Tkinter, Pillow, opencv, and gPhotoSpy to view a video from Google Photos in a Tk canvas

video_show.py

import PIL.ImageTk
import PIL.Image
import time
import cv2
import tkinter


class ImgVideoCapture:
    def __init__(self, video_url):
        # gets the video from the url as a VideoCapture wrapper
        self.vid = cv2.VideoCapture(video_url)
        if not self.vid.isOpened():
            raise Exception("Unable to open media URL", video_url)

    def __del__(self):
        if self.vid.isOpened():
            self.vid.release()

    def get_frame(self):
        if self.vid.isOpened():
            success, frame = self.vid.read()
            if success:
                # Returns the current frame converted to RGB
                return (success, cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
        # If could't get the frame return success=False, and None image
        return (False, None)


class VideoApp:
    def __init__(self,
                 window,
                 video_source,
                 window_title="Google Photos videos through Tk and cv2"):
        self.window = window
        self.window.title(window_title)

        self.video_url = video_source.get_url()
        (self.width, self.height) = video_source.dimensions(800, 600)

        self.vid = ImgVideoCapture(self.video_url)

        # Create and pack a canvas
        self.canvas = tkinter.Canvas(
            window, width=self.width + 20, height=self.height + 20, bg='black')
        self.canvas.pack(side='top', fill='both', expand='yes')

        self.delay = 15  # should be according to framerate
        self.update()  # sets the periodoc update
        self.window.mainloop()  # the main loop is given to it

    def update(self):
        # Get a frame from the video source, and a bool for success
        success, frame = self.vid.get_frame()
        # If the frame was obtained set it as image in the canvas
        if success:
            img = PIL.Image.fromarray(frame)
            img.resize((self.width, self.height), PIL.Image.ANTIALIAS)
            self.single_frame = PIL.ImageTk.PhotoImage(
                image=img)
            self.canvas.create_image(
                10, 10, image=self.single_frame, anchor='nw')

        # calls itself again every self.delay milliseconds
        # this effectively creates the video effect
        self.window.after(self.delay, self.update)