modify official_models from 3.0 to 3.0b1 and update mlclas yaml

paddlex/configs/multilabel_classification/CLIP_vit_base_patch16_448_ML.yaml

@@ -22,7 +22,7 @@ Train:
   pretrain_weight_path: null
   warmup_steps: 5
   resume_path: null
-  log_interval: 1
+  log_interval: 20
   eval_interval: 1
   save_interval: 1
 
@@ -30,6 +30,9 @@ Evaluate:
   weight_path: "output/best_model.pdparams"
   log_interval: 1
 
+Export:
+  weight_path: https://paddleclas.bj.bcebos.com/models/multi_label/CLIP_vit_base_patch16_448_ml_decoder_448_pretrained.pdparams
+
 Predict:
   model_dir: "output/best_model"
   input_path: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_image_classification_001.jpg"

paddlex/configs/multilabel_classification/PP-HGNetV2-B0_ML.yaml

@@ -22,7 +22,7 @@ Train:
   pretrain_weight_path: null
   warmup_steps: 5
   resume_path: null
-  log_interval: 1
+  log_interval: 20
   eval_interval: 1
   save_interval: 1
 
@@ -30,6 +30,9 @@ Evaluate:
   weight_path: "output/best_model.pdparams"
   log_interval: 1
 
+Export:
+  weight_path: https://paddleclas.bj.bcebos.com/models/multi_label/PP-HGNetV2-B0_ml_decoder_448_pretrained.pdparams
+
 Predict:
   model_dir: "output/best_model"
   input_path: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_image_classification_001.jpg"

paddlex/configs/multilabel_classification/PP-HGNetV2-B4_ML.yaml

@@ -22,7 +22,7 @@ Train:
   pretrain_weight_path: null
   warmup_steps: 5
   resume_path: null
-  log_interval: 1
+  log_interval: 20
   eval_interval: 1
   save_interval: 1
 
@@ -30,9 +30,12 @@ Evaluate:
   weight_path: "output/best_model.pdparams"
   log_interval: 1
 
+Export:
+  weight_path: https://paddleclas.bj.bcebos.com/models/multi_label/PP-HGNetV2-B4_ml_decoder_448_pretrained.pdparams
+
 Predict:
   model_dir: "output/best_model"
   input_path: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_image_classification_001.jpg"
   kernel_option:
     run_mode: paddle
-    batch_size: 1
+    batch_size: 1

paddlex/configs/multilabel_classification/PP-HGNetV2-B6_ML.yaml

@@ -22,7 +22,7 @@ Train:
   pretrain_weight_path: null
   warmup_steps: 5
   resume_path: null
-  log_interval: 1
+  log_interval: 20
   eval_interval: 1
   save_interval: 1
 
@@ -30,6 +30,9 @@ Evaluate:
   weight_path: "output/best_model.pdparams"
   log_interval: 1
 
+Export:
+  weight_path: https://paddleclas.bj.bcebos.com/models/multi_label/PP-HGNetV2-B6_ml_decoder_448_pretrained.pdparams
+
 Predict:
   model_dir: "output/best_model"
   input_path: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_image_classification_001.jpg"

paddlex/configs/multilabel_classification/PP-LCNet_x1_0_ML.yaml

@@ -22,7 +22,7 @@ Train:
   pretrain_weight_path: null
   warmup_steps: 5
   resume_path: null
-  log_interval: 1
+  log_interval: 20
   eval_interval: 1
   save_interval: 1
 
@@ -30,6 +30,9 @@ Evaluate:
   weight_path: "output/best_model.pdparams"
   log_interval: 1
 
+Export:
+  weight_path: https://paddleclas.bj.bcebos.com/models/multi_label/PP-LCNet_x1_0_ml_decoder_448_pretrained.pdparams
+
 Predict:
   model_dir: "output/best_model"
   input_path: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_image_classification_001.jpg"

paddlex/configs/multilabel_classification/ResNet50_ML.yaml

@@ -22,7 +22,7 @@ Train:
   pretrain_weight_path: null
   warmup_steps: 5
   resume_path: null
-  log_interval: 1
+  log_interval: 20
   eval_interval: 1
   save_interval: 1
 
@@ -30,9 +30,12 @@ Evaluate:
   weight_path: "output/best_model.pdparams"
   log_interval: 1
 
