1、源码地址 https://github.com/ZHANGDONG-NJUST/FPT 2、环境安装 本人是在服务器上安装的，版本Ubuntu 18.04 conda创建虚拟环境 首先将源改为清华源
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/ conda config --set show_channel_urls yes创建环境
conda create -n fpt python=3.6激活环境
source activate fpt【删除环境】这一步以备不时之需
conda remove -n fpt --all安装pytorch、torchvision pytorch=0.4.0 torchvision>=0.2.0 python 3.6.11环境下
conda install pytorch==0.4.0 torchvision==0.2.1 cuda100 -c pytorch安装其余包 pip install cython pip install matplotlib pip install numpy pip install scipy pip install opencv-python pip install pyyaml pip install packaging pip install dropblock==0.1.0 pip install pycocotools pip install tensorboardX — for logging the losses in Tensorboard
Question： gcc: error: /home// /ns-vqa/scene_parse/mask_rcnn/lib/model/nms/src/nms_cuda.c: No such file or directory Solve: https://github.com/kexinyi/ns-vqa/issues/1 https://github.com/jwyang/faster-rcnn.pytorch/blob/master/lib/model/nms/src/nms_cuda.c 缺少这个文件就下载下来 Question： CompileError: command ‘gcc’ failed with exit status 1 Solve: http://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/ https://www.bbsmax.com/A/gGdX6NnQJ4/ https://github.com/jwyang/faster-rcnn.pytorch/issues/235
