tfm.vision.preprocess_ops.resize_and_crop_masks

Resizes boxes to output size with scale and offset.

tfm.vision.preprocess_ops.resize_and_crop_masks(
    masks, image_scale, output_size, offset, centered_crop: bool = False
)

Args
masks	Tensor of shape [N, H, W, C] representing ground truth masks.
image_scale	2D float Tensor representing scale factors that apply to [height, width] of input image.
output_size	2D Tensor or int representing [height, width] of target output image size.
offset	2D Tensor representing top-left corner [y0, x0] to crop scaled boxes.
centered_crop	If centered_crop is set to True, then resized crop (if smaller than padded size) is place in the center of the image. Default behaviour is to place it at left top corner.

Returns
masks	Tensor of shape [N, H, W, C] representing the scaled masks.