关于mxnet-gpu-C++-ubuntu16.04编译与安装

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#mxnet配置与安装

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本文详细介绍了如何在Qt项目中配置并使用OpenCV和MXNet，包括必要的头文件和库路径设置，解决了编译过程中遇到的常见问题，如找不到特定头文件或链接库错误。同时提供了多个参考资料，帮助读者更好地理解和应用。

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Qt .pro文件相关设置

TEMPLATE = app
CONFIG += console c++11
CONFIG -= app_bundle
CONFIG -= qt

SOURCES += main.cpp

INCLUDEPATH += /usr/local/include/opencv \ #opencv头文件
               /usr/local/include/opencv2 \
               /usr/local/include \
               /home/nzf/nzf_workspace/software_package/mxnet/cpp-package/include \ #mxnet头文件
               /home/nzf/nzf_workspace/software_package/mxnet/include \
               /home/nzf/nzf_workspace/software_package/mxnet/3rdparty/tvm/nnvm/include/ \
               /home/nzf/nzf_workspace/software_package/mxnet/3rdparty/dmlc-core/include/ \
               /usr/local/cuda/include/ #cuda头文件

LIBS += -L/usr/local/lib/ /usr/local/lib/libopencv_*.so \ # opencv链接库
        -L/home/nzf/nzf_workspace/software_package/mxnet/lib/ -lmxnet \ # mxnet链接库
        -L/usr/local/cuda/lib64/ -lnvrtc /usr/local/cuda/lib64/libcu*.so # cuda链接库

参考链接

https://github.com/apache/incubator-mxnet/issues/572 #用于解决mshadow/mshadow/./base.h:120:14: fatal error: 'cblas.h' file not found编译问题

https://mxnet.incubator.apache.org/versions/master/install/download.html

https://blog.youkuaiyun.com/qq_35457560/article/details/80487642

https://blog.youkuaiyun.com/xierhacker/article/details/53409663

https://github.com/apache/incubator-mxnet/tree/master/example/image-classification/predict-cpp

http://mxnet.incubator.apache.org/versions/master/install/c_plus_plus.html

https://blog.youkuaiyun.com/xuzhongxiong/article/details/52717285# 用于安装openblas库，在config.mk中将atlas改为openblas
sudo apt-get install libopenblas-dev liblapack-dev libatlas-base-dev 

https://blog.youkuaiyun.com/u012234115/article/details/79737005 # 关于编译与使用，对于Qt调用mxnet有借鉴意义

https://discuss.gluon.ai/t/topic/9102 #用于解决Qt头文件调用问题