mmcv.transforms

BaseTransform	Base class for all transformations.
TestTimeAug	Test-time augmentation transform.

Loading

LoadAnnotations	Load and process the instances and seg_map annotation provided by dataset.
LoadImageFromFile	Load an image from file.

Processing

CenterCrop	Crop the center of the image, segmentation masks, bounding boxes and key points.
MultiScaleFlipAug	Test-time augmentation with multiple scales and flipping.
Normalize	Normalize the image.
Pad	Pad the image & segmentation map.
RandomChoiceResize	Resize images & bbox & mask from a list of multiple scales.
RandomFlip	Flip the image & bbox & keypoints & segmentation map.
RandomGrayscale	Randomly convert image to grayscale with a probability.
RandomResize	Random resize images & bbox & keypoints.
Resize	Resize images & bbox & seg & keypoints.
ToTensor	Convert some results to torch.Tensor by given keys.
ImageToTensor	Convert image to torch.Tensor by given keys.

Wrapper

Compose	Compose multiple transforms sequentially.
KeyMapper	A transform wrapper to map and reorganize the input/output of the wrapped transforms (or sub-pipeline).
RandomApply	Apply transforms randomly with a given probability.
RandomChoice	Process data with a randomly chosen transform from given candidates.
TransformBroadcaster	A transform wrapper to apply the wrapped transforms to multiple data items.