diff --git a/README.md b/README.md
index 4cc414d..4313627 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ who maintains SOTA deep-learning models and tools in computer vision.
 
 ## Code Example
 
-Load an image from path './towhee.jpg'
+Load an image from path './towhee.jpeg'
 and use the pre-trained ResNet50 model ('resnet50') to generate an image embedding.
 
  *Write the pipeline in simplified style:*
@@ -23,7 +23,7 @@ and use the pre-trained ResNet50 model ('resnet50') to generate an image embeddi
 ```python
 import towhee
 
-towhee.glob('./towhee.jpg') \
+towhee.glob('./towhee.jpeg') \
       .image_decode() \
       .image_embedding.timm(model_name='resnet50') \
       .show()
@@ -35,7 +35,7 @@ towhee.glob('./towhee.jpg') \
 ```python
 import towhee
 
-towhee.glob['path']('./towhee.jpg') \
+towhee.glob['path']('./towhee.jpeg') \
       .image_decode['path', 'img']() \
       .image_embedding.timm['img', 'vec'](model_name='resnet50') \
       .select['img', 'vec']() \
diff --git a/test_onnx.py b/test_onnx.py
index a1a5684..50d5ada 100644
--- a/test_onnx.py
+++ b/test_onnx.py
@@ -7,74 +7,74 @@ f.write('model_name, run_op, save_onnx, check_onnx\n')
 
 # models = TimmImage.supported_model_names()[:1]
 models = [
-    # 'vgg11',
+    'vgg11',
     'resnet18',
-    # 'resnetv2_50',
-    # 'seresnet33ts',
-    # 'skresnet18',
-    # 'resnext26ts',
-    # 'seresnext26d_32x4d',
-    # 'skresnext50_32x4d',
-    # 'convit_base',
-    # 'inception_v4',
-    # 'efficientnet_b0',
+    'resnetv2_50',
+    'seresnet33ts',
+    'skresnet18',
+    'resnext26ts',
+    'seresnext26d_32x4d',
+    'skresnext50_32x4d',
+    'convit_base',
+    'inception_v4',
+    'efficientnet_b0',
     'tf_efficientnet_b0',
-    # 'swin_base_patch4_window7_224',
-    # 'vit_base_patch8_224',
-    # 'beit_base_patch16_224',
-    # 'convnext_base',
-    # 'crossvit_9_240',
-    # 'convmixer_768_32',
-    # 'coat_lite_mini',
-    # 'inception_v3',
-    # 'cait_m36_384',
-    # 'cspdarknet53',
-    # 'deit_base_distilled_patch16_224',
-    # 'densenet121',
-    # 'dla34',
-    # 'dm_nfnet_f0',
-    # 'nf_regnet_b1',
-    # 'nf_resnet50',
-    # 'dpn68',
-    # 'ese_vovnet19b_dw',
-    # 'fbnetc_100',
-    # 'fbnetv3_b',
-    # 'halonet26t',
-    # 'eca_halonext26ts',
-    # 'sehalonet33ts',
-    # 'hardcorenas_a',
-    # 'hrnet_w18',
-    # 'jx_nest_base',
-    # 'lcnet_050',
-    # 'levit_128',
-    # 'mixer_b16_224',
-    # 'mixnet_s',
-    # 'mnasnet_100',
-    # 'mobilenetv2_050',
-    # 'mobilenetv3_large_100',
-    # 'nasnetalarge',
-    # 'pit_b_224',
-    # 'pnasnet5large',
-    # 'regnetx_002',
-    # 'repvgg_a2',
-    # 'res2net50_14w_8s',
-    # 'res2next50',
-    # 'resmlp_12_224',
-    # 'resnest14d',
-    # 'rexnet_100',
-    # 'selecsls42b',
-    # 'semnasnet_075',
-    # 'tinynet_a',
-    # 'tnt_s_patch16_224',
-    # 'tresnet_l',
-    # 'twins_pcpvt_base',
-    # 'visformer_small',
-    # 'xception',
-    # 'xcit_large_24_p8_224',
-    # 'ghostnet_100',
-    # 'gmlp_s16_224',
-    # 'lambda_resnet26rpt_256',
-    # 'spnasnet_100',
+    'swin_base_patch4_window7_224',
+    'vit_base_patch8_224',
+    'beit_base_patch16_224',
+    'convnext_base',
+    'crossvit_9_240',
+    'convmixer_768_32',
+    'coat_lite_mini',
+    'inception_v3',
+    'cait_m36_384',
+    'cspdarknet53',
+    'deit_base_distilled_patch16_224',
+    'densenet121',
+    'dla34',
+    'dm_nfnet_f0',
+    'nf_regnet_b1',
+    'nf_resnet50',
+    'dpn68',
+    'ese_vovnet19b_dw',
+    'fbnetc_100',
+    'fbnetv3_b',
+    'halonet26t',
+    'eca_halonext26ts',
+    'sehalonet33ts',
+    'hardcorenas_a',
+    'hrnet_w18',
+    'jx_nest_base',
+    'lcnet_050',
+    'levit_128',
+    'mixer_b16_224',
+    'mixnet_s',
+    'mnasnet_100',
+    'mobilenetv2_050',
+    'mobilenetv3_large_100',
+    'nasnetalarge',
+    'pit_b_224',
+    'pnasnet5large',
+    'regnetx_002',
+    'repvgg_a2',
+    'res2net50_14w_8s',
+    'res2next50',
+    'resmlp_12_224',
+    'resnest14d',
+    'rexnet_100',
+    'selecsls42b',
+    'semnasnet_075',
+    'tinynet_a',
+    'tnt_s_patch16_224',
+    'tresnet_l',
+    'twins_pcpvt_base',
+    'visformer_small',
+    'xception',
+    'xcit_large_24_p8_224',
+    'ghostnet_100',
+    'gmlp_s16_224',
+    'lambda_resnet26rpt_256',
+    'spnasnet_100',
 ]
 
