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collect_indoor3d_data.py
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collect_indoor3d_data.py
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import argparse
import mmcv
from indoor3d_util import export
from os import path as osp
parser = argparse.ArgumentParser()
parser.add_argument(
'--output-folder',
default='./s3dis_data',
help='output folder of the result.')
parser.add_argument(
'--data-dir',
default='Stanford3dDataset_v1.2_Aligned_Version',
help='s3dis data directory.')
parser.add_argument(
'--ann-file',
default='meta_data/anno_paths.txt',
help='The path of the file that stores the annotation names.')
args = parser.parse_args()
anno_paths = [line.rstrip() for line in open(args.ann_file)]
anno_paths = [osp.join(args.data_dir, p) for p in anno_paths]
output_folder = args.output_folder
mmcv.mkdir_or_exist(output_folder)
# Note: there is an extra character in the v1.2 data in Area_5/hallway_6.
# It's fixed manually here.
# Refer to https://github.com/AnTao97/dgcnn.pytorch/blob/843abe82dd731eb51a4b3f70632c2ed3c60560e9/prepare_data/collect_indoor3d_data.py#L18 # noqa
revise_file = osp.join(args.data_dir,
'Area_5/hallway_6/Annotations/ceiling_1.txt')
with open(revise_file, 'r') as f:
data = f.read()
# replace that extra character with blank space to separate data
data = data[:5545347] + ' ' + data[5545348:]
with open(revise_file, 'w') as f:
f.write(data)
for anno_path in anno_paths:
print(f'Exporting data from annotation file: {anno_path}')
elements = anno_path.split('/')
out_filename = \
elements[-3] + '_' + elements[-2] # Area_1_hallway_1
out_filename = osp.join(output_folder, out_filename)
if osp.isfile(f'{out_filename}_point.npy'):
print('File already exists. skipping.')
continue
export(anno_path, out_filename)