lpips_clustering() (in module imgutils.metrics.lpips)": [[35, "imgutils.metrics.lpips.lpips_clustering"]], "lpips_difference() (in module imgutils.metrics.lpips)": [[35, "imgutils.metrics.lpips.lpips_difference"]], "lpips_extract_feature() (in module imgutils.metrics.lpips)": [[35, "imgutils.metrics.lpips.lpips_extract_feature"]], "imgutils.metrics.psnr_": [[36, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[36, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[37, 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"imgutils.operate.censor_.BaseCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.blurcensor method)": [[39, "imgutils.operate.censor_.BlurCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.colorcensor method)": [[39, "imgutils.operate.censor_.ColorCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.pixelatecensor method)": [[39, "imgutils.operate.censor_.PixelateCensor.censor_area"]], "censor_areas() (in module imgutils.operate.censor_)": [[39, "imgutils.operate.censor_.censor_areas"]], "censor_nsfw() (in module imgutils.operate.censor_)": [[39, "imgutils.operate.censor_.censor_nsfw"]], "imgutils.operate.censor_": [[39, "module-imgutils.operate.censor_"]], "register_censor_method() (in module imgutils.operate.censor_)": [[39, "imgutils.operate.censor_.register_censor_method"]], "emojibasedcensor (class in imgutils.operate.imgcensor)": [[40, "imgutils.operate.imgcensor.EmojiBasedCensor"]], "imagebasedcensor (class in imgutils.operate.imgcensor)": 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"imgutils.operate": [[41, "module-imgutils.operate"]], "imgutils.operate.squeeze": [[42, "module-imgutils.operate.squeeze"]], "squeeze() (in module imgutils.operate.squeeze)": [[42, "imgutils.operate.squeeze.squeeze"]], "squeeze_with_transparency() (in module imgutils.operate.squeeze)": [[42, "imgutils.operate.squeeze.squeeze_with_transparency"]], "dwpose_estimate() (in module imgutils.pose.dwpose)": [[43, "imgutils.pose.dwpose.dwpose_estimate"]], "imgutils.pose.dwpose": [[43, "module-imgutils.pose.dwpose"]], "left_ankle (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_ANKLE"]], "left_big_toe (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_BIG_TOE"]], "left_ear (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye 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"op18_right_foot_min (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[44, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye (imgutils.pose.format.openpose18 attribute)": [[44, "imgutils.pose.format.OpenPose18.RIGHT_EYE"]], "right_heel (imgutils.pose.format.openpose18 attribute)": [[44, 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\ No newline at end of file
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+++ b/v0.4.2/.buildinfo
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 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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index 2d648ed5c8a..fa4c35217e5 100644
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-      "CPU Freq: 2935.1895 MHz\n",
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diff --git a/v0.4.2/information/environment.html b/v0.4.2/information/environment.html
index e8c38954e64..9ca37a54501 100644
--- a/v0.4.2/information/environment.html
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 <div class="output_area docutils container">
 <div class="highlight"><pre>
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 CPU Brand: AMD EPYC 7763 64-Core Processor
 CPU Count: 4
-CPU Freq: 3231.6305 MHz
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diff --git a/v0.4.2/information/environment.result.html b/v0.4.2/information/environment.result.html
index abfdfb25c59..da1944d749d 100644
--- a/v0.4.2/information/environment.result.html
+++ b/v0.4.2/information/environment.result.html
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 <div class="highlight"><pre>
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 CPU Brand: AMD EPYC 7763 64-Core Processor
 CPU Count: 4
-CPU Freq: 2935.1895 MHz
-Memory Size: 15.615 GiB
+CPU Freq: 2915.30075 MHz
+Memory Size: 15.606 GiB
 Has CUDA: No
 </pre></div></div>
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index 2d648ed5c8a..fa4c35217e5 100644
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index 40d52cc055f..700c4c27fb5 100644
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\ No newline at end of file
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[[37, "imgutils.pose.format.OP18_FACE_MAX"]], "op18_face_min (in module imgutils.pose.format)": [[37, "imgutils.pose.format.OP18_FACE_MIN"]], "op18_left_foot_max (in module imgutils.pose.format)": [[37, "imgutils.pose.format.OP18_LEFT_FOOT_MAX"]], "op18_left_foot_min (in module imgutils.pose.format)": [[37, "imgutils.pose.format.OP18_LEFT_FOOT_MIN"]], "op18_left_hand_max (in module imgutils.pose.format)": [[37, "imgutils.pose.format.OP18_LEFT_HAND_MAX"]], "op18_left_hand_min (in module imgutils.pose.format)": [[37, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[37, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[37, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[37, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[37, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], 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"imgutils.pose.format.OP18KeyPointSet.left_foot"]], "left_hand (imgutils.pose.format.op18keypointset property)": [[37, "imgutils.pose.format.OP18KeyPointSet.left_hand"]], "right_foot (imgutils.pose.format.op18keypointset property)": [[37, "imgutils.pose.format.OP18KeyPointSet.right_foot"]], "right_hand (imgutils.pose.format.op18keypointset property)": [[37, "imgutils.pose.format.OP18KeyPointSet.right_hand"]], "imgutils.pose": [[38, "module-imgutils.pose"]], "imgutils.pose.visual": [[39, "module-imgutils.pose.visual"]], "op18_visualize() (in module imgutils.pose.visual)": [[39, "imgutils.pose.visual.op18_visualize"]], "imgutils.restore.adversarial": [[40, "module-imgutils.restore.adversarial"]], "remove_adversarial_noise() (in module imgutils.restore.adversarial)": [[40, "imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[41, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[42, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module 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imgutils.sd.model)": [[46, "imgutils.sd.model.read_metadata"]], "save_with_metadata() (in module imgutils.sd.model)": [[46, "imgutils.sd.model.save_with_metadata"]], "imgutils.segment": [[47, "module-imgutils.segment"]], "get_isnetis_mask() (in module imgutils.segment.isnetis)": [[48, "imgutils.segment.isnetis.get_isnetis_mask"]], "imgutils.segment.isnetis": [[48, "module-imgutils.segment.isnetis"]], "segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[48, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[48, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[49, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[49, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[49, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[50, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[50, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[50, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[50, "imgutils.tagging.character.CHAR_WHITELIST_SUFFIX"]], "char_whitelist_word (in module imgutils.tagging.character)": [[50, "imgutils.tagging.character.CHAR_WHITELIST_WORD"]], "charactertagpool (class in imgutils.tagging.character)": [[50, "imgutils.tagging.character.CharacterTagPool"]], "__init__() (imgutils.tagging.character.charactertagpool method)": [[50, "imgutils.tagging.character.CharacterTagPool.__init__"]], "drop_basic_character_tags() (imgutils.tagging.character.charactertagpool method)": [[50, "imgutils.tagging.character.CharacterTagPool.drop_basic_character_tags"]], "drop_basic_character_tags() (in module imgutils.tagging.character)": [[50, "imgutils.tagging.character.drop_basic_character_tags"]], "imgutils.tagging.character": [[50, "module-imgutils.tagging.character"]], "is_basic_character_tag() (imgutils.tagging.character.charactertagpool method)": [[50, "imgutils.tagging.character.CharacterTagPool.is_basic_character_tag"]], "is_basic_character_tag() (in module imgutils.tagging.character)": [[50, "imgutils.tagging.character.is_basic_character_tag"]], "get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[51, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[51, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[52, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[52, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[52, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module 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"imgutils.tagging.overlap": [[57, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module imgutils.tagging.wd14)": [[58, "imgutils.tagging.wd14.get_wd14_tags"]], "imgutils.tagging.wd14": [[58, "module-imgutils.tagging.wd14"]], "imgutils.utils": [[59, "module-imgutils.utils"]], "get_onnx_provider() (in module imgutils.utils.onnxruntime)": [[60, "imgutils.utils.onnxruntime.get_onnx_provider"]], "imgutils.utils.onnxruntime": [[60, "module-imgutils.utils.onnxruntime"]], "open_onnx_model() (in module imgutils.utils.onnxruntime)": [[60, "imgutils.utils.onnxruntime.open_onnx_model"]], "get_ai_created_score() (in module imgutils.validate.aicheck)": [[61, "imgutils.validate.aicheck.get_ai_created_score"]], "imgutils.validate.aicheck": [[61, "module-imgutils.validate.aicheck"]], "is_ai_created() (in module imgutils.validate.aicheck)": [[61, "imgutils.validate.aicheck.is_ai_created"]], "anime_bangumi_char() (in module imgutils.validate.bangumi_char)": [[62, 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\ No newline at end of file
diff --git a/v0.4.3/.buildinfo b/v0.4.3/.buildinfo
index cff0be9d5dc..b5fd18b46b9 100644
--- a/v0.4.3/.buildinfo
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index 7bbf4fcdc76..2eb606f2ce8 100644
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index 25ab5d67a4c..7a47dcf4326 100644
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index a2a410c8535..17f58a7d03c 100644
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diff --git a/v0.4.3/searchindex.js b/v0.4.3/searchindex.js
index 0835a3310ca..3d4ce49970a 100644
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"api_doc/pose/index", "api_doc/pose/visual", "api_doc/resource/background", "api_doc/resource/index", "api_doc/restore/adversarial", "api_doc/restore/index", "api_doc/restore/nafnet", "api_doc/restore/scunet", "api_doc/sd/index", "api_doc/sd/metadata", "api_doc/sd/model", "api_doc/segment/index", "api_doc/segment/isnetis", "api_doc/tagging/blacklist", "api_doc/tagging/character", "api_doc/tagging/deepdanbooru", "api_doc/tagging/format", "api_doc/tagging/index", "api_doc/tagging/match", "api_doc/tagging/mldanbooru", "api_doc/tagging/order", "api_doc/tagging/overlap", "api_doc/tagging/wd14", "api_doc/utils/index", "api_doc/utils/onnxruntime", "api_doc/validate/aicheck", "api_doc/validate/bangumi_char", "api_doc/validate/classify", "api_doc/validate/color", "api_doc/validate/completeness", "api_doc/validate/dbrating", "api_doc/validate/index", "api_doc/validate/monochrome", "api_doc/validate/nsfw", "api_doc/validate/portrait", "api_doc/validate/rating", "api_doc/validate/real", 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"api_doc/metrics/dbaesthetic.rst", "api_doc/metrics/index.rst", "api_doc/metrics/laplacian.rst", "api_doc/metrics/lpips.rst", "api_doc/metrics/psnr_.rst", "api_doc/ocr/index.rst", "api_doc/operate/align.rst", "api_doc/operate/censor.rst", "api_doc/operate/imgcensor.rst", "api_doc/operate/index.rst", "api_doc/operate/squeeze.rst", "api_doc/pose/dwpose.rst", "api_doc/pose/format.rst", "api_doc/pose/index.rst", "api_doc/pose/visual.rst", "api_doc/resource/background.rst", "api_doc/resource/index.rst", "api_doc/restore/adversarial.rst", "api_doc/restore/index.rst", "api_doc/restore/nafnet.rst", "api_doc/restore/scunet.rst", "api_doc/sd/index.rst", "api_doc/sd/metadata.rst", "api_doc/sd/model.rst", "api_doc/segment/index.rst", "api_doc/segment/isnetis.rst", "api_doc/tagging/blacklist.rst", "api_doc/tagging/character.rst", "api_doc/tagging/deepdanbooru.rst", "api_doc/tagging/format.rst", "api_doc/tagging/index.rst", "api_doc/tagging/match.rst", "api_doc/tagging/mldanbooru.rst", 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"imgutils.edge.canny": [[20, "module-imgutils.edge.canny"]], "imgutils.edge": [[21, "module-imgutils.edge"]], "edge_image_with_lineart() (in module imgutils.edge.lineart)": [[22, "imgutils.edge.lineart.edge_image_with_lineart"]], "get_edge_by_lineart() (in module imgutils.edge.lineart)": [[22, "imgutils.edge.lineart.get_edge_by_lineart"]], "imgutils.edge.lineart": [[22, "module-imgutils.edge.lineart"]], "edge_image_with_lineart_anime() (in module