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Windows Caffe中MNIST数据格式转换实现

发布时间:2020-12-14 02:35:47 所属栏目:Windows 来源:网络整理
导读:Caffe源码中src/caffe/caffe/examples/mnist/convert_mnist_data.cpp提供的实现代码并不能直接在Windows下运行,这里在源码的基础上进行了改写,使其可以直接在Windows 64位上直接运行,改写代码如下: ? # include "stdafx.h" # include gflags/gflags.h #

Caffe源码中src/caffe/caffe/examples/mnist/convert_mnist_data.cpp提供的实现代码并不能直接在Windows下运行,这里在源码的基础上进行了改写,使其可以直接在Windows 64位上直接运行,改写代码如下:

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#include "stdafx.h"
#include <gflags/gflags.h>
#include <glog/logging.h>
#include <google/protobuf/text_format.h>
#include <leveldb/db.h>
#include <leveldb/write_batch.h>
#include <lmdb.h>
#include <stdint.h>
#include <sys/stat.h>

#include <fstream> // NOLINT(readability/streams)
#include <string>
#include <iostream>

#include "caffe/proto/caffe.pb.h"

using namespace caffe;  // NOLINT(build/namespaces)
using std::string;

// gflags中的数据类型,c++ string,在这里指定转换到lmdb还是leveldb
DEFINE_string(backend,"lmdb","The backend for storing the result");

uint32_t swap_endian(uint32_t val) {
	val = ((val << 8) & 0xFF00FF00) | ((val >> 8) & 0xFF00FF);
	return (val << 16) | (val >> 16);
}

void convert_dataset(const char* image_filename,const char* label_filename,const char* db_path,const string& db_backend) {
	// Open files
	std::ifstream image_file(image_filename,std::ios::in | std::ios::binary);
	std::ifstream label_file(label_filename,std::ios::in | std::ios::binary);
	CHECK(image_file) << "Unable to open file " << image_filename;
	CHECK(label_file) << "Unable to open file " << label_filename;
	// Read the magic and the meta data
	uint32_t magic;
	uint32_t num_items;
	uint32_t num_labels;
	uint32_t rows;
	uint32_t cols;

	// 读取文件前n个字节,获取图像数量、图像宽、图像高
	image_file.read(reinterpret_cast<char*>(&magic),4);
	magic = swap_endian(magic);
	CHECK_EQ(magic,2051) << "Incorrect image file magic.";
	label_file.read(reinterpret_cast<char*>(&magic),2049) << "Incorrect label file magic.";
	image_file.read(reinterpret_cast<char*>(&num_items),4);
	num_items = swap_endian(num_items);
	label_file.read(reinterpret_cast<char*>(&num_labels),4);
	num_labels = swap_endian(num_labels);
	CHECK_EQ(num_items,num_labels);
	image_file.read(reinterpret_cast<char*>(&rows),4);
	rows = swap_endian(rows);
	image_file.read(reinterpret_cast<char*>(&cols),4);
	cols = swap_endian(cols);

	// lmdb
	MDB_env *mdb_env;
	MDB_dbi mdb_dbi;
	MDB_val mdb_key,mdb_data;
	MDB_txn *mdb_txn;
	// leveldb
	leveldb::DB* db = NULL;
	leveldb::Options options;
	options.error_if_exists = true;
	options.create_if_missing = true;
	options.write_buffer_size = 268435456;
	leveldb::WriteBatch* batch = NULL;

	// Open db
	if (db_backend == "leveldb") {  // leveldb
		LOG(INFO) << "Opening leveldb " << db_path;
		leveldb::Status status = leveldb::DB::Open(
			options,db_path,&db);
		CHECK(status.ok()) << "Failed to open leveldb " << db_path
			<< ". Is it already existing?";
		batch = new leveldb::WriteBatch();
	}
	else if (db_backend == "lmdb") {  // lmdb
		int rc;
		LOG(INFO) << "Opening lmdb " << db_path;
		// 创建指定的存放目录
		//CHECK_EQ(mkdir(db_path,0744),0)
		std::string strPath = std::string(db_path);
		std::string delPath = "rmdir /s/q " + strPath;
		system(delPath.c_str());
		strPath = "mkdir " + strPath;
		system(strPath.c_str());
		//CHECK_EQ(system(strPath.c_str()),0) << "mkdir " << db_path << "failed";

		// 创建lmdb数据库
		CHECK_EQ(mdb_env_create(&mdb_env),MDB_SUCCESS) << "mdb_env_create failed";
		//CHECK_EQ(mdb_env_set_mapsize(mdb_env,1099511627776),MDB_SUCCESS) << "mdb_env_set_mapsize failed";//1TB
		CHECK_EQ(mdb_env_set_mapsize(mdb_env,107374182),MDB_SUCCESS) << "mdb_env_set_mapsize failed";//100MB
		CHECK_EQ(mdb_env_open(mdb_env,0,0664),MDB_SUCCESS) << "mdb_env_open failed";
		CHECK_EQ(mdb_txn_begin(mdb_env,NULL,&mdb_txn),MDB_SUCCESS) << "mdb_txn_begin failed";
		CHECK_EQ(mdb_open(mdb_txn,&mdb_dbi),MDB_SUCCESS) << "mdb_open failed. Does the lmdb already exist? ";
	}
	else {
		LOG(FATAL) << "Unknown db backend " << db_backend;
	}

	// Storing to db
	char label;
	char* pixels = new char[rows * cols];
	int count = 0;
	const int kMaxKeyLength = 10;
	char key_cstr[kMaxKeyLength];
	string value;
	
