tf.image.resize_images(images, size, method=ResizeMethod.BILINEAR, align_corners=False)

tf.image.resize_images(images, size, method=ResizeMethod.BILINEAR, align_corners=False)

See the guide: Images > Resizing

Resize images to size using the specified method.

Resized images will be distorted if their original aspect ratio is not the same as size. To avoid distortions see tf.image.resize_image_with_crop_or_pad.

method can be one of:

• ResizeMethod.BILINEAR: Bilinear interpolation.
• ResizeMethod.NEAREST_NEIGHBOR: Nearest neighbor interpolation.
• ResizeMethod.BICUBIC: Bicubic interpolation.
• ResizeMethod.AREA: Area interpolation.

Args:

• images: 4-D Tensor of shape [batch, height, width, channels] or 3-D Tensor of shape [height, width, channels].
• size: A 1-D int32 Tensor of 2 elements: new_height, new_width. The new size for the images.
• method: ResizeMethod. Defaults to ResizeMethod.BILINEAR.
• align_corners: bool. If true, exactly align all 4 corners of the input and output. Defaults to false.

Raises:

• ValueError: if the shape of images is incompatible with the shape arguments to this function
• ValueError: if size has invalid shape or type.
• ValueError: if an unsupported resize method is specified.

Returns:

If images was 4-D, a 4-D float Tensor of shape [batch, new_height, new_width, channels]. If images was 3-D, a 3-D float Tensor of shape [new_height, new_width, channels].

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