imgutils.edge.lineart_anime)": [[23, "imgutils.edge.lineart_anime.edge_image_with_lineart_anime"]], "get_edge_by_lineart_anime() (in module imgutils.edge.lineart_anime)": [[23, "imgutils.edge.lineart_anime.get_edge_by_lineart_anime"]], "imgutils.edge.lineart_anime": [[23, "module-imgutils.edge.lineart_anime"]], "get_aesthetic_score() (in module imgutils.metrics.aesthetic)": [[24, "imgutils.metrics.aesthetic.get_aesthetic_score"]], "imgutils.metrics.aesthetic": [[24, "module-imgutils.metrics.aesthetic"]], "ccip_batch_differences() (in module 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module imgutils.metrics.ccip)": [[25, "imgutils.metrics.ccip.ccip_same"]], "imgutils.metrics.ccip": [[25, "module-imgutils.metrics.ccip"]], "anime_dbaesthetic() (in module imgutils.metrics.dbaesthetic)": [[26, "imgutils.metrics.dbaesthetic.anime_dbaesthetic"]], "imgutils.metrics.dbaesthetic": [[26, "module-imgutils.metrics.dbaesthetic"]], "imgutils.metrics": [[27, "module-imgutils.metrics"]], "imgutils.metrics.laplacian": [[28, "module-imgutils.metrics.laplacian"]], "laplacian_score() (in module imgutils.metrics.laplacian)": [[28, "imgutils.metrics.laplacian.laplacian_score"]], "imgutils.metrics.lpips": [[29, "module-imgutils.metrics.lpips"]], "lpips_clustering() (in module imgutils.metrics.lpips)": [[29, "imgutils.metrics.lpips.lpips_clustering"]], "lpips_difference() (in module imgutils.metrics.lpips)": [[29, "imgutils.metrics.lpips.lpips_difference"]], "lpips_extract_feature() (in module imgutils.metrics.lpips)": [[29, "imgutils.metrics.lpips.lpips_extract_feature"]], "imgutils.metrics.psnr_": [[30, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[30, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[31, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[31, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[31, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[31, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[31, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[32, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[32, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[33, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[33, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[33, "imgutils.operate.censor_.ColorCensor"]], "pixelatecensor (class in imgutils.operate.censor_)": [[33, "imgutils.operate.censor_.PixelateCensor"]], "censor_area() (imgutils.operate.censor_.basecensor method)": [[33, "imgutils.operate.censor_.BaseCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.blurcensor method)": [[33, "imgutils.operate.censor_.BlurCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.colorcensor method)": [[33, "imgutils.operate.censor_.ColorCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.pixelatecensor method)": [[33, "imgutils.operate.censor_.PixelateCensor.censor_area"]], "censor_areas() (in module imgutils.operate.censor_)": [[33, "imgutils.operate.censor_.censor_areas"]], "censor_nsfw() (in module imgutils.operate.censor_)": [[33, "imgutils.operate.censor_.censor_nsfw"]], "imgutils.operate.censor_": [[33, "module-imgutils.operate.censor_"]], "register_censor_method() (in module imgutils.operate.censor_)": [[33, "imgutils.operate.censor_.register_censor_method"]], "emojibasedcensor (class in imgutils.operate.imgcensor)": [[34, "imgutils.operate.imgcensor.EmojiBasedCensor"]], "imagebasedcensor (class in imgutils.operate.imgcensor)": [[34, "imgutils.operate.imgcensor.ImageBasedCensor"]], "singleimage (class in imgutils.operate.imgcensor)": [[34, "imgutils.operate.imgcensor.SingleImage"]], "__init__() (imgutils.operate.imgcensor.singleimage method)": [[34, "imgutils.operate.imgcensor.SingleImage.__init__"]], "censor_area() (imgutils.operate.imgcensor.emojibasedcensor method)": [[34, "imgutils.operate.imgcensor.EmojiBasedCensor.censor_area"]], "censor_area() (imgutils.operate.imgcensor.imagebasedcensor method)": [[34, "imgutils.operate.imgcensor.ImageBasedCensor.censor_area"]], "find_for_area() (imgutils.operate.imgcensor.singleimage method)": [[34, "imgutils.operate.imgcensor.SingleImage.find_for_area"]], "height (imgutils.operate.imgcensor.singleimage property)": [[34, "imgutils.operate.imgcensor.SingleImage.height"]], "imgutils.operate.imgcensor": [[34, "module-imgutils.operate.imgcensor"]], "width (imgutils.operate.imgcensor.singleimage property)": [[34, "imgutils.operate.imgcensor.SingleImage.width"]], "imgutils.operate": [[35, "module-imgutils.operate"]], "imgutils.operate.squeeze": [[36, "module-imgutils.operate.squeeze"]], "squeeze() (in module imgutils.operate.squeeze)": [[36, "imgutils.operate.squeeze.squeeze"]], "squeeze_with_transparency() (in module imgutils.operate.squeeze)": [[36, "imgutils.operate.squeeze.squeeze_with_transparency"]], "dwpose_estimate() (in module imgutils.pose.dwpose)": [[37, "imgutils.pose.dwpose.dwpose_estimate"]], "imgutils.pose.dwpose": [[37, "module-imgutils.pose.dwpose"]], "left_ankle (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_ANKLE"]], "left_big_toe (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_BIG_TOE"]], "left_ear (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_EYE"]], "left_heel (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_HEEL"]], "left_hip (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_HIP"]], "left_knee (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_KNEE"]], "left_shoulder (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_SHOULDER"]], "left_small_toe (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_SMALL_TOE"]], "left_wrist (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.LEFT_WRIST"]], "neck (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.NECK"]], "nose (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.NOSE"]], "op18keypointset (class in imgutils.pose.format)": [[38, "imgutils.pose.format.OP18KeyPointSet"]], "op18_body_max (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_BODY_MAX"]], "op18_body_min (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_BODY_MIN"]], "op18_face_max (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_FACE_MAX"]], "op18_face_min (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_FACE_MIN"]], "op18_left_foot_max (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_LEFT_FOOT_MAX"]], "op18_left_foot_min (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_LEFT_FOOT_MIN"]], "op18_left_hand_max (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_LEFT_HAND_MAX"]], "op18_left_hand_min (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[38, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[38, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye 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"imgutils.pose.visual": [[40, "module-imgutils.pose.visual"]], "op18_visualize() (in module imgutils.pose.visual)": [[40, "imgutils.pose.visual.op18_visualize"]], "backgroundimageset (class in imgutils.resource.background)": [[41, "imgutils.resource.background.BackgroundImageSet"]], "__init__() (imgutils.resource.background.backgroundimageset method)": [[41, "imgutils.resource.background.BackgroundImageSet.__init__"]], "get_bg_image() (in module imgutils.resource.background)": [[41, "imgutils.resource.background.get_bg_image"]], "get_bg_image_file() (in module imgutils.resource.background)": [[41, "imgutils.resource.background.get_bg_image_file"]], "get_image() (imgutils.resource.background.backgroundimageset method)": [[41, "imgutils.resource.background.BackgroundImageSet.get_image"]], "get_image_file() (imgutils.resource.background.backgroundimageset method)": [[41, "imgutils.resource.background.BackgroundImageSet.get_image_file"]], "imgutils.resource.background": [[41, "module-imgutils.resource.background"]], "list_bg_image_files() (in module imgutils.resource.background)": [[41, "imgutils.resource.background.list_bg_image_files"]], "list_image_files() (imgutils.resource.background.backgroundimageset method)": [[41, "imgutils.resource.background.BackgroundImageSet.list_image_files"]], "random_bg_image() (in module imgutils.resource.background)": [[41, "imgutils.resource.background.random_bg_image"]], "random_bg_image_file() (in module imgutils.resource.background)": [[41, "imgutils.resource.background.random_bg_image_file"]], "random_image() (imgutils.resource.background.backgroundimageset method)": [[41, "imgutils.resource.background.BackgroundImageSet.random_image"]], "random_image_file() (imgutils.resource.background.backgroundimageset method)": [[41, "imgutils.resource.background.BackgroundImageSet.random_image_file"]], "imgutils.resource": [[42, "module-imgutils.resource"]], "imgutils.restore.adversarial": [[43, "module-imgutils.restore.adversarial"]], "remove_adversarial_noise() (in module imgutils.restore.adversarial)": [[43, "imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[44, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[45, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module imgutils.restore.nafnet)": [[45, "imgutils.restore.nafnet.restore_with_nafnet"]], "imgutils.restore.scunet": [[46, "module-imgutils.restore.scunet"]], "restore_with_scunet() (in module imgutils.restore.scunet)": [[46, "imgutils.restore.scunet.restore_with_scunet"]], "imgutils.sd": [[47, "module-imgutils.sd"]], "sdmetadata (class in imgutils.sd.metadata)": [[48, "imgutils.sd.metadata.SDMetaData"]], "__str__() (imgutils.sd.metadata.sdmetadata method)": [[48, "imgutils.sd.metadata.SDMetaData.__str__"]], "get_sdmeta_from_image() (in module imgutils.sd.metadata)": [[48, "imgutils.sd.metadata.get_sdmeta_from_image"]], "imgutils.sd.metadata": [[48, "module-imgutils.sd.metadata"]], "parse_sdmeta_from_text() (in module imgutils.sd.metadata)": [[48, "imgutils.sd.metadata.parse_sdmeta_from_text"]], "pnginfo (imgutils.sd.metadata.sdmetadata property)": [[48, "imgutils.sd.metadata.SDMetaData.pnginfo"]], "imgutils.sd.model": [[49, "module-imgutils.sd.model"]], "read_metadata() (in module imgutils.sd.model)": [[49, "imgutils.sd.model.read_metadata"]], "save_with_metadata() (in module imgutils.sd.model)": [[49, "imgutils.sd.model.save_with_metadata"]], "imgutils.segment": [[50, "module-imgutils.segment"]], "get_isnetis_mask() (in module imgutils.segment.isnetis)": [[51, "imgutils.segment.isnetis.get_isnetis_mask"]], "imgutils.segment.isnetis": [[51, "module-imgutils.segment.isnetis"]], "segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[51, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[51, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[52, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[52, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[52, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[53, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[53, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[53, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[53, "imgutils.tagging.character.CHAR_WHITELIST_SUFFIX"]], "char_whitelist_word (in module imgutils.tagging.character)": [[53, "imgutils.tagging.character.CHAR_WHITELIST_WORD"]], "charactertagpool (class in imgutils.tagging.character)": [[53, "imgutils.tagging.character.CharacterTagPool"]], "__init__() (imgutils.tagging.character.charactertagpool method)": [[53, "imgutils.tagging.character.CharacterTagPool.