	Datum datum; // Caffe数据类
	datum.set_channels(1);
	datum.set_height(rows);
	datum.set_width(cols);
	LOG(INFO) << "A total of " << num_items << " items.";
	LOG(INFO) << "Rows: " << rows << " Cols: " << cols;
	// 将数据写入lmdb或leveldb数据库
	for (int item_id = 0; item_id < num_items; ++item_id) {
		image_file.read(pixels,rows * cols);
		label_file.read(&label,1);
		datum.set_data(pixels,rows*cols);
		datum.set_label(label);
		//snprintf(key_cstr,kMaxKeyLength,"%08d",item_id);
		int ret = _snprintf(key_cstr,"%08d",item_id);
		if (ret == kMaxKeyLength || ret < 0) {
			printf("warning ");
			key_cstr[kMaxKeyLength - 1] = 0;
		}
		datum.SerializeToString(&value);
		string keystr(key_cstr);

		// Put in db
		if (db_backend == "leveldb") {  // leveldb
			batch->Put(keystr,value);
		}
		else if (db_backend == "lmdb") {  // lmdb
			mdb_data.mv_size = value.size();
			mdb_data.mv_data = reinterpret_cast<void*>(&value[0]);
			mdb_key.mv_size = keystr.size();
			mdb_key.mv_data = reinterpret_cast<void*>(&keystr[0]);
			CHECK_EQ(mdb_put(mdb_txn,mdb_dbi,&mdb_key,&mdb_data,0),MDB_SUCCESS)
				<< "mdb_put failed";
		}
		else {
			LOG(FATAL) << "Unknown db backend " << db_backend;
		}

		if (++count % 1000 == 0) {
			// Commit txn
			if (db_backend == "leveldb") {  // leveldb
				db->Write(leveldb::WriteOptions(),batch);
				delete batch;
				batch = new leveldb::WriteBatch();
			}
			else if (db_backend == "lmdb") {  // lmdb
				CHECK_EQ(mdb_txn_commit(mdb_txn),MDB_SUCCESS)
					<< "mdb_txn_commit failed";
				CHECK_EQ(mdb_txn_begin(mdb_env,MDB_SUCCESS)
					<< "mdb_txn_begin failed";
			}
			else {
				LOG(FATAL) << "Unknown db backend " << db_backend;
			}
		}
	}
	// write the last batch
	if (count % 1000 != 0) {
		if (db_backend == "leveldb") {  // leveldb
			db->Write(leveldb::WriteOptions(),batch);
			delete batch;
			delete db;
		}
		else if (db_backend == "lmdb") {  // lmdb
			CHECK_EQ(mdb_txn_commit(mdb_txn),MDB_SUCCESS) << "mdb_txn_commit failed";
			mdb_close(mdb_env,mdb_dbi);
			mdb_env_close(mdb_env);
		}
		else {
			LOG(FATAL) << "Unknown db backend " << db_backend;
		}
		LOG(ERROR) << "Processed " << count << " files.";
	}
	delete[] pixels;
}

int main(int argc,char* argv[]) {
#ifndef GFLAGS_GFLAGS_H_
	namespace gflags = google;
#endif
	argc = 4;
#ifdef _DEBUG
	argv[0] = "E:/GitCode/Caffe/lib/dbg/x86_vc12/tools_convert_mnist_data[dbg_x86_vc12].exe";
#else
	argv[0] = "E:/GitCode/Caffe/lib/rel/x86_vc12/tools_convert_mnist_data[rel_x86_vc12].exe";
#endif
	//argv[1] = "E:/GitCode/Caffe/src/caffe/caffe/data/mnist/t10k-images.idx3-ubyte";
	//argv[2] = "E:/GitCode/Caffe/src/caffe/caffe/data/mnist/t10k-labels.idx1-ubyte";
	//argv[3] = "E:GitCodeCaffesrccaffecaffedatamnistlmdbtest";
	argv[1] = "E:/GitCode/Caffe/src/caffe/caffe/data/mnist/train-images.idx3-ubyte";
	argv[2] = "E:/GitCode/Caffe/src/caffe/caffe/data/mnist/train-labels.idx1-ubyte";
	argv[3] = "E:GitCodeCaffesrccaffecaffedatamnistlmdbtrain";

	// 用来设定usage说明
	gflags::SetUsageMessage("This script converts the MNIST dataset ton"
		"the lmdb/leveldb format used by Caffe to load data.n"
		"Usage:n"
		" convert_mnist_data [FLAGS] input_image_file input_label_file "
		"output_db_filen"
		"The MNIST dataset could be downloaded atn"
		" http://yann.lecun.com/exdb/mnist/n"
		"You should gunzip them after downloading,"
		"or directly use data/mnist/get_mnist.shn");
	// 解析命令行参数
	gflags::ParseCommandLineFlags(&argc,&argv,true);

	// 获取标志参数backend的值
	const string& db_backend = FLAGS_backend;

	if (argc != 4) {
		// 输出usage说明
		gflags::ShowUsageWithFlagsRestrict(argv[0],"examples/mnist/convert_mnist_data");
	}
	else {
		// 设置日志文件名中"文件名"字段
		// 每个进程中至少要执行一次InitGoogleLogging,否则不产生日志文件
		google::InitGoogleLogging(argv[0]);
		convert_dataset(argv[1],argv[2],argv[3],db_backend);
	}

	std::cout << "ok!" << std::endl;
	return 0;
}

GitHub: https://github.com/fengbingchun/Caffe_Test

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