python类namedWindow()的实例源码

def getFrameFromCamera():
    name_window = 'camera window'
    cv2.namedWindow(name_window)
    cap = cv2.VideoCapture(0)
    ret, frame_from = cap.read()
    output = []
    while(cap.isOpened()):
        ret, frame = cap.read()
        frame  = cv2.flip(frame, -1)
        if ret==True:
            cv2.imshow(name_window,frame)
            cur_key = cv2.waitKey(1) 
            if cur_key == 27:
                break
            if cur_key == ord('s'):
                output = frame
                break
        else:
            break
    # Release everything if job is finished
    cap.release()
    #out.release()
    cv2.destroyAllWindows()
    return output

def run_main():
    # First initialize the camera capture object with the cv2.VideoCapture class.
    camera = cv2.VideoCapture(camera_port)

    #To create a new window for display
    #Disabled it for now as we can't see the image on the cap
    #cv2.namedWindow(display, cv2.WINDOW_NORMAL)    

    # Discard the first few frame to adjust the camera light levels
    for i in xrange(ramp_frames):
        temp = get_image(camera)

    #Now take the image and save it after every 1 second
    while(1):
        try:
            time.sleep(1)
            take_save_image(camera)
        except Exception, e:
            print "Exception occured \n"
            print e
            pass

def load_images(queue: PriorityQueue,
                source: int,
                file_path: str,
                target_width: int,
                target_height: int,
                display_progress: bool=False):
    window = 'image'
    if display_progress:
        cv2.namedWindow(window)

    for file in iglob(path.join(file_path, '**', '*.jpg'), recursive=True):
        buffer = cv2.imread(file)
        buffer = cv2.resize(buffer, (target_width, target_height), interpolation=cv2.INTER_AREA)

        random_priority = random()
        queue.put((random_priority, (buffer, source)))

        if display_progress:
            cv2.imshow(window, buffer)
            if (cv2.waitKey(33) & 0xff) == 27:
                break

    if display_progress:
        cv2.destroyWindow(window)

def setupWindow():
    filename = getUserSelectedImage()
    imageProcessor = ImageProcessor(cv2.imread(filename,0))
    colourImage = cv2.imread(filename,1)
    image = imageProcessor.getThresholdedImage(False)
    granularity = imageProcessor.get_granularity(image, 100)
    print("Granularity: {0}".format(granularity))
    start_x,start_y,end_x,end_y = get_start_points(image)
    image = imageProcessor.encloseMaze(image)
    mazerunner = MazeSolver.MazeSolver(image,granularity)
    solution = mazerunner.solveMaze(start_x,start_y,end_x,end_y)
    if(not solution):
        cv2.imshow(MAZE_NAME,image)
    else:
        solvedImage = draw_solution(solution, colourImage)
        solvedImage = imageProcessor.mark_point((end_x,end_y),3,(255,0,0),solvedImage)
        solvedImage = imageProcessor.mark_point((start_x,start_y),3,(255,0,0),solvedImage)
        window = cv2.namedWindow("Solved Image", cv2.WINDOW_NORMAL)
        cv2.resizeWindow("Solved Image", 900,900)
        cv2.moveWindow("Solved Image",100,100)
        cv2.imshow("Solved Image",solvedImage)
    print "Press any key to exit"
    cv2.waitKey(0)
    cv2.destroyAllWindows

def __init__(self):
        self.norm_rgb=np.zeros((600,800,3),np.uint8)
        self.dst=np.zeros((600,800),np.uint8)
        self.b=0
        self.g=0
        self.r=0

        self.lb=0
        self.lg=0
        self.lr=0

        self.m=np.zeros((600,800),np.uint8)
        #self.win=cv2.namedWindow("detect")
        #self.dst=cv.CreateImage((800,600),8,1)

        #cv2.createTrackbar("blue", "detect",0,255,self.change_b)
        #cv2.createTrackbar("green","detect",0,255,self.change_g)
        #cv2.createTrackbar("red","detect",0,255,self.change_r)

        #cv2.createTrackbar("low_blue", "detect",0,255,self.change_lb)
        #cv2.createTrackbar("low_green","detect",0,255,self.change_lg)
        #cv2.createTrackbar("low_red","detect",0,255,self.change_lr)

def __init__(self):
        global color
        self.rgb=np.zeros((600,800,3),np.uint8)
        self.mask=np.zeros((600,800),np.uint8)
        self.hue_val=color
        self.scratch=np.zeros((600,800,3),np.uint8)

