Indentation for reregress option

[edmBernard]

It seem there is an indentation mistake when you construct graph
reregress is an option of rezoom

    if H['use_rezoom']:
        pred_boxes, pred_logits, pred_confidences, pred_confs_deltas, pred_boxes_deltas = build_forward(H, tf.expand_dims(x_in, 0), googlenet, 'test', reuse=None)
        grid_area = H['grid_height'] * H['grid_width']
        pred_confidences = tf.reshape(tf.nn.softmax(tf.reshape(pred_confs_deltas, [grid_area * H['rnn_len'], H['num_classes']])), [grid_area, H['rnn_len'], H['num_classes']], name='pred_confidences')
        pred_logits = tf.reshape(tf.nn.softmax(tf.reshape(pred_logits, [grid_area * H['rnn_len'], H['num_classes']])), [grid_area, H['rnn_len'], H['num_classes']])
    if H['reregress']:
        pred_boxes = pred_boxes + pred_boxes_deltas
    else:
        pred_boxes, pred_logits, pred_confidences = build_forward(H, tf.expand_dims(x_in, 0), googlenet, 'test', reuse=None)

must be

    if H['use_rezoom']:
        pred_boxes, pred_logits, pred_confidences, pred_confs_deltas, pred_boxes_deltas = build_forward(H, tf.expand_dims(x_in, 0), googlenet, 'test', reuse=None)
        grid_area = H['grid_height'] * H['grid_width']
        pred_confidences = tf.reshape(tf.nn.softmax(tf.reshape(pred_confs_deltas, [grid_area * H['rnn_len'], H['num_classes']])), [grid_area, H['rnn_len'], H['num_classes']], name='pred_confidences')
        pred_logits = tf.reshape(tf.nn.softmax(tf.reshape(pred_logits, [grid_area * H['rnn_len'], H['num_classes']])), [grid_area, H['rnn_len'], H['num_classes']])
        if H['reregress']:
            pred_boxes = pred_boxes + pred_boxes_deltas
    else:
        pred_boxes, pred_logits, pred_confidences = build_forward(H, tf.expand_dims(x_in, 0), googlenet, 'test', reuse=None)