tfm.vision.mask_ops.paste_instance_masks_v2

Paste instance masks to generate the image segmentation (v2).

tfm.vision.mask_ops.paste_instance_masks_v2(
    masks: np.ndarray,
    detected_boxes: np.ndarray,
    image_height: int,
    image_width: int
) -> np.ndarray

Args
`masks`	a numpy array of shape [N, mask_height, mask_width] representing the instance masks w.r.t. the `detected_boxes`.
`detected_boxes`	a numpy array of shape [N, 4] representing the reference bounding boxes.
`image_height`	an integer representing the height of the image.
`image_width`	an integer representing the width of the image.

Returns
`segms`	a numpy array of shape [N, image_height, image_width] representing the instance masks pasted on the image canvas.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-02-02 UTC.

tfm.vision.mask_ops.paste_instance_masks_v2

Args

Returns