AFLALO, Jonathan Isaac
9c15d57505
added efficientnet pruned weights
5 years ago
Ross Wightman
ea300709f0
Fix model create fn not passing num_classes through. Fix #135
5 years ago
Ross Wightman
2c438c4e0d
Merge branch 'master' of github.com:rwightman/pytorch-models
5 years ago
Ross Wightman
2681a8d618
Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop
5 years ago
Ross Wightman
9590f301a9
Merge branch 'blur' of https://github.com/VRandme/pytorch-image-models into VRandme-blur
5 years ago
Ross Wightman
a5220ad3aa
Merge pull request #125 from Separius/patch-1
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fix typo in eca
5 years ago
Ross Wightman
0834fbc01c
Move pruned model adapt strings to separate txt files. A few minor formatting alignment tweaks.
5 years ago
Ross Wightman
ba793f5c1c
Merge branch 'adding_ECA_resnet' of https://github.com/yoniaflalo/pytorch-image-models into yoniaflalo-adding_ECA_resnet
5 years ago
AFLALO, Jonathan Isaac
07f19dd699
added eca resnet
5 years ago
Ross Wightman
be7c784d21
Small TResNet simplification, just use SelectAdaptivePool, don't notice any perf difference
5 years ago
Ross Wightman
e3a98171b2
Remove some CRLF that made it into TResNet merge
5 years ago
Ross Wightman
0004f37d25
Some TResNet cleanup.
...
* allow use of global pool arg, test-time-pooling
* clean checkpoints to just contain state dict, add 448 res checkpoints
* support DataParallel via lazy filter creation for JIT Downsample
* some minor formatting (mostly alignment) preferences
5 years ago
Sepehr Sameni
20290b5b56
fix typo in eca
5 years ago
Ross Wightman
ebf82b84ac
Merge pull request #122 from mrT23/master
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TResNet models
5 years ago
Alexey Chernov
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
talrid
8a63c1add8
finalizing
5 years ago
talrid
6209146738
TResNet models
5 years ago
Ross Wightman
1a8f5900ab
Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.
5 years ago
Chris Ha
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
Ross Wightman
1a9ab07307
One too many changes at a time, fix missing C
5 years ago
Ross Wightman
f17b42bc33
Blur filter no longer a buffer
5 years ago
Ross Wightman
6cdeca24a3
Some cleanup and fixes for initial BlurPool impl. Still some testing and tweaks to go...
5 years ago
Chris Ha
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
Chris Ha
ce3d82b58b
Update blurpool.py
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clean up code for PR
5 years ago
Chris Ha
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
Ross Wightman
c99a5abed4
Merge pull request #115 from rwightman/mobilenetv2-experiment
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MobileNet-V2 experiments
5 years ago
Ross Wightman
e34074b4da
Add final weights for MobileNet-V2 experiments
5 years ago
Ross Wightman
a6a5565de7
Fiddling...
5 years ago
Ross Wightman
5a16c533ff
Add better resnext50_32x4d weights trained by andravin
5 years ago
Ross Wightman
bc998cad91
Experimenting with some MobileNetV2 variations to compare against EfficientNet-Lite
5 years ago
Ross Wightman
3406e582cf
Add EfficientNet-Lite results, update README
5 years ago
Ross Wightman
bd05258f7b
EfficientNet-Lite model added w/ converted checkpoints, validation in progress...
5 years ago
Ross Wightman
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
Ross Wightman
c16f25ced2
Add MobileNetV3 Large weights, results, update README and sotabench for merge
5 years ago
Ross Wightman
c60069c1eb
Annotate types on drop fns to avoid torchscript error
5 years ago
Ross Wightman
9fee316752
Enable fixed fanout calc in EfficientNet/MobileNetV3 weight init by default. Fix #84
5 years ago
Ross Wightman
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
Ross Wightman
f1d5f8a6c4
Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights
5 years ago
Ross Wightman
569419b38d
Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch
5 years ago
Ross Wightman
53c47479c4
Batch validation batch size adjustment, tweak L2 crop pct
5 years ago
Ross Wightman
08553e16b3
Merge branch 'master' into attention
5 years ago
Ross Wightman
fa38f24967
Update SK network configs, add weights for skresnet8 and skresnext50
5 years ago
Ross Wightman
ba15ca47e8
Add ported EfficientNet-L2, B0-B7 NoisyStudent weights from TF TPU
5 years ago
Ross Wightman
5e6dbbaf30
Add CBAM for experimentation
5 years ago
Ross Wightman
d725991870
Remove debug print from ECA module
5 years ago
Ross Wightman
2a7d256fd5
Re-enable mem-efficient/jit activations after torchscript tests
5 years ago
Ross Wightman
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
Ross Wightman
a99ec4e7d1
A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.
5 years ago
Ross Wightman
13746a33fc
Big move, layer modules and fn to timm/models/layers
5 years ago
Ross Wightman
f54612f648
Merge branch 'select_kernel' into attention
5 years ago