Ross Wightman
1daa15ecc3
Initial Cait commit. Still some cleanup to do.
4 years ago
Ross Wightman
67d0665b46
Post ResNet-RS merge cleanup. Add weight urls, adjust train/test/crop pct.
4 years ago
Aman Arora
560eae38f5
[WIP] Add ResNet-RS models ( #554 )
...
* Add ResNet-RS models
* Only include resnet-rs changes
* remove whitespace diff
* EOF newline
* Update time
* increase time
* Add first conv
* Try running only resnetv2_101x1_bitm on Linux runner
* Add to exclude filter
* Run test_model_forward_features for all
* Add to exclude ftrs
* back to defaults
* only run test_forward_features
* run all tests
* Run all tests
* Add bigger resnetrs to model filters to fix Github CLI
* Remove resnetv2_101x1_bitm from exclude feat features
* Remove hardcoded values
* Make sure reduction ratio in resnetrs is 0.25
* There is no bias in replaced maxpool so remove it
4 years ago
Ross Wightman
9cc7dda6e5
Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.
4 years ago
Ross Wightman
e15c3886ba
Defaul lambda r=7. Define '26t' stage 4/5 256x256 variants for all of bot/halo/lambda nets for experiment. Add resnet50t for exp. Fix a few comments.
4 years ago
Ross Wightman
e5e15754c9
Fix coat first conv ident
4 years ago
Ross Wightman
76739a7589
CoaT merge. Bit of formatting, fix torchscript (for non features), remove einops/einsum dep, add pretrained weight hub (url) support.
4 years ago
Ross Wightman
026430c083
Merge branch 'master' of https://github.com/morizin/pytorch-image-models-1 into morizin-master
4 years ago
Ross Wightman
a0492e3b48
A few miil weights naming tweaks to improve compat with model registry and filtering wildcards.
4 years ago
talrid
8c1f03e56c
comment
4 years ago
talrid
19e1b67a84
old spaces
4 years ago
talrid
a443865876
update naming and scores
4 years ago
talrid
cf0e371594
84_0
4 years ago
talrid
0968bdeca3
vit, tresnet and mobilenetV3 ImageNet-21K-P weights
4 years ago
morizin
1e3b6d4dfc
Update __init__.py
4 years ago
morizin
fd022fd6a2
Update __init__.py
4 years ago
morizin
c2d5087eae
Add files via upload
4 years ago
Norman Mu
79640fcc1f
Enable uniform augmentation magnitude sampling and set AugMix default
4 years ago
Ross Wightman
c1cf9712fc
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.
4 years ago
Ross Wightman
e8a64fb881
Test input size for efficientnet_v2s was wrong in last results run
4 years ago
Ross Wightman
2df77ee5cb
Fix torchscript compat and features_only behaviour in GhostNet PR. A few minor formatting changes. Reuse existing layers.
4 years ago
Ross Wightman
d793deb51a
Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
4 years ago
Ross Wightman
e685618f45
Merge pull request #550 from amaarora/wandb
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Wandb Support
4 years ago
Ross Wightman
f606c45c38
Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
4 years ago
iamhankai
de445e7827
Add GhostNet
4 years ago
Ross Wightman
5a196dddf6
Update README.md with latest, bump version to 0.4.8
4 years ago
Ross Wightman
b3d7580df1
Update ByoaNet comments. Fix first Steam feat chs for ByobNet.
4 years ago
Ross Wightman
16f7aa9f54
Add default_cfg options for min_input_size / fixed_input_size, queries in model registry, and use for testing self-attn models
4 years ago
Ross Wightman
4e4b863b15
Missed norm.py
4 years ago
Ross Wightman
7c97e66f7c
Remove commented code, add more consistent seed fn
4 years ago
Ross Wightman
364dd6a58e
Merge branch 'master' into byoanet-self_attn
4 years ago
Ross Wightman
ce62f96d4d
ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
4 years ago
Ross Wightman
cd3dc4979f
Fix adabelief imports, remove prints, preserve memory format is the default arg for zeros_like
4 years ago
Ross Wightman
21812d33aa
Add prelim efficientnet_v2s weights from 224x224 train, eval 83.3 @ 288. Add eca_nfnet_l1 weights, train at 256, eval 84 @ 320.
4 years ago
Aman Arora
5772c55c57
Make wandb optional
4 years ago
Aman Arora
f54897cc0b
make wandb not required but rather optional as huggingface_hub
4 years ago
Aman Arora
3f028ebc0f
import wandb in summary.py
4 years ago
Aman Arora
624c9b6949
log to wandb only if using using wandb
4 years ago
juntang
addfc7c1ac
adabelief
4 years ago
Ross Wightman
fb896c0b26
Update some comments re preliminary EfficientNet-V2 assumptions
4 years ago
Ross Wightman
2b49ab7a36
Fix ResNetV2 pretrained classifier issue. Fixes #540
4 years ago
Ross Wightman
de9dff933a
EfficientNet-V2S preliminary model def (for experimentation)
4 years ago
Ross Wightman
37c71a5609
Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch.
4 years ago
Ross Wightman
2bb65bd875
Wrong default_cfg pool_size for L1
4 years ago
Ross Wightman
bf2ca6bdf4
Merge jax and original weight init
4 years ago
Ross Wightman
acbd698c83
Update README.md with updates. Small tweak to head_dist handling.
4 years ago
Ross Wightman
9071568f0e
Add weights for SE NFNet-L0 model, rename nfnet_l0b -> nfnet_l0. 82.75 top-1 @ 288. Add nfnet_l1 model def for training.
4 years ago
Ross Wightman
c468c47a9c
Add regnety_160 weights from DeiT teacher model, update that and my regnety_032 weights to use higher test size.
4 years ago
Ross Wightman
288682796f
Update benchmark script to add precision arg. Fix some downstream (DeiT) compat issues with latest changes. Bump version to 0.4.7
4 years ago
Ross Wightman
ea9c9550b2
Fully move ViT hybrids to their own file, including embedding module. Remove some extra DeiT models that were for benchmarking only.
4 years ago