Comments (8)
Area_6/copyRoom_1/copy_Room_1.txt needs to be moved to Area_6/copyRoom_1/copyRoom_1.txt
from superpoint_graph.
Thanks! Yeah, there's apparently a single unprintable character (non-breaking space in between -9.1 and a trailing 0) in hallway_2.txt that causes choking. Interestingly, using np.fromfile will load it fine, but numpy.loadtxt will not.
Using sed to remove unprintable characters will clean the data -
sed -i 's/[^[:print:]]//g' hallway_2.txt
from superpoint_graph.
Just going to post here any other data corruption issues I encounter, along with fix -
Area_5/hallway_6/Annotations,ceiling1.txt, line 180389 has a null byte instead of a space (I just cleaned it using a text editor, since most of those will show null bytes)
from superpoint_graph.
Applying the patch results in an error in Area_3/hallway_2/hallway_2.txt
ValueError: Some errors were detected ! Line #926337 (got 7 columns instead of 6)
The line after applying the batch is 19.302 -9.1 0 1.785 146 137 106
where it should be only 6 columns.
The removed corrupted character was supposedly a number. So needed to make third column into -9.160 in keeping with the pattern in this column
from superpoint_graph.
It doesn't appear to. Pulled the latest, cleared prior clouds, features, and superpoint_graphs output directories, undid the try/except I stuck in, re-ran. THe changed code did indeed address the first issue, but I got the second error again, same area (Area 3).
from superpoint_graph.
Hi,
the first issue is the same as issue #25. It should now be fixed with the latest commit, let me know if it fixes the second bug as well.
loic
from superpoint_graph.
I remember a similar error. It could be due to either typos in the s3dis dataset or packet error during the downloading.
Check the xyz value you got from reading the file area3/hallway2, and find the nan value (with np.isnan and np.where). Once you found the faulty line in question check the txt in /data, there should be an unrecognized character. Fix it and run partition again.
from superpoint_graph.
Great, thanks for the tip. I'll add it to the doc soon.
from superpoint_graph.
Related Issues (20)
- cuda acceleration for partition HOT 4
- TypeError in 'NearestNeighbors(1, algorithm='kd_tree').fit(xyz)' HOT 2
- Inconsistent class_maps for s3dis HOT 2
- CUDA error when training for Semantic3D HOT 1
- the version of metrics HOT 2
- When making ply_c, fatal error: numpy/ndarrayobject.h: No such file or directory HOT 3
- How to control the number of superpoints in a room? HOT 6
- Segmentation fault (core dumped) HOT 2
- Running on Stanford3dDataset_v1.2_Aligned_Version, the error occurs. HOT 6
- CMake error HOT 1
- Which version of Pytorch is needed for this code? HOT 1
- ModuleNotFoundError: No module named 'torchnet' HOT 3
- RuntimeError: scan failed to synchronize: an illegal memory access was encountered HOT 2
- L0-cut pursuit partition algorithm HOT 3
- cupy_backends.cuda.api.driver.CUDADriverError: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered HOT 3
- About the number of superpoints HOT 2
- Overfitting soon after around 30 epochs HOT 13
- How to visualize SSP HOT 1
- ValueError: need at least one array to concatenate HOT 1
- Pretrained weight link
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