Py68FaceZones (Facial Feature Marking and Transformation Tool)

This tool uses the dlib and OpenCV (cv2) libraries to process faces in images, automatically detect facial features, and draw feature points and Bezier curves on the face. Additionally, the program can apply features from one cheek area to the other.

Features

• Automatically detect faces in images.
• Draw 68 feature points on detected faces.
• Draw Bezier curves on specified cheek areas.
• Apply features from one cheek to the other.

Installation Requirements

• python3.8
• opencv-python==4.8.1.78
• cmake==3.27.7
• wheel
• boost==0.1
• dlib==19.24.2
• imutils==0.5.4

File Structure

• shape_predictor_68_face_landmarks.dat: dlib facial feature predictor file.
• res/: Directory for storing original images.
• res/result/: Directory for storing processed images.

Usage Instructions

1. Ensure all dependencies are installed, and the shape_predictor_68_face_landmarks.dat file is in the project root directory.
2. Place the images to be processed in the res/ directory.
3. Run the main() function. You can modify the file_name variable to specify the image file to be processed (excluding the file extension).
4. The processed images will be saved in the res/result/ directory.

Error Handling

• If the shape_predictor_68_face_landmarks.dat file does not exist or the image files in the res/ directory are missing, the program will throw an error.
• If no faces are detected in the image, the program will also report an error.