fastfunc | Fast numpy ufunc operations | Computer Vision library

 by   nschloe C++ Version: v0.2.4 License: MIT

kandi X-RAY | fastfunc Summary

kandi X-RAY | fastfunc Summary

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

NumPy's own ufunc operations are handy, but can be quite slow (see and Use fastfunc as a drop-in replacement. to get a speed-up by a factor of 40. This is achieved by moving the operations to C++ using pybind11.
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              fastfunc has a low active ecosystem.
              It has 9 star(s) with 0 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 164 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fastfunc is v0.2.4

            kandi-Quality Quality

              fastfunc has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              fastfunc is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fastfunc releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            fastfunc Key Features

            No Key Features are available at this moment for fastfunc.

            fastfunc Examples and Code Snippets

            fastfunc
            C++dot img1Lines of Code : 9dot img1License : Permissive (MIT)
            copy iconCopy
            # import numpy
            # numpy.add.at(target, idx, vals)
            
            import fastfunc
            
            fastfunc.add.at(target, idx, vals)
            
            # If you really only need _add_, you can use
            # numpy.bincount(idx, weights=vals, minlength=target.shape[0])
              
            Installation
            C++dot img2Lines of Code : 1dot img2License : Permissive (MIT)
            copy iconCopy
            pip install -U fastfunc
              
            Testing
            C++dot img3Lines of Code : 1dot img3License : Permissive (MIT)
            copy iconCopy
            pytest
              

            Community Discussions

            QUESTION

            Is System.Action an array internally? Efficiency of its += and -= operators
            Asked 2019-Nov-18 at 20:58

            I need to constantly add and remove actions to the delegate, should I use a hashset instead of actions?

            What I currently have:

            ...

            ANSWER

            Answered 2019-Nov-18 at 20:29

            See https://docs.microsoft.com/en-us/dotnet/api/system.multicastdelegate?view=netframework-4.8

            All delagates in . Net are in fact multicast delegates, as per that article they are implemented as a linked list.

            Source https://stackoverflow.com/questions/58922311

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

            Vulnerabilities

            No vulnerabilities reported

            Install fastfunc

            fastfunc is available from the Python Package Index, so simply do. to install or upgrade.

            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/nschloe/fastfunc.git

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            gh repo clone nschloe/fastfunc

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            git@github.com:nschloe/fastfunc.git

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