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point_cloud_generator.py File Reference

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Namespaces

 point_cloud_generator
 

Variables

 point_cloud_generator.box = Generator.generateUniformlySampledBox(1.0, 2.0, 3.0, number_of_points, translation, rotation)
 
 point_cloud_generator.circle = Generator.generateUniformlySampledCircle(1.0, number_of_points, translation, rotation)
 
 point_cloud_generator.cylinder = Generator.generateUniformlySampledCylinder(1.0, 2.0, number_of_points, translation, rotation)
 
 point_cloud_generator.data = DP(DP.load('../data/car_cloud401.csv'))
 
 point_cloud_generator.DP = PM.DataPoints
 
 point_cloud_generator.Generator = pm.PointCloudGenerator
 
bool point_cloud_generator.is_3D = True
 
int point_cloud_generator.number_of_points = 10000
 
string point_cloud_generator.output_base_directory = "tests/generator/"
 
 point_cloud_generator.plane = Generator.generateUniformlySampledPlane(np.array([1.0, 2.0, 3.0]), number_of_points, translation, rotation)
 
 point_cloud_generator.PM = pm.PointMatcher
 
 point_cloud_generator.ref = DP(DP.load('../data/car_cloud400.csv'))
 
 point_cloud_generator.rotation = np.array([1, 0, 0, 0], dtype=np.float32)
 
 point_cloud_generator.sphere = Generator.generateUniformlySampledSphere(1.0, number_of_points, translation, rotation)
 
string point_cloud_generator.test_base = "3D"
 
 point_cloud_generator.translation = np.array([[0], [0], [0]])
 


libpointmatcher
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autogenerated on Mon Sep 16 2024 02:24:10