357 lines
10 KiB
C++
357 lines
10 KiB
C++
/**
|
|
BSD 3-Clause License
|
|
|
|
This file is part of the Basalt project.
|
|
https://gitlab.com/VladyslavUsenko/basalt.git
|
|
|
|
Copyright (c) 2019, Vladyslav Usenko and Nikolaus Demmel.
|
|
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 the copyright holder 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 HOLDER 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.
|
|
*/
|
|
|
|
#include <algorithm>
|
|
#include <chrono>
|
|
#include <iostream>
|
|
#include <thread>
|
|
|
|
#include <sophus/se3.hpp>
|
|
|
|
#include <tbb/concurrent_unordered_map.h>
|
|
|
|
#include <pangolin/display/image_view.h>
|
|
#include <pangolin/gl/gldraw.h>
|
|
#include <pangolin/image/image.h>
|
|
#include <pangolin/image/image_io.h>
|
|
#include <pangolin/image/typed_image.h>
|
|
#include <pangolin/pangolin.h>
|
|
|
|
#include <CLI/CLI.hpp>
|
|
|
|
#include <basalt/io/dataset_io.h>
|
|
#include <basalt/spline/se3_spline.h>
|
|
|
|
#include <basalt/calibration/calibration.hpp>
|
|
|
|
#include <basalt/optical_flow/optical_flow.h>
|
|
|
|
#include <basalt/serialization/headers_serialization.h>
|
|
|
|
constexpr int UI_WIDTH = 200;
|
|
|
|
void draw_image_overlay(pangolin::View& v, size_t cam_id);
|
|
void load_data(const std::string& calib_path);
|
|
bool next_step();
|
|
bool prev_step();
|
|
|
|
pangolin::Var<int> show_frame("ui.show_frame", 0, 0, 1500);
|
|
pangolin::Var<bool> show_obs("ui.show_obs", true, false, true);
|
|
pangolin::Var<bool> show_ids("ui.show_ids", false, false, true);
|
|
|
|
using Button = pangolin::Var<std::function<void(void)>>;
|
|
Button next_step_btn("ui.next_step", &next_step);
|
|
Button prev_step_btn("ui.prev_step", &prev_step);
|
|
pangolin::Var<bool> continue_btn("ui.continue", true, false, true);
|
|
|
|
// Opt flow variables
|
|
basalt::VioDatasetPtr vio_dataset;
|
|
|
|
basalt::VioConfig vio_config;
|
|
basalt::OpticalFlowBase::Ptr opt_flow_ptr;
|
|
|
|
tbb::concurrent_unordered_map<int64_t, basalt::OpticalFlowResult::Ptr,
|
|
std::hash<int64_t>>
|
|
observations;
|
|
tbb::concurrent_bounded_queue<basalt::OpticalFlowResult::Ptr>
|
|
observations_queue;
|
|
|
|
basalt::Calibration<double> calib;
|
|
|
|
std::unordered_map<basalt::KeypointId, int> keypoint_stats;
|
|
|
|
void feed_images() {
|
|
std::cout << "Started input_data thread " << std::endl;
|
|
|
|
for (size_t i = 0; i < vio_dataset->get_image_timestamps().size(); i++) {
|
|
basalt::OpticalFlowInput::Ptr data(new basalt::OpticalFlowInput);
|
|
|
|
data->t_ns = vio_dataset->get_image_timestamps()[i];
|
|
data->img_data = vio_dataset->get_image_data(data->t_ns);
|
|
|
|
opt_flow_ptr->input_queue.push(data);
|
|
}
|
|
|
|
// Indicate the end of the sequence
|
|
basalt::OpticalFlowInput::Ptr data;
|
|
opt_flow_ptr->input_queue.push(data);
|
|
|
|
std::cout << "Finished input_data thread " << std::endl;
|
|
}
|
|
|
|
void read_result() {
|
|
std::cout << "Started read_result thread " << std::endl;
|
|
|
|
basalt::OpticalFlowResult::Ptr res;
|
|
|
|
while (true) {
|
|
observations_queue.pop(res);
|
|
if (!res.get()) break;
|
|
|
|
res->input_images.reset();
|
|
|
|
observations.emplace(res->t_ns, res);
|
|
|
|
for (size_t i = 0; i < res->observations.size(); i++)
|
|
for (const auto& kv : res->observations.at(i)) {
|
|
if (keypoint_stats.count(kv.first) == 0) {
|
|
keypoint_stats[kv.first] = 1;
|
|
} else {
|
|
keypoint_stats[kv.first]++;
|
|
}
|
|
}
|
|
}
|
|
|
|
std::cout << "Finished read_result thread " << std::endl;
|
|
|
|
double sum = 0;
|
|
|
|
for (const auto& kv : keypoint_stats) {
|
|
sum += kv.second;
|
|
}
|
|
|
|
std::cout << "Mean track length: " << sum / keypoint_stats.size()
|
|
<< " num_points: " << keypoint_stats.size() << std::endl;
|
|
}
|
|
|
|
int main(int argc, char** argv) {
|
|
bool show_gui = true;
|
|
std::string cam_calib_path;
|
|
std::string dataset_path;
|
|
std::string dataset_type;
|
|
std::string config_path;
|
|
|
|
CLI::App app{"App description"};
|
|
|
|
app.add_option("--show-gui", show_gui, "Show GUI");
|
|
app.add_option("--cam-calib", cam_calib_path,
|
|
"Ground-truth camera calibration used for simulation.")
