This guide provides instructions on setting up and running the Face Recognition System and Attendance Viewer project. This project involves creating a face recognition system with a training GUI and an attendance viewer GUI.
Before you begin, ensure you have the following installed on your system:
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Python (3.6 or higher): Download and install Python from the official website: https://www.python.org/downloads/
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opencv-pythonlibrary: Install OpenCV using the following command:pip install opencv-python numpy library: Install numpy using the following command:
pip install numpy pandas library: Install pandas using the following command:
pip install pandas mysql-connector-python library: Install the MySQL connector using the following command:
bash Copy code pip install mysql-connector-python Installation Clone or download this repository to your local machine.
git clone https://github.com/shubham001official/face-recognition-attendance.git Navigate to the project directory.
cd face-recognition-attendance Running the Face Recognition System Navigate to the face_recognition directory.
cd face_recognition Run the following command to start the face training GUI:
python face_training_gui.py Follow the on-screen instructions to perform face training using your webcam.
Running the Attendance Viewer Navigate to the attendance_viewer directory.
cd ../attendance_viewer Run the following command to start the Attendance Viewer GUI:
python attendance_viewer_gui.py Click the "Open CSV" button to select and display attendance data from a CSV file.
Usage Use the Face Recognition System to perform face training using the face training GUI. Use the Attendance Viewer to open and view attendance data stored in CSV files. Troubleshooting If you encounter any issues, ensure that you have met the prerequisites and followed the installation steps correctly. Make sure your webcam is functional and accessible by the face training GUI.
License This project is licensed under the MIT License.