Name

Real Time Face Dectector Python model to detect the faces of people provided in the dataset.

Description

This model has following key steps: - This project generates the dataset of our own by recording the the video and getting their label.

• On the basis of the generated dataset the model searches for the people's from the real time video.
• Label the people in the video according to the trained dataset with their names hovering with the rectangle floating around their face.

Prerequisites

Pyhton3 installed with following libraries on your system.

Libraries needed

1. cv2 for computer vision on images
   • Install with following command pip install opencv-python and pip install numpy
2. numpy for vedio and image processing
   • Install with following command pip install numpy
3. os for taking camera input from the machine
   • Install with following command pip install os-sys

How to run

After the installation of all packages run with the following command

1. Create a folder under the root of the project named images which will use store the dataset on which the model will be trained.
2. Generate your own dataset by executing the file Generate_Dataset.py by the following command python Generate_Dataset.py in the terminal.
3. To quit from the the process of dataset generation click on the dialog box showing the camera input and press q.
4. After successful dataset generation, execute the file face_recognition.py by the following command python face_recognition.py in the terminal.
5. Dialog box opens showing the camera input with the rectangular boxes showing around the people whose dataset is present.
6. To quit from the the process of execution click on the dialog box showing the camera input and press q.

Disclaimer

This project was by ardourApeX and CyberWake to detect faces in dataset and mark them respectively with there names.