feat(calibration): robust depth refinement pipeline with diagnostics and benchmarking
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import numpy as np
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import pyzed.sl as sl
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from unittest.mock import MagicMock
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from aruco.svo_sync import SVOReader
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def test_retrieve_depth_unit_guard():
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# Setup SVOReader with depth enabled
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reader = SVOReader([], depth_mode=sl.DEPTH_MODE.ULTRA)
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# Mock Camera
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mock_cam = MagicMock(spec=sl.Camera)
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# Mock depth data (e.g., 2.0 meters)
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depth_data = np.full((100, 100), 2.0, dtype=np.float32)
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mock_mat = MagicMock(spec=sl.Mat)
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mock_mat.get_data.return_value = depth_data
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# Mock retrieve_measure to "fill" the mat
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mock_cam.retrieve_measure.return_value = sl.ERROR_CODE.SUCCESS
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# Case 1: Units are METER -> Should NOT divide by 1000
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mock_init_params_meter = MagicMock(spec=sl.InitParameters)
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mock_init_params_meter.coordinate_units = sl.UNIT.METER
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mock_cam.get_init_parameters.return_value = mock_init_params_meter
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# We need to patch sl.Mat in the test or just rely on the fact that
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# _retrieve_depth creates a new sl.Mat() and calls get_data() on it.
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# Since we can't easily mock the sl.Mat() call inside the method without patching,
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# let's use a slightly different approach: mock the sl.Mat class itself.
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with MagicMock() as mock_mat_class:
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from aruco import svo_sync
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original_mat = svo_sync.sl.Mat
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svo_sync.sl.Mat = mock_mat_class
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mock_mat_instance = mock_mat_class.return_value
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mock_mat_instance.get_data.return_value = depth_data
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# Test METER path
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depth_meter = reader._retrieve_depth(mock_cam)
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assert depth_meter is not None
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assert np.allclose(depth_meter, 2.0)
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# Case 2: Units are MILLIMETER -> Should divide by 1000
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mock_init_params_mm = MagicMock(spec=sl.InitParameters)
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mock_init_params_mm.coordinate_units = sl.UNIT.MILLIMETER
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mock_cam.get_init_parameters.return_value = mock_init_params_mm
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depth_mm = reader._retrieve_depth(mock_cam)
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assert depth_mm is not None
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assert np.allclose(depth_mm, 0.002)
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# Restore original sl.Mat
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svo_sync.sl.Mat = original_mat
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if __name__ == "__main__":
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test_retrieve_depth_unit_guard()
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