bench_bow.cxx File Reference

#include "bench_config.hpp"
#include <config.hpp>
#include <utils/filesystem.hpp>
#include <utils/numerics.hpp>
#include <utils/dataset.hpp>
#include <utils/vision.hpp>
#include <utils/logger.hpp>
#include <search/bag_of_words/bag_of_words.hpp>
#include <iostream>
#include <sstream>

Include dependency graph for bench_bow.cxx:

Go to the source code of this file.

Functions
_INITIALIZE_EASYLOGGINGPP void	compute_bow (SimpleDataset &dataset, int num_clusters, int num_images, int num_features)
int	main (int argc, char *argv[])

Function Documentation

_INITIALIZE_EASYLOGGINGPP void compute_bow	(	SimpleDataset &	dataset,
		int	num_clusters,
		int	num_images,
		int	num_features
	)

Definition at line 24 of file bench_bow.cxx.

References Dataset::all_images(), vision::compute_bow_feature(), vision::construct_descriptor_matcher(), filesystem::create_file_directory(), filesystem::file_exists(), BagOfWords::load(), filesystem::load_cvmat(), Dataset::location(), Dataset::random_images(), BagOfWords::save(), numerics::sparsify(), BagOfWords::train(), BagOfWords::vocabulary(), and filesystem::write_sparse_vector().

Referenced by main().

                                                                                             {
#if ENABLE_FASTCLUSTER && ENABLE_MPI
        int rank = MPI::COMM_WORLD.Get_rank();
#else
        int rank = 0;
#endif
        if(rank == 0) {
                LINFO << dataset;
        }

        BagOfWords bow;
        std::shared_ptr<BagOfWords::TrainParams> train_params = std::make_shared<BagOfWords::TrainParams>();
        train_params->numClusters = num_clusters;
        train_params->numFeatures = num_features;

        std::stringstream vocab_output_file;
        vocab_output_file << dataset.location() << "/vocabulary/" << train_params->numClusters << ".vocab";

        if(filesystem::file_exists(vocab_output_file.str())) {
        bow.load(vocab_output_file.str());
    } else {
        const std::vector< std::shared_ptr<const Image> > &random_images = dataset.random_images(num_images);
        bow.train(dataset, train_params, random_images);                
#if ENABLE_FASTCLUSTER && ENABLE_MPI
        if(rank == 0) {
#endif
                bow.save(vocab_output_file.str());
#if ENABLE_FASTCLUSTER && ENABLE_MPI            
        }
#endif
    }

#if ENABLE_MULTITHREADING && ENABLE_MPI
        if(rank == 0) {
#endif
        
        const std::vector<  std::shared_ptr<const Image> > &all_images = dataset.all_images();

#if ENABLE_MULTITHREADING && ENABLE_OPENMP
        uint32_t num_threads = omp_get_max_threads();
        std::vector< cv::Ptr<cv::DescriptorMatcher> > matchers;
        for(uint32_t i=0; i<num_threads; i++) {
                matchers.push_back(vision::construct_descriptor_matcher(bow.vocabulary()));
        }
#pragma omp parallel for schedule(dynamic)
#else
        const cv::Ptr<cv::DescriptorMatcher> &matcher = vision::construct_descriptor_matcher(bow.vocabulary());
#endif
        for (int64_t i = 0; i < (int64_t)all_images.size(); i++) {

#if ENABLE_MULTITHREADING && ENABLE_OPENMP
                const cv::Ptr<cv::DescriptorMatcher> &matcher = matchers[omp_get_thread_num()];
#endif
                const std::string &sift_descriptor_location = dataset.location(all_images[i]->feature_path("descriptors"));
                const std::string &bow_descriptor_location = dataset.location(all_images[i]->feature_path("bow_descriptors"));

                cv::Mat descriptors, bow_descriptors, descriptorsf;
                if (!filesystem::file_exists(sift_descriptor_location)) continue;
                if (!filesystem::load_cvmat(sift_descriptor_location, descriptors)) continue;
                descriptors.convertTo(descriptorsf, CV_32FC1);
                filesystem::create_file_directory(bow_descriptor_location);

                if (!vision::compute_bow_feature(descriptorsf, matcher, bow_descriptors, nullptr)) continue;
                const std::vector< std::pair<uint32_t, float> > &bow_descriptors_sparse = numerics::sparsify(bow_descriptors);
                filesystem::write_sparse_vector(bow_descriptor_location, bow_descriptors_sparse);
                LINFO << "Wrote " << bow_descriptor_location;
        }
#if ENABLE_MULTITHREADING && ENABLE_MPI
        }
#endif
}

int main	(	int	argc,
		char *	argv[]
	)

Definition at line 96 of file bench_bow.cxx.

References compute_bow(), s_oxford100k_data_dir, s_oxford100k_database_location, and s_oxford100k_num_clusters.

                                 {

#if ENABLE_MULTITHREADING && ENABLE_MPI
        MPI::Init(argc, argv);
#endif

        // {
        //      SimpleDataset oxford_dataset(s_oxford_data_dir, s_oxford_database_location);
        //      compute_bow(oxford_dataset, s_oxford_num_clusters, 1024, 0);
        // }

        {
                SimpleDataset oxford100k_dataset(s_oxford100k_data_dir, s_oxford100k_database_location);
                compute_bow(oxford100k_dataset, s_oxford100k_num_clusters, 2048, 0);
        }
        
#if ENABLE_MULTITHREADING && ENABLE_MPI
        MPI::Finalize();
#endif
        return 0;
}