1. 09 May, 2022 1 commit
    • YosuaMichael's avatar
      Adding resnext101 64x4d model (#5935) · 4c02f103
      YosuaMichael authored
      * Add resnext101_64x4d model definition
      
      * Add test for resnext101_64x4d
      
      * Add resnext101_64x4d weight
      
      * Update checkpoint to use EMA weigth
      
      * Add quantization model signature for resnext101_64x4d
      
      * Fix class name and update accuracy using 1 gpu and batch_size=1
      
      * Apply ufmt
      
      * Update the quantized weight and accuracy that we still keep the training log
      
      * Add quantized expect file
      
      * Update docs and fix acc1
      
      * Add recipe for quantized to PR
      
      * Update models.rst
      4c02f103
  2. 05 May, 2022 1 commit
  3. 04 May, 2022 2 commits
  4. 03 May, 2022 8 commits
  5. 28 Apr, 2022 5 commits
  6. 27 Apr, 2022 8 commits
  7. 26 Apr, 2022 3 commits
  8. 25 Apr, 2022 5 commits
  9. 22 Apr, 2022 2 commits
    • Vasilis Vryniotis's avatar
      Restructuring metrics meta-data (#5859) · 6f016dd9
      Vasilis Vryniotis authored
      * Restructuring metrics meta-data for detection, segmentation and optical flow.
      
      * Renaming acc to pixel_acc for segmentation
      
      * Restructure video meta-data.
      
      * Restructure classification and quantization meta-data.
      
      * Fix tests.
      
      * Fix documentation
      6f016dd9
    • YosuaMichael's avatar
      Adding revamp docs for vision_transformers and regnet (#5856) · ca265374
      YosuaMichael authored
      * Add docs for regnet, still need to update the comment docs on models
      
      * Fix a little typo on .rst file
      
      * Update regnet docstring
      
      * Add vision_transformer docs, and fix typo on regnet docs
      
      * Update docstring to make sure it does not exceed 120 chars per line
      
      * Improve formatting
      
      * Change the new line location for vision_transformer docstring
      ca265374
  10. 19 Apr, 2022 3 commits
    • Nicolas Hug's avatar
      Add docs for `SomeWeight.DEFAULT` fields (#5831) · e8cb0bac
      Nicolas Hug authored
      * First PR for model doc revamp
      
      * Deactivating fail on warning, temporarily
      
      * Remove commnet
      
      * Minor changes
      
      * Typos
      
      * Added TODO in Makefile
      
      * Keep old models.rst file intact, move new docs into new models_new.rst file
      
      * Added docs LOL
      e8cb0bac
    • Nicolas Hug's avatar
      Add docs for SqueezeNet (#5832) · f1cd8b23
      Nicolas Hug authored
      f1cd8b23
    • Nicolas Hug's avatar
      Model doc revamp - first PR (#5821) · 111fe85d
      Nicolas Hug authored
      * First PR for model doc revamp
      
      * Deactivating fail on warning, temporarily
      
      * Remove commnet
      
      * Minor changes
      
      * Typos
      
      * Added TODO in Makefile
      
      * Keep old models.rst file intact, move new docs into new models_new.rst file
      111fe85d
  11. 05 Apr, 2022 1 commit
    • YosuaMichael's avatar
      Adding the huge vision transformer from SWAG (#5721) · 63576c9f
      YosuaMichael authored
      
      
      * Add vit_b_16_swag
      
      * Better handling idiom for image_size, edit test_extended_model to handle case where number of param differ from default due to different image size input
      
      * Update the accuracy to the experiment result on torchvision model
      
      * Fix typo missing underscore
      
      * raise exception instead of torch._assert, add back publication year (accidentally deleted)
      
      * Add license information on meta and readme
      
      * Improve wording and fix typo for pretrained model license in readme
      
      * Add vit_l_16 weight
      
      * Update README.rst
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      
      * Update the accuracy meta on vit_l_16_swag model to result from our experiment
      
      * Add vit_h_14_swag model
      
      * Add accuracy from experiments
      
      * Add to vit_h_16 model to hubconf.py
      
      * Add docs and expected pkl file for test
      
      * Remove legacy compatibility for ViT_H_14 model
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      
      * Test vit_h_14 with smaller image_size to speedup the test
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      63576c9f
  12. 23 Mar, 2022 1 commit