tf.io.decode_jpeg

TensorFlow 1 version

Decode a JPEG-encoded image to a uint8 tensor.

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.

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).

A Tensor of type uint8.