-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathfaceDetectionModule.py
More file actions
67 lines (54 loc) · 2.22 KB
/
faceDetectionModule.py
File metadata and controls
67 lines (54 loc) · 2.22 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
import cv2
import mediapipe as mp
import time
class FaceDetector():
def __init__(self, minDetectionCon=0.5):
self.mpFaceDetection=minDetectionCon
self.mpFaceDetection =mp.solutions.face_detection
self.mpDraw=mp.solutions.drawing_utils
self.faceDetection=self.mpFaceDetection.FaceDetection(minDetectionCon,1)
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])
self.fancyDraw(img,bbox)
cv2.putText(img,f'{int(detection.score[0]*100)}%',
(bbox[0],bbox[1]-20),cv2.FONT_HERSHEY_PLAIN,3,(255,255,255),2)
return img,bboxs
def fancyDraw(self,img,bbox,l=10,t=5,rt=1):
x,y,w,h=bbox
x1,y1=x+w,y+h
cv2.rectangle(img, (x, y), (x1, y1), (255, 0, 255), rt)
cv2.line(img, (x, y), (x + l, y), (255, 0, 255), t)
cv2.line(img, (x, y), (x, y + l), (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 - l), (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)
cTime=0
pTime=0
detector=FaceDetector()
while True:
success, img =cap.read()
img, bbox =detector.findFaces(img)
cTime = time.time()
fps = 1/(cTime-pTime)
pTime=cTime
cv2.putText(img,f'FPS:{(int(fps))}',(0,35),cv2.FONT_HERSHEY_PLAIN,3,(0,255,0),2)
cv2.imshow("Image",img)
cv2.waitKey(1)
if __name__=="__main__":
main()