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faceDetectionBasics.py
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import cv2
import mediapipe as mp
import time
cap = cv2.VideoCapture("videos/10.mp4")
pTime = 0
mpFaceDetection = mp.solutions.face_detection
mpDraw = mp.solutions.drawing_utils
faceDetection = mpFaceDetection.FaceDetection(0.75)
while True:
success, img = cap.read()
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
results = faceDetection.process(imgRGB)
# print(results)
if results.detections:
for id, detection in enumerate(results.detections):
# mpDraw.draw_detection(img, detection)
# print(id, detection)
# print(detection.score)
# print(detection.location_data.relative_bounding_box)
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)
cv2.rectangle(img, bbox, (255, 0, 255), 2)
cv2.putText(img, f'{int(detection.score[0] * 100)}%', (bbox[0], bbox[1] - 20), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 255), 2)
cTime = time.time()
fps = 1/(cTime-pTime)
pTime = cTime
cv2.putText(img, f'FPS: {int(fps)}', (20,70), cv2.FONT_HERSHEY_PLAIN, 3, (0,255,0), 2)
cv2.imshow("Image", img)
cv2.waitKey(20)