rwightman/pytorch-image-models: v0.8.6dev0 Release

Jan 11, 2023 Update ConvNeXt ImageNet-12k pretrain series w/ two new fine-tuned weights (and pre FT .in12k tags) convnext_nano.in12k_ft_in1k - 82.3 @ 224, 82.9 @ 288 (previously released) convnext_tiny.in12k_ft_in1k - 84.2 @ 224, 84.5 @ 288 convnext_small.in12k_ft_in1k - 85.2 @ 224, 85.3 @ 288 Jan 6, 2023 Finally got around to adding --model-kwargs and --opt-kwargs to scripts to pass through rare args directly to model classes from cmd line train.py /imagenet --model resnet50 --amp --model-kwargs output_stride=16 act_layer=silu train.py /imagenet --model vit_base_patch16_clip_224 --img-size 240 --amp --model-kwargs img_size=240 patch_size=12 Cleanup some popular models to better support arg passthrough / merge with model configs, more to go. Jan 5, 2023 ConvNeXt-V2 models and weights added to existing convnext.py Paper: ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders Reference impl: https://github.com/facebookresearch/ConvNeXt-V2 (NOTE: weights currently CC-BY-NC