зеркало из https://github.com/microsoft/caffe.git
Merge pull request #1008 from mohomran/mnist_with_lmdb
convert MNIST demo to lmdb, fixes
This commit is contained in:
Evan Shelhamer
Коммит
8bf1e60cdc
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@ -2,27 +2,37 @@
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// This script converts the MNIST dataset to the leveldb format used
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// by caffe to perform classification.
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// Usage:
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// convert_mnist_data input_image_file input_label_file output_db_file
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// convert_mnist_data [FLAGS] input_image_file input_label_file
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// output_db_file
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// The MNIST dataset could be downloaded at
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// http://yann.lecun.com/exdb/mnist/
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#include <gflags/gflags.h>
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#include <glog/logging.h>
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#include <google/protobuf/text_format.h>
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#include <leveldb/db.h>
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#include <leveldb/write_batch.h>
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#include <lmdb.h>
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#include <stdint.h>
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#include <sys/stat.h>
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#include <fstream> // NOLINT(readability/streams)
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#include <string>
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#include "glog/logging.h"
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#include "google/protobuf/text_format.h"
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#include "leveldb/db.h"
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#include "stdint.h"
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#include "caffe/proto/caffe.pb.h"
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using namespace caffe; // NOLINT(build/namespaces)
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using std::string;
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DEFINE_string(backend, "lmdb", "The backend for storing the result");
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uint32_t swap_endian(uint32_t val) {
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val = ((val << 8) & 0xFF00FF00) | ((val >> 8) & 0xFF00FF);
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return (val << 16) | (val >> 16);
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}
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void convert_dataset(const char* image_filename, const char* label_filename,
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const char* db_filename) {
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const char* db_path, const string& db_backend) {
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// Open files
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std::ifstream image_file(image_filename, std::ios::in | std::ios::binary);
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std::ifstream label_file(label_filename, std::ios::in | std::ios::binary);
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@ -51,55 +61,139 @@ void convert_dataset(const char* image_filename, const char* label_filename,
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image_file.read(reinterpret_cast<char*>(&cols), 4);
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cols = swap_endian(cols);
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// Open leveldb
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// lmdb
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MDB_env *mdb_env;
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MDB_dbi mdb_dbi;
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MDB_val mdb_key, mdb_data;
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MDB_txn *mdb_txn;
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// leveldb
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leveldb::DB* db;
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leveldb::Options options;
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options.create_if_missing = true;
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options.error_if_exists = true;
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leveldb::Status status = leveldb::DB::Open(
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options, db_filename, &db);
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CHECK(status.ok()) << "Failed to open leveldb " << db_filename
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<< ". Is it already existing?";
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options.create_if_missing = true;
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options.write_buffer_size = 268435456;
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leveldb::WriteBatch* batch = NULL;
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// Open db
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if (db_backend == "leveldb") { // leveldb
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LOG(INFO) << "Opening leveldb " << db_path;
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leveldb::Status status = leveldb::DB::Open(
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options, db_path, &db);
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CHECK(status.ok()) << "Failed to open leveldb " << db_path
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<< ". Is it already existing?";
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batch = new leveldb::WriteBatch();
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} else if (db_backend == "lmdb") { // lmdb
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LOG(INFO) << "Opening lmdb " << db_path;
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CHECK_EQ(mkdir(db_path, 0744), 0)
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<< "mkdir " << db_path << "failed";
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CHECK_EQ(mdb_env_create(&mdb_env), MDB_SUCCESS) << "mdb_env_create failed";
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CHECK_EQ(mdb_env_set_mapsize(mdb_env, 1099511627776), MDB_SUCCESS) // 1TB
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<< "mdb_env_set_mapsize failed";
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CHECK_EQ(mdb_env_open(mdb_env, db_path, 0, 0664), MDB_SUCCESS)
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<< "mdb_env_open failed";
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CHECK_EQ(mdb_txn_begin(mdb_env, NULL, 0, &mdb_txn), MDB_SUCCESS)
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<< "mdb_txn_begin failed";
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CHECK_EQ(mdb_open(mdb_txn, NULL, 0, &mdb_dbi), MDB_SUCCESS)
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<< "mdb_open failed. Does the lmdb already exist? ";
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} else {
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LOG(FATAL) << "Unknown db backend " << db_backend;
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}
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// Storing to db
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char label;
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char* pixels = new char[rows * cols];
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int count = 0;
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const int kMaxKeyLength = 10;
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char key[kMaxKeyLength];
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std::string value;
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char key_cstr[kMaxKeyLength];
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string value;
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caffe::Datum datum;
