polish download pretrain

configs/pretrained.list

-- ResNet18
-- ResNet34
-- ResNet50
-- ResNet101
-- ResNet152
-- ResNet50_vc
-- ResNet18_vd
-- ResNet34_vd
-- ResNet50_vd
-- ResNet50_vd_v2
-- ResNet101_vd
-- ResNet152_vd
-- ResNet200_vd
-- ResNet50_vd_ssld
-- MobileNetV3_large_x0_35
-- MobileNetV3_large_x0_5
-- MobileNetV3_large_x0_75
-- MobileNetV3_large_x1_0
-- MobileNetV3_large_x1_25
-- MobileNetV3_small_x0_35
-- MobileNetV3_small_x0_5
-- MobileNetV3_small_x0_75
-- MobileNetV3_small_x1_0
-- MobileNetV3_small_x1_25
-- MobileNetV3_large_x1_0_ssld
-- MobileNetV3_large_x1_0_ssld_int8
-- MobileNetV3_small_x1_0_ssld
-- MobileNetV2_x0_25
-- MobileNetV2_x0_5
-- MobileNetV2_x0_75
-- MobileNetV2
-- MobileNetV2_x1_5
-- MobileNetV2_x2_0
-- MobileNetV2_ssld
-- MobileNetV1_x0_25
-- MobileNetV1_x0_5
-- MobileNetV1_x0_75
-- MobileNetV1
-- MobileNetV1_ssld
-- ShuffleNetV2_x0_25
-- ShuffleNetV2_x0_33
-- ShuffleNetV2_x0_5
-- ShuffleNetV2
-- ShuffleNetV2_x1_5
-- ShuffleNetV2_x2_0
-- ShuffleNetV2_swish
-- ResNeXt50_32x4d
-- ResNeXt50_64x4d
-- ResNeXt101_32x4d
-- ResNeXt101_64x4d
-- ResNeXt152_32x4d
-- ResNeXt152_64x4d
-- ResNeXt50_vd_32x4d
-- ResNeXt50_vd_64x4d
-- ResNeXt101_vd_32x4d
-- ResNeXt101_vd_64x4d
-- ResNeXt152_vd_32x4d
-- ResNeXt152_vd_64x4d
-- SE_ResNet18_vd
-- SE_ResNet34_vd
-- SE_ResNet50_vd
-- SE_ResNeXt50_32x4d
-- SE_ResNeXt101_32x4d
-- SE_ResNeXt50_vd_32x4d
-- SENet154_vd
-- Res2Net50_26w_4s
-- Res2Net50_vd_26w_4s
-- Res2Net50_14w_8s
-- Res2Net101_vd_26w_4s
-- Res2Net200_vd_26w_4s
-- GoogLeNet
-- InceptionV4
-- Xception41
-- Xception41_deeplab
-- Xception65
-- Xception65_deeplab
-- Xception71
-- HRNet_W18_C
-- HRNet_W30_C
-- HRNet_W32_C
-- HRNet_W40_C
-- HRNet_W44_C
-- HRNet_W48_C
-- HRNet_W64_C
-- DPN68
-- DPN92
-- DPN98
-- DPN107
-- DPN131
-- DenseNet121
-- DenseNet161
-- DenseNet169
-- DenseNet201
-- DenseNet264
-- EfficientNetB0_small
-- EfficientNetB0
-- EfficientNetB1
-- EfficientNetB2
-- EfficientNetB3
-- EfficientNetB4
-- EfficientNetB5
-- EfficientNetB6
-- EfficientNetB7
-- ResNeXt101_32x8d_wsl
-- ResNeXt101_32x16d_wsl
-- ResNeXt101_32x32d_wsl
-- ResNeXt101_32x48d_wsl
-- Fix_ResNeXt101_32x48d_wsl
-- AlexNet
-- SqueezeNet1_0
-- SqueezeNet1_1
-- VGG11
-- VGG13
-- VGG16
-- VGG19
-- DarkNet53
-- ResNet50_ACNet_deploy
+ResNet18
+ResNet34
+ResNet50
+ResNet101
+ResNet152
+ResNet50_vc
+ResNet18_vd
+ResNet34_vd
+ResNet50_vd
+ResNet50_vd_v2
+ResNet101_vd
+ResNet152_vd
+ResNet200_vd
+ResNet50_vd_ssld
+MobileNetV3_large_x0_35
+MobileNetV3_large_x0_5
+MobileNetV3_large_x0_75
+MobileNetV3_large_x1_0
+MobileNetV3_large_x1_25
+MobileNetV3_small_x0_35
+MobileNetV3_small_x0_5
+MobileNetV3_small_x0_75
+MobileNetV3_small_x1_0
+MobileNetV3_small_x1_25
