https://github.com/jaybfn/simple-opencv-project
Face detection with Haar cascades is a machine learning strategy that involves a cascade function with a collection of input data. Many pre-trained classifiers for the face, eyes, smile and body , and other facial features are already included in OpenCV. We'll be utilizing some of the haar cascade classifier today to detect face, eye and smile on a webcam.
https://github.com/jaybfn/simple-opencv-project
computer-vision face-detection opencv-python python3
Last synced: 11 days ago
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Face detection with Haar cascades is a machine learning strategy that involves a cascade function with a collection of input data. Many pre-trained classifiers for the face, eyes, smile and body , and other facial features are already included in OpenCV. We'll be utilizing some of the haar cascade classifier today to detect face, eye and smile on a webcam.
- Host: GitHub
- URL: https://github.com/jaybfn/simple-opencv-project
- Owner: jaybfn
- License: mit
- Created: 2022-02-06T23:12:42.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-02-06T23:14:28.000Z (over 4 years ago)
- Last Synced: 2025-02-23T22:25:52.710Z (over 1 year ago)
- Topics: computer-vision, face-detection, opencv-python, python3
- Language: Python
- Homepage:
- Size: 282 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# A smiple OpenCV project which demonstrates Face, Eye and Smile detection using Haar Classifier.
### Description:
Face detection with Haar cascades is a machine learning strategy that involves a cascade function with a collection of input data.
Many pre-trained classifiers for the face, eyes, smile and body , and other facial features are already included in OpenCV.
We'll be utilizing some of the haar cascade classifier today to detect face, eye and smile on a webcam.
### Tech stack
1. Anaconda (https://docs.anaconda.com/anaconda/install/index.html) or VS code (https://code.visualstudio.com/download)
2. python 3.9
3. OpenCV (to install using pip, just type in the command terminal 'pip install opencv-python')
### Usage:
1. git clone this repo
2. Also, make sure you have installed OpenCV (more info: https://pypi.org/project/opencv-python/)
3. from your terminal run the .py file as 'python detection.py'