Merge branch 'master' of https://github.com/PaddlePaddle/PaddleSeg

turtorial/finetune_deeplabv3plus.md

@@ -66,9 +66,6 @@ MODEL:
     DEFAULT_NORM_TYPE: "bn"
     DEEPLAB:
         BACKBONE: "xception_65"
-TRAIN:
-    PRETRAINED_MODEL_DIR: "./pretrained_model/deeplabv3p_xception65_bn_pet/"
-
 
 # 其他配置
 TRAIN_CROP_SIZE: (512, 512)
@@ -78,6 +75,7 @@ AUG:
     FIX_RESIZE_SIZE: (512, 512)
 BATCH_SIZE: 4
 TRAIN:
+    PRETRAINED_MODEL_DIR: "./pretrained_model/deeplabv3p_xception65_bn_pet/"
     MODEL_SAVE_DIR: "./finetune/deeplabv3p_xception65_bn_pet/"
     SNAPSHOT_EPOCH: 10
 TEST:

turtorial/finetune_icnet.md

@@ -65,9 +65,6 @@ MODEL:
     MODEL_NAME: "icnet"
     DEFAULT_NORM_TYPE: "bn"
     MULTI_LOSS_WEIGHT: "[1.0, 0.4, 0.16]"
-TRAIN:
-    PRETRAINED_MODEL_DIR: "./pretrained_model/icnet_bn_cityscapes/"
-
 
 # 其他配置
 TRAIN_CROP_SIZE: (512, 512)
@@ -77,6 +74,7 @@ AUG:
     FIX_RESIZE_SIZE: (512, 512)
 BATCH_SIZE: 4
 TRAIN:
+    PRETRAINED_MODEL_DIR: "./pretrained_model/icnet_bn_cityscapes/"
     MODEL_SAVE_DIR: "./saved_model/icnet_pet/"
     SNAPSHOT_EPOCH: 10
 TEST:

turtorial/finetune_unet.md

@@ -64,9 +64,6 @@ DATASET:
 MODEL:
     MODEL_NAME: "unet"
     DEFAULT_NORM_TYPE: "bn"
-TRAIN:
-    PRETRAINED_MODEL_DIR: "./pretrained_model/unet_bn_coco/"
-
 
 # 其他配置
 TRAIN_CROP_SIZE: (512, 512)
@@ -76,6 +73,7 @@ AUG:
     FIX_RESIZE_SIZE: (512, 512)
 BATCH_SIZE: 4
 TRAIN:
+    PRETRAINED_MODEL_DIR: "./pretrained_model/unet_bn_coco/"
     MODEL_SAVE_DIR: "./saved_model/unet_pet/"
     SNAPSHOT_EPOCH: 10
 TEST: