Пакет: python3-gtsam (4.2.0+dfsg-3) [debports]

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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

Други пакети, свързани с python3-gtsam

• dep: libboost-serialization1.83.0 (>= 1.83.0)

  serialization library for C++

• dep: libc6 (>= 2.34)

  GNU C Library: Shared libraries
  също и виртуален пакет, предлаган от libc6-udeb

• dep: libgcc-s1 (>= 3.4)

  GCC support library

• dep: libgtsam4 (= 4.2.0+dfsg-3)

  Factor graphs for sensor fusion in robotics

• dep: libstdc++6 (>= 14)

  GNU Standard C++ Library v3

• dep: libtbb12 (>= 2022.3.0)

  parallelism library for C++ - runtime files

• dep: python3

  interactive high-level object-oriented language (default python3 version)

  dep: python3 (<< 3.14)

  dep: python3 (>= 3.13~)

• dep: python3-numpy

  Python library for numerical computations (Python 3)

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