pytorch-image-models
https://github.com/huggingface/pytorch-image-models
Python
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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- Issues
- refine build_fourier_pos_embed() to use precomputed bands
- [FEATURE] 3D model support for volumetric / medical imaging in timm
- [Bug] FSDP FULL_SHARD incorrectly rejects timm models with features_only=True (FeatureListNet) due to overly-strict nn.ModuleDict inheritance check
- [BUG] naflexvit_so400m_patch16_siglip has undocumented different default pos_embed_interp_mode of "bicubic" instead of "bilinear"
- Refactor DPN model
- updated reader_factory to correct extra folders
- [FEATURE] timm.models.adapt_input_conv: beyond RGB weights
- Add T2T_ViT
- Inference.py script is not returning the custom labels on test images
- Implement labels argument for create_dataset (and downstream functions)
- Docs
- Python not yet supported