TensorFlow 2 version |
Decode a JPEG-encoded image to a uint8 tensor.
tf.io.decode_jpeg(
contents, channels=0, ratio=1, fancy_upscaling=True,
try_recover_truncated=False, acceptable_fraction=1, dct_method='', 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 JPEG-encoded image.
- 1: output a grayscale image.
- 3: output an RGB image.
If needed, the JPEG-encoded image is transformed to match the requested number of color channels.
The attr ratio
allows downscaling the image by an integer factor during
decoding. Allowed values are: 1, 2, 4, and 8. This is much faster than
downscaling the image later.
This op also supports decoding PNGs and non-animated GIFs since the interface is
the same, though it is cleaner to use tf.image.decode_image
.
Args | |
---|---|
contents
|
A Tensor of type string . 0-D. The JPEG-encoded image.
|
channels
|
An optional int . Defaults to 0 .
Number of color channels for the decoded image.
|
ratio
|
An optional int . Defaults to 1 . Downscaling ratio.
|
fancy_upscaling
|
An optional bool . Defaults to True .
If true use a slower but nicer upscaling of the
chroma planes (yuv420/422 only).
|
try_recover_truncated
|
An optional bool . Defaults to False .
If true try to recover an image from truncated input.
|
acceptable_fraction
|
An optional float . Defaults to 1 .
The minimum required fraction of lines before a truncated
input is accepted.
|
dct_method
|
An optional string . Defaults to "" .
string specifying a hint about the algorithm used for
decompression. Defaults to "" which maps to a system-specific
default. Currently valid values are ["INTEGER_FAST",
"INTEGER_ACCURATE"]. The hint may be ignored (e.g., the internal
jpeg library changes to a version that does not have that specific
option.)
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type uint8 .
|