faceDetectionModule.py

import cv2
import mediapipe as mp
import time

class FaceDetector():

    def __init__(self, minDetectionCon=0.5):
        self.minDetectionCon = minDetectionCon

        self.mpFaceDetection = mp.solutions.face_detection
        self.mpDraw = mp.solutions.drawing_utils
        self.faceDetection = self.mpFaceDetection.FaceDetection(self.minDetectionCon)


    def findFaces(self, img, draw=True):
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) 
        self.results = self.faceDetection.process(imgRGB)
        # print(results)
        bboxs = []
        if self.results.detections:
            for id, detection in enumerate(self.results.detections):
                bboxC = detection.location_data.relative_bounding_box
                ih, iw, ic = img.shape
                bbox = int(bboxC.xmin * iw), int(bboxC.ymin * ih), int(bboxC.width * iw), int(bboxC.height * ih)
                bboxs.append([id, bbox, detection.score])
                if draw:
                    self.fancyDraw(img, bbox)
                    cv2.putText(img, f'{int(detection.score[0] * 100)}%', (bbox[0], bbox[1] - 20), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 255), 2)

        return img, bboxs
    

    def fancyDraw(self, img, bbox, l=30, t=5, rt=1):
        """
        This function draws a fancy bounding box around the detected face.
        t = thickness
        rt = rectangle thickness
        l = length
        bbox = bounding box
        img = image/video frame
        """
        x, y, w, h = bbox
        x1, y1 = x + w, y + h

        cv2.rectangle(img, bbox, (255, 0, 255), rt)

        # Top Left  x,y
        cv2.line(img, (x,y), (x+l, y), (255, 0, 255), t)
        cv2.line(img, (x,y), (x, y+l), (255, 0, 255), t)

        # Top Right  x1,y
        cv2.line(img, (x1,y), (x1-l, y), (255, 0, 255), t)
        cv2.line(img, (x1,y), (x1, y+l), (255, 0, 255), t)

        # Bottom Left  x,y1
        cv2.line(img, (x,y1), (x+l, y1), (255, 0, 255), t)
        cv2.line(img, (x,y1), (x, y1-l), (255, 0, 255), t)

        # Bottom Right  x1,y1
        cv2.line(img, (x1,y1), (x1-l, y1), (255, 0, 255), t)
        cv2.line(img, (x1,y1), (x1, y1-l), (255, 0, 255), t)

        return img

    

def main():
    cap = cv2.VideoCapture("videos/10.mp4")
    pTime = 0
    detector = FaceDetector()

    while True:
        success, img = cap.read()
        img, bboxs = detector.findFaces(img)
        print(bboxs)
        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), 2)

        cv2.imshow("Image", img)
        cv2.waitKey(20)
if __name__ == "__main__":
    main()