#Facial-feature-detection-and-anomaly-spotting

This project aimed to perform facial landmark analysis using keypoint detection techniques to compute facial angles and structural ratios.This project aimed to perform facial landmark analysis using keypoint detection techniques to compute facial angles and structural ratios. Results support use cases in medical screening, aesthetic planning, and anomaly recognition.

Dependencies

1. OpenCV
2. Face Alignment

Usage

1. Make sure you have the required libraries installed (e.g., OpenCV and face_alignment).

2. Provide an input image path by modifying the following line in the code:

   frame = cv2.imread('Test_images/image-1.jpeg')

Results

The code provides measurements and ratios related to facial landmarks and angles. These results can be used for various applications and analysis of facial structures.