Ross Wightman
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5e333b899f
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README / doc tweaks
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4 years ago |
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Ross Wightman
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dfe80414a6
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Add bool arg helper
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4 years ago |
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Ross Wightman
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fa28067704
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Add more augmentation arguments, including a no_aug disable flag. Fix #209
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4 years ago |
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Ross Wightman
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e3f58fc90c
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Continuing README and documentation updates
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4 years ago |
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Ross Wightman
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e3c11a36dc
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Start updating README and docs
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4 years ago |
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Ross Wightman
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b1f1a54de9
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More uniform treatment of classifiers across all models, reduce code duplication.
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4 years ago |
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Ross Wightman
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9806f3e1ff
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autosquash github workflow didn't work out, removing
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4 years ago |
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Ross Wightman
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b496b7bde9
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Re-ran batch validation on all models across all sets
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4 years ago |
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Ross Wightman
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ad150e7018
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Update results csv file rank/diff script and small validate script tweak for batch validation
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4 years ago |
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Ross Wightman
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d72ddafe56
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Fix some checkpoint / model str regressions
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4 years ago |
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Ross Wightman
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ecdeb470f2
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Cleanup real labels in validate.py, no need to track original, will do that via exteran script
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4 years ago |
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Ross Wightman
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ac18adb9c3
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Remove debug print from RexNet
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4 years ago |
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Ross Wightman
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c53ec33ae0
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Add synset/label indices for results generation. Add 'valid labels' to validation script to support imagenet-a/r label subsets properly.
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4 years ago |
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Ross Wightman
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ec4976fdba
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Add EfficientNet-Lite0 weights trained with this code by @hal-314, 75.484 top-1
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4 years ago |
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Ross Wightman
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9ecd16bd7b
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Add new seresnet50 (non-legacy) model weights, 80.274 top-1
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4 years ago |
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Ross Wightman
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4805dd1e79
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Fix incorrect dataset name, add new datasets to results delta script
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4 years ago |
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Ross Wightman
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ea58e0bc16
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Disable big models for MacOS test since they are starting to fail frequently.
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4 years ago |
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Ross Wightman
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7995295968
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Merge branch 'logger' into features. Change 'logger' to '_logger'.
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4 years ago |
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Ross Wightman
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1998bd3180
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Merge branch 'feature/AB/logger' of https://github.com/antoinebrl/pytorch-image-models into logger
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4 years ago |
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Ross Wightman
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6be878c22a
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Update results README to include robustness and real labels tests. Include labels files used in results gen.
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4 years ago |
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Ross Wightman
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6c17d57a2c
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Fix some attributions, add copyrights to some file docstrings
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4 years ago |
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Ross Wightman
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a69c0e04f0
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Fix pool size in cspnet
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4 years ago |
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Ross Wightman
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14ef7a0dd6
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Rename csp.py -> cspnet.py
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4 years ago |
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Ross Wightman
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ec37008432
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Add pretrained weight links to CSPNet for cspdarknet53, cspresnext50
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4 years ago |
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Sangdoo Yun
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e93e571f7a
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Add `adamp` and 'sgdp' optimizers.
Update requirements.txt
Update optim_factory.py
Add `adamp` optimizer
Update __init__.py
copy files of adamp & sgdp
Create adamp.py
Update __init__.py
Create sgdp.py
Update optim_factory.py
Update optim_factory.py
Update requirements.txt
Update adamp.py
Update sgdp.py
Update sgdp.py
Update adamp.py
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4 years ago |
|
Ross Wightman
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0915beddad
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Add autosquash workflow
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4 years ago |
|
Ross Wightman
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08016e839d
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Cleanup FeatureInfo getters, add TF models sourced Xception41/65/71 weights
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4 years ago |
|
Ross Wightman
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7ba5a384d3
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Add ReXNet w/ remapped weights, feature support
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4 years ago |
|
Ross Wightman
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c9d54bc1c3
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Add HRNet feature extraction, fix senet type, lower feature testing res to 96x96
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4 years ago |
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Ross Wightman
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2ac663f340
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Add feature support to legacy senets, add 32x32 resnext models to exclude list for feature testing.
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4 years ago |
|
Ross Wightman
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701dba303e
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Again
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4 years ago |
|
Ross Wightman
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648ba41b4b
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Try again with the worfklow threads
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4 years ago |
|
Ross Wightman
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52b6e72e86
|
Try defining num threads for github workflow tests explicity (2)
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4 years ago |
|
Ross Wightman
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c146b54abc
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Cleanup EfficientNet/MobileNetV3 feature extraction a bit, only two tap locations now, small mobilenetv3 models work
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4 years ago |
|
Ross Wightman
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68fd8a267b
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Merge branch 'master' into features
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4 years ago |
|
Ross Wightman
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4e61c6a12d
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Cleanup, refactoring of Feature extraction code, add tests, fix tests, non hook feature extraction working with torchscript
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4 years ago |
|
Ross Wightman
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6eec3fb4a4
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Move FeatureHooks into features.py, switch EfficientNet, MobileNetV3 to use build model helper
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4 years ago |
|
Ross Wightman
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9eba134d79
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More models supporting feature extraction, xception, gluon_xception, inception_v3, inception_v4, pnasnet, nasnet, dla. Fix DLA unused projection params.
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4 years ago |
|
Ross Wightman
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298fba09ac
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Back out some activation hacks trialing upcoming pytorch changes
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4 years ago |
|
Ross Wightman
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3b9004bef9
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Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces
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4 years ago |
|
Ross Wightman
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e2cc481310
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Update CSP ResNets for cross expansion without activation. Fix VovNet IABN compatibility with fixed activation arg.
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5 years ago |
|
Ross Wightman
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3b6cce4c95
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Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs.
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5 years ago |
|
Ross Wightman
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3aebc2f06c
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Switch DPN to use BnAct layer, train a new DPN 68b model with RA to 79.21
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5 years ago |
|
Ross Wightman
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17f4dd2778
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Merge branch 'michalwols-docs'
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5 years ago |
|
Ross Wightman
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022130d229
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Merge branch 'docs' of https://github.com/michalwols/pytorch-image-models into michalwols-docs
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5 years ago |
|
Ross Wightman
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31cf1251c1
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Update setup.py
Exclude results from possible packaging as it has .py now
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5 years ago |
|
Ross Wightman
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0d5550c1e2
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Merge pull request #183 from KushajveerSingh/results_diff
Add rank difference, and top-1/top-5 difference from ImageNet-1k validation for the 3 additional test sets
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5 years ago |
|
KushajveerSingh
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5699e8429f
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set precision=2 in param_count
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5 years ago |
|
KushajveerSingh
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6526ccb4a7
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set precision=3 in results
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5 years ago |
|
KushajveerSingh
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856f6181f7
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add {rank,top1,top5}_diff in results
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5 years ago |
