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Пакет: python3-gtsam (4.2.0+dfsg-1build1)

Factor graphs for sensor fusion in robotics

GTSAM is a C++ library that implements sensor fusion for robotics and computer vision applications, including SLAM (Simultaneous Localization and Mapping), VO (Visual Odometry), and SFM (Structure from Motion). It uses factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices to optimize for the most probable configuration or an optimal plan. Coupled with a capable sensor front-end (not provided here), GTSAM powers many impressive autonomous systems, in both academia and industry.

Python library

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  • dep: libboost-serialization1.83.0 (>= 1.83.0)
    serialization library for C++
  • dep: libc6 (>= 2.32)
    GNU C Library: Shared libraries
    также виртуальный пакет, предоставляемый libc6-udeb
  • dep: libgcc-s1 (>= 3.3.1) [amd64]
    GCC support library
    dep: libgcc-s1 (>= 4.5) [не amd64]
  • dep: libgtsam4 (= 4.2.0+dfsg-1build1)
    Factor graphs for sensor fusion in robotics
  • dep: libstdc++6 (>= 13.1)
    GNU Standard C++ Library v3
  • dep: libtbb12 (>= 2021.11.0) [не amd64]
    parallelism library for C++ - runtime files
    dep: libtbb12 (>= 2021.4.0) [amd64]
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.13)
    dep: python3 (>= 3.12~)
  • dep: python3-numpy
    Fast array facility to the Python language (Python 3)

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