Merge branch 'choose_int_downsample' into 'v3'
Choose a correlation resize factor rounded to an int See merge request openflexure/openflexure-microscope-server!541
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commit
aeb337f9d1
3 changed files with 47 additions and 3 deletions
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@ -431,3 +431,34 @@ def test_histo_workflow_settings_ui(histo_workflow, mocker):
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"equal_distances",
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]
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assert names == expected_names
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@pytest.mark.parametrize(
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("save_res", "expected_resize"),
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[
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((1400, 1400), 1 / 2),
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((1640, 1232), 1 / 2),
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((760, 750), 1 / 1),
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((1499, 1000), 1 / 2),
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((2250, 1800), 1 / 3),
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((700, 700), 1 / 1),
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],
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)
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def test_correlation_resize(histo_workflow, save_res, expected_resize):
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"""Test that scan_workflows chooses a suitable correlation_resize factor.
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correlation_resize is always a unit fraction (1/N, N integer) so that the
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downsampled image has an area roughly equal to TARGET_STITCHING_DIMENSION**2.
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This ensures stitching correlations are fast, robust, and avoid artefacts.
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The value is found by taking the image area (width * height), dividing by the
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target area, taking the square root, and rounding to the nearest integer N. Then
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correlation_resize = 1 / N.
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"""
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histo_workflow.save_resolution = save_res
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histo_workflow.overlap = 0.1
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settings = histo_workflow._get_stitching_settings_model()
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assert isinstance(settings, StitchingSettings)
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assert settings.correlation_resize == expected_resize
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assert 0 < settings.correlation_resize <= 1
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