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
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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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 |
Available diffs
No changes file available.
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