357 lines
10 KiB
C++
357 lines
10 KiB
C++
/**
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BSD 3-Clause License
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This file is part of the Basalt project.
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https://gitlab.com/VladyslavUsenko/basalt.git
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Copyright (c) 2019, Vladyslav Usenko and Nikolaus Demmel.
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice, this
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list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* Neither the name of the copyright holder nor the names of its
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contributors may be used to endorse or promote products derived from
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this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include <algorithm>
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#include <chrono>
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#include <iostream>
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#include <thread>
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#include <sophus/se3.hpp>
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#include <tbb/concurrent_unordered_map.h>
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#include <tbb/tbb.h>
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#include <pangolin/display/image_view.h>
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#include <pangolin/gl/gldraw.h>
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#include <pangolin/image/image.h>
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#include <pangolin/image/image_io.h>
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#include <pangolin/image/typed_image.h>
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#include <pangolin/pangolin.h>
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#include <CLI/CLI.hpp>
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#include <basalt/io/dataset_io.h>
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#include <basalt/spline/se3_spline.h>
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#include <basalt/calibration/calibration.hpp>
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#include <basalt/optical_flow/optical_flow.h>
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#include <basalt/serialization/headers_serialization.h>
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constexpr int UI_WIDTH = 200;
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void draw_image_overlay(pangolin::View& v, size_t cam_id);
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void load_data(const std::string& calib_path);
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bool next_step();
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bool prev_step();
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pangolin::Var<int> show_frame("ui.show_frame", 0, 0, 1500);
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pangolin::Var<bool> show_obs("ui.show_obs", true, false, true);
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pangolin::Var<bool> show_ids("ui.show_ids", false, false, true);
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using Button = pangolin::Var<std::function<void(void)>>;
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Button next_step_btn("ui.next_step", &next_step);
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Button prev_step_btn("ui.prev_step", &prev_step);
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pangolin::Var<bool> continue_btn("ui.continue", true, false, true);
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// Opt flow variables
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basalt::VioDatasetPtr vio_dataset;
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basalt::VioConfig vio_config;
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basalt::OpticalFlowBase::Ptr opt_flow_ptr;
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tbb::concurrent_unordered_map<int64_t, basalt::OpticalFlowResult::Ptr>
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observations;
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tbb::concurrent_bounded_queue<basalt::OpticalFlowResult::Ptr>
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observations_queue;
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basalt::Calibration<double> calib;
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std::unordered_map<basalt::KeypointId, int> keypoint_stats;
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void feed_images() {
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std::cout << "Started input_data thread " << std::endl;
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for (size_t i = 0; i < vio_dataset->get_image_timestamps().size(); i++) {
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basalt::OpticalFlowInput::Ptr data(new basalt::OpticalFlowInput);
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data->t_ns = vio_dataset->get_image_timestamps()[i];
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data->img_data = vio_dataset->get_image_data(data->t_ns);
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opt_flow_ptr->input_queue.push(data);
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}
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// Indicate the end of the sequence
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basalt::OpticalFlowInput::Ptr data;
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opt_flow_ptr->input_queue.push(data);
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std::cout << "Finished input_data thread " << std::endl;
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}
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void read_result() {
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std::cout << "Started read_result thread " << std::endl;
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basalt::OpticalFlowResult::Ptr res;
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while (true) {
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observations_queue.pop(res);
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if (!res.get()) break;
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res->input_images.reset();
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observations.emplace(res->t_ns, res);
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for (size_t i = 0; i < res->observations.size(); i++)
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for (const auto& kv : res->observations.at(i)) {
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if (keypoint_stats.count(kv.first) == 0) {
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keypoint_stats[kv.first] = 1;
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} else {
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keypoint_stats[kv.first]++;
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}
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}
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}
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std::cout << "Finished read_result thread " << std::endl;
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double sum = 0;
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for (const auto& kv : keypoint_stats) {
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sum += kv.second;
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}
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std::cout << "Mean track length: " << sum / keypoint_stats.size()
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<< " num_points: " << keypoint_stats.size() << std::endl;
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}
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int main(int argc, char** argv) {
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bool show_gui = true;
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std::string cam_calib_path;
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std::string dataset_path;
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std::string dataset_type;
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std::string config_path;
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CLI::App app{"App description"};
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app.add_option("--show-gui", show_gui, "Show GUI");
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app.add_option("--cam-calib", cam_calib_path,
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"Ground-truth camera calibration used for simulation.")
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->required();
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app.add_option("--dataset-path", dataset_path, "Path to dataset.")
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->required();
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app.add_option("--dataset-type", dataset_type, "Type of dataset.")
