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.
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 | |
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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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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/io/decode_jpeg