import cv2
from utils.get_image import get_image
from ultralytics import YOLO

model = YOLO(r"best0.pt").to('cuda')

def yolo_shibie(im_PIL, detections):
    results = model(im_PIL)
    result = results[0]

    # ✅ 获取绘制好框的图像
    frame_with_boxes = result.plot()

    # ✅ 用 OpenCV 动态显示
    cv2.imshow("YOLO实时检测", frame_with_boxes)

    # ESC 或 Q 键退出
    if cv2.waitKey(1) & 0xFF in [27, ord('q')]:
        return None

    # ✅ 提取检测信息
    for i in range(len(result.boxes.xyxy)):
        left, top, right, bottom = result.boxes.xyxy[i]
        cls_id = int(result.boxes.cls[i])
        label = result.names[cls_id]

        if label in ['center', 'next', 'npc1', 'npc2', 'npc3', 'npc4', 'boss', 'zhaozi']:
            player_x = int(left + (right - left) / 2) + 3
            player_y = int(top + (bottom - top) / 2) + 40
            detections[label] = [player_x, player_y]
        elif label in ['daojv', 'gw']:
            player_x = int(left + (right - left) / 2) + 3
            player_y = int(top + (bottom - top) / 2) + 40
            detections[label].append([player_x, player_y])

    return detections


while True:
    detections = {
        'center': None, 'next': None,
        'npc1': None, 'npc2': None, 'npc3': None, 'npc4': None,
        'boss': None, 'zhaozi': None,
        'daojv': [], 'gw': []
    }

    im_opencv = get_image.get_frame()  # [RGB, PIL]
    detections = yolo_shibie(im_opencv[1], detections)

    if detections is None:  # 用户退出
        break

    print(detections)

cv2.destroyAllWindows()