mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-08-02 03:42:50 +08:00
Summary: Avoid calculating all_train_cameras before it is needed, because it is slow in some datasets. Reviewed By: shapovalov Differential Revision: D38037157 fbshipit-source-id: 95461226655cde2626b680661951ab17ebb0ec75
43 lines
1.7 KiB
Python
43 lines
1.7 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
|
# All rights reserved.
|
|
#
|
|
# This source code is licensed under the BSD-style license found in the
|
|
# LICENSE file in the root directory of this source tree.
|
|
|
|
import os
|
|
import unittest
|
|
|
|
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
|
|
|
|
# These tests are only run internally, where the data is available.
|
|
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
|
|
|
|
|
|
@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)
|