1:说在前面
部分输入网页直接开始下载,一些是自己训练后的模型。
2.resnet权重文件下载地址：
2.1resnet18:
https://download.pytorch.org/models/resnet18-5c106cde.pth
2.2resnet34:
https://download.pytorch.org/models/resnet34-333f7ec4.pth
2.3resnet50:
https://download.pytorch.org/models/resnet50-19c8e357.pth
2.4resnet101:
https://download.pytorch.org/models/resnet101-5d3b4d8f.pth
2.5resnet152:
https://download.pytorch.org/models/resnet152-b121ed2d.pth
2.6resnet50.pkl下载地址：
https://drive.google.com/u/0/uc?id=1BOdAkUbD7sqihaDJekB4XJMqB2fE6aNc&export=download
2.7自己训练后的权重文件：
resnet34_6种花分类：数据集如图
resnet50_5Celebruty_Faces_dataset:
pytorch框架下训练后的权重文件下载后可以直接识别，无须训练。
（下载地址包含了自己经常使用的权重文件，以后会有更新关于resnet的相关文件。）
下载地址：
链接：https://pan.baidu.com/s/1SxPcuWd1yZctecgT3279aw
提取码：summ
3.ConvNet预训练模型
https://dl.fbaipublicfiles.com/convnext/convnext_tiny_1k_224_ema.pth
https://dl.fbaipublicfiles.com/convnext/convnext_small_1k_224_ema.pth
https://dl.fbaipublicfiles.com/convnext/convnext_base_1k_224_ema.pth
https://dl.fbaipublicfiles.com/convnext/convnext_base_22k_224.pth
https://dl.fbaipublicfiles.com/convnext/convnext_large_1k_224_ema.pth
https://dl.fbaipublicfiles.com/convnext/convnext_large_22k_224.pth
https://dl.fbaipublicfiles.com/convnext/convnext_xlarge_22k_224.pth
4.swin-Transformer预训练模型
https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth
https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_small_patch4_window7_224.pth
https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window7_224.pth
https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window12_384.pth
https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window7_224_22k.pth
https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window12_384_22k.pth
https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth
https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window12_384_22k.pth
参考文献：
【1】GitHub – pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration
【2】pytorch 中pkl和pth的区别？_AI界扛把子的博客-CSDN博客_pkl和pth
Original: https://blog.csdn.net/weixin_44649780/article/details/124160893
Author: 夏天｜여름이다
Title: ❀资源帖❀ResNet，ConvNeXt,Transformer预训练模型等
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