normals_Hough | Normal Estimation in Unstructured Point Clouds

 by   aboulch C++ Version: v0.1 License: Non-SPDX

kandi X-RAY | normals_Hough Summary

kandi X-RAY | normals_Hough Summary

normals_Hough is a C++ library. normals_Hough has no bugs, it has no vulnerabilities and it has low support. However normals_Hough has a Non-SPDX License. You can download it from GitHub.

Normal Estimation in Unstructured Point Clouds with Hough transform.
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            kandi-support Support

              normals_Hough has a low active ecosystem.
              It has 42 star(s) with 24 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 3 have been closed. On average issues are closed in 205 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of normals_Hough is v0.1

            kandi-Quality Quality

              normals_Hough has no bugs reported.

            kandi-Security Security

              normals_Hough has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              normals_Hough 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

              normals_Hough releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            normals_Hough Key Features

            No Key Features are available at this moment for normals_Hough.

            normals_Hough Examples and Code Snippets

            Examples and tests,Python,Building the wrapper
            C++dot img1Lines of Code : 1dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            pip install -ve /path/to/notmals_Hough/
              
            Examples and tests,Python,Python test
            C++dot img2Lines of Code : 1dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
            python example.py
              

            Community Discussions

            No Community Discussions are available at this moment for normals_Hough.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install normals_Hough

            You can download it from GitHub.

            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

            https://github.com/aboulch/normals_Hough.git

          • CLI

            gh repo clone aboulch/normals_Hough

          • sshUrl

            git@github.com:aboulch/normals_Hough.git

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