maskrcnn-benchmark安装及常见错误

Mask rcnn环境配置

　在安装好Anaconda之后可以配置Mask RCNN了。这里我用的是maskrcnn-benchmark，环境搭建相对简单。

1. 创建虚拟环境：

source activate
conda create -n MaskRCNN python=3
conda activate MaskRCNN

 完成后，可看到如下界面：

2. 安装各种依赖包：

conda install ipython
pip install ninja yacs cython matplotlib tqdm opencv-python

3. 安装PyTorch

　　PyTorch官网，根据自己的电脑配置选择，会出现对应命令。

conda install pytorch torchvision cudatoolkit=10.0 -c pytorch

　　这里可以测试一下torchvision是否安装成功。如果没有安装成功，则需要下载源码编译安装（别着急，后面有写）。

:~$ python
>>>>import torch
>>>>import torchvision

　　

4. 安装目录

export INSTALL_DIR=/data_1/software/pytorch/MaskRCNN　　//设置自己的安装目录
cd $INSTALL_DIR

　　

5. 安装torchvision（若之前未安装成功，执行此步骤；否则跳过即可）

git clone https://github.com/pytorch/vision.git
cd vision/
python setup.py install

　　

6. 安装pycocotools

git clone https://github.com/cocodataset/cocoapi.git
cd cocoapi/PythonAPI
python setup.py build_ext install

　　

 7. 安装apex

cd $INSTALL_DIR
git clone https://github.com/NVIDIA/apex.git
cd apex
python setup.py install --cuda_ext --cpp_ext

　　

8. 安装maskrcnn-benchmark

cd $INSTALL_DIR
git clone https://github.com/facebookresearch/maskrcnn-benchmark.git
cd maskrcnn-benchmark

## the following will install the lib with
## symbolic links, so that you can modify
## the files if you want and won't need to
## re-build it
python setup.py build develop

　　Bingo！^-^ ！

错误集锦

问题1：

(MaskRCNN) em@B-GUWEIXIN:/data_1/software/pytorch/MaskRCNN/cocoapi/PythonAPI$ python setup.py build_ext install
running build_ext
building 'pycocotools._mask' extension
gcc -pthread -B /home/em/.conda/envs/MaskRCNN/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/em/.conda/envs/MaskRCNN/lib/python3.6/site-packages/numpy/core/include -I../common -I/home/em/.conda/envs/MaskRCNN/include/python3.6m -c ../common/maskApi.c -o build/temp.linux-x86_64-3.6/../common/maskApi.o -Wno-cpp -Wno-unused-function -std=c99
../common/maskApi.c: In function ‘rleToBbox’:
../common/maskApi.c:141:31: warning: ‘xp’ may be used uninitialized in this function [-Wmaybe-uninitialized]
if(j%2==0) xp=x; else if(xp<x) { ys=0; ye=h-1; }
^
gcc -pthread -B /home/em/.conda/envs/MaskRCNN/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/em/.conda/envs/MaskRCNN/lib/python3.6/site-packages/numpy/core/include -I../common -I/home/em/.conda/envs/MaskRCNN/include/python3.6m -c pycocotools/_mask.c -o build/temp.linux-x86_64-3.6/pycocotools/_mask.o -Wno-cpp -Wno-unused-function -std=c99
gcc: error: pycocotools/_mask.c: 没有那个文件或目录
error: command 'gcc' failed with exit status 1

　解决方法：

　　手动用cython生成_mask.c

cd $MaskRCNN_Root/cocoapi/PythonAPI/pycocotools
cython _mask.pyx
cd ..
python setup.py build_ext install

　　

问题2：

em@B-GUWEIXIN:/data_1/software/pytorch/MaskRCNN/apex$ python setup.py install --cuda_ext --cpp_ext
torch.__version__ = 1.2.0.dev20190704
Traceback (most recent call last):
File "setup.py", line 64, in <module>
check_cuda_torch_binary_vs_bare_metal(torch.utils.cpp_extension.CUDA_HOME)
File "setup.py", line 37, in check_cuda_torch_binary_vs_bare_metal
raw_output = subprocess.check_output([cuda_dir + "/bin/nvcc", "-V"], universal_newlines=True)
File "/home/em/.conda/envs/MaskRCNN/lib/python3.6/subprocess.py", line 336, in check_output
**kwargs).stdout
File "/home/em/.conda/envs/MaskRCNN/lib/python3.6/subprocess.py", line 403, in run
with Popen(*popenargs, **kwargs) as process:
File "/home/em/.conda/envs/MaskRCNN/lib/python3.6/subprocess.py", line 709, in __init__
restore_signals, start_new_session)
File "/home/em/.conda/envs/MaskRCNN/lib/python3.6/subprocess.py", line 1344, in _execute_child
raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: ':/usr/local/cuda-9.0/bin/nvcc': ':/usr/local/cuda-9.0/bin/nvcc'

　　

提示找不到 nvcc, 但是输入 nvcc --version, 却可以正常显示.

解决方法：

　　修改环境变量配置

sudo ~/.bashrc
export CUDA_HOME=$CUDA_HOME:/usr/local/cuda
# 将上面的语句修改成:
export CUDA_HOME=/usr/local/cuda:$CUDA_HOME
source ~/.bashrc

　　打开新终端，在安装目录下执行重新安装

$ python setup.py install --cuda_ext --cpp_ext

　　

问题3：

(MaskRCNN) em@B-GUWEIXIN:/data_1/software/pytorch/MaskRCNN/maskrcnn-benchmark/demo$ python webcam.py 
Traceback (most recent call last):
File "webcam.py", line 6, in <module>
from predictor import COCODemo
File "/data_1/software/pytorch/MaskRCNN/maskrcnn-benchmark/demo/predictor.py", line 4, in <module>
from torchvision import transforms as T
File "/home/em/.conda/envs/MaskRCNN/lib/python3.6/site-packages/torchvision/__init__.py", line 1, in <module>
from torchvision import models
File "/home/em/.conda/envs/MaskRCNN/lib/python3.6/site-packages/torchvision/models/__init__.py", line 11, in <module>
from . import detection
File "/home/em/.conda/envs/MaskRCNN/lib/python3.6/site-packages/torchvision/models/detection/__init__.py", line 1, in <module>
from .faster_rcnn import *
File "/home/em/.conda/envs/MaskRCNN/lib/python3.6/site-packages/torchvision/models/detection/faster_rcnn.py", line 7, in <module>
from torchvision.ops import misc as misc_nn_ops
File "/home/em/.conda/envs/MaskRCNN/lib/python3.6/site-packages/torchvision/ops/__init__.py", line 1, in <module>
from .boxes import nms, box_iou
File "/home/em/.conda/envs/MaskRCNN/lib/python3.6/site-packages/torchvision/ops/boxes.py", line 2, in <module>
from torchvision import _C
ImportError: /home/em/.conda/envs/MaskRCNN/lib/python3.6/site-packages/torchvision/_C.cpython-36m-x86_64-linux-gnu.so: undefined symbol: _ZN2at7getTypeERKNS_6TensorE

　　

解决方法：

　　这个问题就是torchvision没有安好，就通过源码安装就可以啦，详见上述mask rcnn环境配置的第五条。

问题4：

　　在vision目录下python->import torchvision没问题，换个目录就报错。

解决方法：
　　将vision下的torchvision和torchvision.egg-info文件夹 复制到/.conda/envs/MaskRCNN/lib/python3.6/site-packages/下面即可，删除原来的。