Index A | B | C | D | E | F | G | H | I | J | L | M | N | P | R | S | T | U | V | W A add() (torchaug.ta_tensors.nested.TANestedTensors method) add_() (torchaug.ta_tensors.nested.TANestedTensors method) adjust_brightness() (in module torchaug.transforms.functional) adjust_brightness_batch() (in module torchaug.transforms.functional) adjust_contrast() (in module torchaug.transforms.functional) adjust_contrast_batch() (in module torchaug.transforms.functional) adjust_hue() (in module torchaug.transforms.functional) adjust_hue_batch() (in module torchaug.transforms.functional) adjust_saturation() (in module torchaug.transforms.functional) adjust_saturation_batch() (in module torchaug.transforms.functional) adjust_sharpness() (in module torchaug.transforms.functional) affine() (in module torchaug.transforms.functional) AugMix (class in torchaug.transforms) AutoAugment (class in torchaug.transforms) autocontrast() (in module torchaug.transforms.functional) B batch_size (torchaug.ta_tensors.nested.TANestedTensors property) batch_tensors_type (torchaug.ta_tensors.nested.BoundingBoxesNestedTensors attribute) (torchaug.ta_tensors.nested.ImageNestedTensors attribute) (torchaug.ta_tensors.nested.LabelsNestedTensors attribute) (torchaug.ta_tensors.nested.MaskNestedTensors attribute) (torchaug.ta_tensors.nested.NestedTensors attribute) (torchaug.ta_tensors.nested.VideoNestedTensors attribute) BatchBoundingBoxes (class in torchaug.ta_tensors) BatchImages (class in torchaug.ta_tensors) BatchLabels (class in torchaug.ta_tensors) BatchMasks (class in torchaug.ta_tensors) BatchVideos (class in torchaug.ta_tensors) BoundingBoxes (class in torchaug.ta_tensors) BoundingBoxesNestedTensors (class in torchaug.ta_tensors.nested) BoundingBoxFormat (class in torchaug.ta_tensors) C cat() (torchaug.ta_tensors.BatchBoundingBoxes class method) (torchaug.ta_tensors.BatchImages class method) (torchaug.ta_tensors.BatchLabels class method) (torchaug.ta_tensors.BatchMasks class method) (torchaug.ta_tensors.BatchVideos class method) center_crop() (in module torchaug.transforms.functional) CenterCrop (class in torchaug.transforms) clamp_bounding_boxes() (in module torchaug.transforms.functional) ClampBoundingBoxes (class in torchaug.transforms) clone() (torchaug.ta_tensors.nested.TANestedTensors method) ColorJitter (class in torchaug.transforms) Compose (class in torchaug.transforms) convert_batch_bboxes_to_bboxes() (in module torchaug.ta_tensors) convert_batch_labels_to_labels() (in module torchaug.ta_tensors) convert_batch_masks_to_masks() (in module torchaug.ta_tensors) convert_bboxes_to_batch_bboxes() (in module torchaug.ta_tensors) convert_bounding_box_format() (in module torchaug.transforms.functional) convert_labels_to_batch_labels() (in module torchaug.ta_tensors) convert_masks_to_batch_masks() (in module torchaug.ta_tensors) ConvertBoundingBoxFormat (class in torchaug.transforms) count() (torchaug.ta_tensors.nested.TANestedTensors method) crop() (in module torchaug.transforms.functional) CutMix (class in torchaug.transforms) D default_collate() (in module torchaug.data.dataloader) device (torchaug.ta_tensors.nested.TANestedTensors property) (torchaug.ta_tensors.TATensor property) div() (torchaug.ta_tensors.nested.TANestedTensors method) div_() (torchaug.ta_tensors.nested.TANestedTensors method) dtype (torchaug.ta_tensors.nested.TANestedTensors property) E elastic() (in module torchaug.transforms.functional) elastic_batch() (in module torchaug.transforms.functional) ElasticTransform (class in torchaug.transforms) equalize() (in module torchaug.transforms.functional) erase() (in module torchaug.transforms.functional) erase_image() (in module torchaug.transforms.functional) erase_video() (in module torchaug.transforms.functional) extra_repr() (torchaug.transforms.ColorJitter method) (torchaug.transforms.Compose method) (torchaug.transforms.Grayscale method) (torchaug.transforms.Lambda method) (torchaug.transforms.RandomAdjustSharpness method) (torchaug.transforms.RandomApply