, title = "Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions", booktitle = "European Conference on Computer Vision", year = 2020, } About Implementation of Sparse-NCNet: "Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions" Resources Readme ...
export CXX=g++-7; python setup.py install# 测试 MinkowskiEnginepythonimportMinkowskiEngineasME# 改用源码编译faiss-gpu,用conda安装没跑成功git clone https://github.com/facebookresearch/faiss.git cd faiss LDFLAGS=-L/home/jiajie/anaconda3/envs/sparsencnet-test/lib/ ./configure --with-cuda=/usr/...
conda activate sparsencnet conda install numpy openblas conda install libstdcxx-ng # set environment variables for the compilation of MinkowskiEngine export CUDA_HOME=/your_path_to/cuda-10.1.243 export LD_LIBRARY_PATH="${CUDA_HOME}/lib64":"${CONDA_PREFIX}/lib":"/usr/lib/x86_64-linux-gnu/...