face_mesh_module.py

import cv2
import mediapipe as mp
import time

class FaceMeshDetector():
    def __init__(self, staticMode = False, maxFaces = 18, minDetectionCon = 0.5, minTrackCon = 0.5):
        self.staticMode = staticMode
        self.maxFaces = maxFaces
        self.minDetectionCon = minDetectionCon
        self.minTrackCon = minTrackCon

        self.mpDraw = mp.solutions.drawing_utils
        self.mpFaceMesh = mp.solutions.face_mesh
        self.FaceMesh = self.mpFaceMesh.FaceMesh(self.staticMode, self.maxFaces, True, self.minDetectionCon, self.minTrackCon)
        self.drawSpec = self.mpDraw.DrawingSpec(thickness=1, circle_radius=1)

    def findFaceMesh(self, img, draw = True):
        self.imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.results = self.FaceMesh.process(self.imgRGB)
        faces = []
        if self.results.multi_face_landmarks:
            for faceLms in self.results.multi_face_landmarks:
                if draw:
                    self.mpDraw.draw_landmarks(img, faceLms, self.mpFaceMesh.FACEMESH_CONTOURS , self.drawSpec, self.drawSpec)
                face = []
                for id,lm in enumerate(faceLms.landmark):
                    # print(lm)
                    ih, iw, ic = img.shape
                    x,y = int(lm.x*iw), int(lm.y*ih)
                    # print(id, x, y)
                    face.append([x,y])
                faces.append(face)
        return img, faces
    
def main():
    # cap = cv2.VideoCapture("./Face mesh/Videos/2.mp4")
    cap = cv2.VideoCapture(0)
    pTime = 0
    detector = FaceMeshDetector()

    while True:
        success, img = cap.read()
        img, faces = detector.findFaceMesh(img)
        # if len(faces)!= 0 :
            # print(faces[0]) 
        cTime = time.time()
        fps = 1/(cTime - pTime)
        pTime = cTime
        cv2.putText(img, f'FPS: {int(fps)}', (20, 70), cv2.FONT_HERSHEY_DUPLEX, 3, (123,231,12), 3)
        cv2.imshow("Image", img)
        cv2.waitKey(1)



if __name__ == "__main__":
    main()