Python utils.mkdir_p方法代碼示例

# 需要導入模塊: import utils [as 別名]
# 或者: from utils import mkdir_p [as 別名]
def create_skeleton(self):
        """
        Create the role's directory and file structure.
        """
        utils.string_to_file(os.path.join(self.output_path, "VERSION"),
                             "master\n")

        for folder in c.ANSIBLE_FOLDERS:
            create_folder_path = os.path.join(self.output_path, folder)
            utils.mkdir_p(create_folder_path)

            mainyml_template = default_mainyml_template.replace(
                "%role_name", self.role_name)
            mainyml_template = mainyml_template.replace(
                "%values", folder)

            out_path = os.path.join(create_folder_path, "main.yml")

            if folder not in ("templates", "meta", "tests", "files"):
                utils.string_to_file(out_path, mainyml_template)

            if folder == "meta":
                utils.create_meta_main(out_path,
                                       self.config, self.role_name,
                                       self.options.galaxy_categories) 

# 需要導入模塊: import utils [as 別名]
# 或者: from utils import mkdir_p [as 別名]
def run_epicFlow_sequence(imPathList, flowdir, deepmatchdir, vizFlow=False):
    """
    Run EpicFlow Code on a sequence of images of video to obtain tracks.
    To be run after epic flow code.
    """
    fList = []
    if os.path.isdir(flowdir):
        fList = utils.read_r(flowdir, '*.flo')
    if not len(fList) == len(imPathList) - 1 or len(fList) == 0:
        utils.mkdir_p(flowdir)
        if vizFlow:
            utils.mkdir_p(flowdir + '/viz_flow/')
        for i in range(len(imPathList) - 1):
            deepmatchfile = deepmatchdir + 'match_%04d.txt' % i
            run_epicFlow_pair(
                imPathList[i], imPathList[i + 1], flowdir, deepmatchfile, i,
                vizFlow)
            sys.stdout.write('Pairwise EpicFlow: [% 5.1f%%]\r' %
                                (100.0 * float(i / len(imPathList))))
            sys.stdout.flush()
        if vizFlow:
            import subprocess
            subprocess.call(['tar', '-zcf', flowdir + '/viz_flow.tar.gz', '-C',
                                flowdir + '/viz_flow', '.'])
        print('Pairwise EpicFlow completed.')
    else:
        print('Pairwise EpicFlows already present in outdir. Using them.') 

# 需要導入模塊: import utils [as 別名]
# 或者: from utils import mkdir_p [as 別名]
def run_pre_homography(outdir, matchdir, homTh, imH, imW, dmThresh,
                        imPathList, vizHomo):
    """
    Run per frame homogrpahy on matching files of deepmatch or epic flow
    """
    if homTh < 0:
        return
    utils.rmdir_f(outdir)
    utils.mkdir_p(outdir)
    mList = utils.read_r(matchdir, '*.txt')
    if vizHomo:
        col = np.array([255, 0, 0], dtype='int')
        utils.mkdir_p(outdir + '/viz_homo/')
    for i in range(len(mList)):
        matches = read_dmOutput(mList[i], imH, imW, dmThresh, False)
        matches = frame_homography(matches, homTh)
        # fit to coordinates to image size
        matches = np.minimum(matches, np.array([imW, imH, imW, imH]) - 1)
        matches = np.maximum(matches, np.array([0]))
        matchfile = outdir + 'match_%04d.txt' % i
        np.savetxt(matchfile, matches, fmt='%d')
        if matches.size > 0 and vizHomo:
            im = np.array(Image.open(imPathList[i]))
            im = Image.fromarray(utils.draw_point_im(
                im, matches[:, [1, 0]], col, sizeOut=10))
            im.save(outdir + '/viz_homo/%s' % (imPathList[i].split('/')[-1]))

        sys.stdout.write('Pairwise pre-tracking homogrpahy: [% 5.1f%%]\r' %
                            (100.0 * float(i / len(mList))))
        sys.stdout.flush()

    import subprocess
    subprocess.call(['tar', '-zcf', outdir + '/viz_homo.tar.gz', '-C',
                        outdir + '/viz_homo', '.'])
    print('Pairwise pre-tracking homogrpahy completed.') 

