文章目录
- 1. 切换linux的镜像
- 2. 安装gcc
- 3. 查看显卡驱动
- 4. 安装gcc版本
- 5. wsl安装cuda 10.1
- 6. 新建虚拟环境
- 8. 安装依赖包
- 9. 运行代码错误
- 运行的所有历史命令如下
WSL使用Ubuntu 20.04版本运行py-bottom-up-attention的记录，及其可能错误的解决方法
github代码地址：
git clone https://github.com/airsplay/py-bottom-up-attention.git
环境：
- wsl Ubuntu 20.04
- 显卡：GTX 1660
- gcc 8或者9应该都可以
- 显卡驱动，现在win端和wsl是共用的，win装过了，wsl可以用，不需要安装驱动
- cuda 10.1
- python 3.7
- 依赖版本：opencv-python== 4.8.1.78 、setuptools== 59.6.0
1. 切换linux的镜像
将wsl的默认Ubuntu镜像修改为阿里镜像，可以使速度下载得到很大提升。
打开镜像list文件，如下命令，然后使用ggdG删除当前文件中的内容。
sudo vim /etc/apt/sources.list
找到阿里云的镜像，直接复制过来，替换掉source.list的内容。
deb http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse
然后更新软件列表：
sudo apt-get update
sudo apt-get upgrade
2. 安装gcc
首先查看gcc的版本，使用命令gcc -v查看，如下图所示：
(base) wjx@wang:~$ gcc -v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/9/lto-wrapper
OFFLOAD_TARGET_NAMES=nvptx-none:hsa
OFFLOAD_TARGET_DEFAULT=1
Target: x86_64-linux-gnu
Configured with: ../src/configure -v --with-pkgversion='Ubuntu 9.4.0-1ubuntu1~20.04.3' --with-bugurl=file:///usr/share/doc/gcc-9/README.Bugs --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --prefix=/usr --with-gcc-major-version-only --program-suffix=-9 --program-prefix=x86_64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-vtable-verify --enable-plugin --enable-default-pie --with-system-zlib --with-target-system-zlib=auto --enable-objc-gc=auto --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --enable-multilib --with-tune=generic --enable-offload-targets=nvptx-none=/build/gcc-9-05ho5U/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --without-cuda-driver --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu
Thread model: posix
gcc version 9.4.0 (Ubuntu 9.4.0-1ubuntu1~20.04.3)
3. 查看显卡驱动
然后查看wsl是否有显卡的驱动，命令nvidia-smi，输出如下所示，可以看到CUDA Version，表示支持最高的cuda版本是12.3，当然装低版本的cuda是没有问题的，是可以兼容的。
4. 安装gcc版本
我们可以安装gcc 8版本，使用命令 sudo apt-get install gcc-8，就可以成功安装，似乎gcc-9版本的也可以。
sudo apt-get install gcc-8
再次使用gcc -v查看是否显示对应的版本，应该会出现如下信息：
(base) wjx@wang:~$ gcc -v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/9/lto-wrapper
OFFLOAD_TARGET_NAMES=nvptx-none:hsa
OFFLOAD_TARGET_DEFAULT=1
Target: x86_64-linux-gnu
Configured with: ../src/configure -v --with-pkgversion='Ubuntu 9.4.0-1ubuntu1~20.04.3' --with-bugurl=file:///usr/share/doc/gcc-9/README.Bugs --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --prefix=/usr --with-gcc-major-version-only --program-suffix=-9 --program-prefix=x86_64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-vtable-verify --enable-plugin --enable-default-pie --with-system-zlib --with-target-system-zlib=auto --enable-objc-gc=auto --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --enable-multilib --with-tune=generic --enable-offload-targets=nvptx-none=/build/gcc-9-05ho5U/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --without-cuda-driver --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu
Thread model: posix
gcc version 9.4.0 (Ubuntu 9.4.0-1ubuntu1~20.04.3)
5. wsl安装cuda 10.1
安装太高的cuda似乎是不行的，需要低一点的版本
使用nvcc -V查看是否安装了cuda环境，如果是第一次安装wsl，应该是没有cuda的，需要安装，使用如下命令：
(base) wjx@wang:~$ sudo apt install nvidia-cuda-toolkit
