tf.image.encode_jpeg(image, format=None, quality=None, progressive=None, optimize_size=None, chroma_downsampling=None, density_unit=None, x_density=None, y_density=None, xmp_metadata=None, name=None)
See the guide: Images > Encoding and Decoding
JPEG-encode an image.
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. The channels
dimension of image
must be 1.rgb
: Output an RGB JPEG image. The channels
dimension of image
must 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
:
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).A Tensor
of type string
. 0-D. JPEG-encoded image.
Defined in tensorflow/python/ops/gen_image_ops.py
.
© 2017 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/api_docs/python/tf/image/encode_jpeg