# 需要導入模塊: import utils [as 別名]
# 或者: from utils import mkdir_p [as 別名]
def demo_videos():
    """
    Demo of dm_tracker on imagenet videos
    """
    args = parse_args()
    np.random.seed(args.seed)

    vidDir = '/home/dpathak/local/data/trash/videos'
    imDir = vidDir + '_im'
    vidPathList = utils.read_r(vidDir, '*.mp4')
    # vidPathList = vidPathList[5:]
    utils.mkdir_p(imDir)
    for i in range(len(vidPathList)):
        print('Video: ', vidPathList[i])
        tmpDir = imDir + '/' + vidPathList[i].split('/')[-1][:-4]
        utils.mkdir_p(tmpDir)
        # imSeq = utils.vid2im(vidPathList[i])
        # assert imSeq.size > 0, "Error reading video file"
        # for j in range(imSeq.shape[0]):
        #     Image.fromarray(imSeq[j]).save(tmpDir + '/frame_%05d.jpg' % j)
        imPathList = utils.read_r(tmpDir, '*.jpg')
        if len(imPathList) < 2:
            print('Not enough images in image directory: \n%s' % tmpDir)
            print('Continuing to next one ...')
            continue
        outdir = tmpDir.split('/')
        outdir[-2] = outdir[-2][:-3] + '_result'
        outdir = '/'.join(outdir)
        run_dm_sequence(outdir, imPathList, args.frameGap, args.dmThresh,
                        args.matchNbr, args.shotFrac, args.postTrackHomTh,
                        args.preTrackHomTh, args.use_epic,
                        args.vizFlow, args.vizTr, args.cpysrc) 

# 需要導入模塊: import utils [as 別名]
# 或者: from utils import mkdir_p [as 別名]
def create_test_case(self):
        """
        Create a test case.
        """
        testyml_template = default_testyml_template.replace(
            "%role", self.normalized_role)
        testyml_template = testyml_template.replace(
            "%year", str(date.today().year))
        testyml_template = testyml_template.replace(
            "%author", self.config["author_name"])
        testyml_template = testyml_template.replace(
            "%email", self.config["author_email"])

        utils.mkdir_p(os.path.join(self.output_path,
                                   "tests", "inventory", "group_vars"))

        utils.mkdir_p(os.path.join(self.output_path,
                                   "tests", "inventory", "host_vars"))

        hosts = "placeholder_fqdn\n"
        utils.string_to_file(os.path.join(self.output_path,
                                          "tests", "inventory", "hosts"),
                             hosts)

        test_file = os.path.join(self.output_path, "tests", "test")
        utils.string_to_file(test_file, testyml_template)

        os.chmod(test_file, 0755) 

# 需要導入模塊: import utils [as 別名]
# 或者: from utils import mkdir_p [as 別名]
def archive_database(cfg):
    dbs_to_archive = get_db_names_to_archive(cfg.lang_code)
    archive_dir = os.path.join(cfg.archive_dir, cfg.lang_code)
    if cfg.archive_duration_days > 0:
        delete_old_archives(archive_dir, cfg.archive_duration_days)

    utils.mkdir_p(archive_dir)
    now = datetime.datetime.now()
    output = os.path.join(archive_dir, now.strftime('%Y%m%d-%H%M.sql.gz'))

    print('Archiving the current database', file=sys.stderr)
    return shell(
        'mysqldump --defaults-file="%s" --host=%s --databases %s | '
        'gzip > %s' % (chdb.REPLICA_MY_CNF, chdb.TOOLS_LABS_CH_MYSQL_HOST,
            ' '.join(dbs_to_archive), output))