tf.keras.ops.image.crop_images

Crop images to a specified height and width.

tf.keras.ops.image.crop_images( images, top_cropping=None, left_cropping=None, target_height=None, target_width=None, bottom_cropping=None, right_cropping=None )

images 4-D batch of images of shape (batch, height, width, channels) or 3-D single image of shape (height, width, channels).
top_cropping Number of columns to crop from the top.
bottom_cropping Number of columns to crop from the bottom.
left_cropping Number of columns to crop from the left.
right_cropping Number of columns to crop from the right.
target_height Height of the output images.
target_width Width of the output images.

If images were 4D, a 4D float Tensor of shape (batch, target_height, target_width, channels) If images were 3D, a 3D float Tensor of shape (target_height, target_width, channels)

Example:

images = np.reshape(np.arange(1, 28, dtype="float32"), [3, 3, 3]) images[:,:,0] # print the first channel of the images array([[ 1., 4., 7.],  [10., 13., 16.],  [19., 22., 25.]], dtype=float32) cropped_images = keras.image.crop_images(images, 0, 0, 2, 2) cropped_images[:,:,0] # print the first channel of the cropped images array([[ 1., 4.],  [10., 13.]], dtype=float32)