Link Search Menu Expand Document
enuSpace-tensorflow Manual

EncodeJpeg

tensorflow C++ API

tensorflow::ops::EncodeJpeg

JPEG-encode an image.

Summary

imageis a 3-D uint8Tensorof shape[height, width, channels].The attrformatcan 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:Outputa grayscale JPEG image. Thechannelsdimension ofimagemust be 1. *rgb:Outputan RGB JPEG image. Thechannelsdimension ofimage` must be 3.

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

Arguments:

  • scope: A Scope object
  • image: 3-D with shape [height, width, channels].

Returns:

  • Output: 0-D. JPEG-encoded image.

Optional attributes (seeAttrs):

  • format: Per pixel image format.
  • quality: Quality of the compression from 0 to 100 (higher is better and slower).
  • progressive: If True, create a JPEG that loads progressively (coarse to fine).
  • optimize_size: If True, spend CPU/RAM to reduce size with no quality change.
  • chroma_downsampling: See http://en.wikipedia.org/wiki/Chroma_subsampling.
  • density_unit: Unit used to specifyx_densityandy_density: pixels per inch ('in') or centimeter ('cm').
  • x_density: Horizontal pixels per density unit.
  • y_density: Vertical pixels per density unit.
  • xmp_metadata: If not empty, embed this XMP metadata in the image header.

Constructor

  • EncodeJpeg(const ::tensorflow::Scope & scope, ::tensorflow::Input image, const EncodeJpeg::Attrs & attrs) .

Public attributes

  • tensorflow::Output contents.

EncodeJpeg block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_image_ops.cpp

Argument:

  • Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
  • image: connect Input node.
  • EncodeJpeg::Attrs attrs : input attrs value. ex) format_ = ;quality_ = 95;progressive_ = false;optimize_size_ = false;chroma_downsampling_ = true;density_unit_ = in;x_density_ = 300;y_density_ = 300;xmp_metadata_ = ;

Return:

  • Output contents : Output object of EncodeJpeg class object.

Result:

  • std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method