face-detection-app | detect faces using Python and OpenCV Face | Computer Vision library

 by   HimashaHarinda Python Version: Current License: No License

kandi X-RAY | face-detection-app Summary

kandi X-RAY | face-detection-app Summary

face-detection-app is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, OpenCV applications. face-detection-app has no bugs, it has no vulnerabilities and it has low support. However face-detection-app build file is not available. You can download it from GitHub.

Application to detect faces using Python and OpenCV Face Detection Neural Network
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              face-detection-app has a low active ecosystem.
              It has 5 star(s) with 3 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              face-detection-app has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of face-detection-app is current.

            kandi-Quality Quality

              face-detection-app has no bugs reported.

            kandi-Security Security

              face-detection-app has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              face-detection-app 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

              face-detection-app releases are not available. You will need to build from source code and install.
              face-detection-app has no build file. You will be need to create the build yourself to build the component from source.

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            face-detection-app Key Features

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

            face-detection-app Examples and Code Snippets

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

            Community Discussions

            QUESTION

            React Native Component Exception: undefined is not an object (evaluating'_this')
            Asked 2020-Oct-22 at 06:31

            Iam working on face recognition app using react native 0.63. I am runing my project using react-native run-android. I get Component Exception undefined is not an object(evaluating '_this'). I am new to react native and I do not understand the meaning of this error. I am following the tutorial for this app but the tutorial is very old and thats why I am unable to update the code to latest version of react native. Here is the link of tutorial Face Recognition using react native. Please take a look and resolve my issue.

            ...

            ANSWER

            Answered 2020-Oct-22 at 06:31

            Your component is defined as const Detector = props => { making it a function component. Function components don't have a "this" and don't have methods like setState or componentDidMount. There are two ways you can solve your problem.

            1. Either you make a component that inherits from React.Component. See the docs. When you do this, this will be available, as well as other component methods like this.setState.
            2. Or you use hooks like useState to manage the state inside your components. docs

            Which one you choose depends on preference, although hooks is the "newer" way of doing things.

            Source https://stackoverflow.com/questions/64476266

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

            Vulnerabilities

            No vulnerabilities reported

            Install face-detection-app

            You can download it from GitHub.
            You can use face-detection-app 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/HimashaHarinda/face-detection-app.git

          • CLI

            gh repo clone HimashaHarinda/face-detection-app

          • sshUrl

            git@github.com:HimashaHarinda/face-detection-app.git

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