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.
|