Ross Wightman
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b401952caf
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Add newly added vision transformer large/base 224x224 weights ported from JAX official repo
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4 years ago |
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Ross Wightman
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61200db0ab
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in_chans=1 working w/ pretrained weights for vision_transformer
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4 years ago |
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Ross Wightman
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e90edce438
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Support native silu activation (aka swish). An optimized ver is available in PyTorch 1.7.
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4 years ago |
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Ross Wightman
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da6cd2cc1f
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Fix regression for pretrained classifier loading when using entrypt functions directly
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4 years ago |
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Ross Wightman
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f591e90b0d
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Make sure num_features attr is present in vit models as with others
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4 years ago |
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Ross Wightman
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f944242cb0
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Fix #262, num_classes arg mixup. Make vision_transformers a bit closer to other models wrt get/reset classfier/forward_features. Fix torchscript for ViT.
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4 years ago |
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Ross Wightman
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736f209e7d
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Update vision transformers to be compatible with official code. Port official ViT weights from jax impl.
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4 years ago |
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Ross Wightman
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27a93e9de7
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Improve test crop for ViT models. Small now 77.85, added base weights at 79.35 top-1.
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4 years ago |
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Ross Wightman
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d4db9e7977
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Add small vision transformer weights. 77.42 top-1.
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4 years ago |
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Ross Wightman
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f31933cb37
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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4 years ago |
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Ross Wightman
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fcb6258877
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Add missing leaky_relu layer factory defn, update Apex/Native loss scaler interfaces to support unscaled grad clipping. Bump ver to 0.2.2 for pending release.
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4 years ago |
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Ross Wightman
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e8e2d9cabf
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Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.
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4 years ago |
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Ross Wightman
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e8ca45854c
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More models in sotabench, more control over sotabench run, dataset filename extraction consistency
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4 years ago |
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Ross Wightman
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9c406532bd
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Add EfficientNet-EdgeTPU-M (efficientnet_em) model trained natively in PyTorch. More sotabench fiddling.
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4 years ago |
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Ross Wightman
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c40384f5bd
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Add ResNet weights. 80.5 (top-1) ResNet-50-D, 77.1 ResNet-34-D, 72.7 ResNet-18-D.
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4 years ago |
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Ross Wightman
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33f8a1bf36
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Updated README, add wide_resnet50_2 and seresnext50_32x4d weights
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4 years ago |
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Ross Wightman
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751b0bba98
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Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool
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4 years ago |
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Ross Wightman
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9c297ec67d
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Cleanup Apex vs native AMP scaler state save/load. Cleanup CheckpointSaver a bit.
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4 years ago |
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Ross Wightman
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80c9d9cc72
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Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'
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4 years ago |
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Ross Wightman
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90a01f47d1
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hrnet features_only pretrained weight loading issue. Fix #232.
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4 years ago |
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Ross Wightman
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110a7c4982
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AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992
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4 years ago |
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Ross Wightman
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470220b1f4
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Fix MobileNetV3 crash with global_pool='', output consistent with other models but not equivalent due to efficient head.
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4 years ago |
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Ross Wightman
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fc8b8afb6f
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Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance.
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4 years ago |
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Ross Wightman
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0f5d9d8166
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Add CSPResNet50 weights, 79.6 top-1 at 256x256
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4 years ago |
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Ross Wightman
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b1b6e7c361
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Fix a few more issues related to #216 w/ TResNet (space2depth) and FP16 weights in wide resnets. Also don't completely dump pretrained weights in in_chans != 1 or 3 cases.
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4 years ago |
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Ross Wightman
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512b2dd645
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Add new EfficientNet-B3 and RegNetY-3.2GF weights, both just over 82 top-1
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4 years ago |
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Ross Wightman
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6890300877
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Add DropPath (stochastic depth) to RegNet
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4 years ago |
Yusuke Uchida
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f6b56602f9
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fix test_model_default_cfgs
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4 years ago |
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Ross Wightman
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d5145fa4d5
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Change default_cfg names for senet to include the legacy and match model names
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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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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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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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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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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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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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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
