model_type = cftrain.model_parameters['model_type']
output_type = cftrain.model_parameters['output_type']
batch_size = cftrain.model_parameters['batch_size']
epocs = cftrain.model_parameters['epocs']
split_ratio = cftrain.model_parameters['split_ratio']
optimizer = cftrain.model_parameters['optimizer']
loss_func = cftrain.model_parameters['loss_func']
regularizer_coeff = cftrain.model_parameters['regularizer_coeff']
activate_tensorboard = cftrain.model_parameters['activate_tensorboard']
print('Initializing the Assembly System and Measurement System....')
measurement_system = HexagonWlsScanner(data_type, application,
system_noise, part_type,
data_format)
vrm_system = VRMSimulationModel(assembly_type, assembly_kccs,
assembly_kpis, part_name, part_type,
voxel_dim, voxel_channels, point_dim,
aritifical_noise)
deploy_model = BayesDeployModel()
#Generate Paths
train_path = '../trained_models/' + part_type
model_path = train_path + '/model' + '/Bayes_trained_model_0'
logs_path = train_path + '/logs'
deploy_path = train_path + '/deploy/'
plots_path = train_path + '/plots/'
#Voxel Mapping File
get_data = GetTrainData()
print('Importing and Preprocessing Cloud-of-Point Data')
pathlib.Path(logs_path).mkdir(parents=True, exist_ok=True)
plots_path = train_path + '/plots'
pathlib.Path(plots_path).mkdir(parents=True, exist_ok=True)
deployment_path = train_path + '/deploy'
pathlib.Path(deployment_path).mkdir(parents=True, exist_ok=True)
#Objects of Measurement System, Assembly System, Get Inference Data
print('Initializing the Assembly System and Measurement System....')
measurement_system = HexagonWlsScanner(data_type, application,
system_noise, part_type,
data_format)
vrm_system = VRMSimulationModel(assembly_type, assembly_kccs,
assembly_kpis, part_name, part_type,
voxel_dim, voxel_channels, point_dim,
aritifical_noise)
get_data = GetTrainData()
kcc_sublist = cftrain.encode_decode_params['kcc_sublist']
#Check for KCC sub-listing
if (kcc_sublist != 0):
output_dimension = len(kcc_sublist)
else:
output_dimension = assembly_kccs
#print(input_conv_data.shape,kcc_subset_dump.shape)
print('Building Unet Model')
output_dimension = assembly_kccs