main.py

from ultralytics import YOLO
import cv2
import cvzone
import math

cap = cv2.VideoCapture(0)
cap.set(3,  1024)
cap.set(4,  600)

model = YOLO("best.pt")

classNames = ['Casa Manila', 'Fort Santiago', 'King Charles IV Monument', 'Manila Cathedral', 'Palacio de Gobernador', 'San Agustin Church']

while True:
    success, img = cap.read()
    results = model(img, stream=True)
    for r in results:
        boxes = r.boxes
        for box in boxes:

            # Bounding Box
            x1,y1,x2,y2 = box.xyxy[0]
            x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2)
            # cv2.rectangle(img, (x1,y1),(x2,y2),(255,0,255),3)

            w, h, = x2 - x1, y2 - y1
            cvzone.cornerRect(img,(x1,y1,w,h))

            # Confidence
            conf = math.ceil((box.conf[0] *100)) / 100

            # Class Name
            cls = int(box.cls[0])
            cvzone.putTextRect(img, f'{classNames[cls]} {conf}', (max(0, x1), max(35, y1)),scale=0.9,thickness=2)

    cv2.imshow("Image",img)
    cv2.waitKey(1)