Comments (2)
Hi @KnightOfTheMoonlight thanks for using the code.
You need to use the pytorch_points version reference in the submodule, which contains these two functions.
To do that, make sure that you clone the neural cage repo with --recursive
option, i.e.
git clone --recursive https://github.com/yifita/deep_cage.git
from deep_cage.
hello, I am interesting in this code, and want to use it to help my research project.
But I found the same error . There are no faiss_knn or group_knn function in the operations.py script.
I use --recursive
to download but :
Error downloading object: data/processed_shapenetseg/test_Chair_100_2500.pkl (9554bc7): Smudge error: Error downloading data/processed_shapenetseg/test_
Chair_100_2500.pkl (9554bc76b605d31575be0c007a18d132916af21799fb148fa551f6b919310bf4): batch response: This repository is over its data quota. Account r
esponsible for LFS bandwidth should purchase more data packs to restore access.
Errors logged to /data4/honghu/deep_cage/.git/lfs/logs/20210728T221331.090982032.log
Use git lfs logs last to view the log.
error: external filter 'git-lfs filter-process' failed
fatal: data/processed_shapenetseg/test_Chair_100_2500.pkl: smudge filter lfs failed
warning: Clone succeeded, but checkout failed.
You can inspect what was checked out with 'git status'
and retry with 'git restore --source=HEAD :/'
So I get pytorch_points
submodule by hand, download the .zip file. But there is no faiss_knn or group_knn function in script
from deep_cage.
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