__init__"]], "drop_basic_character_tags() (imgutils.tagging.character.charactertagpool method)": [[53, "imgutils.tagging.character.CharacterTagPool.drop_basic_character_tags"]], "drop_basic_character_tags() (in module imgutils.tagging.character)": [[53, "imgutils.tagging.character.drop_basic_character_tags"]], "imgutils.tagging.character": [[53, "module-imgutils.tagging.character"]], "is_basic_character_tag() (imgutils.tagging.character.charactertagpool method)": [[53, "imgutils.tagging.character.CharacterTagPool.is_basic_character_tag"]], "is_basic_character_tag() (in module imgutils.tagging.character)": [[53, "imgutils.tagging.character.is_basic_character_tag"]], "get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[54, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[54, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[55, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[55, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[55, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module imgutils.tagging.format)": [[55, "imgutils.tagging.format.tags_to_text"]], "imgutils.tagging": [[56, "module-imgutils.tagging"]], "imgutils.tagging.match": [[57, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[57, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[57, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[57, "imgutils.tagging.match.tag_match_suffix"]], "get_mldanbooru_tags() (in module imgutils.tagging.mldanbooru)": [[58, "imgutils.tagging.mldanbooru.get_mldanbooru_tags"]], "imgutils.tagging.mldanbooru": [[58, "module-imgutils.tagging.mldanbooru"]], "imgutils.tagging.order": [[59, "module-imgutils.tagging.order"]], "sort_tags() (in module imgutils.tagging.order)": [[59, "imgutils.tagging.order.sort_tags"]], "drop_overlap_tags() (in module imgutils.tagging.overlap)": [[60, "imgutils.tagging.overlap.drop_overlap_tags"]], "imgutils.tagging.overlap": [[60, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module imgutils.tagging.wd14)": [[61, "imgutils.tagging.wd14.get_wd14_tags"]], "imgutils.tagging.wd14": [[61, "module-imgutils.tagging.wd14"]], "imgutils.utils": [[62, "module-imgutils.utils"]], "get_onnx_provider() (in module imgutils.utils.onnxruntime)": [[63, "imgutils.utils.onnxruntime.get_onnx_provider"]], "imgutils.utils.onnxruntime": [[63, "module-imgutils.utils.onnxruntime"]], "open_onnx_model() (in module imgutils.utils.onnxruntime)": [[63, "imgutils.utils.onnxruntime.open_onnx_model"]], "get_ai_created_score() (in module imgutils.validate.aicheck)": [[64, "imgutils.validate.aicheck.get_ai_created_score"]], "imgutils.validate.aicheck": [[64, "module-imgutils.validate.aicheck"]], "is_ai_created() (in module imgutils.validate.aicheck)": [[64, "imgutils.validate.aicheck.is_ai_created"]], "anime_bangumi_char() (in module imgutils.validate.bangumi_char)": [[65, "imgutils.validate.bangumi_char.anime_bangumi_char"]], "anime_bangumi_char_score() (in module imgutils.validate.bangumi_char)": [[65, "imgutils.validate.bangumi_char.anime_bangumi_char_score"]], "imgutils.validate.bangumi_char": [[65, "module-imgutils.validate.bangumi_char"]], "anime_classify() (in module imgutils.validate.classify)": [[66, "imgutils.validate.classify.anime_classify"]], "anime_classify_score() (in module imgutils.validate.classify)": [[66, "imgutils.validate.classify.anime_classify_score"]], "imgutils.validate.classify": [[66, "module-imgutils.validate.classify"]], "imgutils.validate.color": [[67, "module-imgutils.validate.color"]], "is_greyscale() (in module imgutils.validate.color)": [[67, "imgutils.validate.color.is_greyscale"]], "anime_completeness() (in module imgutils.validate.completeness)": [[68, "imgutils.validate.completeness.anime_completeness"]], "anime_completeness_score() (in module imgutils.validate.completeness)": [[68, "imgutils.validate.completeness.anime_completeness_score"]], "imgutils.validate.completeness": [[68, "module-imgutils.validate.completeness"]], "anime_dbrating() (in module imgutils.validate.dbrating)": [[69, "imgutils.validate.dbrating.anime_dbrating"]], "anime_dbrating_score() (in module imgutils.validate.dbrating)": [[69, "imgutils.validate.dbrating.anime_dbrating_score"]], "imgutils.validate.dbrating": [[69, "module-imgutils.validate.dbrating"]], "imgutils.validate": [[70, "module-imgutils.validate"]], "get_monochrome_score() (in module imgutils.validate.monochrome)": [[71, "imgutils.validate.monochrome.get_monochrome_score"]], 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\ No newline at end of file
diff --git a/v0.4.4/.buildinfo b/v0.4.4/.buildinfo
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--- a/v0.4.4/.buildinfo
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index 30d8ac9fc38..c7184137462 100644
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diff --git a/v0.4.4/information/environment.result.html b/v0.4.4/information/environment.result.html
index afbfef82e5a..cc206d4146e 100644
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attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_EYE"]], "right_heel (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_HEEL"]], "right_hip (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_HIP"]], "right_knee (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_KNEE"]], "right_shoulder (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_SHOULDER"]], "right_small_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_SMALL_TOE"]], "right_wrist (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_WRIST"]], "__init__() 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"imgutils.validate.portrait.anime_portrait_score"]], "imgutils.validate.portrait": [[78, "module-imgutils.validate.portrait"]], "anime_rating() (in module imgutils.validate.rating)": [[79, "imgutils.validate.rating.anime_rating"]], "anime_rating_score() (in module imgutils.validate.rating)": [[79, "imgutils.validate.rating.anime_rating_score"]], "imgutils.validate.rating": [[79, "module-imgutils.validate.rating"]], "anime_real() (in module imgutils.validate.real)": [[80, "imgutils.validate.real.anime_real"]], "anime_real_score() (in module imgutils.validate.real)": [[80, "imgutils.validate.real.anime_real_score"]], "imgutils.validate.real": [[80, "module-imgutils.validate.real"]], "imgutils.validate.safe": [[81, "module-imgutils.validate.safe"]], "safe_check() (in module imgutils.validate.safe)": [[81, "imgutils.validate.safe.safe_check"]], "safe_check_score() (in module imgutils.validate.safe)": [[81, "imgutils.validate.safe.safe_check_score"]], "anime_style_age() (in module 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\ No newline at end of file
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"left_big_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_BIG_TOE"]], "left_ear (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_EYE"]], "left_heel (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_HEEL"]], "left_hip (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_HIP"]], "left_knee (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_KNEE"]], "left_shoulder (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_SHOULDER"]], "left_small_toe (imgutils.pose.format.openpose18 attribute)": [[41, 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"get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[57, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[57, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[58, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.tags_to_text"]], "imgutils.tagging": [[59, "module-imgutils.tagging"]], "imgutils.tagging.match": [[60, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[60, 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index 5259025e65a..48217d26a26 100644
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index 0fbd920a8b4..efd407ca1c9 100644
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diff --git a/v0.4.5/information/environment.result.html b/v0.4.5/information/environment.result.html
index 4cc5b04b0e3..746b6f0a657 100644
--- a/v0.4.5/information/environment.result.html
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+Memory Size: 15.606 GiB
 Has CUDA: No
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diff --git a/v0.4.5/information/environment.result.ipynb b/v0.4.5/information/environment.result.ipynb
index b93b387c7c0..efe46527cf5 100644
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"imgutils.metrics.lpips.lpips_clustering"]], "lpips_difference() (in module imgutils.metrics.lpips)": [[32, "imgutils.metrics.lpips.lpips_difference"]], "lpips_extract_feature() (in module imgutils.metrics.lpips)": [[32, "imgutils.metrics.lpips.lpips_extract_feature"]], "imgutils.metrics.psnr_": [[33, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[33, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[34, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[34, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[34, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[34, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[34, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[35, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[35, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.ColorCensor"]], "pixelatecensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.PixelateCensor"]], "censor_area() (imgutils.operate.censor_.basecensor method)": [[36, "imgutils.operate.censor_.BaseCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.blurcensor method)": [[36, "imgutils.operate.censor_.BlurCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.colorcensor method)": [[36, "imgutils.operate.censor_.ColorCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.pixelatecensor method)": [[36, "imgutils.operate.censor_.PixelateCensor.censor_area"]], "censor_areas() (in module imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.censor_areas"]], "censor_nsfw() (in module imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.censor_nsfw"]], "imgutils.operate.censor_": [[36, "module-imgutils.operate.censor_"]], "register_censor_method() (in module imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.register_censor_method"]], "emojibasedcensor (class in imgutils.operate.imgcensor)": [[37, "imgutils.operate.imgcensor.EmojiBasedCensor"]], "imagebasedcensor (class in imgutils.operate.imgcensor)": [[37, "imgutils.operate.imgcensor.ImageBasedCensor"]], "singleimage (class in imgutils.operate.imgcensor)": [[37, "imgutils.operate.imgcensor.SingleImage"]], "__init__() (imgutils.operate.imgcensor.singleimage method)": [[37, "imgutils.operate.imgcensor.SingleImage.__init__"]], "censor_area() (imgutils.operate.imgcensor.emojibasedcensor method)": [[37, "imgutils.operate.imgcensor.EmojiBasedCensor.censor_area"]], "censor_area() (imgutils.operate.imgcensor.imagebasedcensor method)": [[37, "imgutils.operate.imgcensor.ImageBasedCensor.censor_area"]], "find_for_area() (imgutils.operate.imgcensor.singleimage method)": [[37, "imgutils.operate.imgcensor.SingleImage.find_for_area"]], "height (imgutils.operate.imgcensor.singleimage property)": [[37, "imgutils.operate.imgcensor.SingleImage.height"]], "imgutils.operate.imgcensor": [[37, "module-imgutils.operate.imgcensor"]], "width (imgutils.operate.imgcensor.singleimage property)": [[37, "imgutils.operate.imgcensor.SingleImage.width"]], "imgutils.operate": [[38, "module-imgutils.operate"]], "imgutils.operate.squeeze": [[39, "module-imgutils.operate.squeeze"]], "squeeze() (in module imgutils.operate.squeeze)": [[39, "imgutils.operate.squeeze.squeeze"]], "squeeze_with_transparency() (in module imgutils.operate.squeeze)": [[39, "imgutils.operate.squeeze.squeeze_with_transparency"]], "dwpose_estimate() (in module imgutils.pose.dwpose)": [[40, "imgutils.pose.dwpose.dwpose_estimate"]], "imgutils.pose.dwpose": [[40, "module-imgutils.pose.dwpose"]], "left_ankle (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_ANKLE"]], "left_big_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_BIG_TOE"]], "left_ear (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_EYE"]], "left_heel (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_HEEL"]], "left_hip (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_HIP"]], "left_knee (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_KNEE"]], "left_shoulder (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_SHOULDER"]], "left_small_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_SMALL_TOE"]], "left_wrist (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_WRIST"]], "neck (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.NECK"]], "nose (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.NOSE"]], "op18keypointset (class in imgutils.pose.format)": [[41, "imgutils.pose.format.OP18KeyPointSet"]], "op18_body_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_BODY_MAX"]], "op18_body_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_BODY_MIN"]], "op18_face_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_FACE_MAX"]], "op18_face_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_FACE_MIN"]], "op18_left_foot_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_LEFT_FOOT_MAX"]], "op18_left_foot_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_LEFT_FOOT_MIN"]], "op18_left_hand_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_LEFT_HAND_MAX"]], "op18_left_hand_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_EYE"]], "right_heel (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_HEEL"]], "right_hip (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_HIP"]], "right_knee (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_KNEE"]], "right_shoulder (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_SHOULDER"]], "right_small_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_SMALL_TOE"]], "right_wrist (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_WRIST"]], "__init__() (imgutils.pose.format.op18keypointset method)": [[41, "imgutils.pose.format.OP18KeyPointSet.__init__"]], "__mul__() (imgutils.pose.format.op18keypointset method)": [[41, "imgutils.pose.format.OP18KeyPointSet.__mul__"]], "__truediv__() (imgutils.pose.format.op18keypointset method)": [[41, "imgutils.pose.format.OP18KeyPointSet.