当试图使用scipy.io.loadmat读取.mat文件时，“类型错误:缓冲区太小，无法请求数组”。

I have such a code:

我有这样的代码:

import tempfile
import subprocess
import shlex
import os
import numpy as np
import scipy.io

script_dirname = os.path.abspath(os.path.dirname(__file__))


def get_windows(image_fnames, cmd='selective_search'):
    f, output_filename = tempfile.mkstemp(suffix='.mat')
    os.close(f)
    fnames_cell = '{' + ','.join("'{}'".format(x) for x in image_fnames) + '}'
    command = "{}({}, '{}')".format(cmd, fnames_cell, output_filename)
    print(command)

    mc = "matlab -nojvm -r \"try; {}; catch; exit; end; exit\"".format(command)
    pid = subprocess.Popen(
        shlex.split(mc), stdout=open('/dev/null', 'w'), cwd=script_dirname)
    retcode = pid.wait()
    if retcode != 0:
        raise Exception("Matlab script did not exit successfully!")

    all_boxes = list(scipy.io.loadmat(output_filename)['all_boxes'][0])
    subtractor = np.array((1, 1, 0, 0))[np.newaxis, :]
    all_boxes = [boxes - subtractor for boxes in all_boxes]

    os.remove(output_filename)
    if len(all_boxes) != len(image_fnames):
        raise Exception("Something went wrong computing the windows!")
    return all_boxes

if __name__ == '__main__':

    import time

    image_filenames = [
        script_dirname + '/000015.jpg',
        script_dirname + '/cat.jpg'
    ] * 4
    t = time.time()
    boxes = get_windows(image_filenames)
    print(boxes[:2])
    print("Processed {} images in {:.3f} s".format(
        len(image_filenames), time.time() - t))
import tempfil