[Feature] pp-humanseg-v2 (#2331)

* refine code and doc
* clean files
* rename all models
* english doc

contrib/PP-HumanSeg/configs/human_pp_humansegv1_lite.yml

@@ -0,0 +1,66 @@
+batch_size: 8
+iters: 1000
+
+train_dataset:
+  type: Dataset
+  dataset_root: data/mini_supervisely
+  train_path: data/mini_supervisely/train.txt
+  num_classes: 2
+  transforms:
+    - type: Resize
+      target_size: [192, 192]
+    - type: ResizeStepScaling
+      scale_step_size: 0
+    - type: RandomRotation
+    - type: RandomPaddingCrop
+      crop_size: [192, 192]
+    - type: RandomHorizontalFlip
+    - type: RandomDistort
+    - type: RandomBlur
+      prob: 0.3
+    - type: Normalize
+  mode: train
+
+val_dataset:
+  type: Dataset
+  dataset_root: data/mini_supervisely
+  val_path: data/mini_supervisely/val.txt
+  num_classes: 2
+  transforms:
+    - type: Resize
+      target_size: [192, 192]
+    - type: Normalize
+  mode: val
+
+export:
+  transforms:
+    - type: Resize
+      target_size: [192, 192]
+    - type: Normalize
+
+
+optimizer:
+  type: sgd
+  momentum: 0.9
+  weight_decay: 0.0005
+
+lr_scheduler:
+  type: PolynomialDecay
+  learning_rate: 0.0001
+  end_lr: 0
+  power: 0.9
+
+loss:
+  types:
+    - type: MixedLoss
+      losses:
+        - type: CrossEntropyLoss
+        - type: LovaszSoftmaxLoss
+      coef: [0.8, 0.2]
+  coef: [1]
+
+model:
+  type: PPHumanSegLite
+  align_corners: False
+  num_classes: 2
+  pretrained: pretrained_models/human_pp_humanseg_lite_v1_192x192_pretrained/model.pdparams

contrib/PP-HumanSeg/configs/pp_humanseg_mobile_192x192_mini_supervisely.yml → contrib/PP-HumanSeg/configs/human_pp_humansegv1_mobile.yml

@@ -1,5 +1,5 @@
-batch_size: 64
-iters: 2000
+batch_size: 8
+iters: 1000
 
 train_dataset:
   type: Dataset
@@ -9,11 +9,15 @@ train_dataset:
   transforms:
     - type: Resize
       target_size: [192, 192]
+    - type: ResizeStepScaling
+      scale_step_size: 0
+    - type: RandomRotation
+    - type: RandomPaddingCrop
+      crop_size: [192, 192]
     - type: RandomHorizontalFlip
     - type: RandomDistort
-      brightness_range: 0.4
-      contrast_range: 0.4
-      saturation_range: 0.4
+    - type: RandomBlur
+      prob: 0.3
     - type: Normalize
   mode: train
 
@@ -42,13 +46,17 @@ optimizer:
 
 lr_scheduler:
   type: PolynomialDecay
-  learning_rate: 0.05
+  learning_rate: 0.001
   end_lr: 0
   power: 0.9
 
 loss:
   types:
-    - type: CrossEntropyLoss
+    - type: MixedLoss
+      losses:
+        - type: CrossEntropyLoss
+        - type: LovaszSoftmaxLoss
+      coef: [0.8, 0.2]
   coef: [1]
 
 model:
@@ -57,5 +65,5 @@ model:
     type: HRNet_W18_Small_V1
     align_corners: False
   num_classes: 2
-  pretrained: pretrained_model/fcn_hrnetw18_small_v1_humanseg_192x192/model.pdparams
   backbone_indices: [-1]
+  pretrained: pretrained_models/human_pp_humanseg_mobile_v1_192x192_pretrained/model.pdparams