1. 07 Jul, 2022 1 commit
    • YosuaMichael's avatar
      Adding video accuracy for video_classification reference script (#6241) · 8a45147f
      YosuaMichael authored
      * Add ensembled video accuracy on video reference script
      
      * Change the parser func to be similar with classification reference
      
      * Fix typo type->dtype
      
      * Use custom kinetics
      
      * Fix dataset to not getting start_pts
      
      * Change dataset name, and put video_idx at the back
      
      * Ufmt format
      
      * Use functional softmax, updating meta and use it to overwrite eval param
      
      * Fix typo
      
      * Put the eval parameters on the docs for now
      
      * Change meta for video resnet to use frame-rate 15, also change wording on docs
      8a45147f
  2. 24 Jun, 2022 1 commit
    • Vasilis Vryniotis's avatar
      Add MViT architecture in TorchVision (#6198) · fb7f9a16
      Vasilis Vryniotis authored
      * Adding MViT v2 architecture (#6105)
      
      * Adding mvitv2 architecture
      
      * Fixing memory issues on tests and minor refactorings.
      
      * Adding input validation
      
      * Adding docs and minor refactoring
      
      * Add `min_temporal_size` in the supported meta-data.
      
      * Switch Tuple[int, int, int] with List[int] to support easier the 2D case
      
      * Adding more docs and references
      
      * Change naming conventions of classes to follow the same pattern as MobileNetV3
      
      * Fix test breakage.
      
      * Update todos
      
      * Performance optimizations.
      
      * Add support to MViT v1 (#6179)
      
      * Switch implementation to v1 variant.
      
      * Fix docs
      
      * Adding back a v2 pseudovariant
      
      * Changing the way the network are configured.
      
      * Temporarily removing v2
      
      * Adding weights.
      
      * Expand _squeeze/_unsqueeze to support arbitrary dims.
      
      * Update references script.
      
      * Fix tests.
      
      * Fixing frames and preprocessing.
      
      * Fix std/mean values in transforms.
      
      * Add permanent Dropout and update the weights.
      
      * Update accuracies.
      
      * Fix documentation
      
      * Remove unnecessary expected file.
      
      * Skip big model test
      
      * Rewrite the configuration logic to reduce LOC.
      
      * Fix mypy
      fb7f9a16