v0.4.5. Lots of models. NFNets (& NF-ResNet, NF-RegNet), GPU-Efficient Nets, RepVGG, VGG.

Merge pull request #475 from rwightman/pre-release/0.4.5

Prep for PyPi release. Tweak NFNet, ResNetV2, RexNet feature extraction, use pre-act features. Also, add act args to RexNet #202

DeepMind NFNet-F* weights

Weights converted from DeepMind Haiku impl of NFNets (https://github.com/deepmind/deepmind-research/tree/master/nfnets)

RepVGG checkpoints remapped from official repo

Checkpoints remapped from official repository at https://github.com/DingXiaoH/RepVGG

GPU-Efficient (Residual) Networks checkpoints

Checkpoints remapped from official repo at https://github.com/idstcv/GPU-Efficient-Networks

v0.3.4. Minor release. Conda setup.cfg added

Version 0.3.4. Tweak setup.cfg and update setup.py metadata

v0.3.3. ResNet-101D/152D/200D and SE-ResNet-152D models w/ weights.

Update README.md

Ported weights from official JAX impl of Vision Transformers and MLP-Mixer

Converted to PyTorch from https://github.com/google-research/vision_transformer

Feature Maps, More Models, CutMix

Aug 12, 2020

• New/updated weights from training experiments
  • EfficientNet-B3 - 82.1 top-1 (vs 81.6 for official with AA and 81.9 for AdvProp)
  • RegNetY-3.2GF - 82.0 top-1 (78.9 from official ver)
  • CSPResNet50 - 79.6 top-1 (76.6 from official ver)
• Add CutMix integrated w/ Mixup. See pull request for some usage examples
• Some fixes for using pretrained weights with in_chans != 3 on several models.

Aug 5, 2020

Universal feature extraction, new models, new weights, new test sets.

• All models support the features_only=True argument for create_model call to return a network that extracts feature maps from the deepest layer at each stride.
• New models
  • CSPResNet, CSPResNeXt, CSPDarkNet, DarkNet
  • ReXNet
  • (Modified Aligned) Xception41/65/71 (a proper port of TF models)
• New trained weights
  • SEResNet50 - 80.3 top-1
  • CSPDarkNet53 - 80.1 top-1
  • CSPResNeXt50 - 80.0 top-1
  • DPN68b - 79.2 top-1
  • EfficientNet-Lite0 (non-TF ver) - 75.5 (submitted by @hal-314)
• Add 'real' labels for ImageNet and ImageNet-Renditions test set, see results/README.md
• Test set ranking/top-n diff script by @KushajveerSingh
• Train script and loader/transform tweaks to punch through more aug arguments
• README and documentation overhaul. See initial (WIP) documentation at https://rwightman.github.io/pytorch-image-models/
• adamp and sgdp optimizers added by @hellbell

RexNet remapped weights

ReXNet weights from https://github.com/clovaai/rexnet#pretrained remapped for timm model changes

Mirror of ResNeSt weights

These are a mirror of weights from the official repository (https://github.com/zhanghang1989/ResNeSt ) to avoid issues with hosting changes/relocation