Face-Recognition-with-CNN | Face recognition system based on Convolutional Neural

by enoreese Python Version: Current License: Apache-2.0

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kandi X-RAY | Face-Recognition-with-CNN Summary

Face-Recognition-with-CNN is a Python library. Face-Recognition-with-CNN has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Face-Recognition-with-CNN build file is not available. You can download it from GitHub.

This is the code for my Artificial Intelligence course project. Submitted to the department of Computer Science in faculty of Natural and Applied Science, Nigerian Turkish Nile University. A method to produce classification models to automatically recognize a face in an image. The method takes advantage of a FaceNet facial classification model to extract feature embeddings corresponding to the individual facial features.

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Face-Recognition-with-CNN has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Face-Recognition-with-CNN has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Face-Recognition-with-CNN is current.

Quality

Face-Recognition-with-CNN has no bugs reported.

Security

Face-Recognition-with-CNN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Face-Recognition-with-CNN is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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Face-Recognition-with-CNN releases are not available. You will need to build from source code and install.

Face-Recognition-with-CNN has no build file. You will be need to create the build yourself to build the component from source.

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Face-Recognition-with-CNN Key Features

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Face-Recognition-with-CNN Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install Face-Recognition-with-CNN

You can download it from GitHub.
You can use Face-Recognition-with-CNN 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.

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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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