Ross Wightman
acc3ed2b8c
Add EfficientNet-B3 weights, trained from scratch with RA.
2019-12-28 17:24:15 -08:00
rwightman
1f4498f217
Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d
2019-12-28 11:43:50 -08:00
Ross Wightman
73b78459dc
Add update RandAugment MixNet-XL weights
2019-12-24 10:08:24 -08:00
Ross Wightman
ff421e5e09
New PyTorch trained EfficientNet-B2 weights with my RandAugment impl
2019-12-04 11:09:47 -08:00
Ross Wightman
3bef524f9c
Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.
2019-11-29 17:56:36 -08:00
Ross Wightman
6ca0828166
Update EfficientNet comments, MobileNetV3 non-TF create fns, fix factory arg checks, bump PyTorch version req to 1.2
2019-11-28 17:43:00 -08:00
Ross Wightman
eccbadca74
Update EfficientNet comments
2019-11-28 17:11:53 -08:00
Ross Wightman
902d32fb16
Renamed gen_efficientnet.py -> efficientnet.py
2019-11-28 17:04:35 -08:00
Ross Wightman
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
2019-11-28 17:04:35 -08:00
Ross Wightman
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
2019-11-28 17:04:35 -08:00
Ross Wightman
ad93347548
Initial HRNet classification model commit
2019-11-28 17:00:52 -08:00
Ross Wightman
2393708650
Missed stashing of out_indices in model
2019-11-28 17:00:52 -08:00
Ross Wightman
35e8f0c5e7
Fixup a few comments, add PyTorch version aware Flatten and finish as_sequential for GenEfficientNet
2019-11-28 17:00:52 -08:00
Ross Wightman
7ac6db4543
Missed activations.py
2019-11-28 17:00:52 -08:00
Ross Wightman
506df0e3d0
Add CondConv support for EfficientNet into WIP for GenEfficientNet Feature extraction setup
2019-11-28 17:00:52 -08:00
Ross Wightman
576d360f20
Bring in JIT version of optimized swish activation from gen_efficientnet as default (while working on feature extraction functionality here).
2019-11-22 13:57:45 -08:00
Ross Wightman
7b83e67f77
Pass drop connect arg through to EfficientNet models
2019-11-22 13:27:43 -08:00
Ross Wightman
0d58c50fb1
Add TF RandAug weights for B5/B7 EfficientNet models.
2019-10-30 16:49:17 -07:00
Ross Wightman
c099374771
Map pretrained checkpoint to cpu to avoid issue with some pretrained checkpoints still having CUDA tensors. Fixes #42
2019-10-19 17:27:46 -07:00
Ross Wightman
b93fcf0708
Add Facebook Research Semi-Supervised and Semi-Weakly Supervised ResNet model weights.
2019-10-19 17:05:37 -07:00
Ross Wightman
a9eb484835
Add memory efficient Swish impl
2019-10-19 14:48:30 -07:00
rwightman
d3ba34ee7e
Fix Mobilenet V3 model name for sotabench. Minor res2net cleanup.
2019-09-05 15:47:56 -07:00
Ross Wightman
2680ad14bb
Add Res2Net and DLA to README
2019-09-04 17:38:59 -07:00
rwightman
adbf770f16
Add Res2Net and DLA models w/ pretrained weights. Update sotabench.
