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Commits on Jan 25, 2021

• Mention 21k ViT weights in README.md

  rwightman

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• Merge branch 'master' into imagenet21k_datasets_more

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• Fix potential issue with change to num_classes arg in train/validate.py defaulting to None (rely on model def / default_cfg)

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• Update README.md and bump version to 0.4.0

  rwightman

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• Add DeiT distilled weights and distilled model def. Remove some redudant ViT model args.

  rwightman

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• Add some ViT comments and fix a few minor issues.

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Commits on Jan 23, 2021

• 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

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Commits on Jan 22, 2021

• Add enhanced ParserImageInTar that can read images from tars within tars, folders with multiple tars, etc. Additional comment cleanup.

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Commits on Jan 19, 2021

• Refactor vision_transformer entrpy fns, add pos embedding resize support for fine tuning, add some deit models for testing

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Commits on Jan 17, 2021

• Fix silly train.py typo during dataset work

  rwightman

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• Finishing adding stochastic depth support to BiT ResNetV2 models

  rwightman

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Commits on Jan 16, 2021

• Update tests

  rwightman

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• Add BiT references and knowledge distill links to readme/docs

  rwightman

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• More dataset work including factories and a tensorflow datasets (TFDS) wrapper

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Commits on Jan 6, 2021

• Version 0.3.4. Tweak setup.cfg and update setup.py metadata

  rwightman

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Commits on Jan 5, 2021

• Fix some broken tests for ResNetV2 BiT models

  rwightman

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Commits on Jan 4, 2021

• Remove debug print from train.py

  rwightman

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• Merge branch 'master' into imagenet21k_datasets_more

  rwightman

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• Merge pull request #335 from kecsap/new_option

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• Merge pull request #334 from kecsap/links

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Commits on Jan 3, 2021

• Add citation info

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• Add --input-size option to scripts to specify full input dimensions from command-line

  kecsap

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• Follow links during dataset scanning

  kecsap

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• Update README.md

  rwightman

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• Update version to 0.3.3

  rwightman

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• Update results csv files with latest models, incl 101D, 152D, 200D, SE152D ResNets and yet to be merged BiT and ViT-R50 models.

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• Add 320x320 model default cfgs for 101D and 152D ResNets. Add SEResNet-152D weights and 320x320 cfg.

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• Remove some old __future__ imports

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• Add setup.cfg for conda / fastai integration

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Commits on Dec 29, 2020

• Add 21843 synset txt for google 21k models like BiT/ViT

  rwightman

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• More work on dataset / parser split and imagenet21k (tar) support

  rwightman

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• Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models

  rwightman

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• 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.

  rwightman

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• Initial commit for dataset / parser reorg to support additional datasets / types

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Commits on Dec 19, 2020

• Add pool_size to default cfgs for new models to prevent tests from failing. Add explicit 200D_320 model entrypoint for next benchmark run.

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