+Export:
+  weight_path:  https://paddleclas.bj.bcebos.com/models/multi_label/ResNet50_ml_decoder_448_pretrained.pdparams
+
 Predict:
   model_dir: "output/best_model"
   input_path: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_image_classification_001.jpg"
   kernel_option:
     run_mode: paddle
-    batch_size: 1
+    batch_size: 1

paddlex/modules/base/predictor/utils/official_models.py

@@ -18,150 +18,156 @@ from .....utils.cache import CACHE_DIR
 from .....utils.download import download_and_extract
 
 OFFICIAL_MODELS = {
-    "ResNet18": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet18_infer.tar",
-    "ResNet18_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet18_vd_infer.tar",
-    "ResNet34": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet34_infer.tar",
-    "ResNet34_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet34_vd_infer.tar",
-    "ResNet50": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet50_infer.tar",
-    "ResNet50_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet50_vd_infer.tar",
-    "ResNet101": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet101_infer.tar",
-    "ResNet101_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet101_vd_infer.tar",
-    "ResNet152": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet152_infer.tar",
-    "ResNet152_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet152_vd_infer.tar",
-    "ResNet200_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ResNet200_vd_infer.tar",
-    "PP-LCNet_x0_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNet_x0_25_infer.tar",
-    "PP-LCNet_x0_35": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNet_x0_35_infer.tar",
-    "PP-LCNet_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNet_x0_5_infer.tar",
-    "PP-LCNet_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNet_x0_75_infer.tar",
-    "PP-LCNet_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNet_x1_0_infer.tar",
-    "PP-LCNet_x1_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNet_x1_5_infer.tar",
-    "PP-LCNet_x2_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNet_x2_5_infer.tar",
-    "PP-LCNet_x2_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNet_x2_0_infer.tar",
-    "PP-LCNetV2_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNetV2_small_infer.tar",
-    "PP-LCNetV2_base": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNetV2_base_infer.tar",
-    "PP-LCNetV2_large": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PP-LCNetV2_large_infer.tar",
-    "MobileNetV3_large_x0_35": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "ResNet18": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet18_infer.tar",
+    "ResNet18_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet18_vd_infer.tar",
+    "ResNet34": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet34_infer.tar",
+    "ResNet34_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet34_vd_infer.tar",
+    "ResNet50": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet50_infer.tar",
+    "ResNet50_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet50_vd_infer.tar",
+    "ResNet101": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet101_infer.tar",
+    "ResNet101_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet101_vd_infer.tar",
+    "ResNet152": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet152_infer.tar",
+    "ResNet152_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet152_vd_infer.tar",
+    "ResNet200_vd": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet200_vd_infer.tar",
+    "PP-LCNet_x0_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNet_x0_25_infer.tar",
+    "PP-LCNet_x0_35": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNet_x0_35_infer.tar",
+    "PP-LCNet_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNet_x0_5_infer.tar",
+    "PP-LCNet_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNet_x0_75_infer.tar",
+    "PP-LCNet_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNet_x1_0_infer.tar",
+    "PP-LCNet_x1_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNet_x1_5_infer.tar",
+    "PP-LCNet_x2_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNet_x2_5_infer.tar",
+    "PP-LCNet_x2_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNet_x2_0_infer.tar",
+    "PP-LCNetV2_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNetV2_small_infer.tar",
+    "PP-LCNetV2_base": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNetV2_base_infer.tar",
+    "PP-LCNetV2_large": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LCNetV2_large_infer.tar",
+    "MobileNetV3_large_x0_35": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV3_large_x0_35_infer.tar",
-    "MobileNetV3_large_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV3_large_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV3_large_x0_5_infer.tar",
-    "MobileNetV3_large_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV3_large_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV3_large_x0_75_infer.tar",
-    "MobileNetV3_large_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV3_large_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV3_large_x1_0_infer.tar",
-    "MobileNetV3_large_x1_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV3_large_x1_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV3_large_x1_25_infer.tar",
-    "MobileNetV3_small_x0_35": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV3_small_x0_35": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV3_small_x0_35_infer.tar",
-    "MobileNetV3_small_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV3_small_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV3_small_x0_5_infer.tar",
