tf.image.crop_to_bounding_box(
image,
offset_height,
offset_width,
target_height,
target_width
)
Defined in tensorflow/python/ops/image_ops_impl.py
.
Crops an image to a specified bounding box.
This op cuts a rectangular part out of image
. The top-left corner of the
returned image is at offset_height, offset_width
in image
, and its
lower-right corner is at
offset_height + target_height, offset_width + target_width
.
Args:
image
: 4-D Tensor of shape[batch, height, width, channels]
or 3-D Tensor of shape[height, width, channels]
.offset_height
: Vertical coordinate of the top-left corner of the result in the input.offset_width
: Horizontal coordinate of the top-left corner of the result in the input.target_height
: Height of the result.target_width
: Width of the result.
Returns:
If image
was 4-D, a 4-D float Tensor of shape
[batch, target_height, target_width, channels]
If image
was 3-D, a 3-D float Tensor of shape
[target_height, target_width, channels]
Raises:
ValueError
: If the shape ofimage
is incompatible with theoffset_*
ortarget_*
arguments, or eitheroffset_height
oroffset_width
is negative, or eithertarget_height
ortarget_width
is not positive.