Variables
	box = Generator.generateUniformlySampledBox(1.0, 2.0, 3.0, number_of_points, translation, rotation)

	circle = Generator.generateUniformlySampledCircle(1.0, number_of_points, translation, rotation)

	cylinder = Generator.generateUniformlySampledCylinder(1.0, 2.0, number_of_points, translation, rotation)

	data = DP(DP.load('../data/car_cloud401.csv'))

	DP = PM.DataPoints

	Generator = pm.PointCloudGenerator

bool	is_3D = True

int	number_of_points = 10000

string	output_base_directory = "tests/generator/"

	plane = Generator.generateUniformlySampledPlane(np.array([1.0, 2.0, 3.0]), number_of_points, translation, rotation)

	PM = pm.PointMatcher

	ref = DP(DP.load('../data/car_cloud400.csv'))

	rotation = np.array([1, 0, 0, 0], dtype=np.float32)

	sphere = Generator.generateUniformlySampledSphere(1.0, number_of_points, translation, rotation)

string	test_base = "3D"

	translation = np.array([[0], [0], [0]])

Variable Documentation

◆ box

point_cloud_generator.box = Generator.generateUniformlySampledBox(1.0, 2.0, 3.0, number_of_points, translation, rotation)

Definition at line 33 of file point_cloud_generator.py.

◆ circle

point_cloud_generator.circle = Generator.generateUniformlySampledCircle(1.0, number_of_points, translation, rotation)

Definition at line 34 of file point_cloud_generator.py.

◆ cylinder

point_cloud_generator.cylinder = Generator.generateUniformlySampledCylinder(1.0, 2.0, number_of_points, translation, rotation)

Definition at line 35 of file point_cloud_generator.py.

◆ data

point_cloud_generator.data = DP(DP.load('../data/car_cloud401.csv'))

Definition at line 26 of file point_cloud_generator.py.

◆ DP

point_cloud_generator.DP = PM.DataPoints

Definition at line 8 of file point_cloud_generator.py.

◆ Generator

point_cloud_generator.Generator = pm.PointCloudGenerator

Definition at line 9 of file point_cloud_generator.py.

◆ is_3D

bool point_cloud_generator.is_3D = True

Definition at line 21 of file point_cloud_generator.py.

◆ number_of_points

int point_cloud_generator.number_of_points = 10000

Definition at line 17 of file point_cloud_generator.py.

◆ output_base_directory

string point_cloud_generator.output_base_directory = "tests/generator/"

Definition at line 14 of file point_cloud_generator.py.

◆ plane

point_cloud_generator.plane = Generator.generateUniformlySampledPlane(np.array([1.0, 2.0, 3.0]), number_of_points, translation, rotation)

Definition at line 36 of file point_cloud_generator.py.

◆ PM

point_cloud_generator.PM = pm.PointMatcher

Definition at line 7 of file point_cloud_generator.py.

◆ ref

point_cloud_generator.ref = DP(DP.load('../data/car_cloud400.csv'))

Definition at line 25 of file point_cloud_generator.py.

◆ rotation

point_cloud_generator.rotation = np.array([1, 0, 0, 0], dtype=np.float32)

Definition at line 29 of file point_cloud_generator.py.

◆ sphere

point_cloud_generator.sphere = Generator.generateUniformlySampledSphere(1.0, number_of_points, translation, rotation)

Definition at line 37 of file point_cloud_generator.py.

◆ test_base

string point_cloud_generator.test_base = "3D"

Definition at line 27 of file point_cloud_generator.py.

◆ translation

point_cloud_generator.translation = np.array([[0], [0], [0]])

Definition at line 28 of file point_cloud_generator.py.

Variables