-    "MobileNetV3_small_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV3_small_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV3_small_x0_75_infer.tar",
-    "MobileNetV3_small_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV3_small_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV3_small_x1_0_infer.tar",
-    "MobileNetV3_small_x1_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV3_small_x1_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV3_small_x1_25_infer.tar",
-    "ConvNeXt_tiny": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ConvNeXt_tiny_infer.tar",
-    "ConvNeXt_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ConvNeXt_small_infer.tar",
-    "ConvNeXt_base_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ConvNeXt_base_224_infer.tar",
-    "ConvNeXt_base_384": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ConvNeXt_base_384_infer.tar",
-    "ConvNeXt_large_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ConvNeXt_large_224_infer.tar",
-    "ConvNeXt_large_384": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/ConvNeXt_large_384_infer.tar",
-    "MobileNetV2_x0_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "ConvNeXt_tiny": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ConvNeXt_tiny_infer.tar",
+    "ConvNeXt_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ConvNeXt_small_infer.tar",
+    "ConvNeXt_base_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ConvNeXt_base_224_infer.tar",
+    "ConvNeXt_base_384": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ConvNeXt_base_384_infer.tar",
+    "ConvNeXt_large_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ConvNeXt_large_224_infer.tar",
+    "ConvNeXt_large_384": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ConvNeXt_large_384_infer.tar",
+    "MobileNetV2_x0_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV2_x0_25_infer.tar",
-    "MobileNetV2_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/MobileNetV2_x0_5_infer.tar",
-    "MobileNetV2_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/MobileNetV2_x1_0_infer.tar",
-    "MobileNetV2_x1_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/MobileNetV2_x1_5_infer.tar",
-    "MobileNetV2_x2_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/MobileNetV2_x2_0_infer.tar",
-    "MobileNetV1_x0_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV2_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/MobileNetV2_x0_5_infer.tar",
+    "MobileNetV2_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/MobileNetV2_x1_0_infer.tar",
+    "MobileNetV2_x1_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/MobileNetV2_x1_5_infer.tar",
+    "MobileNetV2_x2_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/MobileNetV2_x2_0_infer.tar",
+    "MobileNetV1_x0_25": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV1_x0_25_infer.tar",
-    "MobileNetV1_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV1_x0_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV1_x0_5_infer.tar",
-    "MobileNetV1_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV1_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV1_x0_75_infer.tar",
-    "MobileNetV1_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "MobileNetV1_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 MobileNetV1_x1_0_infer.tar",
-    "SwinTransformer_tiny_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "SwinTransformer_tiny_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 SwinTransformer_tiny_patch4_window7_224_infer.tar",
-    "SwinTransformer_small_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "SwinTransformer_small_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 SwinTransformer_small_patch4_window7_224_infer.tar",
-    "SwinTransformer_base_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "SwinTransformer_base_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 SwinTransformer_base_patch4_window7_224_infer.tar",
-    "SwinTransformer_base_patch4_window12_384": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "SwinTransformer_base_patch4_window12_384": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 SwinTransformer_base_patch4_window12_384_infer.tar",
-    "SwinTransformer_large_patch4_window7_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
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+    "CLIP_vit_base_patch16_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
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-    "CLIP_vit_large_patch14_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "CLIP_vit_large_patch14_224": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
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-    "Deeplabv3_Plus-R50": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
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+    "ResNet50_ML": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/ResNet50_ML_infer.tar",
+    "CLIP_vit_base_patch16_448_ML": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/CLIP_vit_base_patch16_448_ML_infer.tar",
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+    "PP-YOLOE_plus-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-YOLOE_plus-L_infer.tar",
+    "PP-YOLOE_plus-M": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-YOLOE_plus-M_infer.tar",
+    "PP-YOLOE_plus-S": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-YOLOE_plus-S_infer.tar",
+    "RT-DETR-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/RT-DETR-L_infer.tar",
+    "RT-DETR-H": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/RT-DETR-H_infer.tar",
+    "RT-DETR-X": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/RT-DETR-X_infer.tar",
+    "YOLOv3-DarkNet53": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/YOLOv3-DarkNet53_infer.tar",
