Feb 19, 2024

• Next-ViT models added. Adapted from https://github.com/bytedance/Next-ViT
• HGNet and PP-HGNetV2 models added. Adapted from https://github.com/PaddlePaddle/PaddleClas by SeeFun
• Removed setup.py, moved to pyproject.toml based build supported by PDM
• Add updated model EMA impl using _for_each for less overhead
• Support device args in train script for non GPU devices
• Other misc fixes and small additions
• Min supported Python version increased to 3.8
• Release 0.9.16

Jan 8, 2024

Datasets & transform refactoring

• HuggingFace streaming (iterable) dataset support (--dataset hfids:org/dataset)
• Webdataset wrapper tweaks for improved split info fetching, can auto fetch splits from supported HF hub webdataset
• Tested HF datasets and webdataset wrapper streaming from HF hub with recent timm ImageNet uploads to https://huggingface.co/timm
• Make input & target column/field keys consistent across datasets and pass via args
• Full monochrome support when using e:g: --input-size 1 224 224 or --in-chans 1, sets PIL image conversion appropriately in dataset
• Improved several alternate crop & resize transforms (ResizeKeepRatio, RandomCropOrPad, etc) for use in PixParse document AI project
• Add SimCLR style color jitter prob along with grayscale and gaussian blur options to augmentations and args
• Allow train without validation set (--val-split '') in train script
• Add --bce-sum (sum over class dim) and --bce-pos-weight (positive weighting) args for training as they're common BCE loss tweaks I was often hard coding