tf.io.decode

TensorFlow 1 version

Decode a PNG-encoded image to a uint8 or uint16 tensor.

View aliases

Main aliases

tf.image.decode_png

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.image.decode_png, tf.compat.v1.io.decode_png

tf.io.decode_png(
    contents, channels=0, dtype=tf.dtypes.uint8, name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
tf.data: Build TensorFlow input pipelines	Displaying image data in TensorBoard

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

tf

tf.audio

tf.autograph

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tf.compat

tf.config

tf.data

tf.debugging

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tf.errors

tf.estimator

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tf.graph_util

tf.image

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tf.io / decode_jpeg

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Used in the notebooks

Accepted values are:

Args

Returns