+    "YOLOv3-MobileNetV3": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/YOLOv3-MobileNetV3_infer.tar",
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+    "YOLOX-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/YOLOX-L_infer.tar",
+    "YOLOX-M": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/YOLOX-M_infer.tar",
+    "YOLOX-N": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/YOLOX-N_infer.tar",
+    "YOLOX-S": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/YOLOX-S_infer.tar",
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+    "RT-DETR-R50": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/RT-DETR-R50_infer.tar",
+    "PicoDet-S": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PicoDet-S.tar",
+    "PicoDet-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PicoDet-L.tar",
+    "Deeplabv3-R50": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/Deeplabv3-R50_infer.tar",
+    "Deeplabv3-R101": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/Deeplabv3-R101_infer.tar",
+    "Deeplabv3_Plus-R50": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 Deeplabv3_Plus-R50_infer.tar",
-    "Deeplabv3_Plus-R101": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "Deeplabv3_Plus-R101": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
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-    "SegFormer-B0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/SegFormer-B0_infer.tar",
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-    "SegFormer-B2": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/SegFormer-B2_infer.tar",
-    "SegFormer-B3": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/SegFormer-B3_infer.tar",
-    "SegFormer-B4": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/SegFormer-B4_infer.tar",
-    "SegFormer-B5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/SegFormer-B5_infer.tar",
-    "SeaFormer_tiny": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/SeaFormer_tiny_infer.tar",
-    "SeaFormer_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/SeaFormer_small_infer.tar",
-    "SeaFormer_base": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/SeaFormer_base_infer.tar",
-    "SeaFormer_large": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/SeaFormer_large_infer.tar",
-    "Mask-RT-DETR-H": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/Mask-RT-DETR-H_infer.tar",
-    "Mask-RT-DETR-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/Mask-RT-DETR-L_infer.tar",
-    "PP-OCRv4_server_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "PP-LiteSeg-T": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PP-LiteSeg-T_infer.tar",
+    "OCRNet_HRNet-W48": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/OCRNet_HRNet-W48_infer.tar",
+    "OCRNet_HRNet-W18": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/OCRNet_HRNet-W18_infer.tar",
+    "SegFormer-B0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SegFormer-B0_infer.tar",
+    "SegFormer-B1": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SegFormer-B1_infer.tar",
+    "SegFormer-B2": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SegFormer-B2_infer.tar",
+    "SegFormer-B3": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SegFormer-B3_infer.tar",
+    "SegFormer-B4": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SegFormer-B4_infer.tar",
+    "SegFormer-B5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SegFormer-B5_infer.tar",
+    "SeaFormer_tiny": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SeaFormer_tiny_infer.tar",
+    "SeaFormer_small": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SeaFormer_small_infer.tar",
+    "SeaFormer_base": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SeaFormer_base_infer.tar",
+    "SeaFormer_large": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SeaFormer_large_infer.tar",
+    "Mask-RT-DETR-H": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/Mask-RT-DETR-H_infer.tar",
+    "Mask-RT-DETR-L": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/Mask-RT-DETR-L_infer.tar",
+    "PP-OCRv4_server_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 PP-OCRv4_server_rec_infer.tar",
-    "PP-OCRv4_mobile_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "PP-OCRv4_mobile_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 PP-OCRv4_mobile_rec_infer.tar",
-    "PP-OCRv4_server_det": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "PP-OCRv4_server_det": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 PP-OCRv4_server_det_infer.tar",
-    "PP-OCRv4_mobile_det": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "PP-OCRv4_mobile_det": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 PP-OCRv4_mobile_det_infer.tar",
-    "RepSVTR_mobile_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "RepSVTR_mobile_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 openatom_rec_repsvtr_ch_infer.tar",
-    "SVTRv2_server_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/\
+    "SVTRv2_server_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/\
 openatom_rec_svtrv2_ch_infer.tar",
-    "PicoDet_layout_1x": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/PicoDet-L_layout_infer.tar",
-    "SLANet": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/SLANet_infer.tar",
-    "LaTeX_OCR_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0/LaTeX_OCR_rec_infer.tar",
+    "PicoDet_layout_1x": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/PicoDet-L_layout_infer.tar",
+    "SLANet": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/SLANet_infer.tar",
+    "LaTeX_OCR_rec": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1/LaTeX_OCR_rec_infer.tar",
 }
 
