6cdeca24a3
Some cleanup and fixes for initial BlurPool impl. Still some testing and tweaks to go...
5 years ago
acd1b6cccd
Implement Functional Blur on resnet.py
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1. add ResNet argument blur=''
2. implement blur for maxpool and strided convs in downsampling blocks
5 years ago
ce3d82b58b
Update blurpool.py
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clean up code for PR
5 years ago
3a287a6e76
Create blurpool.py
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Initial implementation of blur layer.
currently tests as correct against Downsample of original github
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
3406e582cf
Add EfficientNet-Lite results, update README
5 years ago
bd05258f7b
EfficientNet-Lite model added w/ converted checkpoints, validation in progress...
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
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
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
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
d0eb59ef46
Remove unused default_init for EfficientNets, experimenting with fanout calc for #84
5 years ago
e6a762346a
Implement Adaptive Kernel selection
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When channel size is given,
calculate adaptive kernel size according to original paper.
Otherwise use the given kernel size(k_size), which defaults to 3
5 years ago
13e8da2b46
SelectKernel split_input works best when input channels split like grouped conv, but output is full width. Disable zero_init for SK nets, seems a bad combo.
5 years ago
6db087a1ff
Merge remote-tracking branch 'upstream/master' into eca
5 years ago
904c618040
Update EcaModule.py
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Make pylint happy
(commas, unused imports, missed imports)
5 years ago
db91ba053b
EcaModule(CamelCase)
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CamelCased EcaModule.
Renamed all instances of ecalayer to EcaModule.
eca_module.py->EcaModule.py
5 years ago
5c4991a088
Add PyTorch trained EfficientNet-ES weights from Andrew Lavin
5 years ago
d04ff95eda
Merge branch 'master' into eca
5 years ago
d63ae121d5
Clean up eca_module code
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functionally similar
adjusted rwightman's version of reshaping and viewing.
Use F.pad for circular eca version for cleaner code
5 years ago
d66819d1f3
Indentation mistake. Fixes #81
5 years ago
f87fcd7e88
Implement Eca modules
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implement ECA module by
1. adopting original eca_module.py into models folder
2. adding use_eca layer besides every instance of SE layer
5 years ago
4808b3c32f
Bump version for PyPi update, fix few out of date README items/mistakes, add README updates for TF EfficientNet-B8 (RandAugment)
5 years ago
7d07ebb660
Adding some configs to sknet, incl ResNet50 variants from 'Compounding ... Assembled Techniques' paper and original SKNet50
5 years ago
Ross Wightman