Page 571 - MDP2020-1

················································································ 명장양성프로젝트 【MDP】 과제발표회 자료집 Ⅰ | 565

# Define min window size to be recognized as a face
minW = 0.1*cam.get(3)
minH = 0.1*cam.get(4)

while True:
while g.input(arm):
ret, img =cam.read()

gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

faces = faceCascade.detectMultiScale(
gray,
scaleFactor = 1.2,
minNeighbors = 10,

minSize = (int(minW), int(minH)),
)

for(x,y,w,h) in faces:

cv2.rectangle(img, (x,y), (x+w,y+h), (0,255,0), 2)
id, confidence = recognizer.predict(gray[y:y+h,x:x+w])

if (confidence < 55):
id = names[id]
confidence = " {0}%".format(round(100 - confidence))

g.output(buzzer,g.LOW)
g.output(out,g.HIGH)
time.sleep(0.1)
g.output(out,g.LOW)

else:
id = "unknown"
confidence = " {0}%".format(round(100 - confidence))
g.output(out,g.LOW)
g.output(buzzer,g.HIGH)

time.sleep(0.1)
g.output(buzzer,g.LOW)

cv2.putText(img, str(id), (x+5,y-5), font, 1, (255,255,255), 2)
cv2.putText(img, str(confidence), (x+5,y+h-5), font, 1, (255,255,0), 1)

cv2.imshow('camera',img)