安装完成之后，使用nvcc -V查看cuda版本，我是Ubuntu 20.04 、gcc 9，好像是自动安装了cuda10.1的版本，挺好的，这样子可以运行之前的老仓库内容。
(base) wjx@wang:~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
至此，nvidia驱动、gcc、cuda都已经安装好了，然后可以配置软件环境了，需要使用Miniconda，这个轻量化，占用空间小。
6. 新建虚拟环境
下载Miniconda，然后 bash Miniconda3-latest-Linux-x86_64.sh安装，安装到最后，是否初始化，选择yes，然后关闭wsl，重新进入，就可以激活conda环境，这时候用户前面就会显示base，代表是base环境。
conda新建环境就不说了，激活进入新建的环境，就可以配置依赖，之后运行程序了。
8. 安装依赖包
使用pip install -r requirments.txt安装依赖，因为该txt文件中有git+https://github.com/facebookresearch/fvcore.git，可能需要对应的上网环境才可以安装，否则可能报网络错误，例如 TSL、connect错误什么的。
如果出现了opencv-python的问题，那就是版本的问题，使用opencv-python==4.8.1.78这个版本即可。
再之后安装pip install ‘git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI’，这个也需要对应的网络环境，否则也会安装不上。
之后就是构建项目，是最容易出现问题的，使用命令python setup.py build develop，可能会出现很多错误。
如果出现如下错误：
subprocess.CalledProcessError: Command ‘[‘which’, ‘g++’]’ returned non-zero exit status 1.
就使用如下命令：
sudo apt-get install build-essential
如果出现了setuptools对应的问题，可以安装setuptools的59.6.0的版本：
pip install setuptools==59.6.0
如果安装setuptools之后还报错如下：
那就把下面几个也安装了，
pip install absl-py
pip install google-auth
pip install google-auth-oauthlib
pip install grpcio
之后再次build构建项目，应该就不会出现问题了。
9. 运行代码错误
~/py-bottom-up-attention/detectron2/engine/hooks.py in <module>
15
16 import detectron2.utils.comm as comm
---> 17 from detectron2.evaluation.testing import flatten_results_dict
18 from detectron2.utils.events import EventStorage, EventWriter
19
~/py-bottom-up-attention/detectron2/evaluation/__init__.py in <module>
1 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
----> 2 from .cityscapes_evaluation import CityscapesEvaluator
...
---> 80 from types import CellType # noqa: F401
81
82
ImportError: cannot import name 'CellType'
使用jupyter运行出现上述错误，需要更换python版本为3.7及以上，3.6会出现这个错误。
OpenCV(3.4.8) /io/opencv/modules/imgproc/src/color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor'
出现上述这个错误，看到很多博文说是有中文路径错误，实际上也有很大的可能是opencv-python版本的问题，可以使用pip install opencv-python==4.8.1.78该版本就会解决上述问题。
运行的所有历史命令如下
sudo vim /etc/apt/sources.list
sudo apt update
sudo apt upgrade
gcc -v
nvidia-smi
nvcc -v
sudo apt-get install gcc-8
nvcc -V
gcc -v
gcc --version
sudo apt-get install gcc-8
gcc-8 -v
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 100
gcc -v
dpkg -l | grep gcc
gcc -v
nvidia-smi
nvcc -v
sudo apt install nvidia-cuda-toolkit
nvcc -V
nvidia-smi
ls
gcc -v
g++ -v
cd /mnt/d/
ls
cd ubantu/
ls
bash Miniconda3-latest-Linux-x86_64.sh
conda create -n torch python=3.6 -y
conda activate torch
ls
pip list
git clone https://github.com/airsplay/py-bottom-up-attention.git
cd py-bottom-up-attention/
ls
pip install -r requirements.txt
pip install opencv-python==111
pip install opencv-python==4.0.0.21
pip install -r requirements.txt
pip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
python setup.py build develop
sudo apt-get install build-essential
conda activate torch
cd /mnt/d/
ls
cd
ls
cd py-bottom-up-attention/
python setup.py build develop
pip list
pip install setuptools==111
pip install setuptools==59.6.0
pip install absl-py
pip install google-auth
pip install google-auth-oauthlib
pip install grpcio
pip install setuptools==59.6.0
python setup.py build develop
code .
pip install jupyter
code .
