Decode a JPEG-encoded image to a uint8 tensor.
tf.io.decode_jpeg(
    contents: Annotated[Any, _atypes.String],
    channels: int = 0,
    ratio: int = 1,
    fancy_upscaling: bool = True,
    try_recover_truncated: bool = False,
    acceptable_fraction: float = 1,
    dct_method: str = '',
    name=None
) -> Annotated[Any, _atypes.UInt8]
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.
| Returns | |
|---|---|
| A Tensorof typeuint8. |