该问题通常是因为将一个OpenCV文件对象直接传递给PaddlePaddle代码，而不是预期的NumPy数组。解决此问题的方法是将文件加载为NumPy数组，然后将其传递给PaddlePaddle代码。以下是一个可能的解决方案示例：

import cv2
import numpy as np
import paddle.fluid as fluid

# 加载OpenCV文件为NumPy数组
file_path = "path/to/file.xml"
file = cv2.FileStorage(file_path, cv2.FILE_STORAGE_READ)
array = file.getNode("node_name").mat()

# 将NumPy数组传递给PaddlePaddle代码
place = fluid.CPUPlace()
exe = fluid.Executor(place)
inference_program, feed_target_names, fetch_targets = fluid.io.load_inference_model(
    dirname="path/to/inference/model",
    executor=exe,
    model_filename="model",
    params_filename="params"
)
results = exe.run(
    inference_program,
    feed={feed_target_names[0]: array},
    fetch_list=fetch_targets
)