tf.raw_ops.DecodePng
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Decode a PNG-encoded image to a uint8 or uint16 tensor.
View aliases
Compat aliases for migration
See
Migration 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.
|
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.DecodePng\n\n\u003cbr /\u003e\n\nDecode a PNG-encoded image to a uint8 or uint16 tensor.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.DecodePng`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DecodePng)\n\n\u003cbr /\u003e\n\n tf.raw_ops.DecodePng(\n contents,\n channels=0,\n dtype=../../tf/dtypes#uint8,\n name=None\n )\n\nThe attr `channels` indicates the desired number of color channels for the\ndecoded image.\n\n#### Accepted values are:\n\n- 0: Use the number of channels in the PNG-encoded image.\n- 1: output a grayscale image.\n- 3: output an RGB image.\n- 4: output an RGBA image.\n\nIf needed, the PNG-encoded image is transformed to match the requested number\nof color channels.\n\nThis op also supports decoding JPEGs and non-animated GIFs since the interface\nis the same, though it is cleaner to use [`tf.io.decode_image`](../../tf/io/decode_image).\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|------------------------------------------------------------------------------------------------------------------------|\n| `contents` | A `Tensor` of type `string`. 0-D. The PNG-encoded image. |\n| `channels` | An optional `int`. Defaults to `0`. Number of color channels for the decoded image. |\n| `dtype` | An optional [`tf.DType`](../../tf/dtypes/DType) from: `tf.uint8, tf.uint16`. Defaults to [`tf.uint8`](../../tf#uint8). |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `dtype`. ||\n\n\u003cbr /\u003e"]]
