gtsam | GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, | Robotics library

 by   borglab C++ Version: 4.2a9 License: Non-SPDX

kandi X-RAY | gtsam Summary

kandi X-RAY | gtsam Summary

gtsam is a C++ library typically used in Automation, Robotics applications. gtsam has no bugs, it has no vulnerabilities and it has medium support. However gtsam has a Non-SPDX License. You can download it from GitHub.

GTSAM is a C++ library that implements smoothing and mapping (SAM) in robotics and vision, using Factor Graphs and Bayes Networks as the underlying computing paradigm rather than sparse matrices.
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            kandi-support Support

              gtsam has a medium active ecosystem.
              It has 2007 star(s) with 647 fork(s). There are 60 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 73 open issues and 412 have been closed. On average issues are closed in 124 days. There are 13 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of gtsam is 4.2a9

            kandi-Quality Quality

              gtsam has 0 bugs and 0 code smells.

            kandi-Security Security

              gtsam has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              gtsam code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              gtsam has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              gtsam releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 51155 lines of code, 1489 functions and 396 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            gtsam Key Features

            No Key Features are available at this moment for gtsam.

            gtsam Examples and Code Snippets

            No Code Snippets are available at this moment for gtsam.

            Community Discussions

            QUESTION

            Linker can not find __imp_clock and __imp_time64 when building a sample of GTSAM
            Asked 2021-Jul-11 at 14:06

            I build GTSAm in windows and now I am trying to build sample application with it.

            The sample application is very simple (it is part of GTSAM) but when I run it, I am getting this linker error:

            ...

            ANSWER

            Answered 2021-Jul-11 at 14:06

            __imp_ prefix in unresolved external runtime library symbol from the linked library means the library was built with DLL runtime (/MD in C++ -> Code Generation -> Runtime Library).

            If you build the application with static runtime (/MT) the symbols from the DLL runtime will be unresolved. Runtime settings should be the same for all compilation units.

            Source https://stackoverflow.com/questions/68330445

            QUESTION

            How to adjust the size of shapes in order to fit the screen and align them to center?
            Asked 2020-Aug-07 at 10:27

            In the app I am working on, I have used PocketSVG to read paths stored in .svg file the following way (init):

            ...

            ANSWER

            Answered 2020-Aug-07 at 10:27

            Instead of GeometryReader use the max frame for ZStack as follows

            Source https://stackoverflow.com/questions/63291089

            QUESTION

            How to detect in bash script or docker file if the build is taking place on a docker hub server?
            Asked 2020-Jun-22 at 20:46

            So I have a docker file which compiles and installs gtsam with cython wrapper. The docker setup works fine on the local machine but it runs out of memory when building on docker hubs automated build. I believe I can reduce the memory usage by changing to make -j1, but I'd still like faster builds when performed locally. I tried accessing the sys/fs/cgroup/memory/memory.limit_in_bytes which shows to be 9223372036854771712 way more then the 2G limit on the servers.

            Is there a way to detect if the build is taking place through the automated build and accordingly adjust the -j flag

            ...

            ANSWER

            Answered 2020-Jun-22 at 20:46

            Docker Hub sets environment variables that are available at build time.

            For example, you can test if the build process happens on Docker Hub by checking if SOURCE_BRANCH is set.

            The full list of env variables can be found here.

            Source https://stackoverflow.com/questions/62522116

            QUESTION

            Seg fault in unit tests when library source files are compiled separately
            Asked 2020-May-04 at 09:03

            I'm writing a small library and have until now added the library source file directly with the unit test in the add_executable command, similarly to below :

            CMakeLists.txt (Resulting executable OK) ...

            ANSWER

            Answered 2020-May-04 at 09:03

            Your library uses Eigen3 library, which is also part of gtsam library used in the tests. You need to make sure that in both cases the same Eigen3 library is used, otherwise subtle bugs could happen (like the one you observe).

            Technically, your library and gtsam-based test are separate objects files, so they are compiled independently and both of them are correct.

            It is a linker who could perform unwanted optimizations like merging functions from these object files. E.g. in case these functions have the same name. If you find a way to forbid such sort of optimizations for the linker, then resulted test could work correctly even in case of incompatible Eigen3 libraries used for your library in by gtsam.

            However, disabling linker optimizations is a very subtle way from the view of stability of your project. Use this way only as the last resort.

            Source https://stackoverflow.com/questions/61577040

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install gtsam

            In the root library folder execute:.
            Boost >= 1.65 (Ubuntu: sudo apt-get install libboost-all-dev)
            CMake >= 3.0 (Ubuntu: sudo apt-get install cmake)
            A modern compiler, i.e., at least gcc 4.7.3 on Linux.
            Intel Threaded Building Blocks (TBB) (Ubuntu: sudo apt-get install libtbb-dev)
            Intel Math Kernel Library (MKL) (Ubuntu: installing using APT) See INSTALL.md for more installation information Note that MKL may not provide a speedup in all cases. Make sure to benchmark your problem with and without MKL.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/borglab/gtsam.git

          • CLI

            gh repo clone borglab/gtsam

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            git@github.com:borglab/gtsam.git

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