tf.io.decode_png

Decode a PNG-encoded image to a uint8 or uint16 tensor.

tf.io.decode_png(
    contents: Annotated[Any, _atypes.String],
    channels: int = 0,
    dtype: TV_DecodePng_dtype = tf.dtypes.uint8,
    name=None
) -> Annotated[Any, TV_DecodePng_dtype]

Used in the notebooks

Used in the guide Used in the tutorials

The attr channels indicates the desired number of color channels for the decoded image.

Accepted values are:

  • 0: Use the number of channels in the PNG-encoded image.
  • 1: output a grayscale image.
  • 3: output an RGB image.
  • 4: output an RGBA image.

If needed, the PNG-encoded image is transformed to match the requested number of color channels.

This op also supports decoding JPEGs and non-animated GIFs since the interface is the same, though it is cleaner to use tf.io.decode_image.

contents A Tensor of type string. 0-D. The PNG-encoded image.
channels An optional int. Defaults to 0. Number of color channels for the decoded image.
dtype An optional tf.DType from: tf.uint8, tf.uint16. Defaults to tf.uint8.
name A name for the operation (optional).

A Tensor of type dtype.