# tf.image.decode_png

tf.image.decode_png(
contents,
channels=0,
dtype=tf.uint8,
name=None
)


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

See the guide: Images > Encoding and Decoding

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

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.image.decode_image.

#### Args:

• 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).

#### Returns:

A Tensor of type dtype.