[{"title":"( 34 个子文件 1.77MB ) EfficientNet-PyTorch:EfficientNet和EfficientNetV2的PyTorch实现(即将推出!)","children":[{"title":"EfficientNet-PyTorch-master","children":[{"title":"sotabench.py <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":".github","children":[{"title":"workflows","children":[{"title":"main.yml <span style='color:#111;'> 463B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"tests","children":[{"title":"test_model.py <span style='color:#111;'> 4.03KB </span>","children":null,"spread":false}],"spread":true},{"title":"tf_to_pytorch","children":[{"title":"convert_tf_to_pt","children":[{"title":"run.sh <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"original_tf","children":[{"title":"preprocessing.py <span style='color:#111;'> 9.29KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 15.37KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"eval_ckpt_main.py <span style='color:#111;'> 8.44KB </span>","children":null,"spread":false},{"title":"efficientnet_model.py <span style='color:#111;'> 25.42KB </span>","children":null,"spread":false},{"title":"eval_ckpt_main_tf1.py <span style='color:#111;'> 8.32KB </span>","children":null,"spread":false},{"title":"efficientnet_builder.py <span style='color:#111;'> 11.53KB </span>","children":null,"spread":false}],"spread":true},{"title":"rename.sh <span style='color:#111;'> 148B </span>","children":null,"spread":false},{"title":"load_tf_weights.py <span style='color:#111;'> 10.17KB </span>","children":null,"spread":false},{"title":"download.sh <span style='color:#111;'> 630B </span>","children":null,"spread":false},{"title":"load_tf_weights_tf1.py <span style='color:#111;'> 10.10KB </span>","children":null,"spread":false}],"spread":true},{"title":"pretrained_tensorflow","children":[{"title":"download.sh <span style='color:#111;'> 517B </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 1012B </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 11.09KB </span>","children":null,"spread":false},{"title":"examples","children":[{"title":"simple","children":[{"title":"img2.jpg <span style='color:#111;'> 16.97KB </span>","children":null,"spread":false},{"title":"labels_map.txt <span style='color:#111;'> 30.83KB </span>","children":null,"spread":false},{"title":"img.jpg <span style='color:#111;'> 113.35KB </span>","children":null,"spread":false},{"title":"example.ipynb <span style='color:#111;'> 1.04MB </span>","children":null,"spread":false},{"title":"check.ipynb <span style='color:#111;'> 1.04MB </span>","children":null,"spread":false}],"spread":true},{"title":"imagenet","children":[{"title":"main.py <span style='color:#111;'> 16.71KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"README.md <span style='color:#111;'> 219B </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"setup.py <span style='color:#111;'> 3.47KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"sotabench_setup.sh <span style='color:#111;'> 179B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 11.96KB </span>","children":null,"spread":false},{"title":"hubconf.py <span style='color:#111;'> 1.67KB </span>","children":null,"spread":false},{"title":"efficientnet_pytorch","children":[{"title":"utils.py <span style='color:#111;'> 24.37KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 182B </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 16.98KB </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]