ceres-solver-v1 / colmap /src /base /database_cache.cc
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// Copyright (c) 2022, ETH Zurich and UNC Chapel Hill.
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// * Neither the name of ETH Zurich and UNC Chapel Hill nor the names of
// its contributors may be used to endorse or promote products derived
// from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE
// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
//
// Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de)
#include "base/database_cache.h"
#include <unordered_set>
#include "feature/utils.h"
#include "util/string.h"
#include "util/timer.h"
namespace colmap {
DatabaseCache::DatabaseCache() {}
void DatabaseCache::AddCamera(class Camera camera) {
const camera_t camera_id = camera.CameraId();
CHECK(!ExistsCamera(camera_id));
cameras_.emplace(camera_id, std::move(camera));
}
void DatabaseCache::AddImage(class Image image) {
const image_t image_id = image.ImageId();
CHECK(!ExistsImage(image_id));
correspondence_graph_.AddImage(image_id, image.NumPoints2D());
images_.emplace(image_id, std::move(image));
}
void DatabaseCache::Load(const Database& database, const size_t min_num_matches,
const bool ignore_watermarks,
const std::unordered_set<std::string>& image_names) {
//////////////////////////////////////////////////////////////////////////////
// Load cameras
//////////////////////////////////////////////////////////////////////////////
Timer timer;
timer.Start();
std::cout << "Loading cameras..." << std::flush;
{
std::vector<class Camera> cameras = database.ReadAllCameras();
cameras_.reserve(cameras.size());
for (auto& camera : cameras) {
const camera_t camera_id = camera.CameraId();
cameras_.emplace(camera_id, std::move(camera));
}
}
std::cout << StringPrintf(" %d in %.3fs", cameras_.size(),
timer.ElapsedSeconds())
<< std::endl;
//////////////////////////////////////////////////////////////////////////////
// Load matches
//////////////////////////////////////////////////////////////////////////////
timer.Restart();
std::cout << "Loading matches..." << std::flush;
std::vector<image_pair_t> image_pair_ids;
std::vector<TwoViewGeometry> two_view_geometries;
database.ReadTwoViewGeometries(&image_pair_ids, &two_view_geometries);
std::cout << StringPrintf(" %d in %.3fs", image_pair_ids.size(),
timer.ElapsedSeconds())
<< std::endl;
auto UseInlierMatchesCheck = [min_num_matches, ignore_watermarks](
const TwoViewGeometry& two_view_geometry) {
return static_cast<size_t>(two_view_geometry.inlier_matches.size()) >=
min_num_matches &&
(!ignore_watermarks ||
two_view_geometry.config != TwoViewGeometry::WATERMARK);
};
//////////////////////////////////////////////////////////////////////////////
// Load images
//////////////////////////////////////////////////////////////////////////////
timer.Restart();
std::cout << "Loading images..." << std::flush;
std::unordered_set<image_t> image_ids;
{
std::vector<class Image> images = database.ReadAllImages();
const size_t num_images = images.size();
// Determines for which images data should be loaded.
if (image_names.empty()) {
for (const auto& image : images) {
image_ids.insert(image.ImageId());
}
} else {
for (const auto& image : images) {
if (image_names.count(image.Name()) > 0) {
image_ids.insert(image.ImageId());
}
}
}
// Collect all images that are connected in the correspondence graph.
std::unordered_set<image_t> connected_image_ids;
connected_image_ids.reserve(image_ids.size());
for (size_t i = 0; i < image_pair_ids.size(); ++i) {
if (UseInlierMatchesCheck(two_view_geometries[i])) {
image_t image_id1;
image_t image_id2;
Database::PairIdToImagePair(image_pair_ids[i], &image_id1, &image_id2);
if (image_ids.count(image_id1) > 0 && image_ids.count(image_id2) > 0) {
connected_image_ids.insert(image_id1);
connected_image_ids.insert(image_id2);
}
}
}
// Load images with correspondences and discard images without
// correspondences, as those images are useless for SfM.
images_.reserve(connected_image_ids.size());
for (auto& image : images) {
const image_t image_id = image.ImageId();
if (image_ids.count(image_id) > 0 &&
connected_image_ids.count(image_id) > 0) {
images_.emplace(image_id, std::move(image));
const FeatureKeypoints keypoints = database.ReadKeypoints(image_id);
const std::vector<Eigen::Vector2d> points =
FeatureKeypointsToPointsVector(keypoints);
images_[image_id].SetPoints2D(points);
}
}
std::cout << StringPrintf(" %d in %.3fs (connected %d)", num_images,
timer.ElapsedSeconds(),
connected_image_ids.size())
<< std::endl;
}
//////////////////////////////////////////////////////////////////////////////
// Build correspondence graph
//////////////////////////////////////////////////////////////////////////////
timer.Restart();
std::cout << "Building correspondence graph..." << std::flush;
for (const auto& image : images_) {
correspondence_graph_.AddImage(image.first, image.second.NumPoints2D());
}
size_t num_ignored_image_pairs = 0;
for (size_t i = 0; i < image_pair_ids.size(); ++i) {
if (UseInlierMatchesCheck(two_view_geometries[i])) {
image_t image_id1;
image_t image_id2;
Database::PairIdToImagePair(image_pair_ids[i], &image_id1, &image_id2);
if (image_ids.count(image_id1) > 0 && image_ids.count(image_id2) > 0) {
correspondence_graph_.AddCorrespondences(
image_id1, image_id2, two_view_geometries[i].inlier_matches);
} else {
num_ignored_image_pairs += 1;
}
} else {
num_ignored_image_pairs += 1;
}
}
correspondence_graph_.Finalize();
// Set number of observations and correspondences per image.
for (auto& image : images_) {
image.second.SetNumObservations(
correspondence_graph_.NumObservationsForImage(image.first));
image.second.SetNumCorrespondences(
correspondence_graph_.NumCorrespondencesForImage(image.first));
}
std::cout << StringPrintf(" in %.3fs (ignored %d)", timer.ElapsedSeconds(),
num_ignored_image_pairs)
<< std::endl;
}
const class Image* DatabaseCache::FindImageWithName(
const std::string& name) const {
for (const auto& image : images_) {
if (image.second.Name() == name) {
return &image.second;
}
}
return nullptr;
}
} // namespace colmap