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get_all_train_cameras
Summary: As part of removing Task, make the dataset code generate the source cameras for itself. There's a small optimization available here, in that the JsonIndexDataset could avoid loading images. Reviewed By: shapovalov Differential Revision: D37313423 fbshipit-source-id: 3e5e0b2aabbf9cc51f10547a3523e98c72ad8755
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tests/implicitron/test_data_json_index.py
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42
tests/implicitron/test_data_json_index.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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import os
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import unittest
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from pytorch3d.implicitron.dataset.data_source import ImplicitronDataSource
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from pytorch3d.implicitron.tools.config import get_default_args
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from pytorch3d.renderer import PerspectiveCameras
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from tests.common_testing import TestCaseMixin
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# These tests are only run internally, where the data is available.
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internal = os.environ.get("FB_TEST", False)
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inside_re_worker = os.environ.get("INSIDE_RE_WORKER", False)
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skip_tests = not internal or inside_re_worker
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@unittest.skipIf(skip_tests, "no data")
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class TestDataJsonIndex(TestCaseMixin, unittest.TestCase):
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def test_loaders(self):
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args = get_default_args(ImplicitronDataSource)
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args.dataset_map_provider_class_type = "JsonIndexDatasetMapProvider"
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dataset_args = args.dataset_map_provider_JsonIndexDatasetMapProvider_args
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dataset_args.category = "skateboard"
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dataset_args.dataset_root = "manifold://co3d/tree/extracted"
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dataset_args.test_restrict_sequence_id = 0
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dataset_args.dataset_JsonIndexDataset_args.limit_sequences_to = 1
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data_source = ImplicitronDataSource(**args)
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cameras = data_source.get_all_train_cameras()
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self.assertIsInstance(cameras, PerspectiveCameras)
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self.assertEqual(len(cameras), 81)
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data_sets, data_loaders = data_source.get_datasets_and_dataloaders()
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self.assertEqual(len(data_sets.train), 81)
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self.assertEqual(len(data_sets.val), 102)
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self.assertEqual(len(data_sets.test), 102)
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@@ -16,6 +16,7 @@ from pytorch3d.implicitron.dataset.llff_dataset_map_provider import (
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LlffDatasetMapProvider,
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)
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from pytorch3d.implicitron.tools.config import expand_args_fields, get_default_args
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from pytorch3d.renderer import PerspectiveCameras
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from tests.common_testing import TestCaseMixin
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@@ -123,3 +124,7 @@ class TestDataLlff(TestCaseMixin, unittest.TestCase):
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for i in data_loaders.test:
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self.assertEqual(i.frame_type, ["unseen"])
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self.assertEqual(i.image_rgb.shape, (1, 3, 800, 800))
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cameras = data_source.get_all_train_cameras()
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self.assertIsInstance(cameras, PerspectiveCameras)
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self.assertEqual(len(cameras), 100)
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@@ -24,11 +24,7 @@ from pytorch3d.implicitron.tools.config import expand_args_fields, registry
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from pytorch3d.implicitron.tools.metric_utils import calc_psnr, eval_depth
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from pytorch3d.implicitron.tools.utils import dataclass_to_cuda_
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if os.environ.get("FB_TEST", False):
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from .common_resources import get_skateboard_data, provide_lpips_vgg
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else:
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from common_resources import get_skateboard_data, provide_lpips_vgg
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from .common_resources import get_skateboard_data, provide_lpips_vgg
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class TestEvaluation(unittest.TestCase):
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