tf.image.decode_png
tf.image.decode_png
tf.image.decode_png
decode_png( contents, channels=None, dtype=None, 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
: ATensor
of typestring
. 0-D. The PNG-encoded image. -
channels
: An optionalint
. Defaults to0
. Number of color channels for the decoded image. -
dtype
: An optionaltf.DType
from:tf.uint8, tf.uint16
. Defaults totf.uint8
. -
name
: A name for the operation (optional).
Returns:
A Tensor
of type dtype
. 3-D with shape [height, width, channels]
.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/image/decode_png