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command start the object detectiondetect run the t

Command start the object detectiondetect run the tkinter main loopapp

Question

Please show me the code that will let me change the confidence threshold of YOLOv8 in this code. Currently using webcam as my camera feed for real-time object detection

from ultralytics import YOLO

# Load the custom YOLOv8 model

 frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

 results = model(frame)

 app.after(10, detect)

 else:

app = tk.Tk()

app.title("YOLOv8 Inference")

clsBtn.pack()

detect()

  1. Use the slider's value to set the confidence threshold for the YOLOv8 model.

import cv2

model = YOLO('best.pt')

# Function to update the confidence threshold based on the slider's value

def detect():

    success, frame = cap.read()

        photo = ImageTk.PhotoImage(image=Image.fromarray(annotated_frame))

        canvas.create_image(0, 0, anchor=tk.NW, image=photo)

# Function to close the application

def close():

# Set up the Tkinter application

app = tk.Tk()

canvas = tk.Canvas(app, width=640, height=480)

canvas.pack()

# Set up the close button

clsBtn = tk.Button(app, text="Close", command=close)

app.mainloop()

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