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 from ultralytics import YOLO

import cv2

import winsound

import time

# Load pretrained YOLO model

model = YOLO("yolov8n.pt")  # You can replace with yolov9 if needed

# Animal + Human classes we want to detect

TARGET_CLASSES = {

    0: "person",

    14: "bird",

    15: "cat",

    16: "dog",

    17: "horse",

    18: "sheep",

    19: "cow",

    20: "elephant",

    21: "bear",

    22: "zebra",

    23: "giraffe"

}

# Alert sound file

ALERT_SOUND = "alert.wav"

def play_alert():

    try:

        winsound.PlaySound(ALERT_SOUND, winsound.SND_FILENAME)

    except:

        print("Error playing alert sound!")

def main():

    cap = cv2.VideoCapture(0)   # 0 = default webcam

    last_alert_time = 0

    while True:

        ret, frame = cap.read()

        if not ret:

            break

        results = model(frame)

        detected = False

        for r in results:

            for box in r.boxes:

                cls_id = int(box.cls)

                conf = float(box.conf)

                if cls_id in TARGET_CLASSES:

                    detected = True

                    x1, y1, x2, y2 = map(int, box.xyxy[0])

                    label = f"{TARGET_CLASSES[cls_id]} {conf:.2f}"

                    # Draw box

                    cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)

                    cv2.putText(frame, label, (x1, y1 - 10),

                                cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)

        # Play alert if detected someone/something

        if detected and time.time() - last_alert_time > 2:

            play_alert()

            last_alert_time = time.time()

        cv2.imshow("Animal + Human Detection", frame)

        if cv2.waitKey(1) & 0xFF == 27:  # ESC to exit

            break

    cap.release()

    cv2.destroyAllWindows()

if __name__ == "__main__":

    main()