particlefilter | Particle Filter | Computer Vision library

 by   mrquincle C++ Version: Current License: No License

kandi X-RAY | particlefilter Summary

kandi X-RAY | particlefilter Summary

particlefilter is a C++ library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. particlefilter has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A particle filter can be used for tracking:.
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            kandi-support Support

              particlefilter has a low active ecosystem.
              It has 26 star(s) with 8 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              particlefilter has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of particlefilter is current.

            kandi-Quality Quality

              particlefilter has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              particlefilter releases are not available. You will need to build from source code and install.

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            particlefilter Key Features

            No Key Features are available at this moment for particlefilter.

            particlefilter Examples and Code Snippets

            No Code Snippets are available at this moment for particlefilter.

            Community Discussions

            QUESTION

            nvcc Intermediate Link failure
            Asked 2021-May-09 at 18:46

            I've been struggling to fix an intermediate linking error that I get when using CMake to build my nvcc project. I've been upgrading a previous project to utilize CUDA and was able to successfully call functions from that library from host code. When I try to call functions of that library from device code, I get the intermediate linking error. I annotated all of the functions with __device__ and __host__ descriptors.

            As a side note, this is a ROS project, so I'm using some of the catkin CMake functions.

            This is a snippet from the ParticleFilter code that calls the host and device functions:

            ...

            ANSWER

            Answered 2021-May-08 at 04:22

            Here's the key issue and the part that will be most helpful to other readers of this question. Catkin configures CMake to build shared libraries by default but CUDA separable compilation and nvlink only work with static libraries. You need to set your CUDA libraries (in your case, those in cwru_davinci_kinematics) to be static, always. You can do that by adding the STATIC keyword to the add_library call, as in:

            Source https://stackoverflow.com/questions/67269257

            QUESTION

            "object has no attribute" even though it is defined in constructor and instance of an object has been created
            Asked 2020-Apr-20 at 22:13

            There have been similar questions, but none of them had answer I was looking for. I am getting: AttributeError: 'ParticleFilter' object has no attribute 'initialCoordinates' (function create_gaussian_particles) even though I have definted in in init constructor and have created an instance of it, I can't sure what is the problem, I tried to look up myself, but nothing, here is the code:

            ...

            ANSWER

            Answered 2020-Apr-20 at 22:13

            A couple of things here - first, __ init __ is not a constructor. That may seem pedantic, but it can be important not to think of it like one. Secondly, if you look at the stack trace that is produced it will tell you the exact sequence of events that occurred to cause the error. Stack traces are super helpful, not just a bunch of noise the interpreter makes when something goes wrong. They should be the first thing you look when an exception occurs. In this case, you can see that the line that causes the error:

            Source https://stackoverflow.com/questions/61332653

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

            Vulnerabilities

            No vulnerabilities reported

            Install particlefilter

            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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            CLONE
          • HTTPS

            https://github.com/mrquincle/particlefilter.git

          • CLI

            gh repo clone mrquincle/particlefilter

          • sshUrl

            git@github.com:mrquincle/particlefilter.git

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