- #VIDEO WITHIN A VIDEO WITHIN A VIDEO FRACTAL HOW TO#
- #VIDEO WITHIN A VIDEO WITHIN A VIDEO FRACTAL UPDATE#
- #VIDEO WITHIN A VIDEO WITHIN A VIDEO FRACTAL CODE#
If you call the update method once, it will be registered as a callback function, by the window widget after method, and will be called every delay milliseconds.
In our case, we’ll use the window widget for this: 1 import tkinter 2 import cv2 3 4 class App : 5 #. A clean solution, that integrates well with Tkinter is to add an update method for the App class that is also passed to the after method of a Tkinter widget. This is not advisable when mixing Tkinter with OpenCV! Tkinter, like most GUI libraries, has his own infinite loop that processes events and redraws the application window. In a typical OpenCV application, you could write an infinite loop and get frames from the camera until the user closes the window. In order to actually see the camera output, we need to continuously get frames from the camera and plot these on the Canvas object. Closing the window will cleanly stop the webcam. If you run the above code, you should see an empty white window, big enough to show your webcam output. vid = MyVideoCapture ( video_source ) 12 13 # Create a canvas that can fit the above video source size 14 self. video_source = video_source 9 10 # open video source 11 self. Now, we can create a MyVideoCapture object inside the App class and using the video source width, height create a Canvas big enough to show the entire video: 1 import tkinter 2 import cv2 3 4 class App : 5 def _init_ ( self, window, window_title, video_source = 0 ): 6 self. COLOR_BGR2RGB )) 10 else : 11 return ( ret, None ) 12 else : 13 return ( ret, None ) read () 7 if ret : 8 # Return a boolean success flag and the current frame converted to BGR 9 return ( ret, cv2. We can use the read method of the VideoCapture class to get a frame from the video source: 1 class MyVideoCapture : 2 #. CAP_PROP_FRAME_HEIGHT ) 11 12 # Release the video source when the object is destroyed 13 def _del_ ( self ): 14 if self. isOpened (): 6 raise ValueError ( "Unable to open video source", video_source ) 7 8 # Get video source width and height 9 self. VideoCapture ( video_source ) 5 if not self. Next, we’ll use the VideoCapture class from OpenCV to open a video, get the video width and height, and make sure that the video source is released when the object is destroyed: 1 class MyVideoCapture : 2 def _init_ ( self, video_source = 0 ): 3 # Open the video source 4 self.
#VIDEO WITHIN A VIDEO WITHIN A VIDEO FRACTAL CODE#
The above code will show an empty Tkinter window. mainloop () 10 11 # Create a window and pass it to the Application object 12 App ( tkinter. We are going to start with a clean version of the last example from our previous tutorial: 1 import tkinter 2 import cv2 3 4 class App : 5 def _init_ ( self, window, window_title ): 6 self. Please note that the video from the above screenshot is (c) copyright 2008, Blender Foundation you can find it at this address, if you want to use it for tests.
Another interesting application is to show a camera feed or an exiting video on a Tkinter window.
#VIDEO WITHIN A VIDEO WITHIN A VIDEO FRACTAL HOW TO#
In my last tutorial I’ve shown you how to create a minimal Tkinter application: load an image with OpenCV, plot the image on a Tkinter window and apply a blur filter when the user presses a button. Solarian Programmer My programming ramblings Home Archives Contact Privacy Python OpenCV - show a video in a Tkinter window Posted on Apby Paul
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