FaceMeshModule.py

import cv2
import mediapipe as mp
import time


class FaceMeshDetector:
 def __init__(self, static_image_mode=True, max_num_faces=1,
 refine_landmarks=True, min_detection_confidence=0.5):
 self.static_image_mode = static_image_mode
 self.max_num_faces = max_num_faces
 self.refine_landmarks = refine_landmarks
 self.min_detection_confidence = min_detection_confidence

 self.mpDraw = mp.solutions.drawing_utils
 self.mpFaceMesh = mp.solutions.face_mesh
 self.faceMesh = self.mpFaceMesh.FaceMesh(
 static_image_mode=self.static_image_mode,
 max_num_faces=self.max_num_faces,
 refine_landmarks=self.refine_landmarks,
 min_detection_confidence=self.min_detection_confidence
 )
 self.drawSpec = self.mpDraw.DrawingSpec(thickness=1, circle_radius=2)

 def findFaceMesh(self, img, draw=True):
 imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
 results = self.faceMesh.process(imgRGB)
 faces = []
 if results.multi_face_landmarks:
 for faceLms in 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):
 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("D:/Codes/ComputerVision/Poses/muslimface.mp4")
 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_PLAIN,
 3, (0, 255, 0), 3
 )
 cv2.imshow("Image", img)
 cv2.waitKey(1)


if __name__ == "__main__":
 main()