 decoder = ops.image_decode()
diff --git a/test_torchscript.py b/test_torchscript.py
index 2461a4f..b29d288 100644
--- a/test_torchscript.py
+++ b/test_torchscript.py
@@ -7,74 +7,74 @@ f.write('model_name,run_op,save_torchscript,check_result\n')
 
 # models = TimmImage.supported_model_names()[:1]
 models = [
-    # 'vgg11',
+    'vgg11',
     'resnet18',
-    # 'resnetv2_50',
-    # 'seresnet33ts',
-    # 'skresnet18',
-    # 'resnext26ts',
-    # 'seresnext26d_32x4d',
-    # 'skresnext50_32x4d',
-    # 'convit_base',
-    # 'inception_v4',
-    # 'efficientnet_b0',
+    'resnetv2_50',
+    'seresnet33ts',
+    'skresnet18',
+    'resnext26ts',
+    'seresnext26d_32x4d',
+    'skresnext50_32x4d',
+    'convit_base',
+    'inception_v4',
+    'efficientnet_b0',
     'tf_efficientnet_b0',
-    # 'swin_base_patch4_window7_224',
-    # 'vit_base_patch8_224',
-    # 'beit_base_patch16_224',
-    # 'convnext_base',
-    # 'crossvit_9_240',
-    # 'convmixer_768_32',
-    # 'coat_lite_mini',
-    # 'inception_v3',
-    # 'cait_m36_384',
-    # 'cspdarknet53',
-    # 'deit_base_distilled_patch16_224',
-    # 'densenet121',
-    # 'dla34',
-    # 'dm_nfnet_f0',
-    # 'nf_regnet_b1',
-    # 'nf_resnet50',
-    # 'dpn68',
-    # 'ese_vovnet19b_dw',
-    # 'fbnetc_100',
-    # 'fbnetv3_b',
-    # 'halonet26t',
-    # 'eca_halonext26ts',
-    # 'sehalonet33ts',
-    # 'hardcorenas_a',
-    # 'hrnet_w18',
-    # 'jx_nest_base',
-    # 'lcnet_050',
-    # 'levit_128',
-    # 'mixer_b16_224',
-    # 'mixnet_s',
-    # 'mnasnet_100',
-    # 'mobilenetv2_050',
-    # 'mobilenetv3_large_100',
-    # 'nasnetalarge',
-    # 'pit_b_224',
-    # 'pnasnet5large',
-    # 'regnetx_002',
-    # 'repvgg_a2',
-    # 'res2net50_14w_8s',
-    # 'res2next50',
-    # 'resmlp_12_224',
-    # 'resnest14d',
-    # 'rexnet_100',
-    # 'selecsls42b',
-    # 'semnasnet_075',
-    # 'tinynet_a',
-    # 'tnt_s_patch16_224',
-    # 'tresnet_l',
-    # 'twins_pcpvt_base',
-    # 'visformer_small',
-    # 'xception',
-    # 'xcit_large_24_p8_224',
-    # 'ghostnet_100',
-    # 'gmlp_s16_224',
-    # 'lambda_resnet26rpt_256',
-    # 'spnasnet_100',
+    'swin_base_patch4_window7_224',
+    'vit_base_patch8_224',
+    'beit_base_patch16_224',
+    'convnext_base',
+    'crossvit_9_240',
+    'convmixer_768_32',
+    'coat_lite_mini',
+    'inception_v3',
+    'cait_m36_384',
+    'cspdarknet53',
+    'deit_base_distilled_patch16_224',
+    'densenet121',
+    'dla34',
+    'dm_nfnet_f0',
+    'nf_regnet_b1',
+    'nf_resnet50',
+    'dpn68',
+    'ese_vovnet19b_dw',
+    'fbnetc_100',
+    'fbnetv3_b',
+    'halonet26t',
+    'eca_halonext26ts',
+    'sehalonet33ts',
+    'hardcorenas_a',
+    'hrnet_w18',
+    'jx_nest_base',
+    'lcnet_050',
+    'levit_128',
+    'mixer_b16_224',
+    'mixnet_s',
+    'mnasnet_100',
+    'mobilenetv2_050',
+    'mobilenetv3_large_100',
+    'nasnetalarge',
+    'pit_b_224',
+    'pnasnet5large',
+    'regnetx_002',
+    'repvgg_a2',
+    'res2net50_14w_8s',
+    'res2next50',
+    'resmlp_12_224',
+    'resnest14d',
+    'rexnet_100',
+    'selecsls42b',
+    'semnasnet_075',
+    'tinynet_a',
+    'tnt_s_patch16_224',
+    'tresnet_l',
+    'twins_pcpvt_base',
+    'visformer_small',
+    'xception',
+    'xcit_large_24_p8_224',
+    'ghostnet_100',
+    'gmlp_s16_224',
+    'lambda_resnet26rpt_256',
+    'spnasnet_100',
 ]
 
 decoder = ops.image_decode()