tf.image.crop_to_bounding_box

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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 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.