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03_face_detection_module.py
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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(minDetectionCon)
def findFaces(self,img,draw=True):
imgRGB=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
self.results=self.faceDetection.process(imgRGB)
bboxs=[]
if self.results.detections:
for id,detection in enumerate(self.results.detections):
#mpDraw.draw_detection(img,detection)
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,3,(0,255,0),2)
return img, bboxs
def fancyDraw(self,img,bbox,l=30,t=5,rt=1):
x,y,w,h=bbox
x1,y1=x+w,y+h
cv2.rectangle(img,bbox,(255,0,255),rt)
cv2.line(img,(x,y),(x+l,y),(255,0,255),t)
cv2.line(img,(x,y),(x,y+1),(255,0,255),t)
cv2.line(img,(x1,y),(x1-l,y),(255,0,255),t)
cv2.line(img,(x1,y),(x1,y+l),(255,0,255),t)
cv2.line(img,(x,y1),(x+l,y1),(255,0,255),t)
cv2.line(img,(x,y1),(x,y1-1),(255,0,255),t)
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(0,cv2.CAP_DSHOW)
pTime = 0
detector=faceDetector()
while True:
success,img = cap.read()
img,bboxs=detector.findFaces(img)
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)
if __name__ == '__main__':
main()