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Processing: bildstein_station1_xyz_intensity_rgb
Num points: 29697591
Num points after 0-skip: 9476296
Traceback (most recent call last):
File "downsample.py", line 97, in
voxel_size,
File "downsample.py", line 49, in down_sample
sparse_pcd, cubics_ids = open3d.voxel_down_sample_and_trace( AttributeError: module 'open3d' has no attribute 'voxel_down_sample_and_trace'
Processing: bildstein_station1_xyz_intensity_rgb
Num points: 29697591
Num points after 0-skip: 9476296
Traceback (most recent call last):
File "downsample.py", line 100, in
voxel_size,
File "downsample.py", line 53, in down_sample
sparse_pcd, cubics_ids = dense_pcd.voxel_down_sample_and_trace(voxel_size, min_bound, max_bound, False) ValueError: too many values to unpack (expected 2)
it works, but I'm not sure were cubics_ids are stored. I know that sparse_pcd[0] is the down sampled point cloud, but I can't interpret sparse_pcd[1] and sparse_pcd[2].
The text was updated successfully, but these errors were encountered:
sparse_pcd, cubics_ids, some_list = open3d.geometry.PointCloud.voxel_down_sample_and_trace(pcd, voxel_size, min_bound, max_bound, approximate_class=False) this works for me
Processing: bildstein_station1_xyz_intensity_rgb
Num points: 29697591
Num points after 0-skip: 9476296
Traceback (most recent call last):
File "downsample.py", line 97, in
voxel_size,
File "downsample.py", line 49, in down_sample
sparse_pcd, cubics_ids = open3d.voxel_down_sample_and_trace(
AttributeError: module 'open3d' has no attribute 'voxel_down_sample_and_trace'
If I use
sparse_pcd, cubics_ids = dense_pcd.voxel_down_sample_and_trace(voxel_size, min_bound, max_bound, False)
then
Processing: bildstein_station1_xyz_intensity_rgb
Num points: 29697591
Num points after 0-skip: 9476296
Traceback (most recent call last):
File "downsample.py", line 100, in
voxel_size,
File "downsample.py", line 53, in down_sample
sparse_pcd, cubics_ids = dense_pcd.voxel_down_sample_and_trace(voxel_size, min_bound, max_bound, False)
ValueError: too many values to unpack (expected 2)
But if I use:
sparse_pcd = cubics_idsdense_pcd.voxel_down_sample_and_trace(voxel_size, min_bound, max_bound, False)
it works, but I'm not sure were cubics_ids are stored. I know that sparse_pcd[0] is the down sampled point cloud, but I can't interpret sparse_pcd[1] and sparse_pcd[2].
The text was updated successfully, but these errors were encountered: