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Home Page: http://weibo.com/shicaiyang
Caffe使用教程
Home Page: http://weibo.com/shicaiyang
博主你好哇,最近我刚入门CNN并安装了Caffe学习深度学习。我想请教一下,当初是如何设计CNN然后达到99.58的准确率呢?有没有办法再进一步提升这个准确率?是否通过增加网络的深度/filter的个数可以达到呢,而这个依据又是啥?非常感谢。
vs下要导入哪些库与头文件啊,安装了caffe是否可以不用再安装opencv了。
在c++环境下,读入一张图如何用caffe进行识别,有没有这样的例子可以参考?
1.请问test_caffe_manual.cpp这个程序是输入图片进行物体分类吗,还是只是进行caffemodel的测试?
2.还有我在windows下vs2013运行您的程序。早前已经配置好caffe的环境,各种第三方库也都基本可以用,一开始是boost的库lib没有加进去提示找不到lib,可是加进去了以后还是会出现【error LNK2019: 无法解析的外部符号 "__declspec(dllimport) public: __thiscall google::base::CheckOpMessageBuilder::CheckOpMessageBuilder(char const *)" (_imp??0CheckOpMessageBuilder@base@google@@QAE@PBD@Z),该符号在函数 "class std::basic_string<char,struct std::char_traits,class std::allocator >.........】。
我搜索了许多答案,换了boost1.59.0、1.57.0、1.55.0的库,还是会出现无法解析的外部符号。在下不得已来您这寻求解决方法...
我按照shicai说的找了个有vision_layers的caffe但是缺少别的一些东西不能用,但是新版的caffe又没有vision_layer所以,有没有人可以发我一份caffe-master,希望能帮助我下。也可以直接发到我邮箱[email protected]嘻嘻嘻,突然发现把DenseNet的问题提到这里来了
前辈你好,小白下载了您offer的caffe_manual,并自己新建了工程拷贝进去,但我编译好了的是cpu_only版本的caffe.exe,我现在只想用您的程序测试一下已经训练好的模型,在main函数里面也改成了 Caffe::set_mode(Caffe::CPU);但是仍然报错,全都是说关于cuda的,如:error C1083: 无法打开包括文件: “cublas_v2.h”: No such file or directory ; IntelliSense: 未定义标识符 "cublasHandle_t" d:\caffe-windows-master\include\caffe\common.hpp 等等
而我根本不要用到cuda,怎么解决呢?万分感谢!
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