import cv2
from ultralytics import YOLO

model = YOLO('yolov5s.pt')  # Replace with your trained logo detection model path
cap = cv2.VideoCapture(0)  # Webcam input

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

while True:
    ret, frame = cap.read()
    if not ret:
        break

    results = model(frame)

    for result in results:
        boxes = result.boxes.xyxy.cpu().numpy()
        scores = result.boxes.conf.cpu().numpy()
        class_ids = result.boxes.cls.cpu().numpy()

        for box, score, cls_id in zip(boxes, scores, class_ids):
            if score < 0.3:
                continue

            x1, y1, x2, y2 = map(int, box)
            label = model.names[int(cls_id)]

            # Draw bounding box and label
            cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
            cv2.putText(frame, f'{label} {score:.2f}', (x1, y1 - 10),
                        cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)

            # Log detection to console
            print(f"Detected: {label} | Confidence: {score:.2f} | Box: ({x1}, {y1}), ({x2}, {y2})")

    cv2.imshow('Logo Detection', frame)

    if cv2.waitKey(1) & 0xFF == 27:
        break

cap.release()
cv2.destroyAllWindows()