        #cv2.namedWindow("hue")
        #cv2.createTrackbar("hue", "hue",self.hue_val,255,self.change)

def __init__(self, name):
        self.frame_name = name
        cv2.namedWindow(name)

def trackbar_create(label, win_name, v, maxv, scale=1.0): 
    global trackbars
    if label in trackbars:     
        raise RuntimeError('Duplicate key. %s already created' % label)
    trackbars[label] = dict(label=label, win_name=win_name, value=v, scale=scale)

    cv2.namedWindow(win_name)
    cv2.createTrackbar(label, win_name, v, maxv, trackbar_update)

def mouse_event_create(win_name, cb): 
    cv2.namedWindow(win_name)
    cv2.setMouseCallback(win_name, cb)

def __init__(self, image, filter_size=1, threshold1=0, threshold2=0):
        self.image = image
        self._filter_size = filter_size
        self._threshold1 = threshold1
        self._threshold2 = threshold2

        def onchangeThreshold1(pos):
            self._threshold1 = pos
            self._render()

        def onchangeThreshold2(pos):
            self._threshold2 = pos
            self._render()

        def onchangeFilterSize(pos):
            self._filter_size = pos
            self._filter_size += (self._filter_size + 1) % 2
            self._render()

        cv2.namedWindow('edges')

        cv2.createTrackbar('threshold1', 'edges', self._threshold1, 255, onchangeThreshold1)
        cv2.createTrackbar('threshold2', 'edges', self._threshold2, 255, onchangeThreshold2)
        cv2.createTrackbar('filter_size', 'edges', self._filter_size, 20, onchangeFilterSize)

        self._render()

        print "Adjust the parameters as desired.  Hit any key to close."

        cv2.waitKey(0)

        cv2.destroyWindow('edges')
        cv2.destroyWindow('smoothed')

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)

def display(win_name, img):
    cv2.namedWindow(win_name, cv2.WINDOW_NORMAL)
    cv2.imshow( win_name,  numpy.asarray( img[:,:] ))
    k=-1
    while k ==-1:
        k=waitkey()
    cv2.destroyWindow(win_name)
    if k in [27, ord('q')]:
        rospy.signal_shutdown('Quit')

def __init__(self, topic):
        self.topic = topic
        self.windowNameOrig = "Camera: {0}".format(self.topic)
        cv2.namedWindow(self.windowNameOrig, 2)
        self.bridge = CvBridge()
        self.image_sub = rospy.Subscriber(self.topic, Image, self.callback)

def cvShowImageColor(image_file):
    image_bgr = cv2.imread(image_file)
    cv2.namedWindow('image', cv2.WINDOW_NORMAL)
    cv2.imshow('image', image_bgr)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

# OpenCV???????????????

def cvShowImageGray(image_file):
    image_gray = cv2.imread(image_file, 0)
    cv2.namedWindow('image', cv2.WINDOW_NORMAL)
    cv2.imshow('image', image_gray)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

# Matplot??????????

def drawingDemo():
    img = emptyImage()

    # ??2?????
    drawLine(img, (10, 10), (200, 200), (0, 0, 255), 2)

    # ???-1???????????????
    drawCircle(img, (300, 100), 80, (0, 255, 0), -1)

    # ????????
    drawRectangle(img, (10, 210), (210, 350), (100, 100, 0), -1)
    drawRectangle(img, (10, 210), (210, 350), (255, 0, 0), 3)

    # ?????
    drawElipse(img, (450, 100), (30, 80), 0, 0, 360, (0, 100, 100), -1)

    # ???????
    pts = np.array([[(250, 240), (270, 280), (350, 320), (500, 300), (450, 230), (350, 210)]], dtype=np.int32)
    drawPolylines(img, pts, True, (255, 100, 100), 5)

