test_data_association_metrics.TestDataAssociationMetrics Class Reference

Inheritance diagram for test_data_association_metrics.TestDataAssociationMetrics:

Collaboration diagram for test_data_association_metrics.TestDataAssociationMetrics:

Public Member Functions
	setUp (self)
	test_get_average_difference1 (self)
	test_get_average_difference2 (self)
	test_get_average_difference3 (self)
	test_get_mean_squared_error (self)
	test_get_inter_cones_distance (self)
	test_get_inter_cones_distance2 (self)
	test_get_false_positives (self)
	test_get_false_positives2 (self)
	test_get_duplicates (self)
	test_get_duplicates2 (self)
	test_adjacency_matrix (self)
	test_adjacency_matrix2 (self)

Public Attributes
	output
	ground_truth

Detailed Description

Test case for the data association methods of the Evaluator class.

Definition at line 14 of file test_data_association_metrics.py.

Member Function Documentation

setUp()

test_data_association_metrics.TestDataAssociationMetrics.setUp

(

self

)

Set up the test environment by initializing output and ground truth arrays.

Definition at line 19 of file test_data_association_metrics.py.

test_adjacency_matrix()

test_data_association_metrics.TestDataAssociationMetrics.test_adjacency_matrix

(

self

)

Test the build_adjacency_matrix function with a subarray of the ground truth array.
Expects an adjacency matrix calculated based on pairwise distances.

Definition at line 126 of file test_data_association_metrics.py.

test_adjacency_matrix2()

test_data_association_metrics.TestDataAssociationMetrics.test_adjacency_matrix2

(

self

)

Test the build_adjacency_matrix function with a different subarray of the ground truth array.
Expects an adjacency matrix calculated for a different subset of cones.

Definition at line 139 of file test_data_association_metrics.py.

test_get_average_difference1()

test_data_association_metrics.TestDataAssociationMetrics.test_get_average_difference1

(

self

)

Test the get_average_difference function when both arrays are non-empty.
Expects a correct average difference based on manually calculated values.

Definition at line 39 of file test_data_association_metrics.py.

test_get_average_difference2()

test_data_association_metrics.TestDataAssociationMetrics.test_get_average_difference2

(

self

)

Test the get_average_difference function when the output array is empty.
Expects infinity as the return value.

Definition at line 47 of file test_data_association_metrics.py.

test_get_average_difference3()

test_data_association_metrics.TestDataAssociationMetrics.test_get_average_difference3

(

self

)

Test the get_average_difference function when the ground truth array is empty.
Expects a ValueError due to incompatible data.

Definition at line 55 of file test_data_association_metrics.py.

test_get_duplicates()

test_data_association_metrics.TestDataAssociationMetrics.test_get_duplicates

(

self

)

Test the get_duplicates function with a threshold of 0.01.
Expects no duplicates since the output array does not contain any within this threshold.

Definition at line 107 of file test_data_association_metrics.py.

test_get_duplicates2()

test_data_association_metrics.TestDataAssociationMetrics.test_get_duplicates2

(

self

)

Test the get_duplicates function with a threshold of 1.0.
Expects 1 duplicate since the ground truth array contains a close match within this threshold.

Definition at line 116 of file test_data_association_metrics.py.

test_get_false_positives()

test_data_association_metrics.TestDataAssociationMetrics.test_get_false_positives

(

self

)

Test the get_false_positives function with a threshold of 1.0.
Expects the number of false positives based on the given threshold and arrays.

Definition at line 87 of file test_data_association_metrics.py.

test_get_false_positives2()

test_data_association_metrics.TestDataAssociationMetrics.test_get_false_positives2

(

self

)

Test the get_false_positives function with arrays swapped and a threshold of 1.0.
Expects a different number of false positives when the arrays are swapped.

Definition at line 96 of file test_data_association_metrics.py.

test_get_inter_cones_distance()

test_data_association_metrics.TestDataAssociationMetrics.test_get_inter_cones_distance

(

self

)

Test the get_inter_cones_distance function for a non-empty output array.
Expects a correct average inter-cone distance based on the output array.

Definition at line 71 of file test_data_association_metrics.py.

test_get_inter_cones_distance2()

test_data_association_metrics.TestDataAssociationMetrics.test_get_inter_cones_distance2

(

self

)

Test the get_inter_cones_distance function for an empty output array.
Expects a zero return value since there are no cones.

Definition at line 79 of file test_data_association_metrics.py.

test_get_mean_squared_error()

test_data_association_metrics.TestDataAssociationMetrics.test_get_mean_squared_error

(

self

)

Test the get_mean_squared_difference function with valid output and ground truth arrays.
Expects a mean squared difference close to the manually calculated value.

Definition at line 63 of file test_data_association_metrics.py.

Member Data Documentation

ground_truth

test_data_association_metrics.TestDataAssociationMetrics.ground_truth

Definition at line 29 of file test_data_association_metrics.py.

output

test_data_association_metrics.TestDataAssociationMetrics.output

Definition at line 23 of file test_data_association_metrics.py.

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The documentation for this class was generated from the following file:

• src/evaluator/test/test_data_association_metrics.py