本文整理汇总了Python中matplotlib.backends.backend_tkagg.FigureCanvasTkAgg.flush_events方法的典型用法代码示例。如果您正苦于以下问题：Python FigureCanvasTkAgg.flush_events方法的具体用法？Python FigureCanvasTkAgg.flush_events怎么用？Python FigureCanvasTkAgg.flush_events使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.backends.backend_tkagg.FigureCanvasTkAgg的用法示例。
在下文中一共展示了FigureCanvasTkAgg.flush_events方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Application
# 需要导入模块: from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg [as 别名]
# 或者: from matplotlib.backends.backend_tkagg.FigureCanvasTkAgg import flush_events [as 别名]
#.........这里部分代码省略.........
self.currentFrame = 0
def createFrames(self):
top = self.winfo_toplevel()
top.rowconfigure(0, weight=1)
top.columnconfigure(0, weight=1)
self.rowconfigure(0, minsize=200, weight=1)
self.rowconfigure(1, minsize=200, weight=1)
self.columnconfigure(0, minsize=10, weight=0)
self.columnconfigure(1, minsize=400, weight=1)
self.toolbarFrame = tk.LabelFrame(self, text='Toolbar')
self.originalFrame = tk.LabelFrame(self, text='Original')
self.processedFrame = tk.LabelFrame(self, text='Processed')
self.toolbarFrame.grid (row=0, column=0, rowspan=2, sticky=tk.N+tk.S+tk.E+tk.W)
self.originalFrame.grid (row=0, column=1, sticky=tk.N+tk.S+tk.E+tk.W)
self.processedFrame.grid(row=1, column=1, sticky=tk.N+tk.S+tk.E+tk.W)
self.createToolbar(self.toolbarFrame)
self.createOriginalFrame(self.originalFrame)
self.createProcessedFrame(self.processedFrame)
def createToolbar(self, parentFrame):
self.quitButton = tk.Button(parentFrame, text='Quit', command=self.quit)
self.startButton = tk.Button(parentFrame, text='Start capture', command=self.start)
self.stopButton = tk.Button(parentFrame, text='Stop capture', command=self.stop)
self.startButton.grid(row=0,sticky=tk.N+tk.S+tk.E+tk.W)
self.stopButton.grid (row=1,sticky=tk.N+tk.S+tk.E+tk.W)
self.quitButton.grid (row=2,sticky=tk.S+tk.E+tk.W)
parentFrame.rowconfigure(2, weight=1)
def createOriginalFrame(self, parentFrame):
self.originalFigure = plt.figure(figsize=(5,3))
self.originalAxes = self.originalFigure.add_subplot(111)
self.originalAxes.set_xticklabels([])
self.originalAxes.set_yticklabels([])
self.originalCanvas = FigureCanvasTkAgg(self.originalFigure, master=parentFrame)
self.originalCanvas.show()
self.originalCanvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)
def createProcessedFrame(self, parentFrame):
self.processedFigure = plt.figure(figsize=(5,3))
self.processedAxes = self.processedFigure.add_subplot(111)
self.processedAxes.set_xticklabels([])
self.processedAxes.set_yticklabels([])
self.processedCanvas = FigureCanvasTkAgg(self.processedFigure, master=parentFrame)
self.processedCanvas.show()
self.processedCanvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)
def start(self):
if self.cap is None:
self.cap = cv2.VideoCapture(0)
print 'created video capture object'
self.currentFrame = 0
self.processVideo()
def stop(self):
if self.cap is not None:
self.cap.release()
self.cap = None
print 'released video capture object'
def processVideo(self):
if self.cap is not None:
#print 'process video frame %d' % self.currentFrame
_, image_original_bgr = self.cap.read()
b,g,r = cv2.split(image_original_bgr)
image_original_rgb = cv2.merge([r,g,b])
if self.currentFrame == 0:
self.originalImageAxes = self.originalAxes.imshow(image_original_rgb)
else:
self.originalImageAxes.set_data(image_original_rgb)
if self.currentFrame == 0:
self.processedImageAxes = self.processedAxes.imshow(image_original_rgb)
else:
self.processedImageAxes.set_data(image_original_rgb)
self.updateFigures()
self.currentFrame = self.currentFrame + 1
self.after(1, self.processVideo)
def updateFigures(self):
self.originalCanvas.draw()
self.originalCanvas.flush_events()
self.processedCanvas.draw()
self.processedCanvas.flush_events()