tf.io.encode_png
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PNG-encode an image.
tf.io.encode_png(
image, compression=-1, name=None
)
Used in the notebooks
image is a rank-N Tensor of type uint8 or uint16 with shape batch_dims +
[height, width, channels], where channels is:
- 1: for grayscale.
- 2: for grayscale + alpha.
- 3: for RGB.
- 4: for RGBA.
The ZLIB compression level, compression, can be -1 for the PNG-encoder
default or a value from 0 to 9. 9 is the highest compression level,
generating the smallest output, but is slower.
Args |
|---|
image
|
A Tensor. Must be one of the following types: uint8, uint16.
Rank N >= 3 with shape batch_dims + [height, width, channels].
|
compression
|
An optional int. Defaults to -1. Compression level.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type string.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.io.encode_png\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/image_ops_impl.py#L3238-L3265) |\n\nPNG-encode an image.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.image.encode_png`](https://www.tensorflow.org/api_docs/python/tf/io/encode_png)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.image.encode_png`](https://www.tensorflow.org/api_docs/python/tf/io/encode_png), [`tf.compat.v1.io.encode_png`](https://www.tensorflow.org/api_docs/python/tf/io/encode_png)\n\n\u003cbr /\u003e\n\n tf.io.encode_png(\n image, compression=-1, name=None\n )\n\n### Used in the notebooks\n\n| Used in the tutorials |\n|---------------------------------------------------------------------------------------------------------------|\n| - [Semantic Segmentation with Model Garden](https://www.tensorflow.org/tfmodels/vision/semantic_segmentation) |\n\n`image` is a rank-N Tensor of type uint8 or uint16 with shape `batch_dims +\n[height, width, channels]`, where `channels` is:\n\n- 1: for grayscale.\n- 2: for grayscale + alpha.\n- 3: for RGB.\n- 4: for RGBA.\n\nThe ZLIB compression level, `compression`, can be -1 for the PNG-encoder\ndefault or a value from 0 to 9. 9 is the highest compression level,\ngenerating the smallest output, but is slower.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|--------------------------------------------------------------------------------------------------------------------------------------|\n| `image` | A `Tensor`. Must be one of the following types: `uint8`, `uint16`. Rank N \\\u003e= 3 with shape `batch_dims + [height, width, channels]`. |\n| `compression` | An optional `int`. Defaults to `-1`. Compression level. |\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 `string`. ||\n\n\u003cbr /\u003e"]]
View source on GitHub