Merge pull request #1008 from mohomran/mnist_with_lmdb

convert MNIST demo to lmdb, fixes
This commit is contained in:
Evan Shelhamer 2014-08-31 11:02:45 -07:00
Родитель 92f6c26829 5615bf6c17
Коммит 8bf1e60cdc
5 изменённых файлов: 146 добавлений и 43 удалений

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@ -2,27 +2,37 @@
// This script converts the MNIST dataset to the leveldb format used
// by caffe to perform classification.
// Usage:
// convert_mnist_data input_image_file input_label_file output_db_file
// convert_mnist_data [FLAGS] input_image_file input_label_file
// output_db_file
// The MNIST dataset could be downloaded at
// http://yann.lecun.com/exdb/mnist/
#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 "glog/logging.h"
#include "google/protobuf/text_format.h"
#include "leveldb/db.h"
#include "stdint.h"
#include "caffe/proto/caffe.pb.h"
using namespace caffe; // NOLINT(build/namespaces)
using std::string;
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_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);
@ -51,55 +61,139 @@ void convert_dataset(const char* image_filename, const char* label_filename,
image_file.read(reinterpret_cast<char*>(&cols), 4);
cols = swap_endian(cols);
// Open leveldb
// lmdb
MDB_env *mdb_env;
MDB_dbi mdb_dbi;
MDB_val mdb_key, mdb_data;
MDB_txn *mdb_txn;
// leveldb
leveldb::DB* db;
leveldb::Options options;
options.create_if_missing = true;
options.error_if_exists = true;
leveldb::Status status = leveldb::DB::Open(
options, db_filename, &db);
CHECK(status.ok()) << "Failed to open leveldb " << db_filename
<< ". Is it already existing?";
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
LOG(INFO) << "Opening lmdb " << db_path;
CHECK_EQ(mkdir(db_path, 0744), 0)
<< "mkdir " << db_path << "failed";
CHECK_EQ(mdb_env_create(&mdb_env), MDB_SUCCESS) << "mdb_env_create failed";
CHECK_EQ(mdb_env_set_mapsize(mdb_env, 1099511627776), MDB_SUCCESS) // 1TB
<< "mdb_env_set_mapsize failed";
CHECK_EQ(mdb_env_open(mdb_env, db_path, 0, 0664), MDB_SUCCESS)
<< "mdb_env_open failed";
CHECK_EQ(mdb_txn_begin(mdb_env, NULL, 0, &mdb_txn), MDB_SUCCESS)
<< "mdb_txn_begin failed";
CHECK_EQ(mdb_open(mdb_txn, NULL, 0, &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[kMaxKeyLength];
std::string value;
char key_cstr[kMaxKeyLength];
string value;
caffe::Datum datum;
Datum datum;
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;
for (int itemid = 0; itemid < num_items; ++itemid) {
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);
datum.SerializeToString(&value);
snprintf(key, kMaxKeyLength, "%08d", itemid);
db->Put(leveldb::WriteOptions(), std::string(key), 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, NULL, 0, &mdb_txn), 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) {
if (argc != 4) {
printf("This script converts the MNIST dataset to the leveldb format used\n"
"by caffe to perform classification.\n"
#ifndef GFLAGS_GFLAGS_H_
namespace gflags = google;
#endif
gflags::SetUsageMessage("This script converts the MNIST dataset to\n"
"the leveldb/lmdb format used by Caffe to perform classification.\n"
"Usage:\n"
" convert_mnist_data input_image_file input_label_file "
" convert_mnist_data [FLAGS] input_image_file input_label_file "
"output_db_file\n"
"The MNIST dataset could be downloaded at\n"
" http://yann.lecun.com/exdb/mnist/\n"
"You should gunzip them after downloading.\n");
"You should gunzip them after downloading,"
"or directly use data/mnist/get_mnist.sh\n");
gflags::ParseCommandLineFlags(&argc, &argv, true);
const string& db_backend = FLAGS_backend;
if (argc != 4) {
gflags::ShowUsageWithFlagsRestrict(argv[0],
"examples/mnist/convert_mnist_data");
} else {
google::InitGoogleLogging(argv[0]);
convert_dataset(argv[1], argv[2], argv[3]);
convert_dataset(argv[1], argv[2], argv[3], db_backend);
}
return 0;
}

