From d0ce0a6b7796a6de111a692a6165fab558b26ca5 Mon Sep 17 00:00:00 2001 From: SVivdich02 Date: Thu, 30 May 2024 10:22:30 +0300 Subject: [PATCH] refactoring experiment files --- ...ut0_sem_voxel_offset0_T0l03_hdbscan_50.csv | 1036 ----------------- .../main_kitti_processing_hdbscan_voxel.py | 12 +- .../main_kitti_processing_metrics_hdbscan.py | 10 +- experiment/main_calc_metrics_by_csv.py | 2 +- experiment/main_kitti_processing.py | 4 +- experiment/main_kitti_processing_metrics.py | 10 +- 6 files changed, 15 insertions(+), 1059 deletions(-) delete mode 100644 experiment/hdbscan/experiment_1004_4_without0_sem_voxel_offset0_T0l03_hdbscan_50.csv diff --git a/experiment/hdbscan/experiment_1004_4_without0_sem_voxel_offset0_T0l03_hdbscan_50.csv b/experiment/hdbscan/experiment_1004_4_without0_sem_voxel_offset0_T0l03_hdbscan_50.csv deleted file mode 100644 index cbab34d..0000000 --- a/experiment/hdbscan/experiment_1004_4_without0_sem_voxel_offset0_T0l03_hdbscan_50.csv +++ /dev/null @@ -1,1036 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"experiment_bin/start{}_end{}.pickle".format(start_index, end_index) with open(file_name, "rb") as file: - data = pickle.load(file) + data = pickle.load(file) # prepared dense cloud pcd_hdbscan_voxel_down_points = np.asarray(data[2]["voxel_pcd_original_points"]) pcd_hdbscan_voxel_down = o3d.geometry.PointCloud() @@ -62,9 +58,9 @@ def process_kitti_hdbscan(from_num, to_num): result_tuple = segment_pcds_by_hdbscan(start_index, end_index) - file_name = "experiment_bin_0704_4_sem_voxel_offset0_T0l03_hdbscan/start{}_end{}.pickle".format( + file_name = "experiment_bin_hdbscan/start{}_end{}.pickle".format( start_index, end_index - ) + ) # hdbscan results new_file = open(file_name, "w") new_file.close() diff --git a/experiment/hdbscan/main_kitti_processing_metrics_hdbscan.py b/experiment/hdbscan/main_kitti_processing_metrics_hdbscan.py index 40cbfde..f3bdf2d 100644 --- a/experiment/hdbscan/main_kitti_processing_metrics_hdbscan.py +++ b/experiment/hdbscan/main_kitti_processing_metrics_hdbscan.py @@ -81,7 +81,7 @@ def main(): from_num = 0 to_num = 4540 - instance_thresholds = [5, 20, 30, 50] + instance_thresholds = [30, 50] for instance_threshold in instance_thresholds: print("Start to process instance_threshold={}".format(instance_threshold)) @@ -93,7 +93,7 @@ def main(): start_index = current_from_num end_index = start_index + 4 - file_name = "experiment_bin_0704_4_sem_voxel_offset0_T0l03_hdbscan/start{}_end{}.pickle".format( + file_name = "experiment_bin_hdbscan/start{}_end{}.pickle".format( start_index, end_index ) @@ -106,7 +106,7 @@ def main(): if ( inst_label_array_for_clustering.sum() == 0 - ): # в облаке нет инстансов => пропускаем + ): # there are no instances in the cloud => skip skipped += 1 print( "start_index={}, end_index={} skip".format(start_index, end_index) @@ -139,9 +139,7 @@ def main(): pred_labels_unique.discard(0) with open( - "experiment_1004_4_without0_sem_voxel_offset0_T0l03_hdbscan_{}.csv".format( - instance_threshold - ), + "experiment_hdbscan_{}.csv".format(instance_threshold), "a", newline="", ) as file: diff --git a/experiment/main_calc_metrics_by_csv.py b/experiment/main_calc_metrics_by_csv.py index 2c7d855..49138be 100644 --- a/experiment/main_calc_metrics_by_csv.py +++ b/experiment/main_calc_metrics_by_csv.py @@ -65,7 +65,7 @@ def calculate_metrics(file_name): def main(): - calculate_metrics("experiment_2_a5b5_sem_voxel_offset0_T0l025_50.csv") + calculate_metrics("experiment_hdbscan_50.csv") if __name__ == "__main__": diff --git a/experiment/main_kitti_processing.py b/experiment/main_kitti_processing.py index 9d358ba..dede9d5 100644 --- a/experiment/main_kitti_processing.py +++ b/experiment/main_kitti_processing.py @@ -197,7 +197,7 @@ def process_kitti( result_tuple = segment_pcds(config) file_name = ( - "experiment_2_a5b5_sem_voxel_offset0_T0l025/start{}_end{}.pickle".format( + "experiment_bin/start{}_end{}.pickle".format( config.start_index, config.end_index ) ) @@ -217,7 +217,7 @@ def main(): alpha_physical_distance = 5 beta_instance_distance = 5 - T_normalized_cut = 0.025 + T_normalized_cut = 0.02 process_kitti( start_pcd_num, diff --git a/experiment/main_kitti_processing_metrics.py b/experiment/main_kitti_processing_metrics.py index 029ca88..a44c11f 100644 --- a/experiment/main_kitti_processing_metrics.py +++ b/experiment/main_kitti_processing_metrics.py @@ -61,7 +61,7 @@ def main(): from_num = 0 to_num = 4540 - instance_thresholds = [5, 20, 30, 50] + instance_thresholds = [30, 50] for instance_threshold in instance_thresholds: print("Start to process instance_threshold={}".format(instance_threshold)) @@ -73,7 +73,7 @@ def main(): start_index = current_from_num end_index = start_index + 4 - file_name = "experiment_2_a5b5_sem_voxel_offset0_T0l025/start{}_end{}.pickle".format( + file_name = "experiment_bin/start{}_end{}.pickle".format( start_index, end_index ) @@ -86,7 +86,7 @@ def main(): if ( inst_label_array_for_clustering.sum() == 0 - ): # в облаке нет инстансов => пропускаем + ): # there are no instances in the cloud => skip skipped += 1 print( "start_index={}, end_index={} skip".format(start_index, end_index) @@ -115,9 +115,7 @@ def main(): pred_labels_unique.discard(0) with open( - "experiment_2_a5b5_sem_voxel_offset0_T0l025_{}.csv".format( - instance_threshold - ), + "experiment_{}.csv".format(instance_threshold), "a", newline="", ) as file: