def take_registration_photo(userId): # takes and saves ONE of a user's registration photos
# see line 50 onwards
rawCapture = PiRGBArray(CAMERA)
time.sleep(0.1)
CAMERA.capture(rawCapture, format="bgr")
image = rawCapture.array()
grayImage = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
faces = FACE_CASCADE.detectMultiScale(grayImage, 1.4) # gets the faces for this image
# If face is detected, save that specific face
for (x, y, w, h) in faces:
croppedImage = grayImage[y: y + h, x: x + w] # crops it to be only the face
tools.save_new_image(userId, croppedImage)
print("_______________________________________________CV Test________________________________________________")
test.live_Detection(0, True)
print("_______________________________________________rpi Test________________________________________________")
test.rpi_live_Detection(True)
from picamera.array import PiRGBArray
from picamera import PiCamera
camera = PiCamera()
rawCapture = PiRGBArray(camera)
camera.resolution = resolution
print("______________________________________________RPI Displess test________________________________________________")
time_rpi = timer(True)
for i in range(250):
camera.capture(rawCapture, "rgb")
test.run_Detection(rawCapture.array())
time_rpi.toc()
camera.close()
print(time_rpi.average)
print("_______________________________________________CV Displess test________________________________________________")
time_cv = timer(True)
cam = cv2.VideoCapture(0)
for i in range(250):
_, cap = cam.read()
test.run_Detection(cap)
time_cv.toc()
cap.release()
print(time_cv.average)
