Ross Wightman
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e5e15754c9
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Fix coat first conv ident
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4 years ago |
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Ross Wightman
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76739a7589
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CoaT merge. Bit of formatting, fix torchscript (for non features), remove einops/einsum dep, add pretrained weight hub (url) support.
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4 years ago |
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Ross Wightman
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026430c083
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Merge branch 'master' of https://github.com/morizin/pytorch-image-models-1 into morizin-master
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4 years ago |
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Ross Wightman
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a0492e3b48
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A few miil weights naming tweaks to improve compat with model registry and filtering wildcards.
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4 years ago |
talrid
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8c1f03e56c
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comment
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4 years ago |
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talrid
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19e1b67a84
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old spaces
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4 years ago |
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talrid
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a443865876
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update naming and scores
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4 years ago |
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talrid
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cf0e371594
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84_0
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4 years ago |
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talrid
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0968bdeca3
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vit, tresnet and mobilenetV3 ImageNet-21K-P weights
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4 years ago |
morizin
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1e3b6d4dfc
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Update __init__.py
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4 years ago |
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morizin
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fd022fd6a2
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Update __init__.py
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4 years ago |
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morizin
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c2d5087eae
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Add files via upload
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4 years ago |
Norman Mu
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79640fcc1f
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Enable uniform augmentation magnitude sampling and set AugMix default
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4 years ago |
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Ross Wightman
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c1cf9712fc
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Add updated EfficientNet-V2S weights, 83.8 @ 384x384 test. Add PyTorch trained EfficientNet-B4 weights, 83.4 @ 384x384 test. Tweak non TF EfficientNet B1-B4 train/test res scaling.
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4 years ago |
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Ross Wightman
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e8a64fb881
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Test input size for efficientnet_v2s was wrong in last results run
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4 years ago |
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Ross Wightman
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2df77ee5cb
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Fix torchscript compat and features_only behaviour in GhostNet PR. A few minor formatting changes. Reuse existing layers.
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4 years ago |
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Ross Wightman
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d793deb51a
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Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
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4 years ago |
Ross Wightman
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e685618f45
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Merge pull request #550 from amaarora/wandb
Wandb Support
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4 years ago |
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Ross Wightman
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f606c45c38
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Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
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4 years ago |
iamhankai
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de445e7827
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Add GhostNet
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4 years ago |
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Ross Wightman
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5a196dddf6
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Update README.md with latest, bump version to 0.4.8
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4 years ago |
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Ross Wightman
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b3d7580df1
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Update ByoaNet comments. Fix first Steam feat chs for ByobNet.
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4 years ago |
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Ross Wightman
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16f7aa9f54
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Add default_cfg options for min_input_size / fixed_input_size, queries in model registry, and use for testing self-attn models
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4 years ago |
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Ross Wightman
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4e4b863b15
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Missed norm.py
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4 years ago |
|
Ross Wightman
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7c97e66f7c
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Remove commented code, add more consistent seed fn
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4 years ago |
|
Ross Wightman
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364dd6a58e
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Merge branch 'master' into byoanet-self_attn
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4 years ago |
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Ross Wightman
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ce62f96d4d
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ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
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4 years ago |
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Ross Wightman
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cd3dc4979f
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Fix adabelief imports, remove prints, preserve memory format is the default arg for zeros_like
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4 years ago |
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Ross Wightman
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21812d33aa
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Add prelim efficientnet_v2s weights from 224x224 train, eval 83.3 @ 288. Add eca_nfnet_l1 weights, train at 256, eval 84 @ 320.
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4 years ago |
Aman Arora
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5772c55c57
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Make wandb optional
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4 years ago |
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Aman Arora
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f54897cc0b
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make wandb not required but rather optional as huggingface_hub
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4 years ago |
|
Aman Arora
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3f028ebc0f
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import wandb in summary.py
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4 years ago |
|
Aman Arora
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624c9b6949
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log to wandb only if using using wandb
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4 years ago |
juntang
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addfc7c1ac
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adabelief
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4 years ago |
|
Ross Wightman
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fb896c0b26
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Update some comments re preliminary EfficientNet-V2 assumptions
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4 years ago |
|
Ross Wightman
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2b49ab7a36
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Fix ResNetV2 pretrained classifier issue. Fixes #540
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4 years ago |
|
Ross Wightman
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de9dff933a
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EfficientNet-V2S preliminary model def (for experimentation)
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4 years ago |
|
Ross Wightman
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37c71a5609
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Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch.
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4 years ago |
|
Ross Wightman
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2bb65bd875
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Wrong default_cfg pool_size for L1
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4 years ago |
|
Ross Wightman
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bf2ca6bdf4
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Merge jax and original weight init
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4 years ago |
|
Ross Wightman
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acbd698c83
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Update README.md with updates. Small tweak to head_dist handling.
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4 years ago |
|
Ross Wightman
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9071568f0e
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Add weights for SE NFNet-L0 model, rename nfnet_l0b -> nfnet_l0. 82.75 top-1 @ 288. Add nfnet_l1 model def for training.
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4 years ago |
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Ross Wightman
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c468c47a9c
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Add regnety_160 weights from DeiT teacher model, update that and my regnety_032 weights to use higher test size.
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4 years ago |
|
Ross Wightman
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288682796f
|
Update benchmark script to add precision arg. Fix some downstream (DeiT) compat issues with latest changes. Bump version to 0.4.7
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4 years ago |
|
Ross Wightman
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ea9c9550b2
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Fully move ViT hybrids to their own file, including embedding module. Remove some extra DeiT models that were for benchmarking only.
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4 years ago |
|
Ross Wightman
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a5310a3451
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Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
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4 years ago |
|
Ross Wightman
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7953e5d11a
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Fix pos_embed scaling for ViT and num_classes != 1000 for pretrained distilled deit and pit models. Fix #426 and fix #433
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4 years ago |
|
Ross Wightman
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a760a4c3f4
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Some ViT cleanup, merge distilled model with main, fixup torchscript support for distilled models
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4 years ago |
|
Ross Wightman
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0dfc5a66bb
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Add PiT model from https://github.com/naver-ai/pit
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4 years ago |
|
Ross Wightman
|
51febd869b
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Small tweak to tests for tnt model, reorder model imports.
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4 years ago |