__truediv__"]], "body (imgutils.pose.format.op18keypointset property)": [[41, "imgutils.pose.format.OP18KeyPointSet.body"]], "face (imgutils.pose.format.op18keypointset property)": [[41, "imgutils.pose.format.OP18KeyPointSet.face"]], "imgutils.pose.format": [[41, "module-imgutils.pose.format"]], "left_foot (imgutils.pose.format.op18keypointset property)": [[41, "imgutils.pose.format.OP18KeyPointSet.left_foot"]], "left_hand (imgutils.pose.format.op18keypointset property)": [[41, "imgutils.pose.format.OP18KeyPointSet.left_hand"]], "right_foot (imgutils.pose.format.op18keypointset property)": [[41, "imgutils.pose.format.OP18KeyPointSet.right_foot"]], "right_hand (imgutils.pose.format.op18keypointset property)": [[41, "imgutils.pose.format.OP18KeyPointSet.right_hand"]], "imgutils.pose": [[42, "module-imgutils.pose"]], "imgutils.pose.visual": [[43, "module-imgutils.pose.visual"]], "op18_visualize() (in module imgutils.pose.visual)": [[43, "imgutils.pose.visual.op18_visualize"]], "backgroundimageset (class in imgutils.resource.background)": [[44, "imgutils.resource.background.BackgroundImageSet"]], "__init__() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.__init__"]], "get_bg_image() (in module imgutils.resource.background)": [[44, "imgutils.resource.background.get_bg_image"]], "get_bg_image_file() (in module imgutils.resource.background)": [[44, "imgutils.resource.background.get_bg_image_file"]], "get_image() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.get_image"]], "get_image_file() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.get_image_file"]], "imgutils.resource.background": [[44, "module-imgutils.resource.background"]], "list_bg_image_files() (in module imgutils.resource.background)": [[44, "imgutils.resource.background.list_bg_image_files"]], "list_image_files() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.list_image_files"]], "random_bg_image() (in module imgutils.resource.background)": [[44, "imgutils.resource.background.random_bg_image"]], "random_bg_image_file() (in module imgutils.resource.background)": [[44, "imgutils.resource.background.random_bg_image_file"]], "random_image() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.random_image"]], "random_image_file() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.random_image_file"]], "imgutils.resource": [[45, "module-imgutils.resource"]], "imgutils.restore.adversarial": [[46, "module-imgutils.restore.adversarial"]], "remove_adversarial_noise() (in module imgutils.restore.adversarial)": [[46, "imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[47, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[48, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module imgutils.restore.nafnet)": [[48, "imgutils.restore.nafnet.restore_with_nafnet"]], "imgutils.restore.scunet": [[49, "module-imgutils.restore.scunet"]], "restore_with_scunet() (in module imgutils.restore.scunet)": [[49, "imgutils.restore.scunet.restore_with_scunet"]], "imgutils.sd": [[50, "module-imgutils.sd"]], "sdmetadata (class in imgutils.sd.metadata)": [[51, "imgutils.sd.metadata.SDMetaData"]], "__str__() (imgutils.sd.metadata.sdmetadata method)": [[51, "imgutils.sd.metadata.SDMetaData.__str__"]], "get_sdmeta_from_image() (in module imgutils.sd.metadata)": [[51, "imgutils.sd.metadata.get_sdmeta_from_image"]], "imgutils.sd.metadata": [[51, "module-imgutils.sd.metadata"]], "parse_sdmeta_from_text() (in module imgutils.sd.metadata)": [[51, "imgutils.sd.metadata.parse_sdmeta_from_text"]], "pnginfo (imgutils.sd.metadata.sdmetadata property)": [[51, "imgutils.sd.metadata.SDMetaData.pnginfo"]], "imgutils.sd.model": [[52, "module-imgutils.sd.model"]], "read_metadata() (in module imgutils.sd.model)": [[52, "imgutils.sd.model.read_metadata"]], "save_with_metadata() (in module imgutils.sd.model)": [[52, "imgutils.sd.model.save_with_metadata"]], "imgutils.segment": [[53, "module-imgutils.segment"]], "get_isnetis_mask() (in module imgutils.segment.isnetis)": [[54, "imgutils.segment.isnetis.get_isnetis_mask"]], "imgutils.segment.isnetis": [[54, "module-imgutils.segment.isnetis"]], "segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[54, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[54, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[55, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[55, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[55, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_WHITELIST_SUFFIX"]], "char_whitelist_word (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_WHITELIST_WORD"]], "charactertagpool (class in imgutils.tagging.character)": [[56, "imgutils.tagging.character.CharacterTagPool"]], "__init__() (imgutils.tagging.character.charactertagpool method)": [[56, "imgutils.tagging.character.CharacterTagPool.__init__"]], "drop_basic_character_tags() (imgutils.tagging.character.charactertagpool method)": [[56, "imgutils.tagging.character.CharacterTagPool.drop_basic_character_tags"]], "drop_basic_character_tags() (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.drop_basic_character_tags"]], "imgutils.tagging.character": [[56, "module-imgutils.tagging.character"]], "is_basic_character_tag() (imgutils.tagging.character.charactertagpool method)": [[56, "imgutils.tagging.character.CharacterTagPool.is_basic_character_tag"]], "is_basic_character_tag() (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.is_basic_character_tag"]], "get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[57, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[57, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[58, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.tags_to_text"]], "imgutils.tagging": [[59, "module-imgutils.tagging"]], "imgutils.tagging.match": [[60, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_suffix"]], "get_mldanbooru_tags() (in module imgutils.tagging.mldanbooru)": [[61, "imgutils.tagging.mldanbooru.get_mldanbooru_tags"]], "imgutils.tagging.mldanbooru": [[61, "module-imgutils.tagging.mldanbooru"]], "imgutils.tagging.order": [[62, "module-imgutils.tagging.order"]], "sort_tags() (in module imgutils.tagging.order)": [[62, "imgutils.tagging.order.sort_tags"]], "drop_overlap_tags() (in module imgutils.tagging.overlap)": [[63, "imgutils.tagging.overlap.drop_overlap_tags"]], "imgutils.tagging.overlap": [[63, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module imgutils.tagging.wd14)": [[64, "imgutils.tagging.wd14.get_wd14_tags"]], "imgutils.tagging.wd14": [[64, "module-imgutils.tagging.wd14"]], "imgutils.upscale.cdc": [[65, "module-imgutils.upscale.cdc"]], "upscale_with_cdc() (in module imgutils.upscale.cdc)": [[65, "imgutils.upscale.cdc.upscale_with_cdc"]], "imgutils.upscale": [[66, "module-imgutils.upscale"]], "imgutils.utils": [[67, "module-imgutils.utils"]], "get_onnx_provider() (in module imgutils.utils.onnxruntime)": [[68, "imgutils.utils.onnxruntime.get_onnx_provider"]], "imgutils.utils.onnxruntime": [[68, "module-imgutils.utils.onnxruntime"]], "open_onnx_model() (in module imgutils.utils.onnxruntime)": [[68, "imgutils.utils.onnxruntime.open_onnx_model"]], "get_ai_created_score() (in module imgutils.validate.aicheck)": [[69, "imgutils.validate.aicheck.get_ai_created_score"]], "imgutils.validate.aicheck": [[69, "module-imgutils.validate.aicheck"]], "is_ai_created() (in module imgutils.validate.aicheck)": [[69, "imgutils.validate.aicheck.is_ai_created"]], "anime_bangumi_char() (in module imgutils.validate.bangumi_char)": [[70, "imgutils.validate.bangumi_char.anime_bangumi_char"]], "anime_bangumi_char_score() (in module imgutils.validate.bangumi_char)": [[70, "imgutils.validate.bangumi_char.anime_bangumi_char_score"]], "imgutils.validate.bangumi_char": [[70, "module-imgutils.validate.bangumi_char"]], "anime_classify() (in module imgutils.validate.classify)": [[71, "imgutils.validate.classify.anime_classify"]], "anime_classify_score() (in module imgutils.validate.classify)": [[71, "imgutils.validate.classify.anime_classify_score"]], "imgutils.validate.classify": [[71, "module-imgutils.validate.classify"]], "imgutils.validate.color": [[72, "module-imgutils.validate.color"]], "is_greyscale() (in module imgutils.validate.color)": [[72, "imgutils.validate.color.is_greyscale"]], "anime_completeness() (in module imgutils.validate.completeness)": [[73, "imgutils.validate.completeness.anime_completeness"]], "anime_completeness_score() (in module imgutils.validate.completeness)": [[73, "imgutils.validate.completeness.anime_completeness_score"]], "imgutils.validate.completeness": [[73, "module-imgutils.validate.completeness"]], "anime_dbrating() (in module imgutils.validate.dbrating)": [[74, "imgutils.validate.dbrating.anime_dbrating"]], "anime_dbrating_score() (in module imgutils.validate.dbrating)": [[74, "imgutils.validate.dbrating.anime_dbrating_score"]], "imgutils.validate.dbrating": [[74, "module-imgutils.validate.dbrating"]], "imgutils.validate": [[75, "module-imgutils.validate"]], "get_monochrome_score() (in module imgutils.validate.monochrome)": [[76, "imgutils.validate.monochrome.get_monochrome_score"]], "imgutils.validate.monochrome": [[76, "module-imgutils.validate.monochrome"]], "is_monochrome() (in module imgutils.validate.monochrome)": [[76, "imgutils.validate.monochrome.is_monochrome"]], "imgutils.validate.nsfw": [[77, "module-imgutils.validate.nsfw"]], "nsfw_pred() (in module imgutils.validate.nsfw)": [[77, "imgutils.validate.nsfw.nsfw_pred"]], "nsfw_pred_score() (in module imgutils.validate.nsfw)": [[77, "imgutils.validate.nsfw.nsfw_pred_score"]], "anime_portrait() (in module imgutils.validate.portrait)": [[78, "imgutils.validate.portrait.anime_portrait"]], "anime_portrait_score() (in module imgutils.validate.portrait)": [[78, "imgutils.validate.portrait.anime_portrait_score"]], "imgutils.validate.portrait": [[78, "module-imgutils.validate.portrait"]], "anime_rating() (in module imgutils.validate.rating)": [[79, "imgutils.validate.rating.anime_rating"]], "anime_rating_score() (in module imgutils.validate.rating)": [[79, "imgutils.validate.rating.anime_rating_score"]], "imgutils.validate.rating": [[79, "module-imgutils.validate.rating"]], "anime_real() (in module imgutils.validate.real)": [[80, "imgutils.validate.real.anime_real"]], "anime_real_score() (in module imgutils.validate.real)": [[80, "imgutils.validate.real.anime_real_score"]], "imgutils.validate.real": [[80, "module-imgutils.validate.real"]], "imgutils.validate.safe": [[81, "module-imgutils.validate.safe"]], "safe_check() (in module imgutils.validate.safe)": [[81, "imgutils.validate.safe.safe_check"]], "safe_check_score() (in module imgutils.validate.safe)": [[81, "imgutils.validate.safe.safe_check_score"]], "anime_style_age() (in module imgutils.validate.style_age)": [[82, "imgutils.validate.style_age.anime_style_age"]], "anime_style_age_score() (in module imgutils.validate.style_age)": [[82, "imgutils.validate.style_age.anime_style_age_score"]], "imgutils.validate.style_age": [[82, "module-imgutils.validate.style_age"]], "anime_teen() (in module imgutils.validate.teen)": [[83, "imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": [[83, "imgutils.validate.teen.anime_teen_score"]], "imgutils.validate.teen": [[83, "module-imgutils.validate.teen"]], "imgutils.validate.truncate": [[84, "module-imgutils.validate.truncate"]], "is_truncated_file() (in module imgutils.validate.truncate)": [[84, "imgutils.validate.truncate.is_truncated_file"]]}})
\ No newline at end of file
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"get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[57, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[57, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[58, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.tags_to_text"]], "imgutils.tagging": [[59, "module-imgutils.tagging"]], "imgutils.tagging.match": [[60, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_suffix"]], "get_mldanbooru_tags() (in module imgutils.tagging.mldanbooru)": [[61, "imgutils.tagging.mldanbooru.get_mldanbooru_tags"]], "imgutils.tagging.mldanbooru": [[61, "module-imgutils.tagging.mldanbooru"]], "imgutils.tagging.order": [[62, "module-imgutils.tagging.order"]], "sort_tags() (in module imgutils.tagging.order)": [[62, "imgutils.tagging.order.sort_tags"]], "drop_overlap_tags() (in module imgutils.tagging.overlap)": [[63, "imgutils.tagging.overlap.drop_overlap_tags"]], "imgutils.tagging.overlap": [[63, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module imgutils.tagging.wd14)": [[64, "imgutils.tagging.wd14.get_wd14_tags"]], "imgutils.tagging.wd14": [[64, "module-imgutils.tagging.wd14"]], "imgutils.upscale.cdc": [[65, "module-imgutils.upscale.cdc"]], "upscale_with_cdc() (in module imgutils.upscale.cdc)": [[65, "imgutils.upscale.cdc.upscale_with_cdc"]], "imgutils.upscale": [[66, "module-imgutils.upscale"]], "imgutils.utils": 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imgutils.validate.dbrating)": [[74, "imgutils.validate.dbrating.anime_dbrating_score"]], "imgutils.validate.dbrating": [[74, "module-imgutils.validate.dbrating"]], "imgutils.validate": [[75, "module-imgutils.validate"]], "get_monochrome_score() (in module imgutils.validate.monochrome)": [[76, "imgutils.validate.monochrome.get_monochrome_score"]], "imgutils.validate.monochrome": [[76, "module-imgutils.validate.monochrome"]], "is_monochrome() (in module imgutils.validate.monochrome)": [[76, "imgutils.validate.monochrome.is_monochrome"]], "imgutils.validate.nsfw": [[77, "module-imgutils.validate.nsfw"]], "nsfw_pred() (in module imgutils.validate.nsfw)": [[77, "imgutils.validate.nsfw.nsfw_pred"]], "nsfw_pred_score() (in module imgutils.validate.nsfw)": [[77, "imgutils.validate.nsfw.nsfw_pred_score"]], "anime_portrait() (in module imgutils.validate.portrait)": [[78, "imgutils.validate.portrait.anime_portrait"]], "anime_portrait_score() (in module imgutils.validate.portrait)": [[78, 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\ No newline at end of file
