diff --git a/optimization_pipeline/tls.sh b/optimization_pipeline/tls.sh index 996c1fd826cc19598ee5e7858f550eb06efa567b..2e3a19a031dc8cc54051261c80875524b2045e3d 100755 --- a/optimization_pipeline/tls.sh +++ b/optimization_pipeline/tls.sh @@ -3,7 +3,7 @@ ############################ parameters ################################################# # General parameters CLEAR_INPUT_FOLDER=1 # 1: clear input folder, 0: not clear input folder -CONDA_ENV="pdal-env-1" # conda environment for running the pipeline +CONDA_ENV="pdal-env" # conda environment for running the pipeline # Tiling parameters data_folder="" # path to the folder containing the data @@ -201,8 +201,6 @@ for segmented_point_cloud_in_ply in $data_folder/results/segmented_point_clouds/ --writers.las.extra_dims=all done -python nibio_preprocessing/add_ground_to_inst_seg_folders.py --sem_seg_folder sample_playground/results/segmented_point_clouds/ --inst_seg_folder sample_playground/results/instance_segmented_point_clouds/ --output_folder sample_playground/instance_seg_with_ground --verbose - # create the instance segmented point clouds with ground folder mkdir -p $data_folder/results/instance_segmented_point_clouds_with_ground