Comments (10)
@zhangyanan0306
Sorry, I cannot reproduce your error.
In addition, I didn't import io
in lmdb_serializer.py
.
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You need to install lmdb
and tensorpack
before running the script.
pip install lmdb tensorpack
from grnet.
You need to install
lmdb
andtensorpack
before running the script.pip install lmdb tensorpack
One of your files is named io.py ,in ‘/utils/ io.py . Are you sure it works? Does this name not conflict with the IO module in Python?
After rename io.py another name, the IO error is no longer prompted.
But there is another error as follows:
It seems that GLIBC_2.27 is not supported in Ubuntu server 16.04.
You're using 18.04? What can I do to make it work on my 16.04.
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Actually, I'm using Arch Linux.
Maybe you can try a lower version of open3d?
I'll upload a processed ShapeNet dataset on Google Drive later.
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One of your files is named io.py ,in ‘/utils/ io.py . Are you sure it works? Does this name not conflict with the IO module in Python?
After rename io.py another name, the IO error is no longer prompted.
But I didn't import IO in this file. Please tell me why io.py
appears in the stack trace?
from grnet.
One of your files is named io.py ,in ‘/utils/ io.py . Are you sure it works? Does this name not conflict with the IO module in Python?
After rename io.py another name, the IO error is no longer prompted.But I didn't import IO in this file. Please tell me why
io.py
appears in the stack trace?
open3d.io.write_point_cloud(os.path.join(partial_output_folder, '%02d.pcd' % idx), p)
open3d.io.write_point_cloud(os.path.join(complete_output_folder, '%s.pcd' % model_id), p)
Is it caused here?
He mistakenly gave priority to finding /utils/io.py?
from grnet.
I don't think so.
Are you using VS Code or PyCharm?
Try to run it in the Terminal.
Please refer to
- https://stackoverflow.com/questions/26569828/pycharm-py-initialize-cant-initialize-sys-standard-streams
- https://python-forum.io/Thread-Fatal-Python-error-init-sys-streams-can-t-initialize-sys-standard-streams-Attribute
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I don't think so.
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You can now download the processed dataset from here.
from grnet.
You can now download the processed dataset from here.
Thank you very much!
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