tf.image.encode_jpeg()

tf.image.encode_jpeg(image, format=None, quality=None, progressive=None, optimize_size=None, chroma_downsampling=None, density_unit=None, x_density=None, y_density=None, xmp_metadata=None, name=None)

JPEG-encode an image.

image is a 3-D uint8 Tensor of shape [height, width, channels].

The attr format can be used to override the color format of the encoded output. Values can be:

  • '': Use a default format based on the number of channels in the image.
  • grayscale: Output a grayscale JPEG image. The channels dimension of image must be 1.
  • rgb: Output an RGB JPEG image. The channels dimension of image must be 3.

If format is not specified or is the empty string, a default format is picked in function of the number of channels in image:

  • 1: Output a grayscale image.
  • 3: Output an RGB image.
Args:
  • image: A Tensor of type uint8. 3-D with shape [height, width, channels].
  • format: An optional string from: "", "grayscale", "rgb". Defaults to "". Per pixel image format.
  • quality: An optional int. Defaults to 95. Quality of the compression from 0 to 100 (higher is better and slower).
  • progressive: An optional bool. Defaults to False. If True, create a JPEG that loads progressively (coarse to fine).
  • optimize_size: An optional bool. Defaults to False. If True, spend CPU/RAM to reduce size with no quality change.
  • chroma_downsampling: An optional bool. Defaults to True. See http://en.wikipedia.org/wiki/Chroma_subsampling.
  • density_unit: An optional string from: "in", "cm". Defaults to "in". Unit used to specify x_density and y_density: pixels per inch ('in') or centimeter ('cm').
  • x_density: An optional int. Defaults to 300. Horizontal pixels per density unit.
  • y_density: An optional int. Defaults to 300. Vertical pixels per density unit.
  • xmp_metadata: An optional string. Defaults to "". If not empty, embed this XMP metadata in the image header.
  • name: A name for the operation (optional).
Returns:

A Tensor of type string. 0-D. JPEG-encoded image.

doc_TensorFlow
2016-10-14 13:08:07
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