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Realtime Frontal Face Detection

Frontal-face detection using Haar-Cascade Algorithm which is one of the oldest face detection algorithms invented. It is based on the sliding window approach,giving a real-time experience with 30-40 FPS on any average CPU.

Supported Face Detection Modes
  • Image Upload
  • Webcam Image Capture
  • Webcam Video Realtime

🔥 Official Website : https://share.streamlit.io/deepeshdm/realtime_face_detection/main.py

To Run (Locally)

  1. Git clone the repository on your local system.
git clone https://github.com/deepeshdm/Realtime_Face_Detection.git
  1. Install the required dependencies to run the app
pip install -r requirements.txt
  1. Execute the "main.py" using streamlit
streamlit run main.py

Examples

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A Frontal Face detection system built capable of Realtime processing using OpenCV and Streamlit

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