gesture_hci.py 文件源码

def __init__(self, video_src):
        self.cam = cv2.VideoCapture(video_src)
        ret, self.frame = self.cam.read()
        cv2.namedWindow('gesture_hci')

        # set channel range of skin detection 
        self.mask_lower_yrb = np.array([44, 131, 80])       # [54, 131, 110]
        self.mask_upper_yrb = np.array([163, 157, 155])     # [163, 157, 135]
        # create trackbar for skin calibration
        self.calib_switch = False

        # create background subtractor 
        self.fgbg = cv2.BackgroundSubtractorMOG2(history=120, varThreshold=50, bShadowDetection=True)

        # define dynamic ROI area
        self.ROIx, self.ROIy = 200, 200
        self.track_switch = False
        # record previous positions of the centroid of ROI
        self.preCX = None
        self.preCY = None

        # A queue to record last couple gesture command
        self.last_cmds = FixedQueue()

        # prepare some data for detecting single-finger gesture  
        self.fin1 = cv2.imread('./test_data/index1.jpg')
        self.fin2 = cv2.imread('./test_data/index2.jpg')
        self.fin3 = cv2.imread('./test_data/index3.jpg')

        # switch to turn on mouse input control
        self.cmd_switch = False

        # count loop (frame), for debugging
        self.n_frame = 0


# On-line Calibration for skin detection (bug, not stable)