def test_get_properties_returns_only_requested_columns_that_exist(self):
matcher_nms_n = 10
matcher_nms_tau = 35
matcher_match_binsize = 16
matcher_match_radius = 155
matcher_match_disp_tolerance = 4
matcher_outlier_disp_tolerance = 3
matcher_outlier_flow_tolerance = 6
matcher_multi_stage = False
matcher_half_resolution = False
matcher_refinement = MatcherRefinement.SUBPIXEL
bucketing_max_features = 6
bucketing_bucket_width = 45
bucketing_bucket_height = 66
height = 0.8
pitch = 0.22
ransac_iters = 1444
inlier_threshold = 0.0006
motion_threshold = 78.4
subject = LibVisOMonoSystem(
matcher_nms_n=matcher_nms_n,
matcher_nms_tau=matcher_nms_tau,
matcher_match_binsize=matcher_match_binsize,
matcher_match_radius=matcher_match_radius,
matcher_match_disp_tolerance=matcher_match_disp_tolerance,
matcher_outlier_disp_tolerance=matcher_outlier_disp_tolerance,
matcher_outlier_flow_tolerance=matcher_outlier_flow_tolerance,
matcher_multi_stage=matcher_multi_stage,
matcher_half_resolution=matcher_half_resolution,
matcher_refinement=matcher_refinement,
bucketing_max_features=bucketing_max_features,
bucketing_bucket_width=bucketing_bucket_width,
bucketing_bucket_height=bucketing_bucket_height,
height=height,
pitch=pitch,
ransac_iters=ransac_iters,
inlier_threshold=inlier_threshold,
motion_threshold=motion_threshold
)
self.assertEqual({
'matcher_match_binsize': matcher_match_binsize,
'matcher_match_disp_tolerance': matcher_match_disp_tolerance,
'matcher_outlier_disp_tolerance': matcher_outlier_disp_tolerance,
'matcher_refinement': matcher_refinement,
'pitch': pitch,
}, subject.get_properties({
'matcher_match_binsize', 'matcher_match_disp_tolerance', 'matcher_outlier_disp_tolerance',
'not_a_column',
'matcher_refinement', 'pitch',
'also_not_a_column', 'sir_not_appearing_in_these_columns'
}))
def test_get_properties_returns_the_value_of_all_columns(self):
matcher_nms_n = 10
matcher_nms_tau = 35
matcher_match_binsize = 16
matcher_match_radius = 155
matcher_match_disp_tolerance = 4
matcher_outlier_disp_tolerance = 3
matcher_outlier_flow_tolerance = 6
matcher_multi_stage = False
matcher_half_resolution = False
matcher_refinement = MatcherRefinement.SUBPIXEL
bucketing_max_features = 6
bucketing_bucket_width = 45
bucketing_bucket_height = 66
height = 0.8
pitch = 0.22
ransac_iters = 1444
inlier_threshold = 0.0006
motion_threshold = 78.4
subject = LibVisOMonoSystem(
matcher_nms_n=matcher_nms_n,
matcher_nms_tau=matcher_nms_tau,
matcher_match_binsize=matcher_match_binsize,
matcher_match_radius=matcher_match_radius,
matcher_match_disp_tolerance=matcher_match_disp_tolerance,
matcher_outlier_disp_tolerance=matcher_outlier_disp_tolerance,
matcher_outlier_flow_tolerance=matcher_outlier_flow_tolerance,
matcher_multi_stage=matcher_multi_stage,
matcher_half_resolution=matcher_half_resolution,
matcher_refinement=matcher_refinement,
bucketing_max_features=bucketing_max_features,
bucketing_bucket_width=bucketing_bucket_width,
bucketing_bucket_height=bucketing_bucket_height,
height=height,
pitch=pitch,
ransac_iters=ransac_iters,
inlier_threshold=inlier_threshold,
motion_threshold=motion_threshold
)
properties = subject.get_properties()
for key, value in {
'seed': np.nan,
'in_width': np.nan,
'in_height': np.nan,
'in_fx': np.nan,
'in_fy': np.nan,
'in_cx': np.nan,
'in_cy': np.nan,
'matcher_nms_n': matcher_nms_n,
'matcher_nms_tau': matcher_nms_tau,
'matcher_match_binsize': matcher_match_binsize,
'matcher_match_radius': matcher_match_radius,
'matcher_match_disp_tolerance': matcher_match_disp_tolerance,
'matcher_outlier_disp_tolerance': matcher_outlier_disp_tolerance,
'matcher_outlier_flow_tolerance': matcher_outlier_flow_tolerance,
'matcher_multi_stage': matcher_multi_stage,
'matcher_half_resolution': matcher_half_resolution,
'matcher_refinement': matcher_refinement,
'bucketing_max_features': bucketing_max_features,
'bucketing_bucket_width': bucketing_bucket_width,
'bucketing_bucket_height': bucketing_bucket_height,
'height': height,
'pitch': pitch,
'ransac_iters': ransac_iters,
'inlier_threshold': inlier_threshold,
'motion_threshold': motion_threshold
}.items():
self.assertIn(key, properties)
if isinstance(value, float) and np.isnan(value):
self.assertTrue(np.isnan(properties[key]))
else:
self.assertEqual(value, properties[key])