TensorFlow 2 version |
JPEG-encode an image.
tf.io.encode_jpeg(
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. Thechannels
dimension ofimage
must be 1.rgb
: Output an RGB JPEG image. Thechannels
dimension ofimage
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
:
- 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 .
|