facedet | 实现常用基于深度学习的人脸检测算法 - | Machine Learning library

 by   guanfuchen Python Version: Current License: No License

kandi X-RAY | facedet Summary

kandi X-RAY | facedet Summary

facedet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. facedet has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

facedet
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            kandi-support Support

              facedet has a low active ecosystem.
              It has 111 star(s) with 21 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 6 open issues and 2 have been closed. On average issues are closed in 7 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of facedet is current.

            kandi-Quality Quality

              facedet has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              facedet 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

              facedet 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.
              facedet saves you 545 person hours of effort in developing the same functionality from scratch.
              It has 1276 lines of code, 77 functions and 21 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed facedet and discovered the below as its top functions. This is intended to give you an instant insight into facedet implemented functionality, and help decide if they suit your requirements.
            • Example showing the example
            • Compute the NMS of a box
            • Decode bounding box
            • Compute the L1 objective function
            • Hard mining
            • Compute the cross - entropy loss of the loss
            • Train the model
            Get all kandi verified functions for this library.

            facedet Key Features

            No Key Features are available at this moment for facedet.

            facedet Examples and Code Snippets

            No Code Snippets are available at this moment for facedet.

            Community Discussions

            Trending Discussions on facedet

            QUESTION

            Error in installing dlib refering to cmake
            Asked 2020-Jan-13 at 09:24

            So basically i want to use the Python face-recognition library and for that i have to install dlib. I am a windows user and while trying to install dlib i am getting this error

            ...

            ANSWER

            Answered 2020-Jan-13 at 09:24

            try with face_recognition==0.2.2 version and its working with dlib==19.3.1

            Hope this will help.

            Source https://stackoverflow.com/questions/59713097

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

            Vulnerabilities

            No vulnerabilities reported

            Install facedet

            You can download it from GitHub.
            You can use facedet 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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            CLONE
          • HTTPS

            https://github.com/guanfuchen/facedet.git

          • CLI

            gh repo clone guanfuchen/facedet

          • sshUrl

            git@github.com:guanfuchen/facedet.git

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