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

import tempfileimport subprocessimport shleximport osimport numpy as npimport scipy.ioscript_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_boxesif __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。