e15f979457
Merge pull request #123 from aclex/mobilenetv3_fix_feature_extraction
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Merge changes in feature extraction interface to MobileNetV3
5 years ago
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.
5 years ago
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
5 years ago
56608c9070
Bump version for pypi
5 years ago
0ebcd2eca1
No default img size for inference script. Fixes #109
5 years ago
1a8f5900ab
Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.
5 years ago
e01ccb88ce
Merge pull request #117 from VRandme/typo_eca
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minor PR to fix typos found in #116 and resnet.py
5 years ago
06a50a94a8
Fix minor typos in create_attn.py and resnet.py
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'eca'->'ceca'
and
doest not-> does not
5 years ago
c99a5abed4
Merge pull request #115 from rwightman/mobilenetv2-experiment
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MobileNet-V2 experiments
5 years ago
e34074b4da
Add final weights for MobileNet-V2 experiments
5 years ago
a6a5565de7
Fiddling...
5 years ago
5a16c533ff
Add better resnext50_32x4d weights trained by andravin
5 years ago
bc998cad91
Experimenting with some MobileNetV2 variations to compare against EfficientNet-Lite
5 years ago
71b5cd67da
Merge pull request #105 from rwightman/efficientnet-lite
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EfficientNet-Lite
5 years ago
ef30e7f2b6
Update sotabench with EffNet Lite models
5 years ago
3406e582cf
Add EfficientNet-Lite results, update README
5 years ago
bd05258f7b
EfficientNet-Lite model added w/ converted checkpoints, validation in progress...
5 years ago
7deacf5477
Merge pull request #99 from andravin/save-last
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Modified save_checkpoint to always save last checkpoint. Fixes #98 .
5 years ago
d92cc4da54
Modified save_checkpoint to always save last checkpoint. Fixes #98 .
5 years ago
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
5 years ago
c16f25ced2
Add MobileNetV3 Large weights, results, update README and sotabench for merge
5 years ago
c60069c1eb
Annotate types on drop fns to avoid torchscript error
5 years ago
9fee316752
Enable fixed fanout calc in EfficientNet/MobileNetV3 weight init by default. Fix #84
5 years ago
27b3680d49
Revamp LR noise, move logic to scheduler base. Fixup PlateauLRScheduler and add it as an option.
5 years ago
cc5a11abba
version bump for PyPi update
5 years ago
514b0938c4
Experimenting with per-epoch learning rate noise w/ step scheduler
5 years ago
d77f45a6f6
Forgot to add skresnet34 to sotabench
5 years ago
6620770665
Simpler approach to loading entrypoints in hubconf works properly
5 years ago
e0685dd415
Merge pull request #88 from rwightman/attention
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A lot of attention and much more
5 years ago
f1860ef3a5
Update README.md, check in hubconf experiment (fully dynamic)
5 years ago
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.
5 years ago
f1d5f8a6c4
Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights
5 years ago
569419b38d
Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch
5 years ago
91e2b33d72
Update results with latest NoisyStudent models and SelectiveKernel models
5 years ago
53c47479c4
Batch validation batch size adjustment, tweak L2 crop pct
5 years ago
08553e16b3
Merge branch 'master' into attention
5 years ago
fa38f24967
Update SK network configs, add weights for skresnet8 and skresnext50
5 years ago
f098fda2ca
Add map_location='cpu' to ModelEma resume, should improve #72
5 years ago
b9496995d8
Add L2-475 PyTorch preprocessing result, update sotabench for new weights
5 years ago
ba15ca47e8
Add ported EfficientNet-L2, B0-B7 NoisyStudent weights from TF TPU
5 years ago
5e6dbbaf30
Add CBAM for experimentation
5 years ago
d725991870
Remove debug print from ECA module
5 years ago
2a7d256fd5
Re-enable mem-efficient/jit activations after torchscript tests
5 years ago
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
5 years ago
a99ec4e7d1
A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.
5 years ago
13746a33fc
Big move, layer modules and fn to timm/models/layers
5 years ago
f54612f648
Merge branch 'select_kernel' into attention
5 years ago
4defbbbaa8
Fix module name mistake, start layers sub-package
5 years ago
7011cd0902
A little bit of ECA cleanup
5 years ago
46471df7b2
Merge pull request #82 from VRandme/eca
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ECA-Net Efficient Channel Attention
5 years ago
Ross Wightman