https://github.com/jacob-pitsenberger/face-detection-over-webcam-or-tello-drone-video-stream-python-opencv

https://github.com/jacob-pitsenberger/face-detection-over-webcam-or-tello-drone-video-stream-python-opencv

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/jacob-pitsenberger/face-detection-over-webcam-or-tello-drone-video-stream-python-opencv
• Owner: Jacob-Pitsenberger
• License: ncsa
• Created: 2023-10-16T20:43:32.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2023-11-02T17:44:12.000Z (about 1 year ago)
• Last Synced: 2023-11-02T18:38:20.521Z (about 1 year ago)
• Language: Python
• Size: 134 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
## Face Detection and Count

This repository demonstrates using OpenCV with the TelloEDU mini drone or a computer's web camera to perform facial detection and keep track of the number of faces detected at a given time.

**Author:** Jacob Pitsenberger

**Date:** 10/16/23

### Purpose

This repository showcases how to utilize OpenCV for real-time facial detection using the TelloEDU mini drone's camera or a computer's webcam. It detects faces in the camera stream and draws rectangles around them, along with counting the number of faces detected.

### Instructions

To run the module, ensure you have the required dependencies installed:

```bash

pip install opencv-python

```

Run the script `detect_faces_webcam.py` and observe the facial detection over your computers internal webcam stream. 

Run the script `detect_faces_tello.py` and observe the facial detection over your Tello drones video stream. 

Both scripts utilize the FrontalFaceDetector class from the `frontal_face_detector.py` which utilizes the `haarcascade_frontalface_default.xml` from the `data-files` folder of the `FaceDetection` package to perform facial detections and draw them over our video stream frames.