hand_detection.py

def normalise_landmarks(landmark_list):
    if len(landmark_list) == 0:
        return landmark_list
    
    x = [lm[0] for lm in landmark_list]
    y = [lm[1] for lm in landmark_list]

    min_x = min(x)
    max_x = max(x)
    min_y = min(y)
    max_y = max(y)
    
    normalised_landmarks = []
    for lm in landmark_list:
        x_norm = (lm[0] - min_x) / (max_x - min_x)
        y_norm = (lm[1] - min_y) / (max_y - min_y)
        lm_norm = (x_norm, y_norm)
        
        normalised_landmarks.append(lm_norm)
    
    return normalised_landmarks