faceDetectionModule.py

import cv2
import mediapipe as mp
import time

video = "your local video address"

class FaceMeshDetector():
    def __init__(self, staticMode = False, maxFaces = 2, 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,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.FACE_CONNECTIONS, self.drawSpec, self.drawSpec)
                face = []
                for lm in faceLms.landmark:
                    ih, iw, ic = img.shape
                    x, y = int(lm.x*iw), int(lm.y*ih)
                    face.append([x,y])
                faces.append(face)
                
        return img, faces
    

def main():

    cap = cv2.VideoCapture(video)

    pTime = 0

    detector = FaceMeshDetector()
    while True:
        success, img = cap.read() 

        img, faces = detector.findFaceMesh(img)
        if len(faces) != 0:
            print(f"{len(faces)} face in the screen")

        cTime = time.time()
        if  cTime-pTime != 0:
            fps = 1 / (cTime-pTime)
        pTime = cTime
        cv2.putText(img, f"Fps: {int(fps)}", (20,70), cv2.FONT_HERSHEY_PLAIN, 3, (0,255,0), 2)

        cv2.imshow("Image", img)
        cv2.waitKey(1)



if __name__ == "__main__":
    main()