Python • Please help, python hates me.

Code:

import cv2import numpy as np# Function to detect and track people using Haar cascadesdef detect_and_track_people(frame, cascade):    # Convert frame to grayscale    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)    # Perform object detection    people = cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))    # Draw rectangles around the detected people and track them    for (x, y, w, h) in people:        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)    return frame# Specify the path to the Haar cascade XML file for pedestrian detection (You can use other trained cascades for different objects)cascade_path = 'path_to_haar_cascade_xml_file'# Load Haar cascade for pedestrian detectioncascade = cv2.CascadeClassifier(cascade_path)# Create a VideoCapture object to access Raspberry Pi cameracap = cv2.VideoCapture(0)  # Use 0 for internal camera or 1 for external camera# Check if camera was successfully openedif not cap.isOpened():    print("Unable to open camera")    exit()# Read and display frames from the camerawhile True:    ret, frame = cap.read()  # Read frame from camera    if not ret:        print("Failed to read from camera")        break    # Detect and track people in the frame    tracked_frame = detect_and_track_people(frame, cascade)    # Display the resulting frame    cv2.imshow('Live Feed', tracked_frame)    # Exit on 'q' key press    if cv2.waitKey(1) & 0xFF == ord('q'):        break# Release VideoCapture and close windowscap.release()cv2.destroyAllWindows()