tf.image.decode_image(contents, channels=None, name=None)

tf.image.decode_image(contents, channels=None, name=None)

See the guide: Images > Encoding and Decoding

Convenience function for decode_gif, decode_jpeg, and decode_png. Detects whether an image is a GIF, JPEG, or PNG, and performs the appropriate operation to convert the input bytes string into a Tensor of type uint8.

Note: decode_gif returns a 4-D array [num_frames, height, width, 3], as opposed to decode_jpeg and decode_png, which return 3-D arrays [height, width, num_channels]. Make sure to take this into account when constructing your graph if you are intermixing GIF files with JPEG and/or PNG files.

Args:

• contents: 0-D string. The encoded image bytes.
• channels: An optional int. Defaults to 0. Number of color channels for the decoded image.
• name: A name for the operation (optional)

Returns:

Tensor with type uint8 with shape [height, width, num_channels] for JPEG and PNG images and shape [num_frames, height, width, 3] for GIF images.

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