def __init__(self, save_logs_):
self._cap = scorer.VideoCapture(0)
self._detected = np.array([])
self.bgr = None
self.time = None
self._thumbnail = np.zeros(3)
self._bgsub = None
self._fgmask = np.zeros(3)
self._save_logs = save_logs_
try:
self._cascade = cv2.CascadeClassifier(CASCADE_PATH)
except:
print('Face cascade is not found')
if not os.path.isdir(LOG_PATH):
os.makedirs(LOG_PATH)
if self._save_logs:
self._logger = logging.getLogger('detect_log')
self._logger.setLevel(10)
log = logging.FileHandler(LOG_PATH + 'detect.log')
self._logger.addHandler(log)
stream = logging.StreamHandler()
self._logger.addHandler(stream)
def __init__(self):
self.cap = scorer.VideoCapture(0)
self.hog = cv2.HOGDescriptor()
self.hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())
args = sys.argv
# GPIO Set UP
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BCM)
GPIO.setup(24, GPIO.OUT)
GPIO.setup(23, GPIO.OUT)
pin_list = (24, 23)
# Get ROI Information
roi = scorer_util.ROIStorage(
os.path.dirname(__file__) + "/raspi_magazine.json")
x1, y1, x2, y2 = roi.get_roi_rect_by_index(0)
# Get Camera Object
cap = scorer.VideoCapture(0)
if len(args) > 1:
# Get Image Frame
frame = cap.read()
if frame == None:
sys.exit()
# Get BGR data(CvMati format)
bgr = frame.get_bgr()
# Trim the BGR Image
rect = bgr[y1:y2, x1:x2]
if args[1] == "on":
# Save the Image