ADVANCE-face-detect.py

import cv2
import mediapipe as mp
import time

cap = cv2.VideoCapture(0)
pTime = 0
mpFacedtect = mp.solutions.face_detection
mpDraw = mp.solutions.drawing_utils
facetect = mpFacedtect.FaceDetection()
while True:
    success, img = cap.read()
    imdRgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = facetect.process(imdRgb)

    if results.detections:
        for id, detection in enumerate(results.detections):
            mpDraw.draw_detection(img, detection)
            boundBoxClass = detection.location_data.relative_bounding_box
            imgHeight, imgWidth, imgChannels = img.shape
            boundBox = int(boundBoxClass.xmin * imgWidth), int(boundBoxClass.ymin * imgHeight), \
                       int(boundBoxClass.width * imgWidth), int(boundBoxClass.height * imgHeight)

            cv2.rectangle(img, boundBox, (255, 0, 255), 3)

            cv2.putText(img, f"{int(detection.score[0] * 100)}%", (boundBox[0], boundBox[1] - 20),
                        cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2)

    cTime = time.time()

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

    cv2.imshow('VID', img)
    cv2.waitKey(21)