https://github.com/carloocchiena/python_face_recognition
Static and Dynamic face recognition tests with Open CV library with Python.
https://github.com/carloocchiena/python_face_recognition
computer-vision face-detection face-recognition opencv python
Last synced: 13 days ago
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Static and Dynamic face recognition tests with Open CV library with Python.
- Host: GitHub
- URL: https://github.com/carloocchiena/python_face_recognition
- Owner: carloocchiena
- License: mit
- Created: 2021-02-10T15:15:44.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-02-15T15:09:46.000Z (over 5 years ago)
- Last Synced: 2025-08-10T03:54:45.138Z (11 months ago)
- Topics: computer-vision, face-detection, face-recognition, opencv, python
- Language: Python
- Homepage:
- Size: 15.6 KB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Python_face_recognition
## Static and Dynamic face recognition tests with Open CV library with Python.
You will find two .py files:
- static.py where faces are found on pictures or videos the user provide. Could be further developed to search for specific faces using a training set of pictures.
- dynamic.py where faces are found on a live webcam video stream.
I warmly suggest you to create a virtual environment before installing the libraries since versioning can cause a lot of conflicts.
Anaconda snippet: python -m conda create --name myenv
I used a specific distro of Open CV:
pip install opencv-contrib-python==4.1.0.25
Probably a fast\more efficient way to perform such tasks could be to install the face_recognition library but since it requires Visual Studio and at the moment I don't have it installed on my machine, I did without it.
The references and learning process in order to create such scriptes are from:
RealPython
TowardDataScience
Open CV Repo
Tiwari's Python for Engineers