FaceMeshModule.py

import cv2
import time
import mediapipe as mp

class FaceMeshDetector():

    def __init__(self, staticMode=False, maxFaces=2, refineLms=False, minDetectionCon = 0.5, minTrackCon=0.5):

        self.staticMode = staticMode
        self.maxFaces = maxFaces
        self.refineLms = refineLms
        self.minDetectionCon = minDetectionCon
        self.minTrackCon = minTrackCon


        # points of the face
        self.mpDraw = mp.solutions.drawing_utils
        self.mpFaceMesh = mp.solutions.face_mesh
        self.faceMesh = self.mpFaceMesh.FaceMesh(self.staticMode, self.maxFaces,
                                                 self.refineLms, self.minDetectionCon, self.minTrackCon)

        # to change the size of points and lines, then we need to write the specifications on mpDraw
        self.drawSpec = self.mpDraw.DrawingSpec(thickness=1, circle_radius=1, color=[255, 0, 0])

    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 = []
                # get all the points, landmarks
                for id, lm in enumerate(faceLms.landmark):
                    #print(lm)
                    ih, iw, ic = img.shape
                    x, y = int(lm.x*iw), int(lm.y*ih)
                    #cv2.putText(img, str(id), (x, y), cv2.FONT_HERSHEY_PLAIN, 0.4, (255,0, 0), 1)
                    # print(id, x, y)
                    face.append([x, y])
                faces.append(face)
        return img, faces

def main():
    cap = cv2.VideoCapture('Videos/1.mp4')
    pTime = 0

    # object
    detector = FaceMeshDetector()

    while True:
        success, img = cap.read()
        img, faces = detector.findFaceMesh(img)
        if len(faces) != 0:
            print(len(faces))

        cTime = time.time()
        fps = 1/(cTime - pTime)
        pTime = cTime
        cv2.putText(img, f'FPS: {int(fps)}', (20,70), cv2.FONT_HERSHEY_PLAIN,3, (255,0,0), 3)

        cv2.imshow('Image', img)
        cv2.waitKey(10)


if __name__ == '__main__':
    main()