import numpy as np
import argparse
from point_cloud import PointCloud
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Write an example point cloud as TXT.')
parser.add_argument('output', type=str, help='TXT file for example point cloud.')
args = parser.parse_args()
point_cloud = PointCloud(np.random.random((100, 3)))
point_cloud.to_txt(args.output)
print('Wrote %s.' % args.output)
txt_directory = common.dirname(config, 'txt_gt_dir',
i) + '%d/' % k
utils.makedir(txt_directory)
for n in range(N):
point_cloud = PointCloud()
print('[Data] +')
for j in range(perm.shape[0]):
txt_file = txt_directories[perm[j]] + '/%d.txt' % n
print('[Data] | read ' + txt_file)
point_cloud_j = PointCloud.from_txt(txt_file)
point_cloud.points = np.concatenate(
(point_cloud.points, point_cloud_j.points), axis=0)
txt_file = txt_directory + '%d.txt' % n
point_cloud.to_txt(txt_file)
print('[Data] wrote ' + txt_file)
i_inputs = np.swapaxes(i_inputs, 0, 1)
i_space = np.swapaxes(i_space, 0, 1)
i_sdf_inputs = np.swapaxes(i_sdf_inputs, 0, 1)
i_tsdf_inputs = np.swapaxes(i_tsdf_inputs, 0, 1)
i_ltsdf_inputs = np.swapaxes(i_ltsdf_inputs, 0, 1)
print(i_inputs.shape)
print(i_space.shape)
print(i_sdf_inputs.shape)
print(i_tsdf_inputs.shape)
print(i_ltsdf_inputs.shape)
utils.write_hdf5(common.filename(config, 'input_file', '.h5', i),
