face_recognition_pi | Face Recognition Docker Images for Raspberry Pi
kandi X-RAY | face_recognition_pi Summary
kandi X-RAY | face_recognition_pi Summary
face_recognition_pi is a Python library typically used in Internet of Things (IoT), Docker, Raspberry Pi, Ubuntu applications. face_recognition_pi has no bugs, it has no vulnerabilities and it has low support. However face_recognition_pi build file is not available. You can download it from GitHub.
Docker Image for face_recognition on Raspberry Pi. This software is released under the Apache 2.0 license.
Docker Image for face_recognition on Raspberry Pi. This software is released under the Apache 2.0 license.
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face_recognition_pi has a low active ecosystem.
It has 34 star(s) with 12 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
face_recognition_pi has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of face_recognition_pi is current.
Quality
face_recognition_pi has 0 bugs and 0 code smells.
Security
face_recognition_pi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
face_recognition_pi code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
face_recognition_pi does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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face_recognition_pi releases are not available. You will need to build from source code and install.
face_recognition_pi has no build file. You will be need to create the build yourself to build the component from source.
face_recognition_pi saves you 11 person hours of effort in developing the same functionality from scratch.
It has 33 lines of code, 1 functions and 1 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of face_recognition_pi
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of face_recognition_pi
face_recognition_pi Key Features
No Key Features are available at this moment for face_recognition_pi.
face_recognition_pi Examples and Code Snippets
No Code Snippets are available at this moment for face_recognition_pi.
Community Discussions
Trending Discussions on face_recognition_pi
QUESTION
Docker: Failed building wheel for scipy
Asked 2020-Mar-18 at 00:50
I'm trying for facerecogition from (https://github.com/jamct/facerec) on my raspberry pi 3. Therefore the by runs with the newest version of Raspbian Stretch.
I am running:
...ANSWER
Answered 2020-Mar-18 at 00:50You have to install Pybind11 before building SciPy:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install face_recognition_pi
You can download it from GitHub.
You can use face_recognition_pi 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.
You can use face_recognition_pi 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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