face detection using python flask, opencv and mtcnn

Published: 26 December 2023
on channel: Prakash

252

Face Recognition with MTCNN and OpenCV

Welcome to this tutorial where we explore real-time face recognition using the MTCNN (Multi-task Cascaded Convolutional Networks) algorithm and OpenCV in Python.

Project Overview
In this project, we use the MTCNN library to detect faces in a live video stream captured from a webcam. The detected faces are then outlined with rectangles, providing a simple yet effective real-time face recognition demonstration.

Dependencies
Python: [https://www.python.org/downloads/](https://www.python.org/downloads/)
OpenCV: [https://pypi.org/project/opencv-python/](https://pypi.org/project/opencv-python/)
MTCNN: [https://pypi.org/project/mtcnn/](https://pypi.org/project/mtcnn/)

How to Run the Project
1. Install Python, OpenCV, and MTCNN using the provided links.
2. Copy and paste the Python code from the GitHub repository (link below) into your preferred Python environment.
3. Run the script to start real-time face recognition.

Code Repository
Find the complete code on GitHub: [https://github.com/prakash-2001/face-detec...]

Adjusting Frame Rate
To adjust the frame rate of the video, modify the `target_fps` variable in the code. Be mindful of system performance when setting higher frame rates.

Credits
MTCNN Library: [https://github.com/ipazc/mtcnn](https://github.com/ipazc/mtcnn)
OpenCV Library: [https://opencv.org/]

Connect with Me
Subscribe to my channel for more tutorials.
GitHub: [https://github.com/prakash-2001/]

Support the Channel
If you find this tutorial helpful, don't forget to like, share, and subscribe! Your support keeps the content coming.

Thanks for watching! Happy coding! 👩‍💻🚀

On this page of the site you can watch the video online face detection using python flask, opencv and mtcnn with a duration of hours minute second in good quality, which was uploaded by the user Prakash 26 December 2023, share the link with friends and acquaintances, this video has already been watched 252 times on youtube and it was liked by 5 viewers. Enjoy your viewing!

13,624

228