https://github.com/asadiahmad/face-recognition

Implementing face recognition in videos using OpenCV’s deep learning models and pre-trained ONNX models.
https://github.com/asadiahmad/face-recognition

computer-vision cosine-similarity deep-learning face-detection face-recognition feature-extraction onnx-model opencv video-processing

Last synced: 4 months ago
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Implementing face recognition in videos using OpenCV’s deep learning models and pre-trained ONNX models.

• Host: GitHub
• URL: https://github.com/asadiahmad/face-recognition
• Owner: AsadiAhmad
• License: mit
• Created: 2025-05-11T19:51:55.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-05-27T09:56:04.000Z (4 months ago)
• Last Synced: 2025-05-31T10:56:12.386Z (4 months ago)
• Topics: computer-vision, cosine-similarity, deep-learning, face-detection, face-recognition, feature-extraction, onnx-model, opencv, video-processing
• Language: Jupyter Notebook
• Homepage:
• Size: 22.8 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Face-Recognition

This project implements face recognition in videos using OpenCV’s deep learning models and pre-trained ONNX models.



  



## Tech :hammer_and_wrench: Languages and Tools :



   

   

   

   

   

   

   



- Python : Popular language for implementing Neural Network

- Jupyter Notebook : Best tool for running python cell by cell

- Google Colab : Best Space for running Jupyter Notebook with hosted server

- OpenCV : Best Library for working with images

- Numpy : Best Library for working with arrays in python

- MatPlotLib : Library for showing the charts in python

- GDown : Download Resources from Google Drive

## 💻 Run the Notebook on Google Colab

You can easily run this code on google colab by just clicking this badge [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/AsadiAhmad/Face-Recognition/blob/main/Code/Face_Recognition.ipynb)

## 🪪 License

This project is licensed under the MIT License.