https://github.com/akash-peace/face-recognition

AJ Face Recognizer project objective is to make a face recognizing model from own dataset of two faces.
https://github.com/akash-peace/face-recognition

facenet keras matplotlib mtcnn npz numpy opencv pickle pillow python3 sav scikit-learn

Last synced: about 6 hours ago
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AJ Face Recognizer project objective is to make a face recognizing model from own dataset of two faces.

• Host: GitHub
• URL: https://github.com/akash-peace/face-recognition
• Owner: Akash-Peace
• License: mit
• Created: 2021-04-12T12:44:21.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-03-19T06:10:30.000Z (almost 3 years ago)
• Last Synced: 2023-08-20T20:34:04.571Z (over 1 year ago)
• Topics: facenet, keras, matplotlib, mtcnn, npz, numpy, opencv, pickle, pillow, python3, sav, scikit-learn
• Language: Python
• Homepage: https://github.com/Akash-Peace/FACE-RECOGNITION/tree/main/output_imgs_%26_vdos
• Size: 5.98 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        



  

  
AJ FACE RECOGNIZER

  


    A Face Recognition System

    


    


    View Predictions

    ·

    Report Bug

    ·

    Request Feature

  


  Table of Contents

  


    
About The Project

    
Built With

    
Powered By

    
Data

    
License

    
My System Spec

    
Contact

  


## About The Project

AJ Face Recognizer project objective is to make a face recognizing model from own dataset of two faces which one is [Arya Stark](https://en.wikipedia.org/wiki/Arya_Stark) and the another one is [Jon Snow](https://en.wikipedia.org/wiki/Jon_Snow_(character)). First of all, Image processing is done with [Pillow](https://python-pillow.org/) and [OpenCV](https://opencv.org/). For dataset, face extraction and face embeddings are done with [MTCNN](https://pypi.org/project/mtcnn/) and [FaceNet_Keras](https://keras.io/). Final model is trained by Support Vector Machine's SVC(Linear) from [Scikit-learn](https://scikit-learn.org/stable/) and Precdictions are applicable for both images and videos. [MIT](https://github.com/Akash-Peace/FACE-RECOGNITION/blob/main/LICENSE) licenses this project and it is free to use, fork, modify and distribute. If you like this project, give a _star_ and follow me.

## Built With

* [Python](https://www.python.org/)

## Powered By

* [Numpy](https://numpy.org/)

* [OpenCV](https://opencv.org/)

* [Matplotlib](https://matplotlib.org/)

* [Keras](https://keras.io/)

* [Scikit-learn](https://scikit-learn.org/stable/)

* [MTCNN](https://pypi.org/project/mtcnn/)

* [Pillow](https://python-pillow.org/)

* [Pickle](https://docs.python.org/3/library/pickle.html#module-pickle)

## Data

* [Result data](https://github.com/Akash-Peace/FACE-RECOGNITION/tree/main/output_imgs_%26_vdos)

* [Test data](https://github.com/Akash-Peace/FACE-RECOGNITION/tree/main/testing_imgs)

* [Trained data](https://github.com/Akash-Peace/FACE-RECOGNITION/tree/main/fr_datasets)

* [Classified data](https://github.com/Akash-Peace/FACE-RECOGNITION/tree/main/face_extracted)

* [Unclassified data](https://github.com/Akash-Peace/FACE-RECOGNITION/tree/main/face_extracted_all)

* [Original data](https://github.com/Akash-Peace/FACE-RECOGNITION/tree/main/img_data)

## License

Distributed under the MIT License. See [LICENSE](https://github.com/Akash-Peace/FACE-RECOGNITION/blob/main/LICENSE) for more information.

## My System Spec

**OS:** [Pop!_os](https://pop.system76.com/)\

**Model:** Acer Aspire 5 A515-51G\

**Processor:** Intel i5 7th gen\

**Ram:** DDR4 8gb\

**Disk:** HDD 100gb

## Contact

Akash.A,\

Computer Science Engineer,\

[email protected],\

8608550403,\

Chennai.

![GitHub metrics](https://metrics.lecoq.io/Akash-Peace)  

Follow me on

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