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TensorFlow 1 version
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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
)
Used in the notebooks
| Used in the guide | Used in the tutorials |
|---|---|
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.io.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.
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