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Package: python3-gtsam (4.2.0+dfsg-6)

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

Other Packages Related to python3-gtsam

  • depends
  • recommends
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  • dep: libboost-serialization1.90.0 (>= 1.90.0)
    serialization library for C++
  • dep: libc6 (>= 2.34)
    Package not available
  • dep: libgcc-s1 (>= 3.3.1) [amd64]
    GCC support library
    dep: libgcc-s1 (>= 4.5) [not amd64]
  • dep: libgtsam4 (= 4.2.0+dfsg-6)
    Factor graphs for sensor fusion in robotics
  • dep: libstdc++6 (>= 14)
    GNU Standard C++ Library v3
  • dep: libtbb12 (>= 2021.4.0) [amd64]
    parallelism library for C++ - runtime files
    dep: libtbb12 (>= 2022.3.0) [not amd64]
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.15)
    dep: python3 (>= 3.14~)
  • dep: python3-numpy
    Python library for numerical computations (Python 3)

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amd64 6,153.0 kB42750 kB [list of files]
arm64 6,150.4 kB48134 kB [list of files]
riscv64 7,344.2 kB49046 kB [list of files]