diff --git a/v0.4.6/.buildinfo b/v0.4.6/.buildinfo
index b358c421de2..9b551bf51e9 100644
--- a/v0.4.6/.buildinfo
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diff --git a/v0.4.6/information/environment.html b/v0.4.6/information/environment.html
index 41f9266be59..378e66889d1 100644
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diff --git a/v0.4.6/information/environment.ipynb b/v0.4.6/information/environment.ipynb
index 295cb317ead..6127c535b72 100644
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diff --git a/v0.4.6/information/environment.result.html b/v0.4.6/information/environment.result.html
index 63b250cc221..92e5705ac36 100644
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index f9025fc71b5..52d4620eef5 100644
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diff --git a/v0.4.6/searchindex.js b/v0.4.6/searchindex.js
index 3c0830dc4da..86a0d3d88e1 100644
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"imgutils.detect.head": [[15, "module-imgutils.detect.head"]], "imgutils.detect": [[16, "module-imgutils.detect"]], "detect_person() (in module imgutils.detect.person)": [[17, "imgutils.detect.person.detect_person"]], "imgutils.detect.person": [[17, "module-imgutils.detect.person"]], "detect_text() (in module imgutils.detect.text)": [[18, "imgutils.detect.text.detect_text"]], "imgutils.detect.text": [[18, "module-imgutils.detect.text"]], "detection_visualize() (in module imgutils.detect.visual)": [[19, "imgutils.detect.visual.detection_visualize"]], "imgutils.detect.visual": [[19, "module-imgutils.detect.visual"]], "edge_image_with_canny() (in module imgutils.edge.canny)": [[20, "imgutils.edge.canny.edge_image_with_canny"]], "get_edge_by_canny() (in module imgutils.edge.canny)": [[20, "imgutils.edge.canny.get_edge_by_canny"]], "imgutils.edge.canny": [[20, "module-imgutils.edge.canny"]], "imgutils.edge": [[21, "module-imgutils.edge"]], "edge_image_with_lineart() (in module 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\ No newline at end of file
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"segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[54, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[54, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[55, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[55, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[55, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[56, 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\ No newline at end of file
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index d0391c7f827..169be2f9724 100644
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"imgutils.detect.head": [[15, "module-imgutils.detect.head"]], "imgutils.detect": [[16, "module-imgutils.detect"]], "detect_person() (in module imgutils.detect.person)": [[17, "imgutils.detect.person.detect_person"]], "imgutils.detect.person": [[17, "module-imgutils.detect.person"]], "detect_text() (in module imgutils.detect.text)": [[18, "imgutils.detect.text.detect_text"]], "imgutils.detect.text": [[18, "module-imgutils.detect.text"]], "detection_visualize() (in module imgutils.detect.visual)": [[19, "imgutils.detect.visual.detection_visualize"]], "imgutils.detect.visual": [[19, "module-imgutils.detect.visual"]], "edge_image_with_canny() (in module imgutils.edge.canny)": [[20, "imgutils.edge.canny.edge_image_with_canny"]], "get_edge_by_canny() (in module imgutils.edge.canny)": [[20, "imgutils.edge.canny.get_edge_by_canny"]], "imgutils.edge.canny": [[20, "module-imgutils.edge.canny"]], "imgutils.edge": [[21, "module-imgutils.edge"]], "edge_image_with_lineart() (in module 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imgutils.generic.classify)": [[24, "imgutils.generic.classify.classify_predict_score"]], "clear() (imgutils.generic.classify.classifymodel method)": [[24, "imgutils.generic.classify.ClassifyModel.clear"]], "imgutils.generic.classify": [[24, "module-imgutils.generic.classify"]], "predict() (imgutils.generic.classify.classifymodel method)": [[24, "imgutils.generic.classify.ClassifyModel.predict"]], "predict_score() (imgutils.generic.classify.classifymodel method)": [[24, "imgutils.generic.classify.ClassifyModel.predict_score"]], "imageenhancer (class in imgutils.generic.enhance)": [[25, "imgutils.generic.enhance.ImageEnhancer"]], "__init__() (imgutils.generic.enhance.imageenhancer method)": [[25, "imgutils.generic.enhance.ImageEnhancer.__init__"]], "imgutils.generic.enhance": [[25, "module-imgutils.generic.enhance"]], "process() (imgutils.generic.enhance.imageenhancer method)": [[25, "imgutils.generic.enhance.ImageEnhancer.process"]], "imgutils.generic": [[26, 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"imgutils.upscale.cdc.upscale_with_cdc"]], "imgutils.upscale": [[66, "module-imgutils.upscale"]], "imgutils.utils": [[67, "module-imgutils.utils"]], "get_onnx_provider() (in module imgutils.utils.onnxruntime)": [[68, "imgutils.utils.onnxruntime.get_onnx_provider"]], "imgutils.utils.onnxruntime": [[68, "module-imgutils.utils.onnxruntime"]], "open_onnx_model() (in module imgutils.utils.onnxruntime)": [[68, "imgutils.utils.onnxruntime.open_onnx_model"]], "get_ai_created_score() (in module imgutils.validate.aicheck)": [[69, "imgutils.validate.aicheck.get_ai_created_score"]], "imgutils.validate.aicheck": [[69, "module-imgutils.validate.aicheck"]], "is_ai_created() (in module imgutils.validate.aicheck)": [[69, "imgutils.validate.aicheck.is_ai_created"]], "anime_bangumi_char() (in module imgutils.validate.bangumi_char)": [[70, "imgutils.validate.bangumi_char.anime_bangumi_char"]], "anime_bangumi_char_score() (in module imgutils.validate.bangumi_char)": [[70, 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\ No newline at end of file
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method)": [[44, "imgutils.resource.background.BackgroundImageSet.get_image"]], "get_image_file() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.get_image_file"]], "imgutils.resource.background": [[44, "module-imgutils.resource.background"]], "list_bg_image_files() (in module imgutils.resource.background)": [[44, "imgutils.resource.background.list_bg_image_files"]], "list_image_files() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.list_image_files"]], "random_bg_image() (in module imgutils.resource.background)": [[44, "imgutils.resource.background.random_bg_image"]], "random_bg_image_file() (in module imgutils.resource.background)": [[44, "imgutils.resource.background.random_bg_image_file"]], "random_image() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.random_image"]], "random_image_file() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.random_image_file"]], "imgutils.resource": [[45, "module-imgutils.resource"]], "imgutils.restore.adversarial": [[46, "module-imgutils.restore.adversarial"]], "remove_adversarial_noise() (in module imgutils.restore.adversarial)": [[46, "imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[47, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[48, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module imgutils.restore.nafnet)": [[48, "imgutils.restore.nafnet.restore_with_nafnet"]], "imgutils.restore.scunet": [[49, "module-imgutils.restore.scunet"]], "restore_with_scunet() (in module imgutils.restore.scunet)": [[49, "imgutils.restore.scunet.restore_with_scunet"]], "imgutils.sd": [[50, "module-imgutils.sd"]], "sdmetadata (class in imgutils.sd.metadata)": [[51, "imgutils.sd.metadata.SDMetaData"]], "__str__() (imgutils.sd.metadata.sdmetadata method)": [[51, "imgutils.sd.metadata.SDMetaData.__str__"]], "get_sdmeta_from_image() (in module imgutils.sd.metadata)": [[51, "imgutils.sd.metadata.get_sdmeta_from_image"]], "imgutils.sd.metadata": [[51, "module-imgutils.sd.metadata"]], "parse_sdmeta_from_text() (in module imgutils.sd.metadata)": [[51, "imgutils.sd.metadata.parse_sdmeta_from_text"]], "pnginfo (imgutils.sd.metadata.sdmetadata property)": [[51, "imgutils.sd.metadata.SDMetaData.pnginfo"]], "imgutils.sd.model": [[52, "module-imgutils.sd.model"]], "read_metadata() (in module imgutils.sd.model)": [[52, "imgutils.sd.model.read_metadata"]], "save_with_metadata() (in module imgutils.sd.model)": [[52, "imgutils.sd.model.save_with_metadata"]], "imgutils.segment": [[53, "module-imgutils.segment"]], "get_isnetis_mask() (in module imgutils.segment.isnetis)": [[54, "imgutils.segment.isnetis.get_isnetis_mask"]], "imgutils.segment.isnetis": [[54, "module-imgutils.segment.isnetis"]], "segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[54, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[54, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[55, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[55, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[55, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_WHITELIST_SUFFIX"]], "char_whitelist_word (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_WHITELIST_WORD"]], "charactertagpool (class in imgutils.tagging.character)": [[56, "imgutils.tagging.character.CharacterTagPool"]], "__init__() (imgutils.tagging.character.charactertagpool method)": [[56, "imgutils.tagging.character.CharacterTagPool.__init__"]], "drop_basic_character_tags() (imgutils.tagging.character.charactertagpool method)": [[56, "imgutils.tagging.character.CharacterTagPool.drop_basic_character_tags"]], "drop_basic_character_tags() (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.drop_basic_character_tags"]], "imgutils.tagging.character": [[56, "module-imgutils.tagging.character"]], "is_basic_character_tag() (imgutils.tagging.character.charactertagpool method)": [[56, "imgutils.tagging.character.CharacterTagPool.is_basic_character_tag"]], "is_basic_character_tag() (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.is_basic_character_tag"]], "get_deepdanbooru_tags() (in module imgutils.tagging.deepdanbooru)": [[57, "imgutils.tagging.deepdanbooru.get_deepdanbooru_tags"]], "imgutils.tagging.deepdanbooru": [[57, "module-imgutils.tagging.deepdanbooru"]], "add_underline() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.add_underline"]], "imgutils.tagging.format": [[58, "module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module imgutils.tagging.format)": [[58, "imgutils.tagging.format.tags_to_text"]], "imgutils.tagging": [[59, "module-imgutils.tagging"]], "imgutils.tagging.match": [[60, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[60, "imgutils.tagging.match.tag_match_suffix"]], "get_mldanbooru_tags() (in module imgutils.tagging.mldanbooru)": [[61, "imgutils.tagging.mldanbooru.get_mldanbooru_tags"]], "imgutils.tagging.mldanbooru": [[61, "module-imgutils.tagging.mldanbooru"]], "imgutils.tagging.order": [[62, "module-imgutils.tagging.order"]], "sort_tags() (in module imgutils.tagging.order)": [[62, "imgutils.tagging.order.sort_tags"]], "drop_overlap_tags() (in module imgutils.tagging.overlap)": [[63, "imgutils.tagging.overlap.drop_overlap_tags"]], "imgutils.tagging.overlap": [[63, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module imgutils.tagging.wd14)": [[64, "imgutils.tagging.wd14.get_wd14_tags"]], "imgutils.tagging.wd14": [[64, "module-imgutils.tagging.wd14"]], "imgutils.upscale.cdc": [[65, "module-imgutils.upscale.cdc"]], "upscale_with_cdc() (in module imgutils.upscale.cdc)": [[65, "imgutils.upscale.cdc.upscale_with_cdc"]], "imgutils.upscale": [[66, "module-imgutils.upscale"]], "imgutils.utils": [[67, "module-imgutils.utils"]], "get_onnx_provider() (in module imgutils.utils.onnxruntime)": [[68, "imgutils.utils.onnxruntime.get_onnx_provider"]], "imgutils.utils.onnxruntime": [[68, "module-imgutils.utils.onnxruntime"]], "open_onnx_model() (in module imgutils.utils.onnxruntime)": [[68, "imgutils.utils.onnxruntime.open_onnx_model"]], "get_ai_created_score() (in module imgutils.validate.aicheck)": [[69, "imgutils.validate.aicheck.get_ai_created_score"]], "imgutils.validate.aicheck": [[69, "module-imgutils.validate.aicheck"]], "is_ai_created() (in module imgutils.validate.aicheck)": [[69, "imgutils.validate.aicheck.is_ai_created"]], "anime_bangumi_char() (in module imgutils.validate.bangumi_char)": [[70, "imgutils.validate.bangumi_char.anime_bangumi_char"]], "anime_bangumi_char_score() (in module imgutils.validate.bangumi_char)": [[70, "imgutils.validate.bangumi_char.anime_bangumi_char_score"]], "imgutils.validate.bangumi_char": [[70, "module-imgutils.validate.bangumi_char"]], "anime_classify() (in