1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
|
/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// This script converts the MNIST dataset to leveldb.
// The MNIST dataset could be downloaded at
// http://yann.lecun.com/exdb/mnist/
#include <fstream> // NOLINT(readability/streams)
#include <string>
#include "caffe2/core/common.h"
#include "caffe2/core/db.h"
#include "caffe2/core/init.h"
#include "caffe2/proto/caffe2_pb.h"
#include "caffe2/core/logging.h"
C10_DEFINE_string(image_file, "", "The input image file name.");
C10_DEFINE_string(label_file, "", "The label file name.");
C10_DEFINE_string(output_file, "", "The output db name.");
C10_DEFINE_string(db, "leveldb", "The db type.");
C10_DEFINE_int(
data_limit,
-1,
"If set, only output this number of data points.");
C10_DEFINE_bool(
channel_first,
false,
"If set, write the data as channel-first (CHW order) as the old "
"Caffe does.");
namespace caffe2 {
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 int data_limit) {
// 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);
CAFFE_ENFORCE(image_file, "Unable to open file ", image_filename);
CAFFE_ENFORCE(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;
image_file.read(reinterpret_cast<char*>(&magic), 4);
magic = swap_endian(magic);
if (magic == 529205256) {
LOG(FATAL) <<
"It seems that you forgot to unzip the mnist dataset. You should "
"first unzip them using e.g. gunzip on Linux.";
}
CAFFE_ENFORCE_EQ(magic, 2051, "Incorrect image file magic.");
label_file.read(reinterpret_cast<char*>(&magic), 4);
magic = swap_endian(magic);
CAFFE_ENFORCE_EQ(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);
CAFFE_ENFORCE_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);
// leveldb
std::unique_ptr<db::DB> mnist_db(db::CreateDB(FLAGS_db, db_path, db::NEW));
std::unique_ptr<db::Transaction> transaction(mnist_db->NewTransaction());
// Storing to db
char label_value;
std::vector<char> pixels(rows * cols);
int count = 0;
const int kMaxKeyLength = 11;
char key_cstr[kMaxKeyLength];
TensorProtos protos;
TensorProto* data = protos.add_protos();
TensorProto* label = protos.add_protos();
data->set_data_type(TensorProto::BYTE);
if (FLAGS_channel_first) {
data->add_dims(1);
data->add_dims(rows);
data->add_dims(cols);
} else {
data->add_dims(rows);
data->add_dims(cols);
data->add_dims(1);
}
label->set_data_type(TensorProto::INT32);
label->add_int32_data(0);
LOG(INFO) << "A total of " << num_items << " items.";
LOG(INFO) << "Rows: " << rows << " Cols: " << cols;
for (int item_id = 0; item_id < num_items; ++item_id) {
image_file.read(pixels.data(), rows * cols);
label_file.read(&label_value, 1);
for (int i = 0; i < rows * cols; ++i) {
data->set_byte_data(pixels.data(), rows * cols);
}
label->set_int32_data(0, static_cast<int>(label_value));
snprintf(key_cstr, kMaxKeyLength, "%08d", item_id);
string keystr(key_cstr);
// Put in db
transaction->Put(keystr, protos.SerializeAsString());
if (++count % 1000 == 0) {
transaction->Commit();
}
if (data_limit > 0 && count == data_limit) {
LOG(INFO) << "Reached data limit of " << data_limit << ", stop.";
break;
}
}
}
} // namespace caffe2
int main(int argc, char** argv) {
caffe2::GlobalInit(&argc, &argv);
caffe2::convert_dataset(
FLAGS_image_file.c_str(),
FLAGS_label_file.c_str(),
FLAGS_output_file.c_str(),
FLAGS_data_limit);
return 0;
}
|
