tf.image.decode_image
tf.image.decode_image
tf.image.decode_image
decode_image( contents, channels=None, name=None )
Defined in tensorflow/python/ops/image_ops_impl.py
.
See the guide: Images > Encoding and Decoding
Convenience function for decode_gif
, decode_jpeg
, and decode_png
.
Detects whether an image is a GIF, JPEG, or PNG, and performs the appropriate operation to convert the input bytes string
into a Tensor
of type uint8
.
Note:decode_gif
returns a 4-D array[num_frames, height, width, 3]
, as opposed todecode_jpeg
anddecode_png
, which return 3-D arrays[height, width, num_channels]
. Make sure to take this into account when constructing your graph if you are intermixing GIF files with JPEG and/or PNG files.
Args:
-
contents
: 0-Dstring
. The encoded image bytes. -
channels
: An optionalint
. Defaults to0
. Number of color channels for the decoded image. -
name
: A name for the operation (optional)
Returns:
Tensor
with type uint8
with shape [height, width, num_channels]
for JPEG and PNG images and shape [num_frames, height, width, 3]
for GIF images.
Raises:
-
ValueError
: On incorrect number of 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_image