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32 lines
1.3 KiB
Python
32 lines
1.3 KiB
Python
"""Regression tests for OpenSfM camera intrinsics in ODM conversions."""
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import json
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from pathlib import Path
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import pytest
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from nerfstudio.process_data.odm_utils import cameras2nerfds
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@pytest.mark.parametrize(
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"camera, expected",
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[
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({"projection_type": "perspective", "focal": 0.5}, {"fl_x": 400, "cx": 399.5, "cy": 299.5}),
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({"projection_type": "brown", "focal": 0.5, "c_x": 0.1, "c_y": -0.05}, {"cx": 479.5, "cy": 259.5}),
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({"projection_type": "fisheye_opencv", "focal": 0.5, "k4": 0.004}, {"k4": 0.004}),
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({"projection_type": "spherical"}, {"fl_x": 400, "fl_y": 600, "cx": 400, "cy": 300}),
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],
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)
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def test_odm_intrinsics(tmp_path, camera, expected):
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cameras_path = tmp_path / "cameras.json"
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cameras_path.write_text(json.dumps({"camera": {"width": 800, "height": 600, **camera}}))
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reconstruction_path = tmp_path / "reconstruction.json"
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shot = {"rotation": [0, 0, 0], "translation": [0, 0, 0]}
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reconstruction_path.write_text(json.dumps([{"shots": {"sample.jpg": shot}}]))
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cameras2nerfds(
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{"sample": Path("sample.jpg")}, cameras_path, tmp_path / "shots.geojson", reconstruction_path, tmp_path
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)
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frame = json.loads((tmp_path / "transforms.json").read_text())["frames"][0]
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for key, value in expected.items():
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assert frame[key] == pytest.approx(value)
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