+MobileNetV3_large_x1_0_ssld
+MobileNetV3_large_x1_0_ssld_int8
+MobileNetV3_small_x1_0_ssld
+MobileNetV2_x0_25
+MobileNetV2_x0_5
+MobileNetV2_x0_75
+MobileNetV2
+MobileNetV2_x1_5
+MobileNetV2_x2_0
+MobileNetV2_ssld
+MobileNetV1_x0_25
+MobileNetV1_x0_5
+MobileNetV1_x0_75
+MobileNetV1
+MobileNetV1_ssld
+ShuffleNetV2_x0_25
+ShuffleNetV2_x0_33
+ShuffleNetV2_x0_5
+ShuffleNetV2
+ShuffleNetV2_x1_5
+ShuffleNetV2_x2_0
+ShuffleNetV2_swish
+ResNeXt50_32x4d
+ResNeXt50_64x4d
+ResNeXt101_32x4d
+ResNeXt101_64x4d
+ResNeXt152_32x4d
+ResNeXt152_64x4d
+ResNeXt50_vd_32x4d
+ResNeXt50_vd_64x4d
+ResNeXt101_vd_32x4d
+ResNeXt101_vd_64x4d
+ResNeXt152_vd_32x4d
+ResNeXt152_vd_64x4d
+SE_ResNet18_vd
+SE_ResNet34_vd
+SE_ResNet50_vd
+SE_ResNeXt50_32x4d
+SE_ResNeXt101_32x4d
+SE_ResNeXt50_vd_32x4d
+SENet154_vd
+Res2Net50_26w_4s
+Res2Net50_vd_26w_4s
+Res2Net50_14w_8s
+Res2Net101_vd_26w_4s
+Res2Net200_vd_26w_4s
+GoogLeNet
+InceptionV4
+Xception41
+Xception41_deeplab
+Xception65
+Xception65_deeplab
+Xception71
+HRNet_W18_C
+HRNet_W30_C
+HRNet_W32_C
+HRNet_W40_C
+HRNet_W44_C
+HRNet_W48_C
+HRNet_W64_C
+DPN68
+DPN92
+DPN98
+DPN107
+DPN131
+DenseNet121
+DenseNet161
+DenseNet169
+DenseNet201
+DenseNet264
+EfficientNetB0_small
+EfficientNetB0
+EfficientNetB1
+EfficientNetB2
+EfficientNetB3
+EfficientNetB4
+EfficientNetB5
+EfficientNetB6
+EfficientNetB7
+ResNeXt101_32x8d_wsl
+ResNeXt101_32x16d_wsl
+ResNeXt101_32x32d_wsl
+ResNeXt101_32x48d_wsl
+Fix_ResNeXt101_32x48d_wsl
+AlexNet
+SqueezeNet1_0
+SqueezeNet1_1
+VGG11
+VGG13
+VGG16
+VGG19
+DarkNet53
+ResNet50_ACNet_deploy

ppcls/utils/check.py

@@ -20,6 +20,7 @@ import sys
 
 import paddle.fluid as fluid
 
+from ppcls.modeling import get_architectures
 from ppcls.modeling import similar_architectures
 from ppcls.utils import logger
 

ppcls/utils/model_zoo.py

@@ -25,7 +25,6 @@ import zipfile
 
 from ppcls.modeling import similar_architectures
 from ppcls.utils.check import check_architecture
-from ppcls.utils.config import get_config
 from ppcls.utils import logger
 
 __all__ = ['get']
@@ -172,7 +171,9 @@ def _decompress(fname):
 def _check_pretrained_name(architecture):
     assert isinstance(architecture, str), \
             ("the type of architecture({}) should be str". format(architecture))
-    similar_names = similar_architectures(architecture, get_config('../../../configs/pretrained.list'))
+    with open('./configs/pretrained.list') as flist:
+        pretrained = [line.strip() for line in flist]
+    similar_names = similar_architectures(architecture, pretrained)
     model_list = ', '.join(similar_names)
     err = "{} is not exist! Maybe you want: [{}]" \
           "".format(architecture, model_list)