Ejemplo n.º 1
0
def read_lines_truth(csv_file_name, tower_gt):
    connected_pair = []
    for start, stop, online_points in read_line_csv_data(
            csv_file_name, tower_gt):
        centers = add_point_if_not_nearby(start, stop,
                                          [tower_gt[a] for a in online_points])
        for i in range(len(centers) - 1):
            # find the corresponding gt
            try:
                connected_pair.append(
                    order_pair(find_point_id(tower_gt, centers[i]),
                               find_point_id(tower_gt, centers[i + 1])))
            except AssertionError:
                pass
    return connected_pair
Ejemplo n.º 2
0
def grid_score(tower_gt, tower_pred, line_gt, line_pred, link_list):
    cnt_obj = 0
    for a in link_list:
        if a > -1:
            cnt_obj += 1
    cnt_pred = 0

    lp = []
    for cp in line_pred:
        lp.append(order_pair(*cp))
    lp = list(set(lp))

    for cp in lp:
        if (link_list[cp[0]] > -1) and (link_list[cp[1]] > -1):
            if (link_list[cp[0]], link_list[cp[1]]) in line_gt:
                cnt_pred += 1

    tp = cnt_obj + cnt_pred
    n_recall = len(tower_gt) + len(line_gt)
    n_precision = len(tower_pred) + len(line_pred)

    return tp, n_recall, n_precision
Ejemplo n.º 3
0
def grid_score(tower_gt,
               tower_pred,
               line_gt,
               line_pred,
               link_list,
               score_type='all'):
    assert score_type in ['Graph', 'Tower', 'Line']

    cnt_obj = 0
    for a in link_list:
        if a > -1:
            cnt_obj += 1

    lp = []
    for cp in line_pred:
        lp.append(order_pair(*cp))
    lp = list(set(lp))

    cnt_pred = 0
    for cp in lp:
        if (link_list[cp[0]] > -1) and (link_list[cp[1]] > -1):
            if (link_list[cp[0]], link_list[cp[1]]) in line_gt:
                cnt_pred += 1

    if score_type == 'Graph':
        tp = cnt_obj + cnt_pred
        n_recall = len(tower_gt) + len(line_gt)
        n_precision = len(tower_pred) + len(line_pred)
    elif score_type == 'Tower':
        tp = cnt_obj
        n_recall = len(tower_gt)
        n_precision = len(tower_pred)
    else:
        tp = cnt_pred
        n_recall = len(line_gt)
        n_precision = len(line_pred)

    return tp, n_recall, n_precision
Ejemplo n.º 4
0
            save_file_name = os.path.join(
                dirs['task'], '{}_{}_cp.npy'.format(city_list[city_id],
                                                    tile_id))

            # load data
            line_gt, tower_gt = load_data(dirs, city_id, tile_id)

            # get tower connection info
            connected_pair = []
            csv_file_name = os.path.join(
                dirs['raw'], 'USA_{}_{}.csv'.format(city_list[city_id],
                                                    tile_id))
            for start, stop, online_points in read_line_csv_data(
                    csv_file_name, tower_gt):
                centers = add_point_if_not_nearby(
                    start, stop, [tower_gt[a] for a in online_points])

                for i in range(len(centers) - 1):
                    # find the corresponding gt
                    try:
                        connected_pair.append(
                            order_pair(find_point_id(tower_gt, centers[i]),
                                       find_point_id(tower_gt,
                                                     centers[i + 1])))
                    except AssertionError:
                        pass

            #visualize_results(img_dir, city_id, tile_id, raw_rgb, line_gt, tower_gt, tower_gt, connected_pair,
            #                  None, None)
            misc_utils.save_file(save_file_name, connected_pair)