Ross Wightman
1daa303744
Add support to Dataset for class id mapping file, clean up a bit of old logic. Add results file arg for validation and update script.
5 years ago
Ross Wightman
91534522f9
Add newly added TF ported EfficientNet-B8 weights (RandAugment)
5 years ago
Ross Wightman
82dd60b33c
Rename results files for more clarity
5 years ago
Ross Wightman
5b7cc16ac9
Add warning about using sync-bn with zero initialized BN layers. Fixes #54
5 years ago
Ross Wightman
b18c19901e
Update README.md
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Typo
5 years ago
Ross Wightman
12dbc74742
New ResNet50 JSD + RandAugment weights
5 years ago
Ross Wightman
e39aae56b4
Update README.md
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Fix typo
5 years ago
Ross Wightman
7a17ee9c3b
Update README.md
5 years ago
Ross Wightman
e42503e1d0
Update sotabench
5 years ago
Ross Wightman
2f41905ba5
Update ResNet50 weights to AuxMix trained 78.994 top-1. A few commentes re 'tiered_narrow' tn variant.
5 years ago
Ross Wightman
cc0b1f4130
Add support to clean_checkpoint.py to remove aux_bn weights/biases from SplitBatchNorm
5 years ago
Ross Wightman
2a88412413
Update README.md
5 years ago
Ross Wightman
d9a6a9d0af
Merge pull request #74 from rwightman/augmix-jsd
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AugMix, JSD loss, SplitBatchNorm (Auxiliary BN), and more
5 years ago
Ross Wightman
3eb4a96eda
Update AugMix, JSD, etc comments and references
5 years ago
Ross Wightman
a28117ea46
Add tiered narrow ResNet (tn) and weights for seresnext26tn_32x4d
5 years ago
Ross Wightman
cfa951bceb
Update README.md
5 years ago
Ross Wightman
833066b540
A few minor things in SplitBN
5 years ago
Ross Wightman
7547119891
Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
5 years ago
Ross Wightman
2e955cfd0c
Update RandomErasing with some improved arg names, tweak to aspect range
5 years ago
Ross Wightman
3cc0f91e23
Fix augmix variable name scope overlap, default non-blended mode
5 years ago
Ross Wightman
7622015258
Update README.md
5 years ago
Ross Wightman
ec0dd4053a
Add updated RandAugment trained EfficientNet-B0 trained weights from @michaelklachko
5 years ago
Ross Wightman
8662454bd7
Plural for averaging script.
5 years ago
Ross Wightman
40fea63ebe
Add checkpoint averaging script. Add headers, shebangs, exec perms to all scripts
5 years ago
Ross Wightman
4666cc9aed
Add --pin-mem arg to enable dataloader pin_memory (showing more benefit in some scenarios now), also add --torchscript arg to validate.py for testing models with jit.script
5 years ago
Ross Wightman
53001dd292
ResNet / Res2Net additions:
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* ResNet torchscript compat
* output_stride arg supported to limit network stride via dilations (support for dilation added to Res2Net)
* allow activation layer to be changed via act_layer arg
5 years ago
Ross Wightman
f96b3e5e92
InceptionResNetV2 torchscript compatible
5 years ago
Ross Wightman
19d93fe454
Add selecsls60 weights
5 years ago
Ross Wightman
a7fe891a13
Update README.md
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Update readme with SelecSLS details.
5 years ago
Ross Wightman
e728d70831
Merge pull request #66 from rwightman/selecsls_updates
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SelecSLS updates
5 years ago
Ross Wightman
84ca3d1f4d
Add SelecSLS to sotabench list
5 years ago
Ross Wightman
0062c15fb0
Update checkpoint url with modelzoo compatible ones.
5 years ago
Ross Wightman
b5315e66b5
Streamline SelecSLS model without breaking checkpoint compat. Move cfg handling out of model class. Update feature/pooling behaviour to match current.
5 years ago
Ross Wightman
d59a756c16
Run PyCharm autoformat on selecsls and change mix cap variables and model names to all lower
5 years ago
Ross Wightman
fb3a0f4bb8
Merge pull request #65 from mehtadushy/selecsls
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Incorporate SelecSLS Models
5 years ago
Ross Wightman
0554b7942c
Update README.md
5 years ago
Ross Wightman
a4497afa21
Update sotabench.py
5 years ago
Ross Wightman
53f578e16f
Update README with B3 training details
5 years ago
Ross Wightman
19fc205a4d
Update comments on the new SE-ResNeXt26 models
5 years ago
Ross Wightman
8894a6bc08
Update sotabench.py with latest seresnext26 and efficientnet_b3 models
5 years ago
Ross Wightman
acc3ed2b8c
Add EfficientNet-B3 weights, trained from scratch with RA.
5 years ago
Dushyant Mehta
2404361f62
correct asset paths
5 years ago
Dushyant Mehta
31939311f6
Added SelecSLS models
5 years ago
rwightman
1f4498f217
Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d
5 years ago
Dushyant Mehta
32012a44fd
Added SelecSLS model
5 years ago
Ross Wightman
73b78459dc
Add update RandAugment MixNet-XL weights
5 years ago
Ross Wightman
3afc2a4dc0
Some cleanup/improvements to AugMix impl:
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* make 'increasing' levels for Contrast, Color, Brightness, Saturation ops
* remove recursion from faster blending mix
* add config striing parsing for AugMix
5 years ago
Ross Wightman
232ab7fb12
Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
5 years ago
Ross Wightman
ff8688ca3d
Merge pull request #62 from rwightman/reduce-bn
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Distribute BatchNorm stats
5 years ago
Ross Wightman
5719b493ad
Missed update dist-bn logic for EMA model
5 years ago