20290b5b56
fix typo in eca
2020-04-14 15:20:35 +04:30
ebf82b84ac
Merge pull request #122 from mrT23/master
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TResNet models
2020-04-12 18:23:46 -07:00
e15f979457
Merge pull request #123 from aclex/mobilenetv3_fix_feature_extraction
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Merge changes in feature extraction interface to MobileNetV3
2020-04-12 18:17:13 -07:00
bdb165a8a4
Merge changes in feature extraction interface to MobileNetV3
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Experimental feature extraction interface seems to be changed
a little bit with the most up to date version apparently found
in EfficientNet class. Here these changes are added to
MobileNetV3 class to make it support it and work again, too.
2020-04-13 02:02:14 +03:00
8a63c1add8
finalizing
2020-04-12 19:08:35 +03:00
6209146738
TResNet models
2020-04-12 18:44:12 +03:00
98a7403ed4
Merge pull request #1 from rwightman/master
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merge master
2020-04-12 08:44:42 +03:00
13cf68850b
Remove poorly named metrics from torch imagenet example origins. Use top1/top5 in csv output for consistency with existing validation results files, acc elsewhere. Fixes #111
2020-04-10 14:41:08 -07:00
56608c9070
Bump version for pypi
2020-04-09 01:46:05 -07:00
0ebcd2eca1
No default img size for inference script. Fixes #109
2020-04-09 01:43:49 -07:00
1a8f5900ab
Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.
2020-04-09 01:41:54 -07:00
e01ccb88ce
Merge pull request #117 from VRandme/typo_eca
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minor PR to fix typos found in #116 and resnet.py
2020-04-07 09:36:31 -07:00
06a50a94a8
Fix minor typos in create_attn.py and resnet.py
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'eca'->'ceca'
and
doest not-> does not
2020-04-07 21:15:57 +09:00
c99a5abed4
Merge pull request #115 from rwightman/mobilenetv2-experiment
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MobileNet-V2 experiments
2020-04-05 17:32:06 -07:00
e34074b4da
Add final weights for MobileNet-V2 experiments
2020-04-05 17:31:02 -07:00
a6a5565de7
Fiddling...
2020-03-19 10:20:20 -07:00
5a16c533ff
Add better resnext50_32x4d weights trained by andravin
2020-03-18 14:43:50 -07:00
bc998cad91
Experimenting with some MobileNetV2 variations to compare against EfficientNet-Lite
2020-03-18 13:54:06 -07:00
71b5cd67da
Merge pull request #105 from rwightman/efficientnet-lite
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EfficientNet-Lite
2020-03-18 13:18:27 -07:00
ef30e7f2b6
Update sotabench with EffNet Lite models
2020-03-18 13:15:54 -07:00
3406e582cf
Add EfficientNet-Lite results, update README
2020-03-18 13:12:30 -07:00
bd05258f7b
EfficientNet-Lite model added w/ converted checkpoints, validation in progress...
2020-03-17 23:31:45 -07:00
7deacf5477
Merge pull request #99 from andravin/save-last
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Modified save_checkpoint to always save last checkpoint. Fixes #98 .
2020-03-15 11:28:50 -07:00
d92cc4da54
Modified save_checkpoint to always save last checkpoint. Fixes #98 .
2020-03-09 22:41:33 -07:00
56e2ac3a6d
Merge pull request #94 from rwightman/lr_noise
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Learning rate noise, MobileNetV3 weights, and activate MobileNetV3/EfficientNet weight init change
2020-02-29 20:41:05 -08:00
c16f25ced2
Add MobileNetV3 Large weights, results, update README and sotabench for merge
2020-02-29 20:37:20 -08:00
c60069c1eb
Annotate types on drop fns to avoid torchscript error
2020-02-27 09:30:23 -08:00
9fee316752
Enable fixed fanout calc in EfficientNet/MobileNetV3 weight init by default. Fix #84
2020-02-24 15:11:26 -08:00
27b3680d49
Revamp LR noise, move logic to scheduler base. Fixup PlateauLRScheduler and add it as an option.
2020-02-22 16:23:15 -08:00
cc5a11abba
version bump for PyPi update
2020-02-22 10:26:19 -08:00
514b0938c4
Experimenting with per-epoch learning rate noise w/ step scheduler
2020-02-21 11:51:05 -08:00
d77f45a6f6
Forgot to add skresnet34 to sotabench
2020-02-18 15:11:41 -08:00
6620770665
Simpler approach to loading entrypoints in hubconf works properly
2020-02-18 14:58:23 -08:00
e0685dd415
Merge pull request #88 from rwightman/attention
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A lot of attention and much more
2020-02-18 14:46:49 -08:00
f1860ef3a5
Update README.md, check in hubconf experiment (fully dynamic)
2020-02-18 14:41:14 -08:00
43225d110c
Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.
2020-02-18 14:00:26 -08:00
f1d5f8a6c4
Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights
2020-02-18 13:58:30 -08:00
569419b38d
Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch
2020-02-15 21:18:25 -08:00
91e2b33d72
Update results with latest NoisyStudent models and SelectiveKernel models
2020-02-15 20:38:57 -08:00
53c47479c4
Batch validation batch size adjustment, tweak L2 crop pct
2020-02-15 20:37:04 -08:00
08553e16b3
Merge branch 'master' into attention
2020-02-14 18:24:21 -08:00
fa38f24967
Update SK network configs, add weights for skresnet8 and skresnext50
2020-02-14 15:37:00 -08:00
f098fda2ca
Add map_location='cpu' to ModelEma resume, should improve #72
2020-02-12 13:23:56 -08:00
b9496995d8
Add L2-475 PyTorch preprocessing result, update sotabench for new weights
2020-02-12 13:20:37 -08:00
ba15ca47e8
Add ported EfficientNet-L2, B0-B7 NoisyStudent weights from TF TPU
2020-02-12 11:26:38 -08:00
5e6dbbaf30
Add CBAM for experimentation
2020-02-10 16:23:09 -08:00
d725991870
Remove debug print from ECA module
2020-02-10 16:21:33 -08:00
2a7d256fd5
Re-enable mem-efficient/jit activations after torchscript tests
2020-02-10 11:59:36 -08:00
f902bcd54c
Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases
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* select_conv2d -> create_conv2d
* added create_attn to create attention module from string/bool/module
* factor padding helpers into own file, use in both conv2d_same and avg_pool2d_same
* add some more test eca resnet variants
* minor tweaks, naming, comments, consistency
2020-02-10 11:55:03 -08:00
a99ec4e7d1
A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.
2020-02-09 14:46:28 -08:00
Sepehr Sameni
Ross Wightman
Alexey Chernov
talrid
mrT23
Ross Wightman
Chris Ha
Andrew Lavin