This Python script detects faces in an image using OpenCV's pre-trained face cascade classifier. It draws rectangles around the detected faces and displays the result using the PIL library.
- Python 3. (The code is compatible with Python 3.6 or higher)
- OpenCV (Install using pip install opencv-python)
- Pillow (Install using pip install pillow)
Clone the repository or download the script file (face_detection.py) to your local machine. Ensure that the required Python packages (OpenCV and Pillow) are installed. You can install them by running the following commands:
pip install opencv-python
pip install pillow
or
pip install -r requirements.txt
Place the image you want to detect faces in the images folder. Make sure the image file is in a supported format (e.g., JPEG, PNG). Update the image_path variable in the script (index.py) to the path of your image file ( on line 8 ). For example:
image = cv2.imread('images/image_multi.jpg')
Run the script using the following command: python index.py.
If you would like to contribute to this web application, please open an issue on GitHub to discuss your ideas or proposed changes. Pull requests are also welcome.
This drawing web application is available under the MIT License. You are free to use, modify, and distribute this project as you see fit.