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@ -1,18 +1,21 @@
#!/usr/bin/env sh
# This script converts the mnist data into leveldb format.
# This script converts the mnist data into leveldb/lmdb format,
# depending on the value assigned to $BACKEND.
EXAMPLE=examples/mnist
DATA=data/mnist
BUILD=build/examples/mnist
echo "Creating leveldb..."
BACKEND="lmdb"
rm -rf mnist_train_leveldb
rm -rf mnist_test_leveldb
echo "Creating ${BACKEND}..."
rm -rf $EXAMPLE/mnist_train_${BACKEND}
rm -rf $EXAMPLE/mnist_test_${BACKEND}
$BUILD/convert_mnist_data.bin $DATA/train-images-idx3-ubyte \
$DATA/train-labels-idx1-ubyte $EXAMPLE/mnist_train_leveldb
$DATA/train-labels-idx1-ubyte $EXAMPLE/mnist_train_${BACKEND} --backend=${BACKEND}
$BUILD/convert_mnist_data.bin $DATA/t10k-images-idx3-ubyte \
$DATA/t10k-labels-idx1-ubyte $EXAMPLE/mnist_test_leveldb
$DATA/t10k-labels-idx1-ubyte $EXAMPLE/mnist_test_${BACKEND} --backend=${BACKEND}
echo "Done."

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@ -50,7 +50,8 @@ net_param {
top: "data"
top: "label"
data_param {
source: "examples/mnist/mnist_train_leveldb"
source: "examples/mnist/mnist_train_lmdb"
backend: LMDB
batch_size: 64
transform_param {
scale: 0.00390625
@ -64,7 +65,8 @@ net_param {
top: "data"
top: "label"
data_param {
source: "examples/mnist/mnist_test_leveldb"
source: "examples/mnist/mnist_test_lmdb"
backend: LMDB
batch_size: 100
transform_param {
scale: 0.00390625
@ -81,7 +83,8 @@ net_param {
top: "data"
top: "label"
data_param {
source: "examples/mnist/mnist_train_leveldb"
source: "examples/mnist/mnist_train_lmdb"
backend: LMDB
batch_size: 100
transform_param {
scale: 0.00390625

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@ -5,7 +5,8 @@ layers {
top: "data"
top: "label"
data_param {
source: "examples/mnist/mnist_train_leveldb"
source: "examples/mnist/mnist_train_lmdb"
backend: LMDB
batch_size: 64
transform_param {
scale: 0.00390625
@ -19,7 +20,8 @@ layers {
top: "data"
top: "label"
data_param {
source: "examples/mnist/mnist_test_leveldb"
source: "examples/mnist/mnist_test_lmdb"
backend: LMDB
batch_size: 100
transform_param {
scale: 0.00390625

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@ -102,7 +102,8 @@ int main(int argc, char** argv) {
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;
CHECK(status.ok()) << "Failed to open leveldb " << db_path
<< ". Is it already existing?";
batch = new leveldb::WriteBatch();
} else if (db_backend == "lmdb") { // lmdb
LOG(INFO) << "Opening lmdb " << db_path;
@ -116,7 +117,7 @@ int main(int argc, char** argv) {
CHECK_EQ(mdb_txn_begin(mdb_env, NULL, 0, &mdb_txn), MDB_SUCCESS)
<< "mdb_txn_begin failed";
CHECK_EQ(mdb_open(mdb_txn, NULL, 0, &mdb_dbi), MDB_SUCCESS)
<< "mdb_open failed";
<< "mdb_open failed. Does the lmdb already exist? ";
} else {
LOG(FATAL) << "Unknown db backend " << db_backend;
}