from ultralytics import YOLO
from paths import *  # make sure model_path is defined here
import cv2

if __name__ == "__main__":

    print("Initializing model...")
    model = YOLO(model_path)

    print("Initializing camera...")
    cap = cv2.VideoCapture(0)
    cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
    cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
    cap.set(cv2.CAP_PROP_FPS, 30)

    print("Initialized")
    if not cap.isOpened():
        print("Error: Could not open camera")
        exit()

    cv2.namedWindow("Predictions", cv2.WINDOW_NORMAL)

    while True:
        ret, frame = cap.read()
        if not ret:
            print("Error: Failed to grab frame")
            break

        # Optional: resize frame to improve YOLO performance
        # frame = cv2.resize(frame, (416, 416))

        results = model.predict(source=frame, conf=0.5)

        annotated_frame = results[0].plot()  # annotated frame as NumPy array

        cv2.imshow("Predictions", annotated_frame)
        cv2.resizeWindow("Predictions", 640, 640)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    cap.release()
    cv2.destroyAllWindows()