2019-09-04 17:06:42 -07:00
Ross Wightman
aff194f42c
Merge pull request #32 from rwightman/opt
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More optimizer work
2019-08-29 15:26:15 -07:00
Ross Wightman
3d9c8a6489
Add support for new AMP checkpointing support w/ amp.state_dict
2019-08-29 15:19:18 -07:00
Ross Wightman
e9d2ec4d8e
Merge pull request #31 from rwightman/opt
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Optimizers and more
2019-08-28 00:20:39 -07:00
Ross Wightman
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
2019-08-28 00:14:10 -07:00
Ross Wightman
81875d52a6
Update sotabench model list, add Mean-Max pooling DPN variants, disable download progress
2019-08-27 00:07:32 -07:00
Ross Wightman
73fbd97ed4
Add weights for my MixNet-XL creation, include README updates for EdgeTPU models
2019-08-24 19:57:42 -07:00
Ross Wightman
51a2375b0c
Experimenting with a custom MixNet-XL and MixNet-XXL definition
2019-08-24 19:57:42 -07:00
Ross Wightman
9ec6824bab
Finally got around to adding EdgeTPU EfficientNet variant
2019-08-24 13:39:49 -07:00
Ross Wightman
aeaaad7304
Merge pull request #24 from rwightman/gluon_xception
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Port Gluon Aligned Xception models
2019-08-11 23:08:21 -07:00
Ross Wightman
3b4868f6dc
A few more additions to Gluon Xception models to match interface of others.
2019-08-11 23:06:23 -07:00
Ross Wightman
4d505e0785
Add working Gluon Xception-65 model. Some cleanup still needed.
2019-08-10 13:52:01 -07:00
Minqin Chen
4e7a854dd0
Update helpers.py
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Fixing out of memory error by loading the checkpoint onto the CPU.
2019-08-11 04:21:39 +08:00
Ross Wightman
4fe2da558c
Add MixNet Small and Large PyTorch native weights (no same padding)
2019-08-02 23:22:48 -07:00
Ross Wightman
e879cf52fa
Update validation scores for new TF EfficientNet weights.
2019-07-31 14:38:55 -07:00
Ross Wightman
77e2e0c4e3
Add new auto-augmentation Tensorflow EfficientNet weights, incl B6 and B7 models. Validation scores still pending but looking good.
2019-07-30 18:31:02 -07:00
Ross Wightman
857f33015a
Add native PyTorch weights for MixNet-Medium with no SAME padding necessary. Remove unused block of code.
2019-07-29 11:59:15 -07:00
Ross Wightman
d4debe6597
Update version, results csv files, and move remaining dropbox weights to github
2019-07-25 16:54:44 -07:00
Ross Wightman
dfa9298b4e
Add MixNet ( https://arxiv.org/abs/1907.09595 ) with pretrained weights converted from Tensorflow impl
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* refactor 'same' convolution and add helper to use MixedConv2d when needed
* improve performance of 'same' padding for cases that can be handled statically
* add support for extra exp, pw, and dw kernel specs with grouping support to decoder/string defs for MixNet
* shuffle some args for a bit more consistency, a little less clutter overall in gen_efficientnet.py
2019-07-25 11:42:01 -07:00
Ross Wightman
d6ac5bbc48
EfficientNet and related cleanup
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* remove folded_bn support and corresponding untrainable tflite ported weights
* combine bn args into dict
* add inplace support to activations and use where possible for reduced mem on large models
2019-07-22 09:29:58 -07:00
Ross Wightman
3d9be78fc6
A bit more ResNet cleanup.
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* add inplace=True back
* minor comment improvements
* few clarity changes
2019-07-19 16:44:35 -07:00
Ross Wightman
33436fafad
Add weights for ResNeXt50d model
2019-07-19 14:09:10 -07:00
Ross Wightman
e78cd79073
Move ResNet additions for Gluon into main ResNet impl. Add ResNet-26 and ResNet-26d models with weights.
2019-07-14 18:17:35 -07:00
Ross Wightman
949b7a81c4
Fix typo in Densenet default resolutions
2019-07-03 22:11:26 -07:00
Ross Wightman
da52fcf78a
Add NASNet-Large model
2019-07-03 22:10:50 -07:00
Ross Wightman
6057496409
Register dpn107
2019-06-30 09:57:06 -07:00
Ross Wightman
a6878b5218
Fix DPN config keys that I broke
2019-06-30 09:54:52 -07:00
