selective search生成.mat文件

https://github.com/sergeyk/selective_search_ijcv_with_python 里的selective_search.py是python接口

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'):
    """
    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(suffix='.mat')
    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_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))

直接运行不会产生.mat文件，而是如图：

把os.remove(output_filename)这句注释掉就可以在/tmp目录下找到文件。