TensorFlow 2 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.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 .
|