Bilinear resizes the images to fit into the bounding boxes in the output.
tfm.vision.spatial_transform_ops.bilinear_resize_to_bbox(
images: tf.Tensor, bbox: tf.Tensor, output_size: tf.Tensor
) -> tf.Tensor
Args |
images
|
A tensor in shape (batch_size, input_h, input_w, ...) with arbitrary
numbers of channel dimensions.
|
bbox
|
A tensor in shape (batch_size, 4), representing the absolute
coordinates (ymin, xmin, ymax, xmax) for each bounding box.
|
output_size
|
The size of the output images in (output_h, output_w).
|
Returns |
A tensor in shape (batch_size, output_h, output_w, ...). The result has the
same dtype as the input if it's float32, float16, bfloat16, otherwise the
result is float32.
|