{"id":16270701,"url":"https://github.com/jintao-huang/efficientnet_pytorch","last_synced_at":"2025-10-02T19:31:45.415Z","repository":{"id":97913951,"uuid":"263862240","full_name":"Jintao-Huang/EfficientNet_PyTorch","owner":"Jintao-Huang","description":"实现风格与torchvision.models中的网络类似","archived":false,"fork":false,"pushed_at":"2021-05-30T12:34:46.000Z","size":988,"stargazers_count":11,"open_issues_count":1,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-12T21:33:30.154Z","etag":null,"topics":["efficientnet","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Jintao-Huang.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2020-05-14T08:47:07.000Z","updated_at":"2022-05-19T11:59:35.000Z","dependencies_parsed_at":null,"dependency_job_id":"de5d78df-0a12-4418-8194-22f4e86b0ece","html_url":"https://github.com/Jintao-Huang/EfficientNet_PyTorch","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Jintao-Huang%2FEfficientNet_PyTorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Jintao-Huang%2FEfficientNet_PyTorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Jintao-Huang%2FEfficientNet_PyTorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Jintao-Huang%2FEfficientNet_PyTorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Jintao-Huang","download_url":"https://codeload.github.com/Jintao-Huang/EfficientNet_PyTorch/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":235039188,"owners_count":18926298,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["efficientnet","pytorch"],"created_at":"2024-10-10T18:11:12.700Z","updated_at":"2025-10-02T19:31:40.059Z","avatar_url":"https://github.com/Jintao-Huang.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# efficientnet_pytorch\n实现风格与`torchvision.models`中其他网络的类似  \n(The implementation style is similar to other networks in `torchvision.models`)\n\n\n## Reference\n1. 论文(paper):  \n[https://arxiv.org/pdf/1905.11946.pdf](https://arxiv.org/pdf/1905.11946.pdf)  \n\n2. 代码参考(reference code):  \n[https://github.com/lukemelas/EfficientNet-PyTorch](https://github.com/lukemelas/EfficientNet-PyTorch)  \n\n3. 使用的预训练模型来源(Source of the pre-training model used):   \n[https://github.com/lukemelas/EfficientNet-PyTorch](https://github.com/lukemelas/EfficientNet-PyTorch)  \n由于我对模型进行了调整，所以我修改了原预训练模型的state_dict的key值，并进行了发布.  \nSince I adjusted the model, I modified the state_dict key value of the original pretraining model and release it.  \n\n权重见 release. 或在百度云中下载:  \n链接：[https://pan.baidu.com/s/1HzAZZoJNIoii7uDsnPExHQ](https://pan.baidu.com/s/1HzAZZoJNIoii7uDsnPExHQ)  \n提取码：4sb5\n\n4. labels_map.txt来源(Source of labels_map.txt):  \n[https://github.com/lukemelas/EfficientNet-PyTorch/blob/master/examples/simple/labels_map.txt](https://github.com/lukemelas/EfficientNet-PyTorch/blob/master/examples/simple/labels_map.txt)\n\n## 使用方式(How to use)\n#### 1. 预测图片(Predict images)\n```\npython3 std_pred_image.py\n```\n\n#### 2. 简单的训练例子(Simple training examples)\n\n```\npython3 train_example.py\n```\n\n#### 3. train\n```\npython3 make_dataset.py\npython3 train.py\npython3 pred_image.py\n```\n\n## 性能\n\n见`docs/`文件夹  \n\n## 运行环境(environment)\n\ntorch 1.8.1  \ntorchvision 0.9.0  ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjintao-huang%2Fefficientnet_pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjintao-huang%2Fefficientnet_pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjintao-huang%2Fefficientnet_pytorch/lists"}