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14 Commits (74fcd4c50e54d4e9a45c835564bfaccb713c40ad)

Author SHA1 Message Date
Ross Wightman 9811e229f7 Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
4 years ago
Ross Wightman b1f1a54de9 More uniform treatment of classifiers across all models, reduce code duplication.
4 years ago
Ross Wightman 3b9004bef9 Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces
4 years ago
Ross Wightman a66df5fb91 More model feature extraction support, start to deprecate senet.py, dilations added to regnet, add proper aligned xception
4 years ago
Ross Wightman d23a2697d0 Working on feature extraction, interfaces refined, a number of models working, some in progress.
4 years ago
Ross Wightman 88129b2569 Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.
5 years ago
Vyacheslav Shults a7ebe09029 Replace all None by nn.Identity() in all models reset_classifier when False-values num_classes is given.
5 years ago
Ross Wightman 13746a33fc Big move, layer modules and fn to timm/models/layers
5 years ago
Ross Wightman f96b3e5e92 InceptionResNetV2 torchscript compatible
5 years ago
Ross Wightman 3bef524f9c Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.
5 years ago
Ross Wightman 171c0b88b6 Add model registry and model listing fns, refactor model_factory/create_model fn
5 years ago
Ross Wightman 87b92c528e Some pretrianed URL changes
5 years ago
Ross Wightman 6cc214bd7a Consistency in model entrypoints
5 years ago
Ross Wightman aa4354f466 Big re-org, working towards making pip/module as 'timm'
5 years ago