View source on GitHub |
Crops an image
to a specified bounding box.
tf.image.crop_to_bounding_box(
image, offset_height, offset_width, target_height, target_width
)
This op cuts a rectangular bounding box out of image
. The top-left corner
of the bounding box is at offset_height, offset_width
in image
, and the
lower-right corner is at
offset_height + target_height, offset_width + target_width
.
Example Usage:
image = tf.constant(np.arange(1, 28, dtype=np.float32), shape=[3, 3, 3])
image[:,:,0] # print the first channel of the 3-D tensor
<tf.Tensor: shape=(3, 3), dtype=float32, numpy=
array([[ 1., 4., 7.],
[10., 13., 16.],
[19., 22., 25.]], dtype=float32)>
cropped_image = tf.image.crop_to_bounding_box(image, 0, 0, 2, 2)
cropped_image[:,:,0] # print the first channel of the cropped 3-D tensor
<tf.Tensor: shape=(2, 2), dtype=float32, numpy=
array([[ 1., 4.],
[10., 13.]], dtype=float32)>
Returns | |
---|---|
If image was 4-D, a 4-D Tensor of shape
[batch, target_height, target_width, channels] .
If image was 3-D, a 3-D Tensor of shape
[target_height, target_width, channels] .
It has the same dtype with image .
|