Comments (1)
Hello! ð 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! ð
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