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| import os |
| import unittest |
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| from pytorch3d.implicitron.dataset.data_source import ImplicitronDataSource |
| from pytorch3d.implicitron.tools.config import get_default_args |
| from pytorch3d.renderer import PerspectiveCameras |
| from tests.common_testing import TestCaseMixin |
|
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| |
| internal = os.environ.get("FB_TEST", False) |
| inside_re_worker = os.environ.get("INSIDE_RE_WORKER", False) |
| skip_tests = not internal or inside_re_worker |
|
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|
| @unittest.skipIf(skip_tests, "no data") |
| class TestDataJsonIndex(TestCaseMixin, unittest.TestCase): |
| def test_loaders(self): |
| args = get_default_args(ImplicitronDataSource) |
| args.dataset_map_provider_class_type = "JsonIndexDatasetMapProvider" |
| dataset_args = args.dataset_map_provider_JsonIndexDatasetMapProvider_args |
| dataset_args.category = "skateboard" |
| dataset_args.dataset_root = "manifold://co3d/tree/extracted" |
| dataset_args.test_restrict_sequence_id = 0 |
| dataset_args.dataset_JsonIndexDataset_args.limit_sequences_to = 1 |
|
|
| data_source = ImplicitronDataSource(**args) |
|
|
| cameras = data_source.all_train_cameras |
| self.assertIsInstance(cameras, PerspectiveCameras) |
| self.assertEqual(len(cameras), 81) |
|
|
| data_sets, data_loaders = data_source.get_datasets_and_dataloaders() |
|
|
| self.assertEqual(len(data_sets.train), 81) |
| self.assertEqual(len(data_sets.val), 102) |
| self.assertEqual(len(data_sets.test), 102) |
|
|
| def test_visitor_subsets(self): |
| args = get_default_args(ImplicitronDataSource) |
| args.dataset_map_provider_class_type = "JsonIndexDatasetMapProvider" |
| dataset_args = args.dataset_map_provider_JsonIndexDatasetMapProvider_args |
| dataset_args.category = "skateboard" |
| dataset_args.dataset_root = "manifold://co3d/tree/extracted" |
| dataset_args.test_restrict_sequence_id = 0 |
| dataset_args.dataset_JsonIndexDataset_args.limit_sequences_to = 1 |
|
|
| data_source = ImplicitronDataSource(**args) |
| datasets, _ = data_source.get_datasets_and_dataloaders() |
| dataset = datasets.test |
|
|
| sequences = list(dataset.sequence_names()) |
| self.assertEqual(len(sequences), 1) |
| i = 0 |
| for seq in sequences: |
| last_ts = float("-Inf") |
| seq_frames = list(dataset.sequence_frames_in_order(seq)) |
| self.assertEqual(len(seq_frames), 102) |
| for ts, _, idx in seq_frames: |
| self.assertEqual(i, idx) |
| i += 1 |
| self.assertGreaterEqual(ts, last_ts) |
| last_ts = ts |
|
|
| last_ts = float("-Inf") |
| known_frames = list(dataset.sequence_frames_in_order(seq, "test_known")) |
| self.assertEqual(len(known_frames), 81) |
| for ts, _, _ in known_frames: |
| self.assertGreaterEqual(ts, last_ts) |
| last_ts = ts |
|
|
| known_indices = list(dataset.sequence_indices_in_order(seq, "test_known")) |
| self.assertEqual(len(known_indices), 81) |
|
|
| break |
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