Merge pull request #77 from opendatalab/dev

Dev
opendatalab · Jan 30, 2024 · f3c6154 · f3c6154
2 parents 3fe8a82 + 13dedbd
commit f3c6154
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diff --git a/.VERSION b/.VERSION
@@ -1,4 +1,4 @@
-alpha_assets_url: https://github.com/opendatalab/labelU-Kit/releases/download/v3.2.1/frontend.zip
-alpha_version: v3.2.1
+alpha_assets_url: https://github.com/opendatalab/labelU-Kit/releases/download/v4.0.0-alpha.26/frontend.zip
+alpha_version: v4.0.0-alpha.26
 release_assets_url: https://github.com/opendatalab/labelU-Kit/releases/download/v3.2.1/frontend.zip
 release_version: v3.2.1
diff --git a/README.md b/README.md
@@ -14,7 +14,7 @@
 
 LabelU offers a variety of annotation tools and features, supporting image, video, and audio annotation.
 
-- Image: Multifunctional image processing tools encompassing 2D frames, semantic segmentation, polylines, keypoints, and many other annotation tools, assist in completing image identification, annotation, and analysis.
+- Image: Multifunctional image processing tools encompassing 2D bounding box, cuboid, semantic segmentation, polylines, keypoints, and many other annotation tools, assist in completing image identification, annotation, and analysis.
 - Video: The video annotation has robust video processing capabilities, able to implement video segmentation, video classification, video information extraction, and other functions, providing high-quality annotated data for model training.
 - Audio: Highly efficient and accurate audio analysis tool can achieve audio segmentation, audio classification, audio information extraction, and other functions, making complex sound information visually intuitive.
 
@@ -105,6 +105,7 @@ git submodule update --remote --merge
 - Point Annotation: Points can help users accurately label key information in the image and can be used for object recognition, scene analysis tasks.
 - Polygon: Can help users accurately label irregular shapes and can be used for object recognition, scene analysis tasks.
 - Line Annotation: Lines can help users accurately label edges and contours in the image and can be used for object recognition, scene analysis tasks.
+- Cuboid: Cuboid can help users accurately label the size, shape, and location of objects within images, and can be used for object recognition, scene analysis tasks.
 
 ### Video
 

diff --git a/README_zh-CN.md b/README_zh-CN.md
@@ -105,6 +105,7 @@ git submodule update --remote --merge
 - 标点：点可以帮助用户准确地标注图像中的关键信息，并且可以用于物体识别、场景分析等任务。
 - 多边形：多边形可以帮助用户准确地标注不规则形状，并且可以用于物体识别、场景分析等任务。
 - 标线：线可以帮助用户准确地标注图像中的边缘和轮廓，并且可以用于物体识别、场景分析等任务。
+- 立体框：立体框可以帮助用户准确地标注图像中的物体大小、形状、位置等信息，并且可以用于物体识别、场景分析等任务。
 
 ### 视频
 

diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "labelu"
-version = '0.7.533'
+version = '0.7.562'
 description = ""
 license = "Apache-2.0"
 authors = ["pengjinhu <[email protected]>"]