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bc9328c7ff
* GaussianSplats export: allow uint8 in ply * Ruff formatting * Add test and narrower typing * Formatting * Revert narrow typing, not supported by old python * Fix typing for old pythons
83 lines
3.2 KiB
Python
83 lines
3.2 KiB
Python
# Copyright 2022 the Regents of the University of California, Nerfstudio Team and contributors. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from collections import OrderedDict
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from pathlib import Path
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import numpy as np
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import open3d as o3d
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import pytest
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from nerfstudio.scripts.exporter import ExportGaussianSplat
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def test_export_gaussian_splat_write_ply(tmp_path: Path):
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filename = str(tmp_path / "test_export_gaussian_splat_write_ply.ply")
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count = 10
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colors_original = np.random.randint(0, 255, size=(count,), dtype=np.uint8)
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x_original = np.random.rand(count).astype(np.float32)
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y_original = np.random.rand(count).astype(np.float32)
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z_original = np.random.rand(count).astype(np.float64) # should convert to float32
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map_to_tensors: OrderedDict[str, np.ndarray] = OrderedDict(
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[
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("colors", colors_original),
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("x", x_original),
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("y", y_original),
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("z", z_original),
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]
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)
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ExportGaussianSplat.write_ply(filename, count, map_to_tensors)
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# Read the PLY file
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pcd = o3d.t.io.read_point_cloud(filename)
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positions = pcd.point.positions.numpy()
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colors = pcd.point.colors.numpy()
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# Assertions
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# Check if the file exists and has the correct number of points
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assert len(positions) == count, "Mismatch in the number of points written and read."
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# Check colors
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np.testing.assert_array_equal(colors_original, colors[:, 0], "Colors do not match.")
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# Check x, y, and z coordinates with epsilon tollerence
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epsilon = 1e-5 # Adjust based on expected precision
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np.testing.assert_allclose(x_original, positions[:, 0], atol=epsilon, err_msg="X coordinates do not match.")
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np.testing.assert_allclose(y_original, positions[:, 1], atol=epsilon, err_msg="Y coordinates do not match.")
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np.testing.assert_allclose(
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z_original.astype(np.float32), positions[:, 2], atol=epsilon, err_msg="Z coordinates do not match."
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)
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def test_export_gaussian_splat_write_ply_mismatched_count(tmp_path: Path):
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filename = str(tmp_path / "test_export_gaussian_splat_write_ply_mismatched_count.ply")
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count = 10
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map_to_tensors: OrderedDict[str, np.ndarray] = OrderedDict(
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[
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("x", np.random.rand(count + 1).astype(np.float32)),
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("y", np.random.rand(count).astype(np.float32)),
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("z", np.random.rand(count - 1).astype(np.float32)),
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]
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)
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with pytest.raises(ValueError):
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ExportGaussianSplat.write_ply(filename, count, map_to_tensors)
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if __name__ == "__main__":
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# Run the test
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test_export_gaussian_splat_write_ply(Path("."))
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test_export_gaussian_splat_write_ply_mismatched_count(Path("."))
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