import numpy as np
from ultralytics import YOLO
import cv2
import math

cap = cv2.VideoCapture('CityUtdR video.mp4')

if not cap.isOpened():
    print("Error: Could not open video file.")
    exit()

# model
model = YOLO('my_model.pt')

# object classes
classNames = ["ball", ]


while True:
    success, img = cap.read()
    results = model(img, stream=True)

    # coordinates
    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) # convert to int values

            # put box in cam
            cv2.rectangle(img, (x1, y1), (x2, y2), (255, 0, 255), 3)

            # object details
            org = [x1, y1]
            font = cv2.FONT_HERSHEY_SIMPLEX
            fontScale = 1
            color = (255, 0, 0)
            thickness = 2

            cv2.putText(img, classNames[np.argmax(box.cls)], org, font, fontScale, color, thickness)

    cv2.imshow('Output', img)
    if cv2.waitKey(1) == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()