module imgutils.validate.classify)": [[71, "imgutils.validate.classify.anime_classify"]], "anime_classify_score() (in module imgutils.validate.classify)": [[71, "imgutils.validate.classify.anime_classify_score"]], "imgutils.validate.classify": [[71, "module-imgutils.validate.classify"]], "imgutils.validate.color": [[72, "module-imgutils.validate.color"]], "is_greyscale() (in module imgutils.validate.color)": [[72, "imgutils.validate.color.is_greyscale"]], "anime_completeness() (in module imgutils.validate.completeness)": [[73, "imgutils.validate.completeness.anime_completeness"]], "anime_completeness_score() (in module imgutils.validate.completeness)": [[73, "imgutils.validate.completeness.anime_completeness_score"]], "imgutils.validate.completeness": [[73, "module-imgutils.validate.completeness"]], "anime_dbrating() (in module imgutils.validate.dbrating)": [[74, "imgutils.validate.dbrating.anime_dbrating"]], "anime_dbrating_score() (in module imgutils.validate.dbrating)": [[74, "imgutils.validate.dbrating.anime_dbrating_score"]], "imgutils.validate.dbrating": [[74, "module-imgutils.validate.dbrating"]], "imgutils.validate": [[75, "module-imgutils.validate"]], "get_monochrome_score() (in module imgutils.validate.monochrome)": [[76, "imgutils.validate.monochrome.get_monochrome_score"]], "imgutils.validate.monochrome": [[76, "module-imgutils.validate.monochrome"]], "is_monochrome() (in module imgutils.validate.monochrome)": [[76, "imgutils.validate.monochrome.is_monochrome"]], "imgutils.validate.nsfw": [[77, "module-imgutils.validate.nsfw"]], "nsfw_pred() (in module imgutils.validate.nsfw)": [[77, "imgutils.validate.nsfw.nsfw_pred"]], "nsfw_pred_score() (in module imgutils.validate.nsfw)": [[77, "imgutils.validate.nsfw.nsfw_pred_score"]], "anime_portrait() (in module imgutils.validate.portrait)": [[78, "imgutils.validate.portrait.anime_portrait"]], "anime_portrait_score() (in module imgutils.validate.portrait)": [[78, "imgutils.validate.portrait.anime_portrait_score"]], "imgutils.validate.portrait": [[78, "module-imgutils.validate.portrait"]], "anime_rating() (in module imgutils.validate.rating)": [[79, "imgutils.validate.rating.anime_rating"]], "anime_rating_score() (in module imgutils.validate.rating)": [[79, "imgutils.validate.rating.anime_rating_score"]], "imgutils.validate.rating": [[79, "module-imgutils.validate.rating"]], "anime_real() (in module imgutils.validate.real)": [[80, "imgutils.validate.real.anime_real"]], "anime_real_score() (in module imgutils.validate.real)": [[80, "imgutils.validate.real.anime_real_score"]], "imgutils.validate.real": [[80, "module-imgutils.validate.real"]], "imgutils.validate.safe": [[81, "module-imgutils.validate.safe"]], "safe_check() (in module imgutils.validate.safe)": [[81, "imgutils.validate.safe.safe_check"]], "safe_check_score() (in module imgutils.validate.safe)": [[81, "imgutils.validate.safe.safe_check_score"]], "anime_style_age() (in module imgutils.validate.style_age)": [[82, "imgutils.validate.style_age.anime_style_age"]], "anime_style_age_score() (in module imgutils.validate.style_age)": [[82, "imgutils.validate.style_age.anime_style_age_score"]], "imgutils.validate.style_age": [[82, "module-imgutils.validate.style_age"]], "anime_teen() (in module imgutils.validate.teen)": [[83, "imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": [[83, "imgutils.validate.teen.anime_teen_score"]], "imgutils.validate.teen": [[83, "module-imgutils.validate.teen"]], "imgutils.validate.truncate": [[84, "module-imgutils.validate.truncate"]], "is_truncated_file() (in module imgutils.validate.truncate)": [[84, "imgutils.validate.truncate.is_truncated_file"]]}})
\ No newline at end of file
diff --git a/v0.4.8/.buildinfo b/v0.4.8/.buildinfo
index fce9c284bf3..2d3eb52b7ea 100644
--- a/v0.4.8/.buildinfo
+++ b/v0.4.8/.buildinfo
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 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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diff --git a/v0.4.8/information/environment.html b/v0.4.8/information/environment.html
index 84d61d6f7e4..a3c2d30ddeb 100644
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-Memory Size: 15.615 GiB
+CPU Freq: 2917.33375 MHz
+Memory Size: 15.606 GiB
 Has CUDA: No
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diff --git a/v0.4.8/information/environment.result.html b/v0.4.8/information/environment.result.html
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 CPU Brand: AMD EPYC 7763 64-Core Processor
 CPU Count: 4
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diff --git a/v0.4.8/information/environment.result.ipynb b/v0.4.8/information/environment.result.ipynb
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diff --git a/v0.4.8/searchindex.js b/v0.4.8/searchindex.js
index 3ccb75ead5d..8ee0a274193 100644
--- a/v0.4.8/searchindex.js
+++ b/v0.4.8/searchindex.js
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\ No newline at end of file
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"imgutils.detect.head": [[15, "module-imgutils.detect.head"]], "imgutils.detect": [[16, "module-imgutils.detect"]], "detect_person() (in module imgutils.detect.person)": [[17, "imgutils.detect.person.detect_person"]], "imgutils.detect.person": [[17, "module-imgutils.detect.person"]], "detect_text() (in module imgutils.detect.text)": [[18, "imgutils.detect.text.detect_text"]], "imgutils.detect.text": [[18, "module-imgutils.detect.text"]], "detection_visualize() (in module imgutils.detect.visual)": [[19, "imgutils.detect.visual.detection_visualize"]], "imgutils.detect.visual": [[19, "module-imgutils.detect.visual"]], "edge_image_with_canny() (in module imgutils.edge.canny)": [[20, "imgutils.edge.canny.edge_image_with_canny"]], "get_edge_by_canny() (in module imgutils.edge.canny)": [[20, "imgutils.edge.canny.get_edge_by_canny"]], "imgutils.edge.canny": [[20, "module-imgutils.edge.canny"]], "imgutils.edge": [[21, "module-imgutils.edge"]], "edge_image_with_lineart() (in module 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"module-imgutils.generic"]], "get_aesthetic_score() (in module imgutils.metrics.aesthetic)": [[27, "imgutils.metrics.aesthetic.get_aesthetic_score"]], "imgutils.metrics.aesthetic": [[27, "module-imgutils.metrics.aesthetic"]], "ccip_batch_differences() (in module imgutils.metrics.ccip)": [[28, "imgutils.metrics.ccip.ccip_batch_differences"]], "ccip_batch_extract_features() (in module imgutils.metrics.ccip)": [[28, "imgutils.metrics.ccip.ccip_batch_extract_features"]], "ccip_batch_same() (in module imgutils.metrics.ccip)": [[28, "imgutils.metrics.ccip.ccip_batch_same"]], "ccip_clustering() (in module imgutils.metrics.ccip)": [[28, "imgutils.metrics.ccip.ccip_clustering"]], "ccip_default_clustering_params() (in module imgutils.metrics.ccip)": [[28, "imgutils.metrics.ccip.ccip_default_clustering_params"]], "ccip_default_threshold() (in module imgutils.metrics.ccip)": [[28, "imgutils.metrics.ccip.ccip_default_threshold"]], "ccip_difference() (in module imgutils.metrics.ccip)": [[28, 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"find_for_area() (imgutils.operate.imgcensor.singleimage method)": [[37, "imgutils.operate.imgcensor.SingleImage.find_for_area"]], "height (imgutils.operate.imgcensor.singleimage property)": [[37, "imgutils.operate.imgcensor.SingleImage.height"]], "imgutils.operate.imgcensor": [[37, "module-imgutils.operate.imgcensor"]], "width (imgutils.operate.imgcensor.singleimage property)": [[37, "imgutils.operate.imgcensor.SingleImage.width"]], "imgutils.operate": [[38, "module-imgutils.operate"]], "imgutils.operate.squeeze": [[39, "module-imgutils.operate.squeeze"]], "squeeze() (in module imgutils.operate.squeeze)": [[39, "imgutils.operate.squeeze.squeeze"]], "squeeze_with_transparency() (in module imgutils.operate.squeeze)": [[39, "imgutils.operate.squeeze.squeeze_with_transparency"]], "dwpose_estimate() (in module imgutils.pose.dwpose)": [[40, "imgutils.pose.dwpose.dwpose_estimate"]], "imgutils.pose.dwpose": [[40, "module-imgutils.pose.dwpose"]], "left_ankle (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_ANKLE"]], "left_big_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_BIG_TOE"]], "left_ear (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_EYE"]], "left_heel (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_HEEL"]], "left_hip (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_HIP"]], "left_knee (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_KNEE"]], "left_shoulder (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_SHOULDER"]], "left_small_toe 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"imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_EYE"]], "right_heel (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_HEEL"]], "right_hip (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_HIP"]], "right_knee (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_KNEE"]], "right_shoulder (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_SHOULDER"]], "right_small_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_SMALL_TOE"]], "right_wrist 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"random_image_file() (imgutils.resource.background.backgroundimageset method)": [[44, "imgutils.resource.background.BackgroundImageSet.random_image_file"]], "imgutils.resource": [[45, "module-imgutils.resource"]], "imgutils.restore.adversarial": [[46, "module-imgutils.restore.adversarial"]], "remove_adversarial_noise() (in module imgutils.restore.adversarial)": [[46, "imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[47, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[48, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module imgutils.restore.nafnet)": [[48, "imgutils.restore.nafnet.restore_with_nafnet"]], "imgutils.restore.scunet": [[49, "module-imgutils.restore.scunet"]], "restore_with_scunet() (in module imgutils.restore.scunet)": [[49, "imgutils.restore.scunet.restore_with_scunet"]], "imgutils.sd": [[50, "module-imgutils.sd"]], "sdmetadata (class in imgutils.sd.metadata)": [[51, "imgutils.sd.metadata.SDMetaData"]], "__str__() 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"segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[54, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[54, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[55, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[55, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[55, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[56, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[56, 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\ No newline at end of file
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index c6094664d1d..472985e3974 100644
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+++ b/v0.4.9/.doctrees/nbsphinx/information/environment.ipynb
@@ -29,10 +29,10 @@
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@@ -43,7 +43,7 @@
      "name": "stdout",
      "output_type": "stream",
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-      "OS: Linux-6.8.0-1014-azure-x86_64-with-glibc2.34\n",
+      "OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34\n",
       "Python: CPython 3.8.18\n"
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@@ -53,8 +53,8 @@
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       "CPU Count: 4\n",
-      "CPU Freq: 3038.0644999999995 MHz\n",
-      "Memory Size: 15.615 GiB\n",
+      "CPU Freq: 3034.5297499999997 MHz\n",
+      "Memory Size: 15.606 GiB\n",
       "Has CUDA: No\n"
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diff --git a/v0.4.9/information/environment.result.html b/v0.4.9/information/environment.result.html
index 41bb79896c5..e051079588d 100644
