v0.8.6dev0

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)