    # ???????
    drawText(img, 'OpenCV', (20, 450), font_types[0], 4, (200, 200, 200), 2)

    cv2.namedWindow('DrawingDemo', cv2.WINDOW_AUTOSIZE)
    cv2.imshow('DrawingDemo', img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

def run(self):
        print ("VEDIO server starts...")
        while True:
            try:
                self.sock.connect(self.ADDR)
                break
            except:
                time.sleep(3)
                continue
        print ("video server <-> remote server success connected...")
        check = "F"
        check = self.sock.recv(1)
        if check.decode("utf-8") != "S":
            return
        data = "".encode("utf-8")
        payload_size = struct.calcsize("L")
        cv2.namedWindow('Remote', cv2.WINDOW_NORMAL)
        while True:
            while len(data) < payload_size:
                data += self.sock.recv(81920)
            packed_size = data[:payload_size]
            data = data[payload_size:]
            msg_size = struct.unpack("L", packed_size)[0]
            while len(data) < msg_size:
                data += self.sock.recv(81920)
            zframe_data = data[:msg_size]
            data = data[msg_size:]
            frame_data = zlib.decompress(zframe_data)
            frame = pickle.loads(frame_data)
            try:
                cv2.imshow('Remote', frame)
            except:
                pass
            if cv2.waitKey(1) & 0xFF == 27:
                break

def run(self):
        print ("VEDIO client starts...")
        while True:
            try:
                self.sock.connect(self.ADDR)
                break
            except:
                time.sleep(3)
                continue
        print ("video client <-> remote server success connected...")
        check = "F"
        check = self.sock.recv(1)
        if check.decode("utf-8") != "S":
            return
        print ("receive authend")
        #self.cap = cv2.VideoCapture(0)
        self.cap = cv2.VideoCapture("test.mp4")
        if self.showme:
            cv2.namedWindow('You', cv2.WINDOW_NORMAL)
        print ("remote VEDIO client connected...")
        while self.cap.isOpened():
            ret, frame = self.cap.read()
            if self.showme:
                cv2.imshow('You', frame)
                if cv2.waitKey(1) & 0xFF == 27:
                    self.showme = False
                    cv2.destroyWindow('You')
            if self.level > 0:
                frame = cv2.resize(frame, (0,0), fx=self.fx, fy=self.fx)
            data = pickle.dumps(frame)
            zdata = zlib.compress(data, zlib.Z_BEST_COMPRESSION)
            try:
                self.sock.sendall(struct.pack("L", len(zdata)) + zdata)
                print("video send ", len(zdata))
            except:
                break
            for i in range(self.interval):
                self.cap.read()

def run(self):
        while True:
            try:
                self.sock.connect(self.ADDR)
                break
            except:
                time.sleep(3)
                continue
        if self.showme:
            cv2.namedWindow('You', cv2.WINDOW_NORMAL)
        print("VEDIO client connected...")
        while self.cap.isOpened():
            ret, frame = self.cap.read()
            if self.showme:
                cv2.imshow('You', frame)
                if cv2.waitKey(1) & 0xFF == 27:
                    self.showme = False
                    cv2.destroyWindow('You')
            sframe = cv2.resize(frame, (0,0), fx=self.fx, fy=self.fx)
            data = pickle.dumps(sframe)
            zdata = zlib.compress(data, zlib.Z_BEST_COMPRESSION)
            try:
                self.sock.sendall(struct.pack("L", len(zdata)) + zdata)
            except:
                break
            for i in range(self.interval):
                self.cap.read()

def __init__(self, video_src = 0, interactive = True, video = 'vss.avi', fallback = 'synth:bg=./data/hi.jpg:noise=0.05', save_frames = False, frame_dir = './data', frame_prefix='frame-'):
        cam = create_capture(video_src, fallback=fallback)
        vwriter = None
        if interactive:
            print("q to quit")
            window = 'video square search'
            cv2.namedWindow(window, cv2.WINDOW_NORMAL)
        else:
            vwriter = VideoWriter(video)
        run = True
        t = clock()
        frameCounter = 0
        while run:
            ret, img = cam.read()
            if interactive:
                print("read next image")
            squares = find_squares(img, 0.2)
            nOfSquares = len(squares)
            cv2.drawContours( img, squares, -1, (0, 255, 0), 3 )
            dt = clock() - t
            draw_str(img, (80, 80), 'time: %.1f ms found = %d' % (dt*1000, nOfSquares), 2.0)
            if interactive:
                cv2.imshow(window, img)    
                print('q to quit, n for next')
                ch = 0xff & cv2.waitKey(100) 
                if ch == ord('q'):
                    run = False
                elif ch == ord('n'):
                    continue
            else:
                vwriter.addFrame(img)
                if save_frames:
                    fn = os.path.join(frame_dir, '%s-%04d.%s' % (frame_prefix, frameCounter, 'jpg'))
                    print("Saving %d frame to %s" % (frameCounter, fn))
                    cv2.imwrite(fn, img)
                    frameCounter+=1
        if vwriter:
            vwriter.finalise()