protobuf、prototxt的使用/Windows/VS
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分为:
一、配置protobuf
二、使用prototxt
下载源码,编译出protoc.exe文件和libprotobuf.lib libprotoc.lib库文件
注意版本一致,debug出来的给debug用...
使用方法:
protoc.exe 用来根据 proto文件 生成对应的 头文件 和 信息源文件
用法: protoc --cpp_out=./ person.proto
注意命令行中的空格
libproto ..lib在自己的程序中,配合生成的头和源文件
#pragma(lib,...) ...
然后还要注意,需要将源中extract_includes.bat提取的头文件置于工程根目录下,并设置包含
<img src="https://blog.csdn.net/pc1377318286/article/details/50752856" title="protobuf、prototxt的使用/Windows/VS" alt="protobuf、prototxt的使用/Windows/VS"><img src="https://img-blog.csdn.net/20160226224353190?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQv/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/Center" title="protobuf、prototxt的使用/Windows/VS" alt="protobuf、prototxt的使用/Windows/VS">
protobuf具体的生成方法见博客 http://www.2cto.com/kf/201401/270281.html
不谢!
关于配置文件,prototxt(caffe中的格式,事实上可以是任何文本文件,二进制格式或者文本格式都可以)
读写prototxt的配置文件需要以下头,用到了google的glogs,自行下载编译,linux下直接使用apt-get 就可以
下面是windows的头(linux稍微修改下include),不多废话,上代码
#include <fcntl.h> #include <google/protobuf/io/coded_stream.h> #include <google/protobuf/io/zero_copy_stream_impl.h> #include <google/protobuf/text_format.h> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/highgui/highgui_c.h> #include <opencv2/imgproc/imgproc.hpp> #include <stdint.h> #include <stdio.h> #include <algorithm> #include <fstream> // NOLINT(readability/streams) #include <string> #include <vector> #include <fcntl.h> #include <Windows.h> #ifdef USE_LEVELDB #include <leveldb/db.h> #endif //#include "caffe/common.hpp" #include "glog\logging.h" #include "acf.pb.h" #include "io.hpp" using namespace std; // port for Win32 #ifdef _MSC_VER #define open _open #define close _close #endif namespace acf { using google::protobuf::io::FileInputStream; using google::protobuf::io::FileOutputStream; using google::protobuf::io::ZeroCopyInputStream; using google::protobuf::io::CodedInputStream; using google::protobuf::io::ZeroCopyOutputStream; using google::protobuf::io::CodedOutputStream; using google::protobuf::Message; bool ReadProtoFromTextFile(const char* filename, Message* proto) { int fd = open(filename, O_RDONLY); CHECK_NE(fd, -1) << "File not found: " << filename; FileInputStream* input = new FileInputStream(fd); bool success = google::protobuf::TextFormat::Parse(input, proto); delete input; close(fd); return success; } void WriteProtoToTextFile(const Message& proto, const char* filename) { int fd = open(filename, O_WRONLY | O_CREAT | O_TRUNC, 0644); FileOutputStream* output = new FileOutputStream(fd); CHECK(google::protobuf::TextFormat::Print(proto, output)); delete output; close(fd); } bool ReadProtoFromBinaryFile(const char* filename, Message* proto) { int fd = open(filename, O_RDONLY | O_BINARY); CHECK_NE(fd, -1) << "File not found: " << filename; ZeroCopyInputStream* raw_input = new FileInputStream(fd); CodedInputStream* coded_input = new CodedInputStream(raw_input); coded_input->SetTotalBytesLimit(1073741824, 536870912); bool success = proto->ParseFromCodedStream(coded_input); delete coded_input; delete raw_input; close(fd); return success; } void WriteProtoToBinaryFile(const Message& proto, const char* filename) { fstream output(filename, ios::out | ios::trunc | ios::binary); CHECK(proto.SerializeToOstream(&output)); } } // namespace caffe
然后读取prototxt中的配置来初始化参数
Opt opt; string filename = "./default.prototxt"; ReadProtoFromTextFileOrDie(filename, &opt);
这里解释一下,proto文件只是帮助生成一个类、而prototxt文件中存储有配置信息
例如本例中
proto文件
// global configuration of the afc package acf; message Opt{ optional string name = 1; optional string posGtDir = 2; optional string posImgDir = 3; optional string negImgDir = 4; optional string posWinDir = 5; optional string negWinDir = 6; optional int32 nWeak = 7; optional int32 modelDs = 8; optional int32 modelDsPad = 9; optional int32 stride = 10; } // it‘s a size type message Size{ optional int32 height = 1; optional int32 weidth = 2; }
prototxt文件
# configure text #the name of saved detector name: "models/AcfDetector" #the director of the database posGtDir: "database/posGt" posImgDir: "database/positive" negImgDir: "database/negative" posWinDir: "1" negWinDir: "1" #the number of weak classifier nWeak: 32 nWeak: 128 nWeak: 512 nWeak: 2048 #the size of windows modelDs{ height: 48 weidth: 48 } modelDs{ height: 50 weidth: 50 } #the stride in image stride: 4
Tips:注释可以使用 // 也可以使用 #
文件也可以选择成二进制,效率会高许多,如果还不明白,参见google的指导和API文档。