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(self.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:
                    img = self.fancyDraw(img, bbox)

                    cv2.putText(img, f'{int(detection.score[0] * 100)}%',
                                (bbox[0], bbox[1] - 20), cv2.FONT_HERSHEY_PLAIN,
                                2, (189, 89, 97), 2)
        return img, bboxs

    def fancyDraw(self, img, bbox, l=30, t=8, rt=2):
        x, y, w, h = bbox
        x1, y1 = x + w, y + h

        cv2.rectangle(img, bbox, (189, 89, 97), rt)
        # Top Left 
        cv2.line(img, (x, y), (x + l, y), (189, 89, 97), t)
        cv2.line(img, (x, y), (x, y+l), (189, 89, 97), t)
        # Top Right  
        cv2.line(img, (x1, y), (x1 - l, y), (189, 89, 97), t)
        cv2.line(img, (x1, y), (x1, y+l), (189, 89, 97), t)
        # Bottom Left  
        cv2.line(img, (x, y1), (x + l, y1), (189, 89, 97), t)
        cv2.line(img, (x, y1), (x, y1 - l), (189, 89, 97), t)
        # Bottom Right  
        cv2.line(img, (x1, y1), (x1 - l, y1), (189, 89, 97), t)
        cv2.line(img, (x1, y1), (x1, y1 - l), (189, 89, 97), t)
        return img


def main():
    cap = cv2.VideoCapture(0)
    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)}", (10, 50),
                    cv2.FONT_HERSHEY_PLAIN, 3, (150, 255, 75), 3)

        cv2.imshow("Image", img)
        if cv2.waitKey(1) == ord('q'):
            break

    cap.release()
    cv2.destroyAllWindows()


if __name__ == "__main__":
    main()

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(self.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:
                    img = self.fancyDraw(img, bbox)

                    cv2.putText(img, f'{int(detection.score[0] * 100)}%',
                                (bbox[0], bbox[1] - 20), cv2.FONT_HERSHEY_PLAIN,
                                2, (189, 89, 97), 2)
        return img, bboxs

    def fancyDraw(self, img, bbox, l=30, t=8, rt=2):
        x, y, w, h = bbox
        x1, y1 = x + w, y + h

        cv2.rectangle(img, bbox, (189, 89, 97), rt)
        # Top Left 
        cv2.line(img, (x, y), (x + l, y), (189, 89, 97), t)
        cv2.line(img, (x, y), (x, y+l), (189, 89, 97), t)
        # Top Right  
        cv2.line(img, (x1, y), (x1 - l, y), (189, 89, 97), t)
        cv2.line(img, (x1, y), (x1, y+l), (189, 89, 97), t)
        # Bottom Left  
        cv2.line(img, (x, y1), (x + l, y1), (189, 89, 97), t)
        cv2.line(img, (x, y1), (x, y1 - l), (189, 89, 97), t)
        # Bottom Right  
        cv2.line(img, (x1, y1), (x1 - l, y1), (189, 89, 97), t)
        cv2.line(img, (x1, y1), (x1, y1 - l), (189, 89, 97), t)
        return img


def main():
    cap = cv2.VideoCapture(0)
    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)}", (10, 50),
                    cv2.FONT_HERSHEY_PLAIN, 3, (150, 255, 75), 3)

        cv2.imshow("Image", img)
        if cv2.waitKey(1) == ord('q'):
            break

    cap.release()
    cv2.destroyAllWindows()


if __name__ == "__main__":
    main()

# print(self.results) # Top Left # Top Right # Bottom Left # Bottom Right