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
- Oscillation in the train loss on multiple GPUs
- (nit) Fix <Tip> style in docs
- Test hf_doc_builder from PR
- [FEATURE] Load model config AND weights from local folder (support locally cloned HF hub models)
- OmniVec:Learning robust representations with cross modal sharing
- [FEATURE] Addition of UniRepLKNet Backbones
- Add --dataset-trust-remote-code to the train.py and validate.py scripts
- [BUG] model that has LayerScale architecture will have its '.gamma' renamed to '.weight' in transformers library resulting in incompatible loading
- [BUG] inference.py expects labeled subfolders in the --data-dir folder
- Use args.class_map for labels in inference.py
- Docs
- Python not yet supported