ct_detection / mmdetection /tests /test_datasets /test_mot_challenge_dataset.py
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# Copyright (c) OpenMMLab. All rights reserved.
import unittest
from mmdet.datasets import MOTChallengeDataset
class TestMOTChallengeDataset(unittest.TestCase):
def test_mot_challenge_dataset(self):
# test CocoDataset
metainfo = dict(classes=('pedestrian'), task_name='new_task')
dataset = MOTChallengeDataset(
data_prefix=dict(img_path='imgs'),
ann_file='tests/data/mot_sample.json',
metainfo=metainfo,
filter_cfg=dict(filter_empty_gt=True, min_size=32),
pipeline=[],
serialize_data=False,
lazy_init=False)
self.assertEqual(dataset.metainfo['classes'], ('pedestrian'))
self.assertEqual(dataset.metainfo['task_name'], 'new_task')
self.assertListEqual(dataset.get_cat_ids((0, 1)), [0, 0])
self.assertListEqual(dataset.get_cat_ids(0), [0, 0, 0, 0, 0, 0])
self.assertEqual(len(dataset), 2)
self.assertEqual(dataset.num_all_imgs, 5)
self.assertEqual(len(dataset[0]['images'][2]['instances']), 2)
def test_mot_challenge_dataset_with_visibility(self):
dataset = MOTChallengeDataset(
data_prefix=dict(img_path='imgs'),
ann_file='tests/data/mot_sample.json',
metainfo=dict(classes=('pedestrian')),
filter_cfg=dict(filter_empty_gt=True, min_size=32),
visibility_thr=0.5,
pipeline=[])
self.assertEqual(dataset.num_all_imgs, 5)
self.assertEqual(len(dataset[0]['images'][2]['instances']), 1)