https://github.com/jackkweyunga/opencv_face_recognition_for_security_past
https://github.com/jackkweyunga/opencv_face_recognition_for_security_past
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/jackkweyunga/opencv_face_recognition_for_security_past
- Owner: jackkweyunga
- Created: 2022-06-08T08:29:25.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-06-08T12:08:25.000Z (about 4 years ago)
- Last Synced: 2025-03-08T00:28:30.820Z (over 1 year ago)
- Language: Python
- Size: 97.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Real-time-Face-Recognition-using-OpenCV-and-webcam
I used the OpenCV library in Python to do a real-time Face recognition using the computer webcam.
https://opencv.org/
Face detection is done using feature-based cascade classifiers.
https://docs.opencv.org/3.3.0/d7/d8b/tutorial_py_face_detection.html
This project contains 2 python scripts. The first script is the datagathering in which individuals' pictures are gathered to be uses in the recognition process.
the recognizer script with then train and run the model.
Before starting the data gathering, a driectory for the project should be created.
mkdir project
haarcascade_frontalface_default.xml should be downloaded to the project's directory.
(the project directory should containg the python scripts and the haarcascade part.)
then the "subdirectory" for datagathering should be created. In this subdirectory picture samples for each individual is stored.
mkdir data
haarcascade_frontalface_default.xml:
https://github.com/opencv/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml
Based on a complete Tutorial:
https://www.instructables.com/id/Real-time-Face-Recognition-an-End-to-end-Project/
"# opencv_face_recognition_for_security"