 

paddlex/modules/image_classification/exportor.py

@@ -13,10 +13,16 @@
 # limitations under the License.
 
 from ..base import BaseExportor
-from .model_list import MODELS
+from .model_list import MODELS, ML_MODELS
 
 
 class ClsExportor(BaseExportor):
     """Image Classification Model Exportor"""
 
     entities = MODELS
+
+
+class MlClsExportor(BaseExportor):
+    """Image Classification Model Exportor"""
+
+    entities = ML_MODELS

paddlex/repo_apis/PaddleClas_api/configs/CLIP_vit_base_patch16_448_ML.yaml

@@ -27,6 +27,10 @@ AMP:
   # O1: mixed fp16, O2: pure fp16
   level: O2
 
+# model ema
+EMA:
+  decay: 0.9997
+
 # model architecture
 Arch:
   name: CLIP_vit_base_patch16_224
@@ -157,7 +161,7 @@ Infer:
   PostProcess:
     name: MultiLabelThreshOutput
     threshold: 0.5
-    class_id_map_file: dataset/coco_ml/label.txt
+    class_id_map_file: ppcls/utils/COCO2017_label_list.txt
 
 Metric:
   Train:

paddlex/repo_apis/PaddleClas_api/configs/PP-HGNetV2-B0_ML.yaml

@@ -27,6 +27,10 @@ AMP:
   # O1: mixed fp16, O2: pure fp16
   level: O1
 
+# model ema
+EMA:
+  decay: 0.9997
+
 # model architecture
 Arch:
   name: PPHGNetV2_B0
@@ -153,7 +157,7 @@ Infer:
   PostProcess:
     name: MultiLabelThreshOutput
     threshold: 0.5
-    class_id_map_file: dataset/coco_ml/label.txt
+    class_id_map_file: ppcls/utils/COCO2017_label_list.txt
 
 Metric:
   Train:

paddlex/repo_apis/PaddleClas_api/configs/PP-HGNetV2-B4_ML.yaml

@@ -27,6 +27,10 @@ AMP:
   # O1: mixed fp16, O2: pure fp16
   level: O1
 
+# model ema
+EMA:
+  decay: 0.9997
+
 # model architecture
 Arch:
   name: PPHGNetV2_B4
@@ -153,7 +157,7 @@ Infer:
   PostProcess:
     name: MultiLabelThreshOutput
     threshold: 0.5
-    class_id_map_file: dataset/coco_ml/label.txt
+    class_id_map_file: ppcls/utils/COCO2017_label_list.txt
 
 Metric:
   Train:

paddlex/repo_apis/PaddleClas_api/configs/PP-HGNetV2-B6_ML.yaml

@@ -27,6 +27,10 @@ AMP:
   # O1: mixed fp16, O2: pure fp16
   level: O1
 
+# model ema
+EMA:
+  decay: 0.9997
+
 # model architecture
 Arch:
   name: PPHGNetV2_B6
@@ -153,7 +157,7 @@ Infer:
   PostProcess:
     name: MultiLabelThreshOutput
     threshold: 0.5
-    class_id_map_file: dataset/coco_ml/label.txt
+    class_id_map_file: ppcls/utils/COCO2017_label_list.txt
 
 Metric:
   Train:

paddlex/repo_apis/PaddleClas_api/configs/PP-LCNet_x1_0_ML.yaml

@@ -27,6 +27,10 @@ AMP:
   # O1: mixed fp16, O2: pure fp16
   level: O1
 
+# model ema
+EMA:
+  decay: 0.9997
+
 # model architecture
 Arch:
   name: PPLCNet_x1_0
@@ -155,7 +159,7 @@ Infer:
   PostProcess:
     name: MultiLabelThreshOutput
     threshold: 0.5
-    class_id_map_file: dataset/coco_ml/label.txt
+    class_id_map_file: ppcls/utils/COCO2017_label_list.txt
 
 Metric:
   Train:

paddlex/repo_apis/PaddleClas_api/configs/ResNet50_ML.yaml

@@ -27,6 +27,10 @@ AMP:
   # O1: mixed fp16, O2: pure fp16
   level: O1
 
+# model ema
+EMA:
+  decay: 0.9997
+
 # model architecture
 Arch:
   name: ResNet50
@@ -153,7 +157,7 @@ Infer:
   PostProcess:
     name: MultiLabelThreshOutput
     threshold: 0.5
-    class_id_map_file: dataset/coco_ml/label.txt
+    class_id_map_file: ppcls/utils/COCO2017_label_list.txt
 
 Metric:
   Train: