import cv2
import mediapipe as mp
import time

cap = cv2.VideoCapture('VIDEO/1.mp4')
pTime = 0

mpDraw = mp.solutions.drawing_utils
mpFaceMesh = mp.solutions.face_mesh
faMesh = mpFaceMesh.FaceMesh(max_num_faces=10)
drawSpec = mpDraw.DrawingSpec(thickness=1,circle_radius=2)


while True:
    success, img = cap.read()
    img = cv2.resize(img, (0, 0), fx=0.5, fy=0.5)
    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = faMesh.process(imgRGB)
    if results.multi_face_landmarks:
        for faceLms in results.multi_face_landmarks:
            mpDraw.draw_landmarks(img, faceLms, mpFaceMesh.FACEMESH_CONTOURS, drawSpec, drawSpec)
            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)


    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), 7)
    cv2.imshow('Image', img)
    cv2.waitKey(1)

import cv2
import mediapipe as mp
import time

class FaceMeshDetector():
    def __init__(self, staticMode=False, maxFaces=10, 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, False, self.minDetectionCon, self.minTrackCon)
        self.drawSpec = self.mpDraw.DrawingSpec(thickness=1,circle_radius=2)

    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)
                    cv2.putText(img, str(id), (x, y), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1)
                    # print(id, x,y)
                    face.append([x, y])
                faces.append(face)
        return img, faces

def main():
    cap = cv2.VideoCapture('VIDEO/2.mp4')
    pTime = 0
    detector = FaceMeshDetector(maxFaces=2)
    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), 7)
        cv2.imshow('Image', img)
    cv2.waitKey(1)

if __name__ == "__main__":
    main()