tfm.vision.mask_ops.paste_instance_masks
Paste instance masks to generate the image segmentation results.
tfm.vision.mask_ops.paste_instance_masks(
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.
[null,null,["Last updated 2024-02-02 UTC."],[],[]]