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Torchaug
Torchaug

Contents:

  • Tutorials
    • Transforms Tutorial
    • TA Tensors Tutorial
    • COCO dataset example
  • Transforms
    • Augment
      • CutMix
      • MixUp
      • RandomErasing
      • JPEG
    • Auto-Augment
      • AugMix
      • AutoAugment
      • RandAugment
      • TrivialAugmentWide
    • Color
      • ColorJitter
      • Grayscale
      • RandomAdjustSharpness
      • RandomAutocontrast
      • RandomChannelPermutation
      • RandomColorJitter
      • RandomEqualize
      • RandomGrayscale
      • RandomInvert
      • RandomPhotometricDistort
      • RandomPosterize
      • RandomSolarize
      • RGB
    • Container
      • Compose
      • RandomApply
      • RandomChoice
      • RandomOrder
      • SequentialTransform
    • Geometry
      • CenterCrop
      • ElasticTransform
      • FiveCrop
      • Pad
      • RandomAffine
      • RandomCrop
      • RandomHorizontalFlip
      • RandomIoUCrop
      • RandomPerspective
      • RandomResize
      • RandomResizedCrop
      • RandomRotation
      • RandomShortestSize
      • RandomVerticalFlip
      • RandomZoomOut
      • Resize
      • ScaleJitter
      • TenCrop
    • Meta
      • ClampBoundingBoxes
      • ConvertBoundingBoxFormat
    • Misc
      • GaussianBlur
      • Identity
      • Lambda
      • LinearTransformation
      • Normalize
      • RandomGaussianBlur
      • SanitizeBoundingBoxes
      • ToDtype
    • Temporal
      • UniformTemporalSubsample
    • Transform
      • RandomApplyTransform
      • Transform
    • Type Conversion
      • ToBatchImages
      • ToImage
      • ToPureTensor
  • Functional
    • Augment
      • erase
      • erase_image
      • erase_video
      • jpeg
      • jpeg_image
      • jpeg_video
    • Color
      • adjust_brightness
      • adjust_brightness_batch
      • adjust_contrast
      • adjust_contrast_batch
      • adjust_hue
      • adjust_hue_batch
      • adjust_saturation
      • adjust_saturation_batch
      • adjust_sharpness
      • autocontrast
      • equalize
      • grayscale_to_rgb
      • invert
      • permute_channels
      • posterize
      • rgb_to_grayscale
      • solarize
    • Geometry
      • affine
      • center_crop
      • crop
      • elastic
      • elastic_batch
      • five_crop
      • horizontal_flip
      • pad
      • perspective
      • resize
      • resized_crop
      • rotate
      • ten_crop
      • vertical_flip
    • Meta
      • clamp_bounding_boxes
      • convert_bounding_box_format
      • get_dimensions
      • get_num_channels
      • get_num_frames
      • get_size
    • Misc
      • gaussian_blur
      • gaussian_blur_batch
      • normalize
      • to_dtype
    • Temporal
      • uniform_temporal_subsample
    • Type Conversion
      • to_batch_images
      • to_image
  • TA Tensors
    • TA Tensor
      • TATensor
    • Image
      • Image
      • BatchImages
    • Video
      • Video
      • BatchVideos
    • Mask
      • Mask
      • BatchMasks
      • convert_batch_masks_to_masks
      • convert_masks_to_batch_masks
    • Bounding Boxes
      • BoundingBoxFormat
      • BoundingBoxes
      • BatchBoundingBoxes
      • convert_batch_bboxes_to_bboxes
      • convert_bboxes_to_batch_bboxes
    • Labels
      • Labels
      • BatchLabels
      • convert_batch_labels_to_labels
      • convert_labels_to_batch_labels
  • Data
    • Datasets
      • wrap_dataset_for_transforms_v2
    • DataLoader
      • default_collate
  • Torchaug speed
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TutorialsΒΆ

In this section we provide several tutorial to understand how to use Torchaug. As it is largely based on Torchvision transforms v2 API, we strongly suggest you to first take a look to their documentation.

  • Transforms Tutorial
    • Torchaug Transforms
    • How to use transforms
  • TA Tensors Tutorial
    • All the TATensors
    • How TATensors are used
  • COCO dataset example
    • Set Up
    • Visualization
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