|
|
->required();
|
|
|
|
app.add_option("--dataset-path", dataset_path, "Path to dataset.")
|
|
->required();
|
|
|
|
app.add_option("--dataset-type", dataset_type, "Type of dataset.")
|
|
->required();
|
|
|
|
app.add_option("--config-path", config_path, "Path to config file.");
|
|
|
|
try {
|
|
app.parse(argc, argv);
|
|
} catch (const CLI::ParseError& e) {
|
|
return app.exit(e);
|
|
}
|
|
|
|
if (!config_path.empty()) {
|
|
vio_config.load(config_path);
|
|
}
|
|
|
|
load_data(cam_calib_path);
|
|
|
|
{
|
|
basalt::DatasetIoInterfacePtr dataset_io =
|
|
basalt::DatasetIoFactory::getDatasetIo(dataset_type);
|
|
|
|
dataset_io->read(dataset_path);
|
|
|
|
vio_dataset = dataset_io->get_data();
|
|
vio_dataset->get_image_timestamps().erase(
|
|
vio_dataset->get_image_timestamps().begin());
|
|
|
|
show_frame.Meta().range[1] = vio_dataset->get_image_timestamps().size() - 1;
|
|
show_frame.Meta().gui_changed = true;
|
|
|
|
opt_flow_ptr =
|
|
basalt::OpticalFlowFactory::getOpticalFlow(vio_config, calib);
|
|
if (show_gui) opt_flow_ptr->output_queue = &observations_queue;
|
|
observations_queue.set_capacity(100);
|
|
|
|
keypoint_stats.reserve(50000);
|
|
}
|
|
|
|
std::thread t1(&feed_images);
|
|
|
|
if (show_gui) {
|
|
std::thread t2(&read_result);
|
|
|
|
pangolin::CreateWindowAndBind("Main", 1800, 1000);
|
|
|
|
glEnable(GL_DEPTH_TEST);
|
|
|
|
pangolin::View& img_view_display =
|
|
pangolin::CreateDisplay()
|
|
.SetBounds(0, 1.0, pangolin::Attach::Pix(UI_WIDTH), 1.0)
|
|
.SetLayout(pangolin::LayoutEqual);
|
|
|
|
pangolin::CreatePanel("ui").SetBounds(0.0, 1.0, 0.0,
|
|
pangolin::Attach::Pix(UI_WIDTH));
|
|
|
|
std::vector<std::shared_ptr<pangolin::ImageView>> img_view;
|
|
while (img_view.size() < calib.intrinsics.size()) {
|
|
std::shared_ptr<pangolin::ImageView> iv(new pangolin::ImageView);
|
|
|
|
size_t idx = img_view.size();
|
|
img_view.push_back(iv);
|
|
|
|
img_view_display.AddDisplay(*iv);
|
|
iv->extern_draw_function =
|
|
std::bind(&draw_image_overlay, std::placeholders::_1, idx);
|
|
}
|
|
|
|
while (!pangolin::ShouldQuit()) {
|
|
glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
|
|
|
|
glClearColor(0.95f, 0.95f, 0.95f, 1.0f);
|
|
|
|
img_view_display.Activate();
|
|
|
|
if (show_frame.GuiChanged()) {
|
|
size_t frame_id = static_cast<size_t>(show_frame);
|
|
int64_t timestamp = vio_dataset->get_image_timestamps()[frame_id];
|
|
|
|
const std::vector<basalt::ImageData>& img_vec =
|
|
vio_dataset->get_image_data(timestamp);
|
|
|
|
for (size_t cam_id = 0; cam_id < calib.intrinsics.size(); cam_id++) {
|
|
if (img_vec[cam_id].img.get()) {
|
|
auto img = img_vec[cam_id].img;
