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.

`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.

`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.