1. 16 Aug, 2023 2 commits
  2. 14 Aug, 2023 1 commit
  3. 09 Aug, 2023 1 commit
  4. 04 Aug, 2023 1 commit
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  6. 31 Jul, 2023 2 commits
  7. 28 Jul, 2023 1 commit
  8. 27 Jul, 2023 1 commit
  9. 21 Jun, 2023 1 commit
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  11. 16 Mar, 2023 1 commit
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  13. 24 Feb, 2023 9 commits
  14. 23 Feb, 2023 2 commits
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  17. 01 Feb, 2023 2 commits
  18. 11 Jan, 2023 2 commits
  19. 04 Jan, 2023 1 commit
  20. 17 Nov, 2022 1 commit
    • Aditya Oke's avatar
      Add Video SwinTransformer (#6521) · b1054cbb
      Aditya Oke authored
      
      
      * Just start adding mere copy paste
      
      * Replace d with t and D with T
      
      * Align swin transformer video to image a bit
      
      * Rename d -> t
      
      * align with 2d impl
      
      * align with 2d impl
      
      * Add helpful comments and config for 3d
      
      * add docs
      
      * Add docs
      
      * Add configurations
      
      * Add docs
      
      * Fix bugs
      
      * Fix wrong edit
      
      * Fix wrong edit
      
      * Fix bugs
      
      * Fix bugs
      
      * Fix as per fx suggestions
      
      * Update torchvision/models/video/swin_transformer.py
      
      * Fix as per fx suggestions
      
      * Fix expect files and code
      
      * Update the expect files
      
      * Modify video swin
      
      * Add min size and min temporal size, num params
      
      * Add flops and size
      
      * Fix types
      
      * Fix url recipe
      Co-authored-by: default avatarYosua Michael Maranatha <yosuamichael@fb.com>
      b1054cbb
  21. 11 Nov, 2022 1 commit
    • toni057's avatar
      Adding FLOPs and size to model metadata (#6936) · deba0562
      toni057 authored
      
      
      * Adding FLOPs and size to model metadata
      
      * Adding weight size to quantization models
      
      * Small refactor of rich metadata
      
      * Removing unused code
      
      * Fixing wrong entries
      
      * Adding .DS_Store to gitignore
      
      * Renaming _flops to _ops
      
      * Adding number of operations to quantization models
      
      * Reflecting _flops change to _ops
      
      * Renamed ops and weight size in individual model doc pages
      
      * Linter fixes
      
      * Rounding ops to first decimal
      
      * Rounding num ops and sizes to 3 decimals
      
      * Change naming of columns.
      
      * Update tables
      Co-authored-by: default avatarToni Blaslov <tblaslov@fb.com>
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      deba0562
  22. 04 Oct, 2022 1 commit
  23. 28 Sep, 2022 1 commit
    • Nicolas Hug's avatar
      Remove deprecated APIs for 0.14 (#6258) · 7b8a6db7
      Nicolas Hug authored
      
      
      * Remove Kinetics400 class
      
      * Remove '2007-test' in VOC
      
      * Remove some MobileNet layer classes
      
      * Remove torchvision/models/segmentation/segmentation.py
      
      * Remove some MultiScaleRoIAlign methods
      
      * Remove torchvision/transforms/_functional_video.py
      
      * Remove torchvision/transforms/_transforms_video.py
      
      * Remove resample parameter in transforms
      
      * Remove 'range' parameter
      
      * Remove 'fill_value' parameter in transforms
      
      * Revert to original warning for C++ models - looks like we should still keep them around?
      
      * pre-commit
      
      * Fix docs
      
      * Remove test/test_transforms_video.py
      
      * Some fixes
      
      * Remove more tests
      
      * Revert changes to C++ models
      
      * Add back _transforms_video and change warning message
      
      * Change back the warning message, and will change the warning message on separate PR
      Co-authored-by: default avatarYosuaMichael <yosuamichaelm@gmail.com>
      Co-authored-by: default avatarYosua Michael Maranatha <yosuamichael@fb.com>
      7b8a6db7
  24. 23 Sep, 2022 1 commit
    • Ponku's avatar
      MaxVit model (#6342) · 6b1646ca
      Ponku authored
      
      
      * Added maxvit architecture and tests
      
      * rebased + addresed comments
      
      * Revert "rebased + addresed comments"
      
      This reverts commit c5b28398cd48d2f3403c7c8eeefbaba9df05fcfe.
      
      * Re-added model changes after revert
      
      * aligned with partial original implementation
      
      * removed submitit script fixed lint
      
      * mypy fix for too many arguments
      
      * updated old tests
      
      * removed per batch lr scheduler and seed setting
      
      * removed ontap
      
      * added docs, validated weights
      
      * fixed test expect, moved shape assertions in the begging for torch.fx compatibility
      
      * mypy fix
      
      * lint fix
      
      * added legacy interface
      
      * added weight link
      
      * updated docs
      
      * Update references/classification/train.py
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      
      * Update torchvision/models/maxvit.py
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      
      * adressed comments
      
      * update ra_maginuted and augmix_severity default values
      
      * adressed some comments
      
      * remove input_channels parameter
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      6b1646ca
  25. 09 Sep, 2022 1 commit
  26. 08 Sep, 2022 1 commit