|
|
|
|
pangolin::GlPixFormat fmt;
|
|
fmt.glformat = GL_LUMINANCE;
|
|
fmt.gltype = GL_UNSIGNED_SHORT;
|
|
fmt.scalable_internal_format = GL_LUMINANCE16;
|
|
|
|
img_view[cam_id]->SetImage(img->ptr, img->w, img->h, img->pitch,
|
|
fmt);
|
|
} else {
|
|
img_view[cam_id]->Clear();
|
|
}
|
|
}
|
|
}
|
|
|
|
pangolin::FinishFrame();
|
|
|
|
if (continue_btn) {
|
|
if (!next_step()) {
|
|
continue_btn = false;
|
|
}
|
|
} else {
|
|
std::this_thread::sleep_for(std::chrono::milliseconds(50));
|
|
}
|
|
}
|
|
|
|
t2.join();
|
|
}
|
|
|
|
t1.join();
|
|
|
|
return 0;
|
|
}
|
|
|
|
void draw_image_overlay(pangolin::View& v, size_t cam_id) {
|
|
UNUSED(v);
|
|
|
|
size_t frame_id = static_cast<size_t>(show_frame);
|
|
int64_t t_ns = vio_dataset->get_image_timestamps()[frame_id];
|
|
|
|
if (show_obs) {
|
|
glLineWidth(1.0);
|
|
glColor3f(1.0, 0.0, 0.0);
|
|
glEnable(GL_BLEND);
|
|
glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA);
|
|
|
|
if (observations.count(t_ns) > 0) {
|
|
const Eigen::aligned_map<basalt::KeypointId, Eigen::AffineCompact2f>&
|
|
kp_map = observations.at(t_ns)->observations[cam_id];
|
|
|
|
for (const auto& kv : kp_map) {
|
|
Eigen::MatrixXf transformed_patch =
|
|
kv.second.linear() * opt_flow_ptr->patch_coord;
|
|
transformed_patch.colwise() += kv.second.translation();
|
|
|
|
for (int i = 0; i < transformed_patch.cols(); i++) {
|
|
const Eigen::Vector2f c = transformed_patch.col(i);
|
|
pangolin::glDrawCirclePerimeter(c[0], c[1], 0.5f);
|
|
}
|
|
|
|
const Eigen::Vector2f c = kv.second.translation();
|
|
|
|
if (show_ids)
|
|
pangolin::GlFont::I().Text("%d", kv.first).Draw(5 + c[0], 5 + c[1]);
|
|
}
|
|
|
|
pangolin::GlFont::I()
|
|
.Text("Tracked %d keypoints", kp_map.size())
|
|
.Draw(5, 20);
|
|
}
|
|
}
|
|
}
|
|
|
|
void load_data(const std::string& calib_path) {
|
|
std::ifstream os(calib_path, std::ios::binary);
|
|
|
|
if (os.is_open()) {
|
|
cereal::JSONInputArchive archive(os);
|
|
archive(calib);
|
|
std::cout << "Loaded camera with " << calib.intrinsics.size() << " cameras"
|
|
<< std::endl;
|
|
|
|
} else {
|
|
std::cerr << "could not load camera calibration " << calib_path
|
|
<< std::endl;
|
|
std::abort();
|
|
}
|
|
}
|
|
|
|
bool next_step() {
|
|
if (show_frame < int(vio_dataset->get_image_timestamps().size()) - 1) {
|
|
show_frame = show_frame + 1;
|
|
show_frame.Meta().gui_changed = true;
|
|
return true;
|
|
} else {
|
|
return false;
|
|
}
|
|
}
|
|
|
|
bool prev_step() {
|
|
if (show_frame > 0) {
|
|
show_frame = show_frame - 1;
|
|
show_frame.Meta().gui_changed = true;
|
|
return true;
|
|
} else {
|
|
return false;
|
|
}
|
|
}
|