uncertainty_eval

 by   mpitropov Python Version: Current License: No License

kandi X-RAY | uncertainty_eval Summary

kandi X-RAY | uncertainty_eval Summary

uncertainty_eval is a Python library. uncertainty_eval has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Uncertainty evaluation for 3D object detection. Our guide to this respository as well as recreating the results in LiDAR-MIMO: Guide.
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              uncertainty_eval has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              uncertainty_eval has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of uncertainty_eval is current.

            kandi-Quality Quality

              uncertainty_eval has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              uncertainty_eval does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              uncertainty_eval releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            uncertainty_eval Key Features

            No Key Features are available at this moment for uncertainty_eval.

            uncertainty_eval Examples and Code Snippets

            No Code Snippets are available at this moment for uncertainty_eval.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install uncertainty_eval

            You can download it from GitHub.
            You can use uncertainty_eval like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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/mpitropov/uncertainty_eval.git

          • CLI

            gh repo clone mpitropov/uncertainty_eval

          • sshUrl

            git@github.com:mpitropov/uncertainty_eval.git

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