tf.raw_ops.DecodePng | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.DecodePng
Stay organized with collections Save and categorize content based on your preferences.
Decode a PNG-encoded image to a uint8 or uint16 tensor.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.DecodePng
tf.raw_ops.DecodePng(
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. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.