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Datum datum;
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datum.set_channels(1);
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datum.set_height(rows);
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datum.set_width(cols);
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LOG(INFO) << "A total of " << num_items << " items.";
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LOG(INFO) << "Rows: " << rows << " Cols: " << cols;
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for (int itemid = 0; itemid < num_items; ++itemid) {
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for (int item_id = 0; item_id < num_items; ++item_id) {
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image_file.read(pixels, rows * cols);
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label_file.read(&label, 1);
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datum.set_data(pixels, rows*cols);
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datum.set_label(label);
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snprintf(key_cstr, kMaxKeyLength, "%08d", item_id);
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datum.SerializeToString(&value);
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snprintf(key, kMaxKeyLength, "%08d", itemid);
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db->Put(leveldb::WriteOptions(), std::string(key), value);
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string keystr(key_cstr);
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// Put in db
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if (db_backend == "leveldb") { // leveldb
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batch->Put(keystr, value);
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} else if (db_backend == "lmdb") { // lmdb
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mdb_data.mv_size = value.size();
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mdb_data.mv_data = reinterpret_cast<void*>(&value[0]);
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mdb_key.mv_size = keystr.size();
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mdb_key.mv_data = reinterpret_cast<void*>(&keystr[0]);
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CHECK_EQ(mdb_put(mdb_txn, mdb_dbi, &mdb_key, &mdb_data, 0), MDB_SUCCESS)
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<< "mdb_put failed";
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} else {
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LOG(FATAL) << "Unknown db backend " << db_backend;
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}
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if (++count % 1000 == 0) {
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// Commit txn
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if (db_backend == "leveldb") { // leveldb
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db->Write(leveldb::WriteOptions(), batch);
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delete batch;
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batch = new leveldb::WriteBatch();
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} else if (db_backend == "lmdb") { // lmdb
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CHECK_EQ(mdb_txn_commit(mdb_txn), MDB_SUCCESS)
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<< "mdb_txn_commit failed";
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CHECK_EQ(mdb_txn_begin(mdb_env, NULL, 0, &mdb_txn), MDB_SUCCESS)
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<< "mdb_txn_begin failed";
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} else {
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LOG(FATAL) << "Unknown db backend " << db_backend;
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}
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}
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}
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// write the last batch
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if (count % 1000 != 0) {
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if (db_backend == "leveldb") { // leveldb
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db->Write(leveldb::WriteOptions(), batch);
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delete batch;
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delete db;
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} else if (db_backend == "lmdb") { // lmdb
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CHECK_EQ(mdb_txn_commit(mdb_txn), MDB_SUCCESS) << "mdb_txn_commit failed";
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mdb_close(mdb_env, mdb_dbi);
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mdb_env_close(mdb_env);
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} else {
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LOG(FATAL) << "Unknown db backend " << db_backend;
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}
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LOG(ERROR) << "Processed " << count << " files.";
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}
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delete pixels;
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}
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int main(int argc, char** argv) {
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if (argc != 4) {
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printf("This script converts the MNIST dataset to the leveldb format used\n"
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"by caffe to perform classification.\n"
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#ifndef GFLAGS_GFLAGS_H_
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namespace gflags = google;
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#endif
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gflags::SetUsageMessage("This script converts the MNIST dataset to\n"
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"the leveldb/lmdb format used by Caffe to perform classification.\n"
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"Usage:\n"
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" convert_mnist_data input_image_file input_label_file "
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" convert_mnist_data [FLAGS] input_image_file input_label_file "
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"output_db_file\n"
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"The MNIST dataset could be downloaded at\n"
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" http://yann.lecun.com/exdb/mnist/\n"
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"You should gunzip them after downloading.\n");
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"You should gunzip them after downloading,"
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"or directly use data/mnist/get_mnist.sh\n");
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gflags::ParseCommandLineFlags(&argc, &argv, true);
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const string& db_backend = FLAGS_backend;
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if (argc != 4) {
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gflags::ShowUsageWithFlagsRestrict(argv[0],
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"examples/mnist/convert_mnist_data");
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} else {
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google::InitGoogleLogging(argv[0]);
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convert_dataset(argv[1], argv[2], argv[3]);
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convert_dataset(argv[1], argv[2], argv[3], db_backend);
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}
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return 0;
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}
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@ -1,18 +1,21 @@
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#!/usr/bin/env sh
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# This script converts the mnist data into leveldb format.