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"imgutils.metrics.psnr_": [[33, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[33, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[34, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[34, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[34, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[34, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[34, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[35, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[35, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.ColorCensor"]], "pixelatecensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.PixelateCensor"]], "censor_area() (imgutils.operate.censor_.basecensor method)": [[36, "imgutils.operate.censor_.BaseCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.blurcensor method)": [[36, "imgutils.operate.censor_.BlurCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.colorcensor method)": [[36, "imgutils.operate.censor_.ColorCensor.censor_area"]], "censor_area() (imgutils.operate.censor_.pixelatecensor method)": [[36, "imgutils.operate.censor_.PixelateCensor.censor_area"]], "censor_areas() (in module imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.censor_areas"]], "censor_nsfw() (in module imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.censor_nsfw"]], "imgutils.operate.censor_": [[36, "module-imgutils.operate.censor_"]], "register_censor_method() (in module imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.register_censor_method"]], "emojibasedcensor (class in imgutils.operate.imgcensor)": [[37, "imgutils.operate.imgcensor.EmojiBasedCensor"]], "imagebasedcensor (class in imgutils.operate.imgcensor)": [[37, "imgutils.operate.imgcensor.ImageBasedCensor"]], "singleimage (class in imgutils.operate.imgcensor)": [[37, "imgutils.operate.imgcensor.SingleImage"]], "__init__() (imgutils.operate.imgcensor.singleimage method)": [[37, "imgutils.operate.imgcensor.SingleImage.__init__"]], "censor_area() (imgutils.operate.imgcensor.emojibasedcensor method)": [[37, "imgutils.operate.imgcensor.EmojiBasedCensor.censor_area"]], "censor_area() (imgutils.operate.imgcensor.imagebasedcensor method)": [[37, "imgutils.operate.imgcensor.ImageBasedCensor.censor_area"]], "find_for_area() (imgutils.operate.imgcensor.singleimage method)": [[37, "imgutils.operate.imgcensor.SingleImage.find_for_area"]], "height (imgutils.operate.imgcensor.singleimage property)": [[37, "imgutils.operate.imgcensor.SingleImage.height"]], 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imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye 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module imgutils.validate.real)": [[81, "imgutils.validate.real.anime_real"]], "anime_real_score() (in module imgutils.validate.real)": [[81, "imgutils.validate.real.anime_real_score"]], "imgutils.validate.real": [[81, "module-imgutils.validate.real"]], "imgutils.validate.safe": [[82, "module-imgutils.validate.safe"]], "safe_check() (in module imgutils.validate.safe)": [[82, "imgutils.validate.safe.safe_check"]], "safe_check_score() (in module imgutils.validate.safe)": [[82, "imgutils.validate.safe.safe_check_score"]], "anime_style_age() (in module imgutils.validate.style_age)": [[83, "imgutils.validate.style_age.anime_style_age"]], "anime_style_age_score() (in module imgutils.validate.style_age)": [[83, "imgutils.validate.style_age.anime_style_age_score"]], "imgutils.validate.style_age": [[83, "module-imgutils.validate.style_age"]], "anime_teen() (in module imgutils.validate.teen)": [[84, "imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": [[84, "imgutils.validate.teen.anime_teen_score"]], "imgutils.validate.teen": [[84, "module-imgutils.validate.teen"]], "imgutils.validate.truncate": [[85, "module-imgutils.validate.truncate"]], "is_truncated_file() (in module imgutils.validate.truncate)": [[85, "imgutils.validate.truncate.is_truncated_file"]]}})
\ No newline at end of file
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"imgutils.metrics.psnr_": [[33, "module-imgutils.metrics.psnr_"]], "psnr() (in module imgutils.metrics.psnr_)": [[33, "imgutils.metrics.psnr_.psnr"]], "detect_text_with_ocr() (in module imgutils.ocr)": [[34, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[34, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[34, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[34, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[34, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[35, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[35, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[36, "imgutils.operate.censor_.ColorCensor"]], 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"imgutils.pose.format.OpenPose18.LEFT_EAR"]], "left_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_ELBOW"]], "left_eye (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_EYE"]], "left_heel (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_HEEL"]], "left_hip (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_HIP"]], "left_knee (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_KNEE"]], "left_shoulder (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_SHOULDER"]], "left_small_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_SMALL_TOE"]], "left_wrist (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.LEFT_WRIST"]], "neck (imgutils.pose.format.openpose18 attribute)": 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imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_LEFT_HAND_MIN"]], "op18_right_foot_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[41, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[41, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye 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module imgutils.validate.real)": [[81, "imgutils.validate.real.anime_real"]], "anime_real_score() (in module imgutils.validate.real)": [[81, "imgutils.validate.real.anime_real_score"]], "imgutils.validate.real": [[81, "module-imgutils.validate.real"]], "imgutils.validate.safe": [[82, "module-imgutils.validate.safe"]], "safe_check() (in module imgutils.validate.safe)": [[82, "imgutils.validate.safe.safe_check"]], "safe_check_score() (in module imgutils.validate.safe)": [[82, "imgutils.validate.safe.safe_check_score"]], "anime_style_age() (in module imgutils.validate.style_age)": [[83, "imgutils.validate.style_age.anime_style_age"]], "anime_style_age_score() (in module imgutils.validate.style_age)": [[83, "imgutils.validate.style_age.anime_style_age_score"]], "imgutils.validate.style_age": [[83, "module-imgutils.validate.style_age"]], "anime_teen() (in module imgutils.validate.teen)": [[84, "imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": 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\ No newline at end of file
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diff --git a/v0.5.0/information/environment.html b/v0.5.0/information/environment.html
index 7af922d184a..8c02f44ec86 100644
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 <div class="highlight"><pre>
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 CPU Brand: AMD EPYC 7763 64-Core Processor
 CPU Count: 4
-CPU Freq: 3217.579 MHz
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+CPU Freq: 2959.727 MHz
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 Has CUDA: No
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diff --git a/v0.5.0/information/environment.ipynb b/v0.5.0/information/environment.ipynb
index acc17b0cc64..7a835828cd2 100644
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diff --git a/v0.5.0/information/environment.result.html b/v0.5.0/information/environment.result.html
index 93b18f35990..14f83418837 100644
--- a/v0.5.0/information/environment.result.html
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 <div class="highlight"><pre>
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 CPU Brand: AMD EPYC 7763 64-Core Processor
 CPU Count: 4
-CPU Freq: 3247.585 MHz
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 Has CUDA: No
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diff --git a/v0.5.0/information/environment.result.ipynb b/v0.5.0/information/environment.result.ipynb
index 9f41f8d5907..87fbc7beedb 100644
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diff --git a/v0.5.0/searchindex.js b/v0.5.0/searchindex.js
index 1fde83b4d00..2994ac1ef34 100644
--- a/v0.5.0/searchindex.js
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"api_doc/validate/classify", "api_doc/validate/color", "api_doc/validate/completeness", "api_doc/validate/dbrating", "api_doc/validate/index", "api_doc/validate/monochrome", "api_doc/validate/nsfw", "api_doc/validate/portrait", "api_doc/validate/rating", "api_doc/validate/real", "api_doc/validate/safe", "api_doc/validate/style_age", "api_doc/validate/teen", "api_doc/validate/truncate", "index", "information/environment", "information/environment.result", "tutorials/installation/index", "tutorials/quick_start/index"], "filenames": ["api_doc/ascii/drawing.rst", "api_doc/ascii/index.rst", "api_doc/config/index.rst", "api_doc/config/meta.rst", "api_doc/data/background.rst", "api_doc/data/decode.rst", "api_doc/data/encode.rst", "api_doc/data/image.rst", "api_doc/data/index.rst", "api_doc/data/layer.rst", "api_doc/detect/booru_yolo.rst", "api_doc/detect/censor.rst", "api_doc/detect/eye.rst", "api_doc/detect/face.rst", "api_doc/detect/halfbody.rst", "api_doc/detect/hand.rst", 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"api_doc/resource/index.rst", "api_doc/restore/adversarial.rst", "api_doc/restore/index.rst", "api_doc/restore/nafnet.rst", "api_doc/restore/scunet.rst", "api_doc/sd/index.rst", "api_doc/sd/metadata.rst", "api_doc/sd/model.rst", "api_doc/sd/nai.rst", "api_doc/segment/index.rst", "api_doc/segment/isnetis.rst", "api_doc/tagging/blacklist.rst", "api_doc/tagging/character.rst", "api_doc/tagging/deepdanbooru.rst", "api_doc/tagging/format.rst", "api_doc/tagging/index.rst", "api_doc/tagging/match.rst", "api_doc/tagging/mldanbooru.rst", "api_doc/tagging/order.rst", "api_doc/tagging/overlap.rst", "api_doc/tagging/wd14.rst", "api_doc/upscale/cdc.rst", "api_doc/upscale/index.rst", "api_doc/utils/index.rst", "api_doc/utils/onnxruntime.rst", "api_doc/validate/aicheck.rst", "api_doc/validate/bangumi_char.rst", "api_doc/validate/classify.rst", "api_doc/validate/color.rst", "api_doc/validate/completeness.rst", "api_doc/validate/dbrating.rst", "api_doc/validate/index.rst", 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"module-imgutils.edge.lineart"]], "edge_image_with_lineart_anime() (in module imgutils.edge.lineart_anime)": [[25, "imgutils.edge.lineart_anime.edge_image_with_lineart_anime"]], "get_edge_by_lineart_anime() (in module imgutils.edge.lineart_anime)": [[25, "imgutils.edge.lineart_anime.get_edge_by_lineart_anime"]], "imgutils.edge.lineart_anime": [[25, "module-imgutils.edge.lineart_anime"]], "classifymodel (class in imgutils.generic.classify)": [[26, "imgutils.generic.classify.ClassifyModel"]], "__init__() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.__init__"]], "classify_predict() (in module imgutils.generic.classify)": [[26, "imgutils.generic.classify.classify_predict"]], "classify_predict_score() (in module imgutils.generic.classify)": [[26, "imgutils.generic.classify.classify_predict_score"]], "clear() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.clear"]], 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"read_geninfo_gif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.read_geninfo_gif"]], "read_geninfo_parameters() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.read_geninfo_parameters"]], "write_geninfo_exif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.write_geninfo_exif"]], "write_geninfo_gif() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.write_geninfo_gif"]], "write_geninfo_parameters() (in module imgutils.metadata.geninfo)": [[29, "imgutils.metadata.geninfo.write_geninfo_parameters"]], "imgutils.metadata": [[30, "module-imgutils.metadata"]], "imagelsbdataextractor (class in imgutils.metadata.lsb)": [[31, "imgutils.metadata.lsb.ImageLsbDataExtractor"]], "lsbextractor (class in imgutils.metadata.lsb)": [[31, "imgutils.metadata.lsb.LSBExtractor"]], "lsbreaderror (class in imgutils.metadata.lsb)": [[31, "imgutils.metadata.lsb.LSBReadError"]], "__init__() 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imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_FOOT_MAX"]], "op18_right_foot_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_FOOT_MIN"]], "op18_right_hand_max (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_HAND_MAX"]], "op18_right_hand_min (in module imgutils.pose.format)": [[46, "imgutils.pose.format.OP18_RIGHT_HAND_MIN"]], "right_ankle (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_ANKLE"]], "right_big_toe (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_BIG_TOE"]], "right_ear (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_EAR"]], "right_elbow (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_ELBOW"]], "right_eye (imgutils.pose.format.openpose18 attribute)": [[46, "imgutils.pose.format.OpenPose18.RIGHT_EYE"]], "right_heel 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"imgutils.restore.adversarial.remove_adversarial_noise"]], "imgutils.restore": [[52, "module-imgutils.restore"]], "imgutils.restore.nafnet": [[53, "module-imgutils.restore.nafnet"]], "restore_with_nafnet() (in module imgutils.restore.nafnet)": [[53, "imgutils.restore.nafnet.restore_with_nafnet"]], "imgutils.restore.scunet": [[54, "module-imgutils.restore.scunet"]], "restore_with_scunet() (in module imgutils.restore.scunet)": [[54, "imgutils.restore.scunet.restore_with_scunet"]], "imgutils.sd": [[55, "module-imgutils.sd"]], "sdmetadata (class in imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.SDMetaData"]], "__str__() (imgutils.sd.metadata.sdmetadata method)": [[56, "imgutils.sd.metadata.SDMetaData.__str__"]], "get_sdmeta_from_image() (in module imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.get_sdmeta_from_image"]], "imgutils.sd.metadata": [[56, "module-imgutils.sd.metadata"]], "parse_sdmeta_from_text() (in module imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.parse_sdmeta_from_text"]], "pnginfo (imgutils.sd.metadata.sdmetadata property)": [[56, "imgutils.sd.metadata.SDMetaData.pnginfo"]], "save_image_with_sdmeta() (in module imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.save_image_with_sdmeta"]], "text (imgutils.sd.metadata.sdmetadata property)": [[56, "imgutils.sd.metadata.SDMetaData.text"]], "imgutils.sd.model": [[57, "module-imgutils.sd.model"]], "read_metadata() (in module imgutils.sd.model)": [[57, "imgutils.sd.model.read_metadata"]], "save_with_metadata() (in module imgutils.sd.model)": [[57, "imgutils.sd.model.save_with_metadata"]], "naimetadata (class in imgutils.sd.nai)": [[58, "imgutils.sd.nai.NAIMetaData"], [58, "imgutils.sd.nai.NAIMetadata"]], "__init__() (imgutils.sd.nai.naimetadata method)": [[58, "imgutils.sd.nai.NAIMetaData.__init__"]], "add_naimeta_to_image() (in module imgutils.sd.nai)": [[58, "imgutils.sd.nai.add_naimeta_to_image"]], "get_naimeta_from_image() (in module imgutils.sd.nai)": [[58, 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"imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": [[89, "imgutils.validate.teen.anime_teen_score"]], "imgutils.validate.teen": [[89, "module-imgutils.validate.teen"]], "imgutils.validate.truncate": [[90, "module-imgutils.validate.truncate"]], "is_truncated_file() (in module imgutils.validate.truncate)": [[90, "imgutils.validate.truncate.is_truncated_file"]]}})
