生成.m文件的python代码中出现的错误

错误代码

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_rcnn',image_tag):
    """
    Run MATLAB Selective Search code on the given image filenames to
    generate window proposals.

    Parameters
    ----------
    image_filenames: strings
        Paths to images to run on.
    cmd: string
        selective search function to call:
            - 'selective_search' for a few quick proposals
            - 'selective_seach_rcnn' for R-CNN configuration for more coverage.
    """
    # Form the MATLAB script command that processes images and write to
    # temporary results file.
    f, output_filename = tempfile.mkstemp(prefix = '{}'.format(image_tag),suffix='.mat',dir='/home/bnrc/formatm')
    os.close(f)
    fnames_cell = '{' + ','.join("'{}'".format(x) for x in image_fnames) + '}'
    command = "{}({}, '{}')".format(cmd, fnames_cell, output_filename)
    print(command)

    # Execute command in MATLAB.
    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!")

    # Read the results and undo Matlab's 1-based indexing.
    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]

    # Remove temporary file, and return.
    #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__':
    """
    Run a demo.
    """
    import time
    image_tag = '/000015.jpg'
    image_filenames = [
        script_dirname + '/000015.jpg',
        script_dirname + '/cat.jpg'
    ]
    t = time.time()
    #boxes = get_windows(image_filenames)
    boxes = get_windows(image_filenames,cmd='selective_search_rcnn',image_tag)
    print(boxes[:2])
    print("Processed {} images in {:.3f} s".format(
        len(image_filenames), time.time() - t))

报的错误：

非默认的参数在默认参数之后。image_tag这个参数在cmd之后，但cmd是默认参数的，image_tag不是默认的。

修改代码

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, image_tag,cmd='selective_search_rcnn'):
    """
    Run MATLAB Selective Search code on the given image filenames to
    generate window proposals.

    Parameters
    ----------
    image_filenames: strings
        Paths to images to run on.
    cmd: string
        selective search function to call:
            - 'selective_search' for a few quick proposals
            - 'selective_seach_rcnn' for R-CNN configuration for more coverage.
    """
    # Form the MATLAB script command that processes images and write to
    # temporary results file.
    f, output_filename = tempfile.mkstemp(prefix = '{}'.format(image_tag),suffix='.mat',dir='/home/bnrc/formatm')
    os.close(f)
    fnames_cell = '{' + ','.join("'{}'".format(x) for x in image_fnames) + '}'
    command = "{}({}, '{}')".format(cmd, fnames_cell, output_filename)
    print(command)

    # Execute command in MATLAB.
    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!")

    # Read the results and undo Matlab's 1-based indexing.
    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]

    # Remove temporary file, and return.
    #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__':
    """
    Run a demo.
    """
    import time
    image_tag = '/000015.jpg'
    image_filenames = [
        script_dirname + '/000015.jpg',
        script_dirname + '/cat.jpg'
    ]
    t = time.time()
    #boxes = get_windows(image_filenames)
    boxes = get_windows(image_filenames,image_tag)
    print(boxes[:2])
    print("Processed {} images in {:.3f} s".format(
        len(image_filenames), time.time() - t))

之后又报错:

这个把image_tag里的/删除掉就好了