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op {
graph_op_name: "DecodeJpeg"
in_arg {
name: "contents"
description: <<END
0-D. The JPEG-encoded image.
END
}
out_arg {
name: "image"
description: <<END
3-D with shape `[height, width, channels]`..
END
}
attr {
name: "channels"
description: <<END
Number of color channels for the decoded image.
END
}
attr {
name: "ratio"
description: <<END
Downscaling ratio.
END
}
attr {
name: "fancy_upscaling"
description: <<END
If true use a slower but nicer upscaling of the
chroma planes (yuv420/422 only).
END
}
attr {
name: "try_recover_truncated"
description: <<END
If true try to recover an image from truncated input.
END
}
attr {
name: "acceptable_fraction"
description: <<END
The minimum required fraction of lines before a truncated
input is accepted.
END
}
attr {
name: "dct_method"
description: <<END
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.)
END
}
summary: "Decode a JPEG-encoded image to a uint8 tensor."
description: <<END
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`.
END
}
|