jupyter notebook
pip install importlib
jupyter notebook
pip list
conda install jupyter notebook
conda activte torch15
conda activate torch15
pip install torch==1.5.1+cu101 torchvision==0.6.1+cu101 -f https://download.pytorch.org/whl/torch_stable.html
pip install opencv-python==4.0.0.21
pip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
gcc -v
conda activate torch
python
source activate torch
/home/wjx/miniconda3/envs/torch/bin/python /home/wjx/py-bottom-up-attention/test.py
pip list
ls
python setup.py build develop
/home/wjx/miniconda3/envs/torch/bin/python /home/wjx/py-bottom-up-attention/test.py
nvcc -v
nvcc -V
gcc -v
conda create -n torch15 pytyhon=3.6
conda create -n torch15 python=3.6
conda activate torch15
pip list
pip install -r requirements.txt
pip list
pip install torch==1.5.1+cu101 torchvision==0.6.1+cu101 -f https://download.pytorch.org/whl/torch_stable.html
pip install numpy cypython
pip install numpy cython
pip install opencv-python
source activate torch15
/home/wjx/miniconda3/envs/torch15/bin/python /home/wjx/py-bottom-up-attention/test.py
pip install IPython
source activate torch15
/home/wjx/miniconda3/envs/torch15/bin/python /home/wjx/py-bottom-up-attention/test.py
source activate py37
/home/wjx/miniconda3/envs/py37/bin/python /home/wjx/py-bottom-up-attention/test.py
pip install IPython
curl baidu.com
curl google.com
setss
source ~/.zshrc
conda activate torch15
pip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
vim ~/.zshrc
source .zshrc
setss
pip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
unsetss
pip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
cd py-bottom-up-attention/
ls
python setup.py build develop
pip install setuptools
pip install setuptools==111
pip install setuptools==59.6.0
pip install absl-py google-auth google-auth-oauthlib grpcio
python setup.py build develop
code .
pip install jupyter
jupyter notebook
pip install jupyter==111
pip install jupyter notebook==111
pip uninstall jupyter
python -m pip install jupyter
jupyter notebook
conda install jupyter notebook
jupyter notebook
code .
pip list
nvcc -V
pip install torch==1.5.1 torchvision==0.6.1
pip install torch==1.5.1+cpu torchvision==0.6.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install torch==1.5.0+cpu torchvision==0.6.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install torch==1.4.0+cpu torchvision==0.5.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
python
conda create -n py37 python=3.7
conda activate py37
pip install -r requirements.txt
code .
conda install jupyter notebook
conda activate torch
jupyter notebook
source activate py37
/home/wjx/miniconda3/envs/py37/bin/python /home/wjx/py-bottom-up-attention/test.py
python setup.py build develop
pip list
python setup.py build develop/home/wjx/miniconda3/envs/py37/bin/python /home/wjx/py-bottom-up-attention/test.py
source activate py37
/home/wjx/miniconda3/envs/py37/bin/python /home/wjx/py-bottom-up-attention/test.py
source activate torch
/home/wjx/miniconda3/envs/torch/bin/python /home/wjx/py-bottom-up-attention/test.py
source activate torch15
/home/wjx/miniconda3/envs/torch15/bin/python /home/wjx/py-bottom-up-attention/test.py
source activate py
/home/wjx/miniconda3/envs/py/bin/python /home/wjx/py-bottom-up-attention/test.py
python
source activate py
/home/wjx/miniconda3/envs/py/bin/python /home/wjx/py-bottom-up-attention/test.py
pip list
pip install cloudpickle=111
pip install cloudpickle==111
pip install cloudpickle==2.0.0
source activate py
/home/wjx/miniconda3/envs/py/bin/python /home/wjx/py-bottom-up-attention/test.py
pip install IPython
source activate py
/home/wjx/miniconda3/envs/py/bin/python /home/wjx/py-bottom-up-attention/test.py
cd data
ls
git clone https://github.com/peteanderson80/bottom-up-attention.git
source activate py
pip install opencv-python==11
pip list
pip install opencv-python==4.0.0.21
source activate py
pip install -U opencv-python==3.4.4.19
pip install -U opencv-python==311
pip install -U opencv-python==3.4.0.14
pip install -U opencv-python==3.4.9.31
source activate py
pip install opencv-python=3.4.2.17
pip install opencv-python==3.4.2.17
pip install opencv-python==3.4.2.18
pip install opencv-python==3.4.3.18
pwd
pip install opencv-python==3.4.4.19
source activate py
pip install opencv-python==3.4.5.20
