tf.image.crop_to_bounding_box

tf.image.crop_to_bounding_box(
    image,
    offset_height,
    offset_width,
    target_height,
    target_width
)

Defined in tensorflow/python/ops/image_ops_impl.py.

See the guide: Images > Cropping

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 of image is incompatible with the offset_* or target_* arguments, or either offset_height or offset_width is negative, or either target_height or target_width is not positive.