Python cv.WaitKey方法代码示例

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import WaitKey [as 别名]
def main():
    """Open test color images, create display window, start the search"""
    cv.NamedWindow(WNDNAME, 1)
    for name in [ "../c/pic%d.png" % i for i in [1, 2, 3, 4, 5, 6] ]:
        img0 = cv.LoadImage(name, 1)
        try:
            img0
        except ValueError:
            print "Couldn't load %s\n" % name
            continue

        # slider deleted from C version, same here and use fixed Canny param=50
        img = cv.CloneImage(img0)

        cv.ShowImage(WNDNAME, img)

        # force the image processing
        draw_squares( img, find_squares4( img ) )

        # wait for key.
        if cv.WaitKey(-1) % 0x100 == 27:
            break 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import WaitKey [as 别名]
def run(self):
		while self.running:
			img = cv.QueryFrame(self.camera)
			self.image_queue.put(img)
			c = cv.WaitKey(30) 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import WaitKey [as 别名]
def process_frames(self):

        while True:
            frame = cv.QueryFrame(self.capture)

            aframe = numpy.asarray(frame[:, :])
            g = cv.fromarray(aframe)
            g = numpy.asarray(g)

            imgray = cv2.cvtColor(g, cv2.COLOR_BGR2GRAY)

            raw = str(imgray.data)
            scanner = zbar.ImageScanner()
            scanner.parse_config('enable')

            imagezbar = zbar.Image(frame.width, frame.height, 'Y800', raw)
            scanner.scan(imagezbar)

            # Process the frames
            for symbol in imagezbar:
                if not self.process_symbol(symbol):
                    return

            # Update the preview window
            cv2.imshow(self.window_name, aframe)
            cv.WaitKey(5) 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import WaitKey [as 别名]
def run(self):
        started = time.time()
        while True:
            
            currentframe = cv.QueryFrame(self.capture)
            instant = time.time() #Get timestamp o the frame
            
            self.processImage(currentframe) #Process the image
            
            if not self.isRecording:
                if self.somethingHasMoved():
                    self.trigger_time = instant #Update the trigger_time
                    if instant > started +10:#Wait 5 second after the webcam start for luminosity adjusting etc..
                        print "Something is moving !"
                        if self.doRecord: #set isRecording=True only if we record a video
                            self.isRecording = True
                cv.DrawContours (currentframe, self.currentcontours, (0, 0, 255), (0, 255, 0), 1, 2, cv.CV_FILLED)
            else:
                if instant >= self.trigger_time +10: #Record during 10 seconds
                    print "Stop recording"
                    self.isRecording = False
                else:
                    cv.PutText(currentframe,datetime.now().strftime("%b %d, %H:%M:%S"), (25,30),self.font, 0) #Put date on the frame
                    cv.WriteFrame(self.writer, currentframe) #Write the frame
            
            if self.show:
                cv.ShowImage("Image", currentframe)
                
            c=cv.WaitKey(1) % 0x100
            if c==27 or c == 10: #Break if user enters 'Esc'.
                break 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import WaitKey [as 别名]
def run(self):
        self.on_segment()
        cv.WaitKey(0) 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import WaitKey [as 别名]
def run(self):
        hist = cv.CreateHist([180], cv.CV_HIST_ARRAY, [(0,180)], 1 )
        backproject_mode = False
        while True:
            frame = cv.QueryFrame( self.capture )

            # Convert to HSV and keep the hue
            hsv = cv.CreateImage(cv.GetSize(frame), 8, 3)
            cv.CvtColor(frame, hsv, cv.CV_BGR2HSV)
            self.hue = cv.CreateImage(cv.GetSize(frame), 8, 1)
            cv.Split(hsv, self.hue, None, None, None)

            # Compute back projection
            backproject = cv.CreateImage(cv.GetSize(frame), 8, 1)

            # Run the cam-shift
            cv.CalcArrBackProject( [self.hue], backproject, hist )
            if self.track_window and is_rect_nonzero(self.track_window):
                crit = ( cv.CV_TERMCRIT_EPS | cv.CV_TERMCRIT_ITER, 10, 1)
                (iters, (area, value, rect), track_box) = cv.CamShift(backproject, self.track_window, crit)
                self.track_window = rect

            # If mouse is pressed, highlight the current selected rectangle
            # and recompute the histogram

            if self.drag_start and is_rect_nonzero(self.selection):
                sub = cv.GetSubRect(frame, self.selection)
                save = cv.CloneMat(sub)
                cv.ConvertScale(frame, frame, 0.5)
                cv.Copy(save, sub)
                x,y,w,h = self.selection
                cv.Rectangle(frame, (x,y), (x+w,y+h), (255,255,255))

                sel = cv.GetSubRect(self.hue, self.selection )
                cv.CalcArrHist( [sel], hist, 0)
                (_, max_val, _, _) = cv.GetMinMaxHistValue( hist)
                if max_val != 0:
                    cv.ConvertScale(hist.bins, hist.bins, 255. / max_val)
            elif self.track_window and is_rect_nonzero(self.track_window):
                cv.EllipseBox( frame, track_box, cv.CV_RGB(255,0,0), 3, cv.CV_AA, 0 )

            if not backproject_mode:
                cv.ShowImage( "CamShiftDemo", frame )
            else:
                cv.ShowImage( "CamShiftDemo", backproject)
            cv.ShowImage( "Histogram", self.hue_histogram_as_image(hist))

            c = cv.WaitKey(7) % 0x100
            if c == 27:
                break
            elif c == ord("b"):
                backproject_mode = not backproject_mode