tf.raw_ops.EncodeJpeg
JPEG-encode an image.
tf.raw_ops.EncodeJpeg(
image, format='', quality=95, progressive=False, optimize_size=False,
chroma_downsampling=True, density_unit='in', x_density=300, y_density=300,
xmp_metadata='', name=None
)
image is a 3-D uint8 Tensor of shape [height, width, channels].
The attr format can be used to override the color format of the encoded output. Values can be:
-
'': Use a default format based on the number of channels in the image. -
grayscale: Output a grayscale JPEG image. Thechannelsdimension ofimagemust be 1. -
rgb: Output an RGB JPEG image. Thechannelsdimension ofimagemust be 3.
If format is not specified or is the empty string, a default format is picked in function of the number of channels in image:
- 1: Output a grayscale image.
- 3: Output an RGB image.
| Args | |
|---|---|
image | A Tensor of type uint8. 3-D with shape [height, width, channels]. |
format | An optional string from: "", "grayscale", "rgb". Defaults to "". Per pixel image format. |
quality | An optional int. Defaults to 95. Quality of the compression from 0 to 100 (higher is better and slower). |
progressive | An optional bool. Defaults to False. If True, create a JPEG that loads progressively (coarse to fine). |
optimize_size | An optional bool. Defaults to False. If True, spend CPU/RAM to reduce size with no quality change. |
chroma_downsampling | An optional bool. Defaults to True. See http://en.wikipedia.org/wiki/Chroma_subsampling |
density_unit | An optional string from: "in", "cm". Defaults to "in". Unit used to specify x_density and y_density: pixels per inch ('in') or centimeter ('cm'). |
x_density | An optional int. Defaults to 300. Horizontal pixels per density unit. |
y_density | An optional int. Defaults to 300. Vertical pixels per density unit. |
xmp_metadata | An optional string. Defaults to "". If not empty, embed this XMP metadata in the image header. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor of type string. |
© 2020 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/versions/r2.3/api_docs/python/tf/raw_ops/EncodeJpeg