如何在给定Keras预测的情况下在OpenCV中绘制边界框？

import cv2
from keras.models import load_model

model = load_model('path_to_model.h5')

image = cv2.imread('path_to_image.jpg')
# 进行图像预处理，例如缩放、归一化等

predictions = model.predict(image)
# 解析预测结果，获取边界框的坐标

for box in predictions:
    x, y, w, h = box  # 假设边界框的坐标为(x, y, w, h)
    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)  # 绘制矩形框

cv2.imshow('Image with bounding boxes', image)
cv2.waitKey(0)
cv2.destroyAllWindows()