Exemple #1
0
def main():
    args = parser.parse_args()

    is_file = '.' in args.out.split('/')[-1]
    assert is_file, 'Output must be file'

    util.rm_if_needed(args.out)
    util.makedirs_if_needed(args.out)

    in_files = list(glob.glob(args.in_dir + '/*.mat'))
    assert len(in_files) > 0, 'No mat files found'

    process(in_files, args.out, args.in_key, args.out_group)
Exemple #2
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def main():
    from attend.pre.util import rm_if_needed
    args, rest_args = parser.parse_known_args()
    folds_files = sorted(glob.glob(args.folds_dir + '/*tfrecords'))
    fold_indices = create_folds(len(folds_files))

    if args.base_dir:
        log_dir = args.base_dir
    else:
        log_dir = '/vol/bitbucket/rv1017/log-' + args.prefix
    rm_if_needed(log_dir, True)

    job_dir = log_dir + '/jobs'
    os.makedirs(log_dir, exist_ok=True)
    os.makedirs(job_dir, exist_ok=True)

    from attend.util import dict_to_args
    from attend.condor import generate_job

    fold_info = {}

    rest_args += ['--val_batch_size=8', '--keep_all_checkpoints=1']

    for train_idxs, val_idx, test_idx in fold_indices:
        train_idxs = list(train_idxs)
        fold_idx = train_idxs[0] + 1
        train_files = [folds_files[i] for i in train_idxs]
        val_file = folds_files[val_idx]
        test_file = folds_files[test_idx]
        pargs = dict(data_file=train_files, val_data=val_file)
        pargs_str = dict_to_args(pargs)
        job_prefix = '{}.{}'.format(args.prefix, fold_idx)

        job_desc = generate_job(job_prefix,
                                rest_args=pargs_str.split(' ') + rest_args,
                                base_log_path=log_dir)

        with open('{}/{}.classad'.format(job_dir, fold_idx), 'w') as f:
            f.write(job_desc)

        # fold_info[fold_idx] = (dict(train_files=train_files, val_file=val_file,
        #                             test_file=test_file, prefix=job_prefix))
        fold_info[fold_idx] = {}
        fold_info[fold_idx].update(dict(prefix=job_prefix,
            train_idx=train_idxs, val_idx=val_idx, test_idx=test_idx))

    with open(log_dir + '/folds.cson', 'w') as f:
        cson.dump(fold_info, f, sort_keys=True, indent=4)
Exemple #3
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def main():
    args = parser.parse_args()

    if args.out is None:
        args.out = args.in_file.replace('.hdf5', '.tfrecords')

    is_file = '.' in args.out.split('/')[-1]
    assert is_file, 'Output must be file'

    util.rm_if_needed(args.out)
    util.makedirs_if_needed(args.out)

    in_ext = args.in_file.split('.')[-1]
    assert in_ext in ['hdf5'], 'Unsupported format {}'.format(in_ext)

    process(args.in_file, args.out)
Exemple #4
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def main():
    args = parser.parse_args()

    if not os.path.isfile(args.in_file):
        raise Exception('Input file `{}` does not exist'.format(args.in_file))

    if args.out is None:
        basename = '.'.join(args.in_file.split('.')[:-1])
        args.out = basename + '-combined.hdf5'

    is_file = '.' in args.out.split('/')[-1]
    assert is_file, 'Directory output not supported yet, try file ext'

    util.rm_if_needed(args.out)
    util.makedirs_if_needed(args.out)

    in_ext = args.in_file.split('.')[-1]
    assert in_ext in ['hdf5'], 'Unsupported format {}'.format(out_ext)

    process(args.in_file, args.out)
Exemple #5
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def main():
    args = parser.parse_args()

    if args.out is None:
        basename = os.path.basename(args.in_file)
        dirname = os.path.dirname(args.in_file)
        args.out = dirname + '/' + '.'.join(
            basename.split('.')[:-1]) + '-split' + '.hdf5'

    util.rm_if_needed(args.out)
    util.makedirs_if_needed(args.out)

    def _split_key_value_pair(s):
        key, value = s.split('=')
        return key, int(value)

    splits = list(map(_split_key_value_pair, args.splits.split(' ')))
    print(splits)

    process(args.in_file, args.out, splits)
Exemple #6
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def main():
    args = parser.parse_args()

    if not os.path.isdir(args.in_dir):
        raise Exception('Input directory `{}` does not exist'.format(args.in_dir))

    is_file = '.' in args.out.split('/')[-1]
    assert is_file, 'Directory output not supported yet, try file ext'

    util.rm_if_needed(args.out)
    util.makedirs_if_needed(args.out)

    out_ext = args.out.split('.')[-1]
    assert out_ext in ['hdf5'], 'Unsupported format {}'.format(out_ext)

    vid_dirs = list(util.find_deepest_dirs(args.in_dir))
    assert len(vid_dirs) != 0, 'Could not find any vids'
    print('Found {} directories'.format(len(vid_dirs)))

    process_vids(vid_dirs, args.out)
Exemple #7
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def main():
    args = parser.parse_args()

    if not os.path.isdir(args.in_dir):
        raise Exception('Input directory `{}` does not exist'.format(
            args.in_dir))

    is_file = '.' in args.out.split('/')[-1]
    assert is_file, 'Directory output not supported yet, try file ext'

    util.rm_if_needed(args.out)
    util.makedirs_if_needed(args.out)

    out_ext = args.out.split('.')[-1]
    assert out_ext in ['hdf5'], 'Unsupported format {}'.format(out_ext)

    # Mean pixel
    if args.subtract_mean_pixel:
        mean_pixel = np.load(args.mean_pixel)
    else:
        print('Not using the mean pixel value')
        mean_pixel = None

    vid_dirs = list(util.find_deepest_dirs(args.in_dir))
    assert len(vid_dirs) != 0, 'Could not find any vids'
    print('Found {} directories'.format(len(vid_dirs)))

    # Create a generator that generates batches of features per video
    vids = process_vids(vid_dirs,
                        model_key=args.feature,
                        debug=args.debug,
                        batch_size=args.batch_size,
                        mean_pixel=mean_pixel)

    # Write out the batches of features
    writers[out_ext](vids, args.out)
Exemple #8
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def main():
    args = parser.parse_args()
    if not os.path.isdir(args.in_dir):
        raise Exception('Input directory `{}` does not exist'.format(
            args.in_dir))

    is_file = '.' in args.out.split('/')[-1]
    assert is_file

    util.rm_if_needed(args.out)
    util.makedirs_if_needed(args.out)

    out_ext = args.out.split('.')[-1]
    assert out_ext in ['npy'], 'Unsupported format {}'.format(out_ext)

    vid_dirs = list(util.find_deepest_dirs(args.in_dir))
    assert len(vid_dirs) != 0, 'Could not find any vids'
    print('Found {} directories'.format(len(vid_dirs)))

    # Create a generator that generates batches of features per video
    pixel = process_vids(vid_dirs)

    # Write out the batches of features
    writers[out_ext](pixel, args.out)