tensorboard_str = 'tensorboard' + '--logdir ' + logs_path
print('Visualize at Tensorboard using ', tensorboard_str)
print('Importing and Preprocessing Cloud-of-Point Data')
dataset = []
dataset.append(get_data.data_import(file_names_x, data_folder))
dataset.append(get_data.data_import(file_names_y, data_folder))
dataset.append(get_data.data_import(file_names_z, data_folder))
point_index = get_data.load_mapping_index(mapping_index)
kcc_dataset = get_data.data_import(kcc_files, kcc_folder)
input_conv_data, kcc_subset_dump, kpi_subset_dump = get_data.data_convert_voxel_mc(
vrm_system, dataset, point_index, kcc_dataset)
#Added Function to split KCCs to regression and classification
kcc_regression, kcc_classification = hy_util.split_kcc(kcc_subset_dump)
print('Building 3D CNN model')
output_dimension = assembly_kccs
dl_model_unet = Encode_Decode_Model(output_dimension)
model = dl_model_unet.resnet_3d_cnn_hybrid(voxel_dim, voxel_channels,
kcc_classification.shape[1])
print(model.summary())
#sys.exit()
print('Training 3D CNN model')
model_outputs = [kcc_regression, kcc_classification]
train_model = TrainModel(batch_size, epocs, split_ratio)
test_input_conv_data=test_input_conv_data[test_kpi_subset_dump,:,:,:,:]
#Test output files
deploy_output=1
if(deploy_output==1):
test_kcc_dataset=get_data.data_import(test_kcc_files,kcc_folder)
if(kcc_sublist!=0):
print("Sub-setting Process Parameters: ",kcc_sublist)
test_kcc_dataset=test_kcc_dataset[:,kcc_sublist]
else:
print("Using all Process Parameters")
test_kcc_subset_dump=test_kcc_subset_dump[test_kpi_subset_dump,:]
kcc_regression_test,kcc_classification_test=hy_util.split_kcc(test_kcc_subset_dump)
Y_out_test_list=[]
Y_out_test_list.append(kcc_regression_test)
Y_out_test_list.append(kcc_classification_test)
y_shape_error_test_list=[]
for encode_decode_construct in encode_decode_multi_output_construct:
#importing file names for model output
print("Importing output data for stage: ",encode_decode_construct)
test_output_file_names_x=encode_decode_construct['output_test_data_files_x']
test_output_file_names_y=encode_decode_construct['output_test_data_files_y']
test_output_file_names_z=encode_decode_construct['output_test_data_files_z']
test_output_dataset=[]
