TensorFlow 1 version
 | 
Decode a PNG-encoded image to a uint8 or uint16 tensor.
tf.io.decode_png(
    contents, channels=0, dtype=tf.dtypes.uint8, name=None
)
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.
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.
 | 
  TensorFlow 1 version