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874 Commits (ffa90e04d31e96c577abe7e3327f72b463957d04)
 

Author SHA1 Message Date
Ross Wightman 90980de4a9 Fix up a few details in NFResNet models, managed stable training. Add support for gamma gain to be applied in activation or ScaleStdConv. Some tweaks to ScaledStdConv.
4 years ago
Ross Wightman 5a8e1e643e Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
4 years ago
Ross Wightman 9a38416fbd
Merge pull request #323 from rwightman/imagenet21k_datasets_more
4 years ago
Ross Wightman 745bc5f723 Mention 21k ViT weights in README.md
4 years ago
Ross Wightman 6306aa79e9
Merge branch 'master' into imagenet21k_datasets_more
4 years ago
Ross Wightman 38d8f67570 Fix potential issue with change to num_classes arg in train/validate.py defaulting to None (rely on model def / default_cfg)
4 years ago
Ross Wightman 587780e56b Update README.md and bump version to 0.4.0
4 years ago
Ross Wightman bb50ac4708 Add DeiT distilled weights and distilled model def. Remove some redudant ViT model args.
4 years ago
Ross Wightman c16e965037 Add some ViT comments and fix a few minor issues.
4 years ago
Ross Wightman 22748f1a2d Convert samples/targets in ParserImageInTar to numpy arrays, slightly less mem usage for massive datasets. Add a few more se/eca model defs to resnet.py
4 years ago
Ross Wightman 5d4c3d0af3 Add enhanced ParserImageInTar that can read images from tars within tars, folders with multiple tars, etc. Additional comment cleanup.
4 years ago
Ross Wightman 55f7dfa9ea Refactor vision_transformer entrpy fns, add pos embedding resize support for fine tuning, add some deit models for testing
4 years ago
Ross Wightman 9d5d4b8df6 Fix silly train.py typo during dataset work
4 years ago
Ross Wightman d55bcc0fee Finishing adding stochastic depth support to BiT ResNetV2 models
4 years ago
Ross Wightman 0a1668f63e Update tests
4 years ago
Ross Wightman 58ccf43150 Add BiT references and knowledge distill links to readme/docs
4 years ago
Ross Wightman 855d6cc217 More dataset work including factories and a tensorflow datasets (TFDS) wrapper
4 years ago
Ross Wightman f8463b8fa9 Version 0.3.4. Tweak setup.cfg and update setup.py metadata
4 years ago
Ross Wightman 20516abc18 Fix some broken tests for ResNetV2 BiT models
4 years ago
Ross Wightman fd9061dbf7 Remove debug print from train.py
4 years ago
Ross Wightman 59ec7e6a53 Merge branch 'master' into imagenet21k_datasets_more
4 years ago
Ross Wightman fc3d9183e8
Merge pull request #335 from kecsap/new_option
4 years ago
Ross Wightman e7a9ddf982
Merge pull request #334 from kecsap/links
4 years ago
Ross Wightman 19816fe226 Add citation info
4 years ago
Csaba Kertesz e42b140ade Add --input-size option to scripts to specify full input dimensions from command-line
4 years ago
Csaba Kertesz 7cae7e7035 Follow links during dataset scanning
4 years ago
Ross Wightman 1d01c2b68c
Update README.md
4 years ago
Ross Wightman c96e9f99a0 Update version to 0.3.3
4 years ago
Ross Wightman a7d0a8b5b2 Update results csv files with latest models, incl 101D, 152D, 200D, SE152D ResNets and yet to be merged BiT and ViT-R50 models.
4 years ago
Ross Wightman 4e2533db77 Add 320x320 model default cfgs for 101D and 152D ResNets. Add SEResNet-152D weights and 320x320 cfg.
4 years ago
Ross Wightman 0167f749d3 Remove some old __future__ imports
4 years ago
Ross Wightman 85bf4b8cd6 Add setup.cfg for conda / fastai integration
4 years ago
Ross Wightman e553480b67 Add 21843 synset txt for google 21k models like BiT/ViT
4 years ago
Ross Wightman e35e9760a6 More work on dataset / parser split and imagenet21k (tar) support
4 years ago
Ross Wightman ce69de70d3 Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models
4 years ago
Ross Wightman 231d04e91a ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.
4 years ago
Ross Wightman de6046e213 Initial commit for dataset / parser reorg to support additional datasets / types
4 years ago
Ross Wightman 392595c7eb Add pool_size to default cfgs for new models to prevent tests from failing. Add explicit 200D_320 model entrypoint for next benchmark run.
4 years ago
Ross Wightman 7a75b8d033
Update README.md
4 years ago
Ross Wightman b1f1228a41 Add ResNet101D, 152D, and 200D weights, remove meh 66d model
4 years ago
Ross Wightman 198f6ea0f3
Merge pull request #302 from Jasha10/create_optimizer-opt_args
4 years ago
Jasha 7c56c718f3 Configure create_optimizer with args.opt_args
4 years ago
Ross Wightman 51d74d91da Update README.md
4 years ago
Ross Wightman 9a25fdf3ad
Merge pull request #297 from rwightman/ema_simplify
4 years ago
Ross Wightman c9ebe86d03
Merge pull request #300 from tmkkk/real-labels-fix
4 years ago
Tymoteusz Wiśniewski de15b43865 Fix a bug with accuracy retrieving from RealLabels
4 years ago
Ross Wightman cd72e66eff Bug in last mod for features_only default_cfg
4 years ago
Ross Wightman 867a0e5a04 Add default_cfg back to models wrapped in feature extraction module as per discussion in #294.
4 years ago
Ross Wightman 4ca52d73d8 Add separate set and update method to ModelEmaV2
4 years ago
Ross Wightman 2ed8f24715 A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.
4 years ago