Icon liblqr-1-0

Informations

  • Identifier liblqr-1-0
  • Added Date 9:08 PM December 16, 2020
  • Free package
  • 0.00/5 (0 vote)

  • RepositoryProcursus
  • SectionLibraries
  • Version 0.4.2
  • Architecture iOS
  • Size 21.69 Kb
  • Installed-Size 224
  • Depends libglib2.0-0, libintl8
  • Priority standard

Description

converts plain array images into multi-size representation The LiquidRescale (lqr) library provides a C/C++ API for performing non-uniform resizing of images by the seam-carving technique. . The library takes images in plain array format as input and converts them to a multi-size representation. . Following is a list of features: . * Areas in the image can be marked for preservation or discard * Once the image has been fully processed, the scaling can be done in real-time. In fact, the information can be saved and read out later without any further processing * The resizing is done with a single function which automatically performs all the necessary operations; it can also work in successive steps without wasting computational time * Possibility to tune the carving operation by letting the seams be less connected, or more rigid, or both * Can export and import the visibility map (the seams) * Other images can be attached and undergo the same carving process as the parent image * The automatic feature detection algorithm can be tuned by selecting among different energy gradient functions * Reports progress through a customizable interface * A signalling system permits one to cleanly handle errors . The library implements the algorithm described in the paper "Seam Carving for Content-Aware Image Resizing" by Shai Avidan and Ariel Shamir, which can be found at http://www.faculty.idc.ac.il/arik/imret.pdf . This package contains the shared library.


Version History

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  • Download liblqr-1-0 version 0.4.29:08 PM December 16, 2020
    Architecture iOS
    MD5 435e9f7fdfffa3485e162221c2043f22
    SHA1 c67088a8bc14a3ce4acc86c0cd69102bdee948d3
    SHA256 27e2bf20aa668e9c48b7e4ee380ef3de3f86b2d0c13e9870ac23bcbe38d10e9c

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