def main_eval_gt():
    metro = 'metro\\metro'
    cls_set = ['02691156', '02828884', '02933112', '02958343', '03001627', '03211117', '03636649', '03691459', '04090263', '04256520', '04379243', '04401088', '04530566']
    for c in range(0, 13):
        cls_name = cls_set[c]
        ref_dir = ('rot_gt\\%s' % cls_name)
        res_dir = ('results\\%s' % cls_name)
        header = ['No', 'Error']
        with open(join(res_dir, ('metro_%s.csv' % cls_name)), 'w', newline='') as f:
            f_csv = csv.writer(f)
            f_csv.writerow(header)
            items = os.listdir(ref_dir)
            for item in items:
                if ('samples' in item):
                    continue
                print(item)
                filename = join(res_dir, (item[:(- 4)] + '.ply'))
                if (not os.path.exists(filename)):
                    continue
                os.system(('%s %s %s %s.txt -n10000' % (metro, filename, join(ref_dir, item), join(res_dir, 'output', item[:(- 4)]))))
                score = 0
                with open(join(res_dir, 'output', (item[:(- 4)] + '.txt')), 'r') as f_score:
                    letter = f_score.read()
                    if (letter == ''):
                        continue
                    score = float(letter)
                f_csv.writerow([item[:(- 4)], score])
def main_eval_gt():
    metro = 'metro\\metro'
    cls_set = ['02691156', '02828884', '02933112', '02958343', '03001627', '03211117', '03636649', '03691459', '04090263', '04256520', '04379243', '04401088', '04530566']
    for c in range(0, 13):
        cls_name = cls_set[c]
        ref_dir = ('rot_gt\\%s' % cls_name)
        res_dir = ('results\\%s' % cls_name)
        header = ['No', 'Error']
        with open(join(res_dir, ('metro_%s.csv' % cls_name)), 'w', newline=) as f:
            f_csv = csv.writer(f)
            f_csv.writerow(header)
            items = os.listdir(ref_dir)
            for item in items:
                if ('samples' in item):
                    continue
                print(item)
                filename = join(res_dir, (item[:(- 4)] + '.ply'))
                if (not os.path.exists(filename)):
                    continue
                os.system(('%s %s %s %s.txt -n10000' % (metro, filename, join(ref_dir, item), join(res_dir, 'output', item[:(- 4)]))))
                score = 0
                with open(join(res_dir, 'output', (item[:(- 4)] + '.txt')), 'r') as f_score:
                    letter = f_score.read()
                    if (letter == ):
                        continue
                    score = float(letter)
                f_csv.writerow([item[:(- 4)], score])