clap-detection | Simple clap rhythm detection on Raspberry Pi

 by   iver56 Python Version: Current License: MIT

kandi X-RAY | clap-detection Summary

kandi X-RAY | clap-detection Summary

clap-detection is a Python library typically used in Internet of Things (IoT), Tensorflow, OpenCV, Raspberry Pi applications. clap-detection has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However clap-detection build file is not available. You can download it from GitHub.

Simple clap rhythm detection on Raspberry Pi using Csound and Python. Toy example.
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            kandi-support Support

              clap-detection has a low active ecosystem.
              It has 26 star(s) with 3 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 3 have been closed. On average issues are closed in 198 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of clap-detection is current.

            kandi-Quality Quality

              clap-detection has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              clap-detection 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

              clap-detection releases are not available. You will need to build from source code and install.
              clap-detection has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              clap-detection saves you 38 person hours of effort in developing the same functionality from scratch.
              It has 103 lines of code, 10 functions and 2 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed clap-detection and discovered the below as its top functions. This is intended to give you an instant insight into clap-detection implemented functionality, and help decide if they suit your requirements.
            • Calls claps .
            • Initialize the recording .
            • Convert a list of note lengths to normalized
            • Register a callback for the clap .
            • Register a callback for the clap sequence .
            Get all kandi verified functions for this library.

            clap-detection Key Features

            No Key Features are available at this moment for clap-detection.

            clap-detection Examples and Code Snippets

            No Code Snippets are available at this moment for clap-detection.

            Community Discussions

            Trending Discussions on Internet of Things (IoT)

            QUESTION

            Display data from two json files in react native
            Asked 2020-May-17 at 23:55

            I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

            ...

            ANSWER

            Answered 2020-May-17 at 23:55

            The new object to get params in React Navigation 5 is:

            Source https://stackoverflow.com/questions/61859411

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

            Vulnerabilities

            No vulnerabilities reported

            Install clap-detection

            Install Python 2.7
            Install Csound

            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/iver56/clap-detection.git

          • CLI

            gh repo clone iver56/clap-detection

          • sshUrl

            git@github.com:iver56/clap-detection.git

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