Namespaces | Variables
icp.py File Reference

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Namespaces

 icp
 

Variables

 icp.cloud_dimension = ref.getEuclideanDim()
 
string icp.complete_file_name = f"{output_base_directory + test_base}_{output_base_file}_complete_transfo.txt"
 
string icp.config_file = "../data/default.yaml"
 
 icp.data = DP(DP.load('../data/car_cloud401.csv'))
 
 icp.data_out = DP(initialized_data)
 
 icp.DP = PM.DataPoints
 
 icp.icp = PM.ICP()
 
string icp.icp_file_name = f"{output_base_directory + test_base}_{output_base_file}_icp.transfo.txt"
 
string icp.init_file_name = f"{output_base_directory + test_base}_{output_base_file}_init_transfo.txt"
 
string icp.init_rotation = "1,0,0;0,1,0;0,0,1" if is_3D else "1,0;0,1"
 
 icp.init_transfo = np.matmul(translation, rotation)
 
string icp.init_translation = "0,0,0" if is_3D else "0,0"
 
 icp.initialized_data = rigid_trans.compute(data, init_transfo)
 
bool icp.is_3D = True
 
bool icp.is_transfo_saved = False
 
bool icp.is_verbose = True
 
string icp.output_base_directory = "tests/icp/"
 
string icp.output_base_file = "test"
 
 icp.PM = pm.PointMatcher
 
 icp.ref = DP(DP.load('../data/car_cloud400.csv'))
 
 icp.rigid_trans = PM.get().TransformationRegistrar.create("RigidTransformation")
 
 icp.rotation = parse_rotation(init_rotation, cloud_dimension)
 
 icp.T = icp(initialized_data, ref)
 
string icp.test_base = "3D"
 
 icp.translation = parse_translation(init_translation, cloud_dimension)
 


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