🤖Face Recognition System

This is a face recognition system implemented using Python and PyQt5. It uses the mediapipe library to perform face detection and recognition.

Requirements📝

To run this code, you will need to have the following libraries installed:

• PyQt5
• NumPy
• OpenCV
• PyAutoGUI
• mediapipe
• firebase_admin
• and any other libraries used in the code (see the list of import statements at the top of the script for details)

Usage💕

To use this code, run the script using the following command:

python GoodFaceRecognition.py

This will launch the GUI, which will automatically start the face recognition process using the default settings. You can adjust the settings using the controls provided in the GUI.

Settings⚙️

The following settings are available for this face recognition system:

• video_source: This specifies the source for the video feed that will be used for face detection and recognition. The default value is 0, which uses the default camera on your computer.
• resolution: This specifies the resolution scale of the input. the range of resolution is between 0.001 - 4. The default value is 1.
• min_detection_confidence: This specifies the minimum confidence level required for a face to be detected. The default value is 0.75.
• min_recognition_confidence: This specifies the minimum confidence level required for a face to be recognized. The default value is 0.6.
• min_faceBlur_detection: This specifies the minimum amount of blur required for a face to be detected. The default value is 24.
• autoBrightnessContrast: This specifies whether automatic brightness and contrast adjustment should be applied to the video feed. The default value is False.
• autoBrightnessValue: This specifies the amount of brightness to be applied when automatic brightness adjustment is enabled. The default value is 80.
• autoContrastValue: This specifies the amount of contrast to be applied when automatic contrast adjustment is enabled. The default value is 30.
• face_check_amount: This specifies the number of consecutive frames that a face must be detected in before it is recognized. The default value is 3.
• face_max_disappeared: This specifies the maximum number of consecutive frames that a face can be absent from the video feed before it is considered to have disappeared. The default value is 10.
• night_mode_brightness: This specifies the amount of brightness to be applied when night mode is enabled. The default value is 40.
• sharpness_filter: This specifies whether a sharpness filter should be applied to the video feed. The default value is False.
• gray_mode: This specifies whether the video feed should be displayed in grayscale. The default value is False.
• debug: This specifies whether debug information should be displayed in the GUI. The default value is False.
• fps_show: This specifies whether the current frame rate should be displayed in the GUI. The default value is False.
• average_fps: This specifies how frame rate should be display as average (easy to look) or normal (harder to look). The default value is True.
• cpu_amount: This specifies the number of CPU cores that should be used for face detection and recognition. The default value is 8.
• remember_unknown_face: This specifies whether the system should remember faces that are not recognized. The default value is True.
• face_reg_path: This specifies the path to the directory where face recognition data should be stored. The default value is `r"C:\general\Science_project