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34f648ede0
Summary: Move testing targets from pytorch3d/tests/TARGETS to pytorch3d/TARGETS. Reviewed By: shapovalov Differential Revision: D36186940 fbshipit-source-id: a4c52c4d99351f885e2b0bf870532d530324039b
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
# 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 unittest
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import torch
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from pytorch3d.implicitron.tools.eval_video_trajectory import (
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generate_eval_video_cameras,
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)
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from pytorch3d.renderer.cameras import look_at_view_transform, PerspectiveCameras
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from pytorch3d.transforms import axis_angle_to_matrix
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from tests.common_testing import TestCaseMixin
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class TestEvalCameras(TestCaseMixin, unittest.TestCase):
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def setUp(self):
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torch.manual_seed(42)
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def test_circular(self):
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n_train_cameras = 10
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n_test_cameras = 100
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R, T = look_at_view_transform(azim=torch.rand(n_train_cameras) * 360)
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amplitude = 0.01
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R_jiggled = torch.bmm(
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R, axis_angle_to_matrix(torch.rand(n_train_cameras, 3) * amplitude)
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)
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cameras_train = PerspectiveCameras(R=R_jiggled, T=T)
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cameras_test = generate_eval_video_cameras(
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cameras_train, trajectory_type="circular_lsq_fit", trajectory_scale=1.0
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)
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positions_test = cameras_test.get_camera_center()
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center = positions_test.mean(0)
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self.assertClose(center, torch.zeros(3), atol=0.1)
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self.assertClose(
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(positions_test - center).norm(dim=[1]),
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torch.ones(n_test_cameras),
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atol=0.1,
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)
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