Ubuntu
opengv package

opengv 1.0+1git91f4b1-7.1build1 source package in Ubuntu

Changelog

opengv (1.0+1git91f4b1-7.1build1) noble; urgency=medium

  * No-change rebuild for CVE-2024-3094

 -- Steve Langasek <email address hidden>  Sun, 31 Mar 2024 06:40:11 +0000

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Uploaded by:
Steve Langasek
Uploaded to:
Noble
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Noble release universe misc

Downloads

File Size SHA-256 Checksum
opengv_1.0+1git91f4b1.orig.tar.gz 1.1 MiB 634a049f3d6212c3948e9d355e9c5b658bc687997783a4f5041d17e6a38716b2
opengv_1.0+1git91f4b1-7.1build1.debian.tar.xz 4.9 KiB 7caa196d5a7173cc4bbb923a2b6fc7bdf08b74a3a539c7b04289b377a9b8b0cf
opengv_1.0+1git91f4b1-7.1build1.dsc 2.5 KiB 780becc1fad17f25e32415946cb89bf215f1c6c77e37127b52bcc95cf8172173

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Binary packages built by this source

libopengv-dev: Computer vision methods for solving geometric vision problems.

 Contains absolute-pose, relative-pose, triangulation, and point-cloud alignment
 methods for the calibrated case. All problems can be solved with central or
 non-central cameras, and embedded into a random sample consensus or nonlinear
 optimization context. Matlab and Python interfaces are implemented as well
 .
 This package contains the build-time libraries

libopengv-doc: Computer vision methods for solving geometric vision problems.

 Contains absolute-pose, relative-pose, triangulation, and point-cloud alignment
 methods for the calibrated case. All problems can be solved with central or
 non-central cameras, and embedded into a random sample consensus or nonlinear
 optimization context. Matlab and Python interfaces are implemented as well
 .
 This package contains the documentation

libopengv1t64: Computer vision methods for solving geometric vision problems.

 Contains absolute-pose, relative-pose, triangulation, and point-cloud alignment
 methods for the calibrated case. All problems can be solved with central or
 non-central cameras, and embedded into a random sample consensus or nonlinear
 optimization context. Matlab and Python interfaces are implemented as well
 .
 This package contains the run-time libraries

libopengv1t64-dbgsym: debug symbols for libopengv1t64
python3-opengv: Computer vision methods for solving geometric vision problems.

 Contains absolute-pose, relative-pose, triangulation, and point-cloud alignment
 methods for the calibrated case. All problems can be solved with central or
 non-central cameras, and embedded into a random sample consensus or nonlinear
 optimization context. Matlab and Python interfaces are implemented as well
 .
 This package contains the Python interface