Skip to content

Release v0.9.16

Latest
Latest
Compare
Choose a tag to compare
@rwightman rwightman released this 19 Feb 19:35
· 49 commits to main since this release
v0.9.16
6e6f368
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Learn about vigilant mode.

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
Assets 2