def __init__(self, webconf):
self.webconf = webconf
self._picam = PiCam()
config = ConfigParser.ConfigParser()
config.readfp(open('/etc/raspadmin/picam.conf'))
self._servoX = config.get("PICAM", "useServoXaxis")
if self._servoX == "1":
self._useGPIOPower = config.get("PICAM", "useGpioPowerSwitch")
self._servoPwNum = int(config.get("PICAM",
"servoControlPinNumber"))
self._maxServoPulse = int(config.get("PICAM", "maxServoPulse"))
self._minServoPulse = int(config.get("PICAM", "minServoPulse"))
self._defaultServoPulse = int(
config.get("PICAM", "defaultServoPulse"))
self._stepServoPulse = int(config.get("PICAM", "stepServoPulse"))
self._servo = ServoManager(self._servoPwNum, self._minServoPulse,
self._maxServoPulse,
self._defaultServoPulse,
self._stepServoPulse)
if self._useGPIOPower == "1":
self._switchGPIONum = int(
config.get("PICAM", "switchPinNumber"))
self._servo.setSwitchMode(self._switchGPIONum)
self._servo.start()
face_image = np.array((FACE_WIDTH, FACE_WIDTH,3), dtype=int)
def detect_face(frame):
global face_image
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# 이미지에서 얼굴을 검출합니다.
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
# 얼굴이 검출되었다면 얼굴 위치에 대한 좌표 정보를 리턴받습니다.
for (x,y,w,h) in faces:
# 원본 이미지에 얼굴의 위치를 표시
# cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
minLength = min(w, h)
if minLength < 150: break
width = max(w, h)
# 얼굴 부분 검출
# face_image = frame[y:y+h, x:x+w].copy()
x = x + w//2 - width//2
y = y + h//2 - width//2
face_image = frame[y:y+width, x:x+width].copy()
cv2.rectangle(frame,(x,y),(x+width,y+width),(255,0,0),2)
face_image = cv2.resize(face_image,dsize=(FACE_WIDTH, FACE_WIDTH),interpolation=cv2.INTER_AREA)
frame[0:FACE_WIDTH, 0:FACE_WIDTH] = face_image[:] # 좌측 상단에 출력
return True
c = PiCam(show=True)
c.run(detect_face)
# import the necessary packages
from picam import PiCam
from time import sleep
import numpy as np
import cv2 as cv
res = (320, 240)
fps = 24
# initialize the camera
#camera = PiCam(res, fps, brightness=55, contrast=10)
#camera = PiCam(res, fps, awb_mode='shade')
camera = PiCam(res, fps, exposure_mode='night')
print('= eff =')
camera.effects()
print('= awb =')
camera.awbModes()
print('= exp =')
camera.exposureModes()
camera.videoCapture()
# allow the camera to warmup
sleep(2.0)
# capture frames from the camera
while True:
frame = camera.current_frame
cv.imshow('grid', frame) # show grid
