convert_multilabel.cpp

// This program converts a set of images to a lmdb/leveldb by storing them
// as Datum proto buffers.
// Usage:
//   convert_imageset [FLAGS] ROOTFOLDER/ LISTFILE DB_NAME
//
// where ROOTFOLDER is the root folder that holds all the images, and LISTFILE
// should be a list of files as well as their labels, in the format as
//   subfolder1/file1.JPEG 7
//   ....



//#ifdef	MULTILABEL



#include <algorithm>
#include <fstream>  // NOLINT(readability/streams)
#include <string>
#include <utility>
#include <vector>

#include "boost/scoped_ptr.hpp"
#include "gflags/gflags.h"
#include "glog/logging.h"

#include "caffe/proto/caffe.pb.h"
#include "caffe/util/db.hpp"
#include "caffe/util/format.hpp"
#include "caffe/util/io.hpp"
#include "caffe/util/rng.hpp"

using namespace caffe;  // NOLINT(build/namespaces)
using std::pair;
using boost::scoped_ptr;

DEFINE_bool(gray, false,
	"When this option is on, treat images as grayscale ones");
DEFINE_bool(shuffle, false,
	"Randomly shuffle the order of images and their labels");
DEFINE_string(backend, "lmdb",
	"The backend {lmdb, leveldb} for storing the result");
DEFINE_int32(resize_width, 0, "Width images are resized to");
DEFINE_int32(resize_height, 0, "Height images are resized to");
DEFINE_bool(check_size, false,
	"When this option is on, check that all the datum have the same size");
DEFINE_bool(encoded, false,
	"When this option is on, the encoded image will be save in datum");
DEFINE_string(encode_type, "",
	"Optional: What type should we encode the image as ('png','jpg',...).");

int main(int argc, char** argv) {
#ifdef USE_OPENCV
	::google::InitGoogleLogging(argv[0]);
	// Print output to stderr (while still logging)
	FLAGS_alsologtostderr = 1;

#ifndef GFLAGS_GFLAGS_H_
	namespace gflags = google;
#endif

	gflags::SetUsageMessage("Convert a set of images to the leveldb/lmdb\n"
		"format used as input for Caffe.\n"
		"Usage:\n"
		"    convert_imageset [FLAGS] ROOTFOLDER/ LISTFILE DB_NAME\n"
		"The ImageNet dataset for the training demo is at\n"
		"    http://www.image-net.org/download-images\n");
	gflags::ParseCommandLineFlags(&argc, &argv, true);

	if (argc < 6) {
		gflags::ShowUsageWithFlagsRestrict(argv[0], "tools/convert_imageset");
		return 1;
	}

	const bool is_color = !FLAGS_gray;
	const bool check_size = FLAGS_check_size;
	const bool encoded = FLAGS_encoded;
	const string encode_type = FLAGS_encode_type;

	std::ifstream infile(argv[2]);
	std::vector<std::pair<std::string, std::vector<float>> > lines;
	std::string filename;

	std::string label_count_string = argv[5];
	int label_count = std::atoi(label_count_string.c_str());
	
	std::vector<float> label(label_count);
	
	while (infile >> filename) 
	{
		for (int i = 0; i < label_count;i++)
		{
			infile >> label[i];
			
		}
		lines.push_back(std::make_pair(filename, label));
	}
	if (FLAGS_shuffle) {
		// randomly shuffle data
		LOG(INFO) << "Shuffling data";
		shuffle(lines.begin(), lines.end());
	}
	LOG(INFO) << "A total of " << lines.size() << " images.";

	if (encode_type.size() && !encoded)
		LOG(INFO) << "encode_type specified, assuming encoded=true.";

	int resize_height = std::max<int>(0, FLAGS_resize_height);
	int resize_width = std::max<int>(0, FLAGS_resize_width);

	// Create new DB
	scoped_ptr<db::DB> db_image(db::GetDB(FLAGS_backend));
	scoped_ptr<db::DB> db_label(db::GetDB(FLAGS_backend));
	db_image->Open(argv[3], db::NEW);
	db_label->Open(argv[4], db::NEW);
	scoped_ptr<db::Transaction> txn_image(db_image->NewTransaction());
	scoped_ptr<db::Transaction> txn_label(db_label->NewTransaction());

	// Storing to db
	std::string root_folder(argv[1]);
	Datum datum_label;
	Datum datum_image;
	int count = 0;
	int data_size_label = 0;
	int data_size_image = 0;
	bool data_size_initialized = false;

	for (int line_id = 0; line_id < lines.size(); ++line_id) {
		bool status;
		std::string enc = encode_type;
		if (encoded && !enc.size()) {
			// Guess the encoding type from the file name
			string fn = lines[line_id].first;
			size_t p = fn.rfind('.');
			if (p == fn.npos)
				LOG(WARNING) << "Failed to guess the encoding of '" << fn << "'";
			enc = fn.substr(p);
			std::transform(enc.begin(), enc.end(), enc.begin(), ::tolower);
		}

		status = ReadImageToDatum(root_folder + lines[line_id].first,
			lines[line_id].second[0], resize_height, resize_width, is_color,
			enc, &datum_image);
		if (status == false) continue;
		
		datum_label.set_height(1);
		datum_label.set_width(1);
		datum_label.set_channels(label_count);
		int count_tmp = datum_label.float_data_size();
		for (int index_label = 0; index_label < lines[line_id].second.size(); index_label++)
		{
			float tmp_float_value = lines[line_id].second[index_label];
			datum_label.add_float_data(tmp_float_value);
		}
		
		if (check_size) {
			if (!data_size_initialized) {
				data_size_label = datum_label.channels() * datum_label.height() * datum_label.width();
				data_size_image = datum_image.channels() * datum_image.height() * datum_image.width();
				data_size_initialized = true;
			}
			else {
				const std::string& data_label = datum_label.data();
				CHECK_EQ(data_label.size(), data_size_label) << "Incorrect data field size "
					<< data_label.size();

				const std::string& data_image = datum_image.data();
				CHECK_EQ(data_image.size(), data_size_image) << "Incorrect data field size "
					<< data_image.size();
			}
		}
		// sequential
		string key_str_image = caffe::format_int(line_id, 8) + "_" + lines[line_id].first;
		string key_str_label = caffe::format_int(line_id, 8) + "label_" + lines[line_id].first;

		// Put in db
		string out_label;
		string out_image;
		CHECK(datum_label.SerializeToString(&out_label));
		CHECK(datum_image.SerializeToString(&out_image));

		datum_label.clear_float_data();
		txn_label->Put(key_str_label, out_label);
		txn_image->Put(key_str_image, out_image);
		if (++count % 1000 == 0) {
			// Commit db
			txn_image->Commit();
			txn_image.reset(db_image->NewTransaction());

			txn_label->Commit();
			txn_label.reset(db_label->NewTransaction());
			LOG(INFO) << "Processed " << count << " files.";
		}
		
	}
	// write the last batch
	if (count % 1000 != 0) {
		txn_label->Commit();
		txn_image->Commit();
		LOG(INFO) << "Processed " << count << " files.";
	}
#else
	LOG(FATAL) << "This tool requires OpenCV; compile with USE_OPENCV.";
#endif  // USE_OPENCV
	return 0;
}


//#endif