tfm.vision.spatial_transform_ops.crop_mask_in_target_box

Crop masks in target boxes.

tfm.vision.spatial_transform_ops.crop_mask_in_target_box(
    masks: tf.Tensor,
    boxes: tf.Tensor,
    target_boxes: tf.Tensor,
    output_size: int,
    sample_offset: float = 0.0,
    use_einsum: bool = True
) -> tf.Tensor

Args
`masks`	A tensor with a shape of [batch_size, num_masks, height, width].
`boxes`	a float tensor representing box cooridnates that tightly enclose masks with a shape of [batch_size, num_masks, 4] in un-normalized coordinates. A box is represented by [ymin, xmin, ymax, xmax].
`target_boxes`	a float tensor representing target box cooridnates for masks with a shape of [batch_size, num_masks, 4] in un-normalized coordinates. A box is represented by [ymin, xmin, ymax, xmax].
`output_size`	A scalar to indicate the output crop size. It currently only supports to output a square shape outputs.
`sample_offset`	a float number in [0, 1] indicates the subpixel sample offset from grid point.
`use_einsum`	Use einsum to replace gather in selective_crop_and_resize.

Returns
A 4-D tensor representing feature crop of shape [batch_size, num_boxes, output_size, output_size].

tfm.vision.spatial_transform_ops.crop_mask_in_target_box

Args

Returns