Ubuntu
opengv package

opengv 1.0+1git91f4b1-7.1 source package in Ubuntu

Changelog

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

  * Non-maintainer upload.
  * Rename libraries for 64-bit time_t transition.  Closes: #1063087

 -- Benjamin Drung <email address hidden>  Thu, 29 Feb 2024 12:19:02 +0000

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
opengv_1.0+1git91f4b1-7.1.dsc 2.3 KiB 81a40fb7af2b90bde692600a27c31d742a8f29e33b0c94a353ab7f1b30cf6039
opengv_1.0+1git91f4b1.orig.tar.gz 1.1 MiB 634a049f3d6212c3948e9d355e9c5b658bc687997783a4f5041d17e6a38716b2
opengv_1.0+1git91f4b1-7.1.debian.tar.xz 4.8 KiB 14f039f7ea941193037788e278f55071ef3adefdbc6c3d855389f1dc6c60ef0d

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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