method) (torchaug.transforms.RandomApplyTransform method) (torchaug.transforms.RandomAutocontrast method) (torchaug.transforms.RandomEqualize method) (torchaug.transforms.RandomGrayscale method) (torchaug.transforms.RandomInvert method) (torchaug.transforms.RandomPosterize method) (torchaug.transforms.RandomSolarize method) (torchaug.transforms.SequentialTransform method) (torchaug.transforms.Transform method) F five_crop() (in module torchaug.transforms.functional) FiveCrop (class in torchaug.transforms) floor_divide() (torchaug.ta_tensors.nested.TANestedTensors method) floor_divide_() (torchaug.ta_tensors.nested.TANestedTensors method) forward() (torchaug.transforms.AugMix method) (torchaug.transforms.AutoAugment method) (torchaug.transforms.Compose method) (torchaug.transforms.RandAugment method) (torchaug.transforms.RandomApply method) (torchaug.transforms.RandomApplyTransform method) (torchaug.transforms.RandomChoice method) (torchaug.transforms.RandomOrder method) (torchaug.transforms.SanitizeBoundingBoxes method) (torchaug.transforms.SequentialTransform method) (torchaug.transforms.TrivialAugmentWide method) G gaussian_blur() (in module torchaug.transforms.functional) gaussian_blur_batch() (in module torchaug.transforms.functional) GaussianBlur (class in torchaug.transforms) get_chunk() (torchaug.ta_tensors.BatchBoundingBoxes method) (torchaug.ta_tensors.BatchLabels method) (torchaug.ta_tensors.BatchMasks method) get_dimensions() (in module torchaug.transforms.functional) get_num_channels() (in module torchaug.transforms.functional) get_num_frames() (in module torchaug.transforms.functional) get_sample() (torchaug.ta_tensors.BatchBoundingBoxes method) (torchaug.ta_tensors.BatchLabels method) (torchaug.ta_tensors.BatchMasks method) get_size() (in module torchaug.transforms.functional) Grayscale (class in torchaug.transforms) grayscale_to_rgb() (in module torchaug.transforms.functional) H horizontal_flip() (in module torchaug.transforms.functional) I Identity (class in torchaug.transforms) Image (class in torchaug.ta_tensors) ImageNestedTensors (class in torchaug.ta_tensors.nested) index() (torchaug.ta_tensors.nested.TANestedTensors method) invert() (in module torchaug.transforms.functional) J JPEG (class in torchaug.transforms) jpeg() (in module torchaug.transforms.functional) jpeg_image() (in module torchaug.transforms.functional) jpeg_video() (in module torchaug.transforms.functional) L Labels (class in torchaug.ta_tensors) LabelsNestedTensors (class in torchaug.ta_tensors.nested) Lambda (class in torchaug.transforms) LinearTransformation (class in torchaug.transforms) M Mask (class in torchaug.ta_tensors) masked_select() (torchaug.ta_tensors.BatchBoundingBoxes class method) (torchaug.ta_tensors.BatchLabels class method) (torchaug.ta_tensors.BatchMasks class method) (torchaug.ta_tensors.BoundingBoxes class method) MaskNestedTensors (class in torchaug.ta_tensors.nested) MixUp (class in torchaug.transforms) mul() (torchaug.ta_tensors.nested.TANestedTensors method) mul_() (torchaug.ta_tensors.nested.TANestedTensors method) N ndim (torchaug.ta_tensors.nested.TANestedTensors property) (torchaug.ta_tensors.TATensor property) NestedTensors (class in torchaug.ta_tensors.nested) Normalize (class in torchaug.transforms) normalize() (in module torchaug.transforms.functional) num_chunks (torchaug.transforms.RandomApplyTransform property) (torchaug.transforms.RandomColorJitter property) P Pad (class in torchaug.transforms) pad() (in module torchaug.transforms.functional) permute_channels() (in module torchaug.transforms.functional) perspective() (in module torchaug.transforms.functional) pin_memory() (torchaug.ta_tensors.nested.TANestedTensors method) posterize() (in module torchaug.transforms.functional) R RandAugment (class in torchaug.transforms) RandomAdjustSharpness (class in torchaug.transforms) RandomAffine (class in torchaug.transforms) RandomApply (class in torchaug.transforms) RandomApplyTransform (class in torchaug.transforms) RandomAutocontrast (class in torchaug.transforms) RandomChannelPermutation (class in torchaug.transforms) RandomChoice (class in torchaug.transforms) RandomColorJitter (class in torchaug.transforms) RandomCrop (class in torchaug.transforms) RandomEqualize (class in torchaug.transforms) RandomErasing (class in torchaug.transforms) RandomGaussianBlur (class in torchaug.transforms) RandomGrayscale (class in torchaug.transforms) RandomHorizontalFlip (class in torchaug.transforms) RandomInvert (class in torchaug.transforms) RandomIoUCrop (class in torchaug.transforms) RandomOrder (class in torchaug.transforms) RandomPerspective (class in torchaug.transforms) RandomPhotometricDistort (class in torchaug.transforms) RandomPosterize (class in torchaug.transforms) RandomResize (class in torchaug.transforms) RandomResizedCrop (class in torchaug.transforms) RandomRotation (class in torchaug.transforms) RandomShortestSize (class in torchaug.transforms) RandomSolarize (class in torchaug.transforms) RandomVerticalFlip (class in torchaug.transforms) RandomZoomOut (class in torchaug.transforms) remainder() (torchaug.ta_tensors.nested.TANestedTensors method) remainder_() (torchaug.ta_tensors.nested.TANestedTensors method) Resize (class in torchaug.transforms) resize() (in module torchaug.transforms.functional) resized_crop() (in module torchaug.transforms.functional) RGB (class in torchaug.transforms) rgb_to_grayscale() (in module torchaug.transforms.functional) rotate() (in module torchaug.transforms.functional) S SanitizeBoundingBoxes (class in torchaug.transforms) ScaleJitter (class in torchaug.transforms) SequentialTransform (class in torchaug.transforms) shape (torchaug.ta_tensors.TATensor property) shapes (torchaug.ta_tensors.nested.TANestedTensors property) size() (torchaug.ta_tensors.nested.TANestedTensors method) solarize() (in module torchaug.transforms.functional) sub() (torchaug.ta_tensors.nested.TANestedTensors method) sub_() (torchaug.ta_tensors.nested.TANestedTensors method) T TANestedTensors (class in torchaug.ta_tensors.nested) TATensor (class in torchaug.ta_tensors) ten_crop() (in module torchaug.transforms.functional) TenCrop (class in torchaug.transforms) tensors_type (torchaug.ta_tensors.nested.BoundingBoxesNestedTensors attribute) (torchaug.ta_tensors.nested.ImageNestedTensors attribute) (torchaug.ta_tensors.nested.LabelsNestedTensors attribute) (torchaug.ta_tensors.nested.MaskNestedTensors attribute) (torchaug.ta_tensors.nested.VideoNestedTensors attribute) to() (torchaug.ta_tensors.nested.TANestedTensors method) to_batch() (torchaug.ta_tensors.nested.BoundingBoxesNestedTensors method) (torchaug.ta_tensors.nested.LabelsNestedTensors method) (torchaug.ta_tensors.nested.MaskNestedTensors method) (torchaug.ta_tensors.nested.TANestedTensors method) to_batch_images() (in module torchaug.transforms.functional) to_dtype() (in module torchaug.transforms.functional) to_image() (in module torchaug.transforms.functional) to_list() (torchaug.ta_tensors.nested.TANestedTensors method) to_samples() (torchaug.ta_tensors.BatchBoundingBoxes method) (torchaug.ta_tensors.BatchImages method) (torchaug.ta_tensors.BatchLabels method) (torchaug.ta_tensors.BatchMasks method) (torchaug.ta_tensors.BatchVideos method) ToBatchImages (class in torchaug.transforms) ToDtype (class in torchaug.transforms) ToImage (class in torchaug.transforms) ToPureTensor (class in torchaug.transforms) Transform (class in torchaug.transforms) TrivialAugmentWide (class in torchaug.transforms) U uniform_temporal_subsample() (in module torchaug.transforms.functional) UniformTemporalSubsample (class in torchaug.transforms) update_chunk_() (torchaug.ta_tensors.BatchBoundingBoxes method) (torchaug.ta_tensors.BatchLabels method) (torchaug.ta_tensors.BatchMasks method) V vertical_flip() (in module torchaug.transforms.functional) Video (class in torchaug.ta_tensors) VideoNestedTensors (class in torchaug.ta_tensors.nested) W wrap_dataset_for_transforms_v2() (in module torchaug.data.dataset)