\ No newline at end of file
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"module-imgutils.edge.lineart"]], "edge_image_with_lineart_anime() (in module imgutils.edge.lineart_anime)": [[25, "imgutils.edge.lineart_anime.edge_image_with_lineart_anime"]], "get_edge_by_lineart_anime() (in module imgutils.edge.lineart_anime)": [[25, "imgutils.edge.lineart_anime.get_edge_by_lineart_anime"]], "imgutils.edge.lineart_anime": [[25, "module-imgutils.edge.lineart_anime"]], "classifymodel (class in imgutils.generic.classify)": [[26, "imgutils.generic.classify.ClassifyModel"]], "__init__() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.__init__"]], "classify_predict() (in module imgutils.generic.classify)": [[26, "imgutils.generic.classify.classify_predict"]], "classify_predict_score() (in module imgutils.generic.classify)": [[26, "imgutils.generic.classify.classify_predict_score"]], "clear() (imgutils.generic.classify.classifymodel method)": [[26, "imgutils.generic.classify.ClassifyModel.clear"]], 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"detect_text_with_ocr() (in module imgutils.ocr)": [[39, "imgutils.ocr.detect_text_with_ocr"]], "imgutils.ocr": [[39, "module-imgutils.ocr"]], "list_det_models() (in module imgutils.ocr)": [[39, "imgutils.ocr.list_det_models"]], "list_rec_models() (in module imgutils.ocr)": [[39, "imgutils.ocr.list_rec_models"]], "ocr() (in module imgutils.ocr)": [[39, "imgutils.ocr.ocr"]], "align_maxsize() (in module imgutils.operate.align)": [[40, "imgutils.operate.align.align_maxsize"]], "imgutils.operate.align": [[40, "module-imgutils.operate.align"]], "basecensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.BaseCensor"]], "blurcensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.BlurCensor"]], "colorcensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.ColorCensor"]], "pixelatecensor (class in imgutils.operate.censor_)": [[41, "imgutils.operate.censor_.PixelateCensor"]], "censor_area() (imgutils.operate.censor_.basecensor 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"imgutils.sd.metadata.parse_sdmeta_from_text"]], "pnginfo (imgutils.sd.metadata.sdmetadata property)": [[56, "imgutils.sd.metadata.SDMetaData.pnginfo"]], "save_image_with_sdmeta() (in module imgutils.sd.metadata)": [[56, "imgutils.sd.metadata.save_image_with_sdmeta"]], "text (imgutils.sd.metadata.sdmetadata property)": [[56, "imgutils.sd.metadata.SDMetaData.text"]], "imgutils.sd.model": [[57, "module-imgutils.sd.model"]], "read_metadata() (in module imgutils.sd.model)": [[57, "imgutils.sd.model.read_metadata"]], "save_with_metadata() (in module imgutils.sd.model)": [[57, "imgutils.sd.model.save_with_metadata"]], "naimetadata (class in imgutils.sd.nai)": [[58, "imgutils.sd.nai.NAIMetaData"], [58, "imgutils.sd.nai.NAIMetadata"]], "__init__() (imgutils.sd.nai.naimetadata method)": [[58, "imgutils.sd.nai.NAIMetaData.__init__"]], "add_naimeta_to_image() (in module imgutils.sd.nai)": [[58, "imgutils.sd.nai.add_naimeta_to_image"]], "get_naimeta_from_image() (in module imgutils.sd.nai)": [[58, "imgutils.sd.nai.get_naimeta_from_image"]], "imgutils.sd.nai": [[58, "module-imgutils.sd.nai"]], "pnginfo (imgutils.sd.nai.naimetadata property)": [[58, "imgutils.sd.nai.NAIMetaData.pnginfo"]], "save_image_with_naimeta() (in module imgutils.sd.nai)": [[58, "imgutils.sd.nai.save_image_with_naimeta"]], "imgutils.segment": [[59, "module-imgutils.segment"]], "get_isnetis_mask() (in module imgutils.segment.isnetis)": [[60, "imgutils.segment.isnetis.get_isnetis_mask"]], "imgutils.segment.isnetis": [[60, "module-imgutils.segment.isnetis"]], "segment_rgba_with_isnetis() (in module imgutils.segment.isnetis)": [[60, "imgutils.segment.isnetis.segment_rgba_with_isnetis"]], "segment_with_isnetis() (in module imgutils.segment.isnetis)": [[60, "imgutils.segment.isnetis.segment_with_isnetis"]], "drop_blacklisted_tags() (in module imgutils.tagging.blacklist)": [[61, "imgutils.tagging.blacklist.drop_blacklisted_tags"]], "imgutils.tagging.blacklist": [[61, "module-imgutils.tagging.blacklist"]], "is_blacklisted() (in module imgutils.tagging.blacklist)": [[61, "imgutils.tagging.blacklist.is_blacklisted"]], "char_prefixes (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.CHAR_PREFIXES"]], "char_suffixes (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.CHAR_SUFFIXES"]], "char_whitelist_prefix (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.CHAR_WHITELIST_PREFIX"]], "char_whitelist_suffix (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.CHAR_WHITELIST_SUFFIX"]], "char_whitelist_word (in module imgutils.tagging.character)": [[62, "imgutils.tagging.character.CHAR_WHITELIST_WORD"]], "charactertagpool (class in imgutils.tagging.character)": [[62, "imgutils.tagging.character.CharacterTagPool"]], "__init__() (imgutils.tagging.character.charactertagpool method)": [[62, "imgutils.tagging.character.CharacterTagPool.__init__"]], "drop_basic_character_tags() 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"module-imgutils.tagging.format"]], "remove_underline() (in module imgutils.tagging.format)": [[64, "imgutils.tagging.format.remove_underline"]], "tags_to_text() (in module imgutils.tagging.format)": [[64, "imgutils.tagging.format.tags_to_text"]], "imgutils.tagging": [[65, "module-imgutils.tagging"]], "imgutils.tagging.match": [[66, "module-imgutils.tagging.match"]], "tag_match_full() (in module imgutils.tagging.match)": [[66, "imgutils.tagging.match.tag_match_full"]], "tag_match_prefix() (in module imgutils.tagging.match)": [[66, "imgutils.tagging.match.tag_match_prefix"]], "tag_match_suffix() (in module imgutils.tagging.match)": [[66, "imgutils.tagging.match.tag_match_suffix"]], "get_mldanbooru_tags() (in module imgutils.tagging.mldanbooru)": [[67, "imgutils.tagging.mldanbooru.get_mldanbooru_tags"]], "imgutils.tagging.mldanbooru": [[67, "module-imgutils.tagging.mldanbooru"]], "imgutils.tagging.order": [[68, "module-imgutils.tagging.order"]], "sort_tags() (in module imgutils.tagging.order)": [[68, "imgutils.tagging.order.sort_tags"]], "drop_overlap_tags() (in module imgutils.tagging.overlap)": [[69, "imgutils.tagging.overlap.drop_overlap_tags"]], "imgutils.tagging.overlap": [[69, "module-imgutils.tagging.overlap"]], "get_wd14_tags() (in module imgutils.tagging.wd14)": [[70, "imgutils.tagging.wd14.get_wd14_tags"]], "imgutils.tagging.wd14": [[70, "module-imgutils.tagging.wd14"]], "imgutils.upscale.cdc": [[71, "module-imgutils.upscale.cdc"]], "upscale_with_cdc() (in module imgutils.upscale.cdc)": [[71, "imgutils.upscale.cdc.upscale_with_cdc"]], "imgutils.upscale": [[72, "module-imgutils.upscale"]], "imgutils.utils": [[73, "module-imgutils.utils"]], "get_onnx_provider() (in module imgutils.utils.onnxruntime)": [[74, "imgutils.utils.onnxruntime.get_onnx_provider"]], "imgutils.utils.onnxruntime": [[74, "module-imgutils.utils.onnxruntime"]], "open_onnx_model() (in module imgutils.utils.onnxruntime)": [[74, "imgutils.utils.onnxruntime.open_onnx_model"]], "get_ai_created_score() (in module imgutils.validate.aicheck)": [[75, "imgutils.validate.aicheck.get_ai_created_score"]], "imgutils.validate.aicheck": [[75, "module-imgutils.validate.aicheck"]], "is_ai_created() (in module imgutils.validate.aicheck)": [[75, "imgutils.validate.aicheck.is_ai_created"]], "anime_bangumi_char() (in module imgutils.validate.bangumi_char)": [[76, "imgutils.validate.bangumi_char.anime_bangumi_char"]], "anime_bangumi_char_score() (in module imgutils.validate.bangumi_char)": [[76, "imgutils.validate.bangumi_char.anime_bangumi_char_score"]], "imgutils.validate.bangumi_char": [[76, "module-imgutils.validate.bangumi_char"]], "anime_classify() (in module imgutils.validate.classify)": [[77, "imgutils.validate.classify.anime_classify"]], "anime_classify_score() (in module imgutils.validate.classify)": [[77, "imgutils.validate.classify.anime_classify_score"]], "imgutils.validate.classify": [[77, "module-imgutils.validate.classify"]], "imgutils.validate.color": [[78, "module-imgutils.validate.color"]], "is_greyscale() (in module imgutils.validate.color)": [[78, "imgutils.validate.color.is_greyscale"]], "anime_completeness() (in module imgutils.validate.completeness)": [[79, "imgutils.validate.completeness.anime_completeness"]], "anime_completeness_score() (in module imgutils.validate.completeness)": [[79, "imgutils.validate.completeness.anime_completeness_score"]], "imgutils.validate.completeness": [[79, "module-imgutils.validate.completeness"]], "anime_dbrating() (in module imgutils.validate.dbrating)": [[80, "imgutils.validate.dbrating.anime_dbrating"]], "anime_dbrating_score() (in module imgutils.validate.dbrating)": [[80, "imgutils.validate.dbrating.anime_dbrating_score"]], "imgutils.validate.dbrating": [[80, "module-imgutils.validate.dbrating"]], "imgutils.validate": [[81, "module-imgutils.validate"]], "get_monochrome_score() (in module imgutils.validate.monochrome)": [[82, "imgutils.validate.monochrome.get_monochrome_score"]], "imgutils.validate.monochrome": [[82, "module-imgutils.validate.monochrome"]], "is_monochrome() (in module imgutils.validate.monochrome)": [[82, "imgutils.validate.monochrome.is_monochrome"]], "imgutils.validate.nsfw": [[83, "module-imgutils.validate.nsfw"]], "nsfw_pred() (in module imgutils.validate.nsfw)": [[83, "imgutils.validate.nsfw.nsfw_pred"]], "nsfw_pred_score() (in module imgutils.validate.nsfw)": [[83, "imgutils.validate.nsfw.nsfw_pred_score"]], "anime_portrait() (in module imgutils.validate.portrait)": [[84, "imgutils.validate.portrait.anime_portrait"]], "anime_portrait_score() (in module imgutils.validate.portrait)": [[84, "imgutils.validate.portrait.anime_portrait_score"]], "imgutils.validate.portrait": [[84, "module-imgutils.validate.portrait"]], "anime_rating() (in module imgutils.validate.rating)": [[85, "imgutils.validate.rating.anime_rating"]], "anime_rating_score() (in module imgutils.validate.rating)": [[85, "imgutils.validate.rating.anime_rating_score"]], "imgutils.validate.rating": [[85, "module-imgutils.validate.rating"]], "anime_real() (in module imgutils.validate.real)": [[86, "imgutils.validate.real.anime_real"]], "anime_real_score() (in module imgutils.validate.real)": [[86, "imgutils.validate.real.anime_real_score"]], "imgutils.validate.real": [[86, "module-imgutils.validate.real"]], "imgutils.validate.safe": [[87, "module-imgutils.validate.safe"]], "safe_check() (in module imgutils.validate.safe)": [[87, "imgutils.validate.safe.safe_check"]], "safe_check_score() (in module imgutils.validate.safe)": [[87, "imgutils.validate.safe.safe_check_score"]], "anime_style_age() (in module imgutils.validate.style_age)": [[88, "imgutils.validate.style_age.anime_style_age"]], "anime_style_age_score() (in module imgutils.validate.style_age)": [[88, "imgutils.validate.style_age.anime_style_age_score"]], "imgutils.validate.style_age": [[88, "module-imgutils.validate.style_age"]], "anime_teen() (in module imgutils.validate.teen)": [[89, "imgutils.validate.teen.anime_teen"]], "anime_teen_score() (in module imgutils.validate.teen)": [[89, "imgutils.validate.teen.anime_teen_score"]], "imgutils.validate.teen": [[89, "module-imgutils.validate.teen"]], "imgutils.validate.truncate": [[90, "module-imgutils.validate.truncate"]], "is_truncated_file() (in module imgutils.validate.truncate)": [[90, "imgutils.validate.truncate.is_truncated_file"]]}})
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