Datasets:

DOI:
License:
ToF-360 / file_organize.py
kanayamaHideaki's picture
First version without scripts.
d64d9c7
raw
history blame
4.65 kB
import os
import glob
from natsort import natsorted
import shutil
## TODO list 06/10
## 1. parking 4 re-make
## 2. DFKI 2 scene info bluring
## 3. hospital HHA normal name_strategy is wrong
## 4. parking lot is wrong
scene_name_idx = 6
output_base_folder = "/mnt/seagate/workspace/ToF360_NeurIPS2024/"
scene_base_paths = [#"/mnt/seagate/workspace/data/Thierry/221010_weingarten_hospital/floor_B_test/B_0th_picked_up/equi_viewpo/",
# "/mnt/seagate/workspace/data/Thierry/0602_DFKI4F/tripod/20230625_default_param_amp50/equi_viewpo_denoised/",
# "/mnt/seagate/workspace/data/Thierry/0605_DFKI_coffee_room/20231004_default_param_amp50/equi_viewpo_denoised/",
# "/mnt/seagate/workspace/data/Thierry/0520_DFKI_parking1/tripod/20230625_default_param_amp50/equi_viewpo_denoised/",
# "/mnt/seagate/workspace/data/Thierry/0713_DFKI_parking2/20230625_default_param_amp50/equi_viewpo_denoised",
# "/mnt/seagate/workspace/data/Thierry/0713_DFKI_parking3/20230625_default_param_amp50/equi_viewpo_denoised",
"/mnt/seagate/workspace/data/Thierry/0713_DFKI_parking4/20230625_default_param_amp50/equi_viewpo_denoised"]
modality_dict = {"HHA": "HHA/*_equi_hha.png",
"RGB": "RGB_png/*_equi_rgb.png",
# "RGB_mh_aligned": "layout/*_equi_rgb_aligned.png",
"XYZ": "XYZ/*_equi_XYZ.npy",
"annotation": "coco_annotation/raw_json/*_coco.json",
"depth": "depth/*_equi_depth.png",
# "layout": "layout/*_equi_layout.json",
"normal": "normal/*_equi_normal.png",
"pretty/instances": "coco_annotation/instances_pretty/*_instance_pretty.png",
# "pretty/layout_normals": "layout/output/*_equi_label_normal.png",
"pretty/semantics": "coco_annotation/semantics_pretty/*_semantic_pretty.png"
}
def import_file_list(scene_base_path, file_name_rule, scene_name_idx):
scene_name = scene_base_path.split("/")[scene_name_idx]
if scene_name == "221010_weingarten_hospital":
new_scene_name = "Hospital"
elif scene_name == "0602_DFKI4F":
new_scene_name = "Office_Room_2"
elif scene_name == "0605_DFKI_coffee_room":
new_scene_name = "Office_Room_1"
elif scene_name == "0520_DFKI_parking1" or "0713_DFKI_parking2" or "0713_DFKI_parking3" or "0713_DFKI_parking4":
new_scene_name = "Parking_Lot"
if new_scene_name == "Parking_Lot":
scene_base_paths_park = ["/mnt/seagate/workspace/data/Thierry/0520_DFKI_parking1/tripod/20230625_default_param_amp50/equi_viewpo_denoised/",
"/mnt/seagate/workspace/data/Thierry/0713_DFKI_parking2/20230625_default_param_amp50/equi_viewpo_denoised/",
"/mnt/seagate/workspace/data/Thierry/0713_DFKI_parking3/20230625_default_param_amp50/equi_viewpo_denoised/",
"/mnt/seagate/workspace/data/Thierry/0713_DFKI_parking4/20230625_default_param_amp50/equi_viewpo_denoised/"]
files = []
for scene_base_path_park in scene_base_paths_park:
files += natsorted(glob.glob(scene_base_path_park + file_name_rule))
else:
files = natsorted(glob.glob(scene_base_path + file_name_rule))
return files, new_scene_name
for scene_base_path in scene_base_paths:
for modality in modality_dict.keys():
input_files, new_scene_name = import_file_list(scene_base_path, modality_dict[modality], scene_name_idx)
os.makedirs(output_base_folder + new_scene_name + "/" + modality, exist_ok=True)
for input_file_idx, input_file in enumerate(input_files):
# if scene_name == "221010_weingarten_hospital":
# input_file_idx_0 = input_file.split(".")[0].split("/")[-1].split("_equi_")[0].split("_")[0]
# input_file_idx_1 = input_file.split(".")[0].split("/")[-1].split("_equi_")[0].split("_")[1]
# input_file_idx = int(input_file_idx_0) * int(input_file_idx_1)
# else:
# input_file_idx = input_file.split(".")[0].split("/")[-1].split("_equi_")[0]
input_file_format = input_file.split("/")[-1].split("_equi_")[-1]
output_file = f"{output_base_folder}{new_scene_name}/{modality}/{input_file_idx:03}_{new_scene_name}_equi_{input_file_format}"
print("input_file >> ", input_file)
print("output_file >> ", output_file)
print("--------------------------")
shutil.copy2(input_file, output_file)