How to add a button inside the video stream of yolov5.

[tasyoooo]

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Question

I'm using webcam as the source, what modification in detect.py i can add to add a button that has a function to destroy the window

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[glenn-jocher]

Hello! 😊 Adding a UI element like a button requires integrating YOLOv5's output with a graphical user interface (GUI) library, as YOLOv5 itself doesn't handle GUI components directly.

For a simple implementation with Python, you can consider using Tkinter alongside OpenCV. However, this involves modifying the code to run detections in a separate thread or process, updating the GUI with the video feed, and then handling the button event to terminate the window.

Here's a very simplified outline of what this could look like:

import cv2
from tkinter import *
from threading import Thread

# Function to handle detections and display video
def video_stream():
    cap = cv2.VideoCapture(0)  # Webcam source
    while True:
        ret, frame = cap.read()
        if ret:
            # Your YOLOv5 detection code would go here. For simplicity, we're just displaying the frame.
            cv2.imshow('YOLOv5 Detection', frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):  # Modify as necessary based on your GUI event
            break
    cap.release()
    cv2.destroyAllWindows()

# Function to start video stream in a thread
def start_stream():
    Thread(target=video_stream).start()

# Function to destroy the window - you'd call this with your button
def destroy_window():
    cv2.destroyAllWindows()  # Close the CV2 window
    root.destroy()  # Close the tkinter window

# Setting up a simple tkinter window
root = Tk()
root.title("YOLOv5 GUI")
start_btn = Button(root, text="Start YOLOv5 Stream", command=start_stream)
start_btn.pack()
close_btn = Button(root, text="Close", command=destroy_window)
close_btn.pack()

root.mainloop()

Do note, this is a very basic implementation and may need significant adjustments based on your specific requirements. Integrating real-time detection with GUI libraries can be complex and might require a more in-depth approach.

Happy coding! 🚀

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