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# This script converts the mnist data into leveldb/lmdb format,
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# depending on the value assigned to $BACKEND.
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EXAMPLE=examples/mnist
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DATA=data/mnist
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BUILD=build/examples/mnist
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echo "Creating leveldb..."
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BACKEND="lmdb"
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rm -rf mnist_train_leveldb
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rm -rf mnist_test_leveldb
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echo "Creating ${BACKEND}..."
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rm -rf $EXAMPLE/mnist_train_${BACKEND}
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rm -rf $EXAMPLE/mnist_test_${BACKEND}
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$BUILD/convert_mnist_data.bin $DATA/train-images-idx3-ubyte \
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$DATA/train-labels-idx1-ubyte $EXAMPLE/mnist_train_leveldb
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$DATA/train-labels-idx1-ubyte $EXAMPLE/mnist_train_${BACKEND} --backend=${BACKEND}
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$BUILD/convert_mnist_data.bin $DATA/t10k-images-idx3-ubyte \
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$DATA/t10k-labels-idx1-ubyte $EXAMPLE/mnist_test_leveldb
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$DATA/t10k-labels-idx1-ubyte $EXAMPLE/mnist_test_${BACKEND} --backend=${BACKEND}
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echo "Done."
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@ -50,7 +50,8 @@ net_param {
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top: "data"
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top: "label"
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data_param {
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source: "examples/mnist/mnist_train_leveldb"
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source: "examples/mnist/mnist_train_lmdb"
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backend: LMDB
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batch_size: 64
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transform_param {
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scale: 0.00390625
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@ -64,7 +65,8 @@ net_param {
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top: "data"
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top: "label"
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data_param {
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source: "examples/mnist/mnist_test_leveldb"
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source: "examples/mnist/mnist_test_lmdb"
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backend: LMDB
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batch_size: 100
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transform_param {
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scale: 0.00390625
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@ -81,7 +83,8 @@ net_param {
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top: "data"
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top: "label"
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data_param {
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source: "examples/mnist/mnist_train_leveldb"
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source: "examples/mnist/mnist_train_lmdb"
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backend: LMDB
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batch_size: 100
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transform_param {
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scale: 0.00390625
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@ -5,7 +5,8 @@ layers {
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top: "data"
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top: "label"
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data_param {
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source: "examples/mnist/mnist_train_leveldb"
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source: "examples/mnist/mnist_train_lmdb"
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backend: LMDB
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batch_size: 64
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transform_param {
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scale: 0.00390625
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@ -19,7 +20,8 @@ layers {
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top: "data"
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top: "label"
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data_param {
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source: "examples/mnist/mnist_test_leveldb"
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source: "examples/mnist/mnist_test_lmdb"
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backend: LMDB
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batch_size: 100
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transform_param {
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scale: 0.00390625
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@ -102,7 +102,8 @@ int main(int argc, char** argv) {
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LOG(INFO) << "Opening leveldb " << db_path;
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leveldb::Status status = leveldb::DB::Open(
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options, db_path, &db);
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CHECK(status.ok()) << "Failed to open leveldb " << db_path;
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CHECK(status.ok()) << "Failed to open leveldb " << db_path
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<< ". Is it already existing?";
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batch = new leveldb::WriteBatch();
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} else if (db_backend == "lmdb") { // lmdb
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LOG(INFO) << "Opening lmdb " << db_path;
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@ -116,7 +117,7 @@ int main(int argc, char** argv) {
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CHECK_EQ(mdb_txn_begin(mdb_env, NULL, 0, &mdb_txn), MDB_SUCCESS)
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<< "mdb_txn_begin failed";
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CHECK_EQ(mdb_open(mdb_txn, NULL, 0, &mdb_dbi), MDB_SUCCESS)
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<< "mdb_open failed";
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<< "mdb_open failed. Does the lmdb already exist? ";
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} else {
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LOG(FATAL) << "Unknown db backend " << db_backend;
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}
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