pytorchvideo_trainer/pytorchvideo_trainer/conf/datamodule/transforms/kinetics_contrastive.yaml [10:56]:
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        p_color_jitter: 0.8
        p_convert_gray: 0.2
      - _target_: pytorchvideo.transforms.Normalize
        mean: [0.45, 0.45, 0.45]
        std: [0.225, 0.225, 0.225]
      - _target_: pytorchvideo.transforms.RandomResizedCrop
        target_height: 224
        target_width: 224
        scale: [0.2, 0.766]
        aspect_ratio: [0.75, 1.3333]
      - _target_: torchvision.transforms.RandomHorizontalFlip
        p: 0.5
    key: video
  - _target_: pytorchvideo.transforms.RemoveKey
    key: audio
val:
  - _target_: pytorchvideo.transforms.ApplyTransformToKey
    transform:
      - _target_: pytorchvideo.transforms.UniformTemporalSubsample
        num_samples: 8
      - _target_: pytorchvideo.transforms.Div255
      - _target_: pytorchvideo.transforms.Normalize
        mean: [0.45, 0.45, 0.45]
        std: [0.225, 0.225, 0.225]
      - _target_: pytorchvideo.transforms.ShortSideScale
        size: 256
      - _target_: torchvision.transforms.CenterCrop
        size: 256
    key: video
  - _target_: pytorchvideo.transforms.RemoveKey
    key: audio
test:
  - _target_: pytorchvideo.transforms.ApplyTransformToKey
    transform:
      - _target_: pytorchvideo.transforms.UniformTemporalSubsample
        num_samples: 8
      - _target_: pytorchvideo.transforms.Div255
      - _target_: pytorchvideo.transforms.Normalize
        mean: [0.45, 0.45, 0.45]
        std: [0.225, 0.225, 0.225]
      - _target_: pytorchvideo.transforms.ShortSideScale
        size: 256
    key: video
  - _target_: pytorchvideo.transforms.UniformCropVideo
    size: 256
  - _target_: pytorchvideo.transforms.RemoveKey
    key: audio
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pytorchvideo_trainer/pytorchvideo_trainer/conf/datamodule/transforms/kinetics_moco_v2.yaml [10:56]:
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        p_color_jitter: 0.8
        p_convert_gray: 0.2
      - _target_: pytorchvideo.transforms.Normalize
        mean: [0.45, 0.45, 0.45]
        std: [0.225, 0.225, 0.225]
      - _target_: pytorchvideo.transforms.RandomResizedCrop
        target_height: 224
        target_width: 224
        scale: [0.2, 0.766]
        aspect_ratio: [0.75, 1.3333]
      - _target_: torchvision.transforms.RandomHorizontalFlip
        p: 0.5
    key: video
  - _target_: pytorchvideo.transforms.RemoveKey
    key: audio
val:
  - _target_: pytorchvideo.transforms.ApplyTransformToKey
    transform:
      - _target_: pytorchvideo.transforms.UniformTemporalSubsample
        num_samples: 8
      - _target_: pytorchvideo.transforms.Div255
      - _target_: pytorchvideo.transforms.Normalize
        mean: [0.45, 0.45, 0.45]
        std: [0.225, 0.225, 0.225]
      - _target_: pytorchvideo.transforms.ShortSideScale
        size: 256
      - _target_: torchvision.transforms.CenterCrop
        size: 256
    key: video
  - _target_: pytorchvideo.transforms.RemoveKey
    key: audio
test:
  - _target_: pytorchvideo.transforms.ApplyTransformToKey
    transform:
      - _target_: pytorchvideo.transforms.UniformTemporalSubsample
        num_samples: 8
      - _target_: pytorchvideo.transforms.Div255
      - _target_: pytorchvideo.transforms.Normalize
        mean: [0.45, 0.45, 0.45]
        std: [0.225, 0.225, 0.225]
      - _target_: pytorchvideo.transforms.ShortSideScale
        size: 256
    key: video
  - _target_: pytorchvideo.transforms.UniformCropVideo
    size: 256
  - _target_: pytorchvideo.transforms.RemoveKey
    key: audio
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