3cc0f91e23
Fix augmix variable name scope overlap, default non-blended mode
5 years ago
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
232ab7fb12
Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
5 years ago
a435ea1327
Change reduce_bn to distribute_bn, add ability to choose between broadcast and reduce (mean). Add crop_pct arg to allow selecting validation crop while training.
5 years ago
3bff2b21dc
Add support for keeping running bn stats the same across distributed training nodes before eval/save
5 years ago
0161de0127
Switch RandoErasing back to on GPU normal sampling
5 years ago
ff421e5e09
New PyTorch trained EfficientNet-B2 weights with my RandAugment impl
5 years ago
3bef524f9c
Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.
5 years ago
6ca0828166
Update EfficientNet comments, MobileNetV3 non-TF create fns, fix factory arg checks, bump PyTorch version req to 1.2
5 years ago
eccbadca74
Update EfficientNet comments
5 years ago
902d32fb16
Renamed gen_efficientnet.py -> efficientnet.py
5 years ago
5a0a8de7e3
ResNet updates:
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* remove redundant GluonResNet model/blocks and use the code in ResNet for Gluon weights
* change SEModules back to using AdaptiveAvgPool instead of mean, PyTorch issue long fixed
5 years ago
a39cc43374
Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo
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* Split MobileNetV3 and EfficientNet model files and put builder and blocks in own files (getting too large)
* Finalize CondConv EfficientNet variant
* Add the AdvProp weights files and B8 EfficientNet model
* Refine the feature extraction module for EfficientNet and MobileNetV3
5 years ago
ad93347548
Initial HRNet classification model commit
5 years ago
2393708650
Missed stashing of out_indices in model
5 years ago
35e8f0c5e7
Fixup a few comments, add PyTorch version aware Flatten and finish as_sequential for GenEfficientNet
5 years ago
7ac6db4543
Missed activations.py
5 years ago
506df0e3d0
Add CondConv support for EfficientNet into WIP for GenEfficientNet Feature extraction setup
5 years ago
576d360f20
Bring in JIT version of optimized swish activation from gen_efficientnet as default (while working on feature extraction functionality here).
5 years ago
7b83e67f77
Pass drop connect arg through to EfficientNet models
5 years ago
31453b039e
Update Auto/RandAugment comments, README, more.
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* Add a weighted choice option for RandAugment
* Adjust magnitude noise/std naming, config
5 years ago
4243f076f1
Adding RandAugment to AutoAugment impl, some tweaks to AA included
5 years ago
0d58c50fb1
Add TF RandAug weights for B5/B7 EfficientNet models.
5 years ago
c099374771
Map pretrained checkpoint to cpu to avoid issue with some pretrained checkpoints still having CUDA tensors. Fixes #42
5 years ago
b93fcf0708
Add Facebook Research Semi-Supervised and Semi-Weakly Supervised ResNet model weights.
5 years ago
a9eb484835
Add memory efficient Swish impl
5 years ago
d3ba34ee7e
Fix Mobilenet V3 model name for sotabench. Minor res2net cleanup.
5 years ago
2680ad14bb
Add Res2Net and DLA to README
5 years ago
adbf770f16
Add Res2Net and DLA models w/ pretrained weights. Update sotabench.
5 years ago
4002c0d4ce
Fix AutoAugment abs translate calc
5 years ago
c06274e5a2
Add note on random selection of magnitude value
5 years ago
b750b76f67
More AutoAugment work. Ready to roll...
5 years ago
25d2088d9e
Working on auto-augment
5 years ago
aff194f42c
Merge pull request #32 from rwightman/opt
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More optimizer work
5 years ago
64966f61f7
Add Nvidia's NovogGrad impl from Jasper (cleaner/faster than current) and Apex Fused optimizers
5 years ago
3d9c8a6489
Add support for new AMP checkpointing support w/ amp.state_dict
5 years ago
ba3c97c3ad
Some Lookahead cleanup and fixes
5 years ago
e9d2ec4d8e
Merge pull request #31 from rwightman/opt
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Optimizers and more
5 years ago
fac58f609a
Add RAdam, NovoGrad, Lookahead, and AdamW optimizers, a few ResNet tweaks and scheduler factory tweak.
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* Add some of the trendy new optimizers. Decent results but not clearly better than the standards.
* Can create a None scheduler for constant LR
* ResNet defaults to zero_init of last BN in residual
* add resnet50d config
5 years ago
81875d52a6
Update sotabench model list, add Mean-Max pooling DPN variants, disable download progress
5 years ago
f37e633e9b
Merge remote-tracking branch 'origin/re-exp' into opt
5 years ago
b06dce8d71
Bump version for next push to pypi
5 years ago
73fbd97ed4
Add weights for my MixNet-XL creation, include README updates for EdgeTPU models
5 years ago
51a2375b0c
Experimenting with a custom MixNet-XL and MixNet-XXL definition
5 years ago
9ec6824bab
Finally got around to adding EdgeTPU EfficientNet variant
5 years ago
daeaa113e2
Add initial sotabench attempt. Split create_transform out of create_loader. Update requirements.txt
5 years ago
66634d2200
Add support to split random erasing blocks into randomly selected number with --recount arg. Fix random selection of aspect ratios.
5 years ago
6946281fde
Experimenting with random erasing changes
5 years ago
aeaaad7304
Merge pull request #24 from rwightman/gluon_xception
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Port Gluon Aligned Xception models
5 years ago
3b4868f6dc
A few more additions to Gluon Xception models to match interface of others.
5 years ago
Ross Wightman