liblqr 0.4.2-2.1 source package in Ubuntu

Changelog

liblqr (0.4.2-2.1) unstable; urgency=medium

  * Non-maintainer upload.
  * debian/control:
    + Drop explicit Pre-Depends on multiarch-support.  Closes: #870543
    + Fix grammar errors in package descripts.  Closes: #687590
      Thanks to Clayton Casciato <email address hidden> for the patch.
    + Mark liblqr-1-0-dev as Multi-Arch: same.
    + Add missing ${misc:Depends} to liblqr-1-0-dev.
    + Bump Standards-Version to 4.1.3, no changes needed.
  * Drop liblqr-1-0-dbg in favour of automatic dbgsym packages.
  * debian/rules:
    + Rewrite using the dh sequencer.
    + Use flags coming from dpkg-buildflags.
  * Bump debhelper compat level to 11:
    + Drop explcit autoreconf, now run by default.
  * Add DEP-3 header to the autoreconf patch.
  * debian/copyright: claim some copyright for my own changes.

 -- Mattia Rizzolo <email address hidden>  Mon, 01 Jan 2018 01:21:16 +0100

Upload details

Uploaded by:
Bernd Zeimetz on 2018-01-01
Uploaded to:
Sid
Original maintainer:
Bernd Zeimetz
Architectures:
any
Section:
libs
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-04-18 main libs
Disco release on 2018-10-30 main libs
Cosmic release on 2018-05-01 main libs
Bionic release on 2018-01-02 main libs

Downloads

File Size SHA-256 Checksum
liblqr_0.4.2-2.1.dsc 2.0 KiB c54c34cd2f7470a29366eeacde2ca4859a97d684a406fb81a918b970c01d617c
liblqr_0.4.2.orig.tar.gz 429.6 KiB d4c22373432cca749e4326cd41fce365e6ff857c0bfd7a5302b8eb34b69f0336
liblqr_0.4.2-2.1.debian.tar.xz 5.2 KiB 284a002f1ecac63ac17b1aafbb230da9ce7bd9efe2d5b94e8cad49b607eb2564

Available diffs

No changes file available.

Binary packages built by this source

liblqr-1-0: 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.

liblqr-1-0-dbgsym: debug symbols for liblqr-1-0
liblqr-1-0-dev: converts plain array images into multi-size representation (developments files)

 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 development files.