facepy | A Python framework for facial recognition | Computer Vision library

 by   IvanoBilenchi Python Version: Current License: MIT

kandi X-RAY | facepy Summary

kandi X-RAY | facepy Summary

facepy is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Computer Vision, Deep Learning, Tensorflow, OpenCV applications. facepy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

FacePy is a Python framework that allows you to use a number of facial recognition algorithms for both verification and identification purposes. It makes use of the OpenCV and Dlib libraries for processing and recognition tasks, and the LFW dataset for training and performance evaluation. The system has been developed as the end of year project for the Image Processing and Computer Vision exam.
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            kandi-support Support

              facepy has a low active ecosystem.
              It has 8 star(s) with 1 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              facepy has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of facepy is current.

            kandi-Quality Quality

              facepy has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              facepy 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

              facepy 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.
              Installation instructions are available. Examples and code snippets are not available.
              It has 1776 lines of code, 235 functions and 32 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed facepy and discovered the below as its top functions. This is intended to give you an instant insight into facepy implemented functionality, and help decide if they suit your requirements.
            • Evaluate face verification
            • Print confusion matrix
            • Extract features from an image
            • Return a list of all the trails of the Landmarks
            • Save image to path
            • Evaluate the classifier
            • Calculates the precision - recall accuracy
            • Process command line arguments
            • Build argument parser
            • Process a frame
            • Adds a sample to the face
            • Evaluate an image
            • Train the verification loop
            • Create a FaceVerifier from a given directory
            • Train the model
            • Create a new face classifier from a directory
            • Render text on image
            • Detect the main face of a frame
            • Converts masked image to rectangular coordinates
            • Convert data to face samples
            • Load the model
            • Create a face verification
            • Create a Face classifier
            • Denoises an image
            • Return True if the face is below the threshold
            • Run verification loop
            Get all kandi verified functions for this library.

            facepy Key Features

            No Key Features are available at this moment for facepy.

            facepy Examples and Code Snippets

            No Code Snippets are available at this moment for facepy.

            Community Discussions

            Trending Discussions on facepy

            QUESTION

            How to edit a facebook post in Python?
            Asked 2020-Dec-01 at 02:43

            I have a post on my fb page which I need to update several times a day with data elaborated in a python script. I tried using Selenium, but it gets often stuck when saving the post hence the script gets stuck too, so I'm trying to find a way to do the job within python itself without using a web browser.

            I wonder is there a way to edit a FB post using a python library such as Facepy or similar?

            I'm reading the graph API reference but there are no examples to learn from, but I guess first thing is to set up the login. On the facepy github page is written that

            note that Facepy does not do authentication with Facebook; it only consumes its API. To get an access token to consume the API on behalf of a user, use a suitable OAuth library for your platform

            I tried logging in with BeautifulSoup

            ...

            ANSWER

            Answered 2020-Dec-01 at 02:42

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

            Vulnerabilities

            No vulnerabilities reported

            Install facepy

            FacePy comes with a setup script that downloads and installs all the required dependencies. Python package dependencies are automatically installed in a fresh venv in order to avoid messing with globally installed packages. To uninstall FacePy, just delete the facepy dir.
            Clone this repository: git clone https://github.com/IvanoBilenchi/facepy.git
            Run the setup script: cd facepy && ./setup.sh
            Wait until installation ends (it may take a few minutes).

            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://github.com/IvanoBilenchi/facepy.git

          • CLI

            gh repo clone IvanoBilenchi/facepy

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            git@github.com:IvanoBilenchi/facepy.git

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