import tkinter as tk, threading
import imageio
from PIL import Image, ImageTk
video_name = "test.mkv" #This is your video file path
video = imageio.get_reader(video_name)
def stream(label):
for image in video.iter_data():
frame_image = ImageTk.PhotoImage(Image.fromarray(image))
label.config(image=frame_image)
label.image = frame_image
if __name__ == "__main__":
root = tk.Tk()
my_label = tk.Label(root)
my_label.pack()
thread = threading.Thread(target=stream, args=(my_label,))
thread.daemon = 1
thread.start()
root.mainloop()
1 import tkinter
2 import cv2
3 import PIL.Image, PIL.ImageTk
4 import time
5
6 class App:
7 def __init__(self, window, window_title, video_source=0):
8 self.window = window
9 self.window.title(window_title)
10 self.video_source = video_source
11
12 # open video source (by default this will try to open the computer webcam)
13 self.vid = MyVideoCapture(self.video_source)
14
15 # Create a canvas that can fit the above video source size
16 self.canvas = tkinter.Canvas(window, width = self.vid.width, height = self.vid.height)
17 self.canvas.pack()
18
19 # Button that lets the user take a snapshot
20 self.btn_snapshot=tkinter.Button(window, text="Snapshot", width=50, command=self.snapshot)
21 self.btn_snapshot.pack(anchor=tkinter.CENTER, expand=True)
22
23 # After it is called once, the update method will be automatically called every delay milliseconds
24 self.delay = 15
25 self.update()
26
27 self.window.mainloop()
28
29 def snapshot(self):
30 # Get a frame from the video source
31 ret, frame = self.vid.get_frame()
32
33 if ret:
34 cv2.imwrite("frame-" + time.strftime("%d-%m-%Y-%H-%M-%S") + ".jpg", cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
35
36 def update(self):
37 # Get a frame from the video source
38 ret, frame = self.vid.get_frame()
39
40 if ret:
41 self.photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(frame))
42 self.canvas.create_image(0, 0, image = self.photo, anchor = tkinter.NW)
43
44 self.window.after(self.delay, self.update)
45
46
47 class MyVideoCapture:
48 def __init__(self, video_source=0):
49 # Open the video source
50 self.vid = cv2.VideoCapture(video_source)
51 if not self.vid.isOpened():
52 raise ValueError("Unable to open video source", video_source)
53
54 # Get video source width and height
55 self.width = self.vid.get(cv2.CAP_PROP_FRAME_WIDTH)
56 self.height = self.vid.get(cv2.CAP_PROP_FRAME_HEIGHT)
57
58 def get_frame(self):
59 if self.vid.isOpened():
60 ret, frame = self.vid.read()
61 if ret:
62 # Return a boolean success flag and the current frame converted to BGR
63 return (ret, cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
64 else:
65 return (ret, None)
66 else:
67 return (ret, None)
68
69 # Release the video source when the object is destroyed
70 def __del__(self):
71 if self.vid.isOpened():
72 self.vid.release()
73
74 # Create a window and pass it to the Application object
75 App(tkinter.Tk(), "Tkinter and OpenCV")