This repository contains a Python script that uses OpenCV and dlib to perform headshot tracking. The script captures video from your default camera, detects a face, and then tracks the 28th facial landmark (located between the eyebrows) with a red dot. It also draws a red circle, black lines, and displays coordinates, creating a "headshot tracking" effect. The red dot is always on top of the black lines.
Before running the code, ensure you have the following installed:
- Python 3
- OpenCV
- dlib
- NumPy
You can install the required libraries using pip:
pip install opencv-python-headless
pip install dlib- Clone this repository to your local machine.
git clone https://github.com/VivekSai07/Headshot-tracking.git- Change into the project directory:
cd headshot-tracking- Run the Python script:
python Headshot Tracking.py- The application will open a window displaying the camera feed with the headshot tracking effect.
- Press the 'Esc' key to exit the application.
You can customize the behavior of the code by adjusting parameters in the headshot_tracking.py file. For example, you can change the color of the red dot, circle, or lines, or modify the landmark position.
This code is built upon the foundations of OpenCV and dlib and was created for educational purposes. If you find this code useful or have any suggestions, feel free to contribute or provide feedback.