tf.raw_ops.DecodeJpeg

Decode a JPEG-encoded image to a uint8 tensor.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.DecodeJpeg

tf.raw_ops.DecodeJpeg(
    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.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.