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tf.io.decode_image

TensorFlow 1 version View source on GitHub

Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.

Aliases:

tf.io.decode_image(
    contents,
    channels=None,
    dtype=tf.dtypes.uint8,
    name=None,
    expand_animations=True
)

Used in the tutorials:

Detects whether an image is a BMP, GIF, JPEG, or PNG, and performs the appropriate operation to convert the input bytes string into a Tensor of type dtype.

Args:

  • contents: 0-D string. The encoded image bytes.
  • channels: An optional int. Defaults to 0. Number of color channels for the decoded image.
  • dtype: The desired DType of the returned Tensor.
  • name: A name for the operation (optional)
  • expand_animations: Controls the shape of the returned op's output. If True, the returned op will produce a 3-D tensor for PNG, JPEG, and BMP files; and a 4-D tensor for all GIFs, whether animated or not. If, False, the returned op will produce a 3-D tensor for all file types and will truncate animated GIFs to the first frame.

Returns:

Tensor with type dtype and a 3- or 4-dimensional shape, depending on the file type and the value of the expand_animations parameter.

Raises:

  • ValueError: On incorrect number of channels.