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->required();
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app.add_option("--config-path", config_path, "Path to config file.");
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try {
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app.parse(argc, argv);
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} catch (const CLI::ParseError& e) {
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return app.exit(e);
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}
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if (!config_path.empty()) {
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vio_config.load(config_path);
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}
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load_data(cam_calib_path);
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{
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basalt::DatasetIoInterfacePtr dataset_io =
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basalt::DatasetIoFactory::getDatasetIo(dataset_type);
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dataset_io->read(dataset_path);
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vio_dataset = dataset_io->get_data();
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vio_dataset->get_image_timestamps().erase(
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vio_dataset->get_image_timestamps().begin());
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show_frame.Meta().range[1] = vio_dataset->get_image_timestamps().size() - 1;
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show_frame.Meta().gui_changed = true;
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opt_flow_ptr =
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basalt::OpticalFlowFactory::getOpticalFlow(vio_config, calib);
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if (show_gui) opt_flow_ptr->output_queue = &observations_queue;
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observations_queue.set_capacity(100);
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keypoint_stats.reserve(50000);
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}
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std::thread t1(&feed_images);
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if (show_gui) {
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std::thread t2(&read_result);
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pangolin::CreateWindowAndBind("Main", 1800, 1000);
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glEnable(GL_DEPTH_TEST);
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pangolin::View& img_view_display =
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pangolin::CreateDisplay()
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.SetBounds(0, 1.0, pangolin::Attach::Pix(UI_WIDTH), 1.0)
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.SetLayout(pangolin::LayoutEqual);
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pangolin::CreatePanel("ui").SetBounds(0.0, 1.0, 0.0,
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pangolin::Attach::Pix(UI_WIDTH));
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std::vector<std::shared_ptr<pangolin::ImageView>> img_view;
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while (img_view.size() < calib.intrinsics.size()) {
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std::shared_ptr<pangolin::ImageView> iv(new pangolin::ImageView);
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size_t idx = img_view.size();
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img_view.push_back(iv);
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img_view_display.AddDisplay(*iv);
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iv->extern_draw_function =
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std::bind(&draw_image_overlay, std::placeholders::_1, idx);
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}
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while (!pangolin::ShouldQuit()) {
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glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
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glClearColor(0.95f, 0.95f, 0.95f, 1.0f);
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img_view_display.Activate();
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if (show_frame.GuiChanged()) {
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size_t frame_id = static_cast<size_t>(show_frame);
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int64_t timestamp = vio_dataset->get_image_timestamps()[frame_id];
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const std::vector<basalt::ImageData>& img_vec =
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vio_dataset->get_image_data(timestamp);
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for (size_t cam_id = 0; cam_id < calib.intrinsics.size(); cam_id++) {
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if (img_vec[cam_id].img.get()) {
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auto img = img_vec[cam_id].img;
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pangolin::GlPixFormat fmt;
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fmt.glformat = GL_LUMINANCE;
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fmt.gltype = GL_UNSIGNED_SHORT;
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fmt.scalable_internal_format = GL_LUMINANCE16;
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img_view[cam_id]->SetImage(img->ptr, img->w, img->h, img->pitch,
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fmt);
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} else {
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img_view[cam_id]->Clear();
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}
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}
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}
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pangolin::FinishFrame();
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if (continue_btn) {
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if (!next_step()) {
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continue_btn = false;
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}
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} else {
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std::this_thread::sleep_for(std::chrono::milliseconds(50));
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}
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}
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t2.join();
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}
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t1.join();
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return 0;
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}
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void draw_image_overlay(pangolin::View& v, size_t cam_id) {
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UNUSED(v);
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size_t frame_id = static_cast<size_t>(show_frame);
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int64_t t_ns = vio_dataset->get_image_timestamps()[frame_id];
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if (show_obs) {
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glLineWidth(1.0);
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glColor3f(1.0, 0.0, 0.0);
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glEnable(GL_BLEND);
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glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA);
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if (observations.count(t_ns) > 0) {
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const Eigen::aligned_map<basalt::KeypointId, Eigen::AffineCompact2f>&
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kp_map = observations.at(t_ns)->observations[cam_id];
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for (const auto& kv : kp_map) {
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Eigen::MatrixXf transformed_patch =
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kv.second.linear() * opt_flow_ptr->patch_coord;
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transformed_patch.colwise() += kv.second.translation();
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for (int i = 0; i < transformed_patch.cols(); i++) {
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const Eigen::Vector2f c = transformed_patch.col(i);
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pangolin::glDrawCirclePerimeter(c[0], c[1], 0.5f);
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}
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const Eigen::Vector2f c = kv.second.translation();
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if (show_ids)
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pangolin::GlFont::I().Text("%d", kv.first).Draw(5 + c[0], 5 + c[1]);
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}
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pangolin::GlFont::I()
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.Text("Tracked %d keypoints", kp_map.size())
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.Draw(5, 20);
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}
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}
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}
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void load_data(const std::string& calib_path) {
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std::ifstream os(calib_path, std::ios::binary);
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if (os.is_open()) {
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cereal::JSONInputArchive archive(os);
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archive(calib);
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std::cout << "Loaded camera with " << calib.intrinsics.size() << " cameras"
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<< std::endl;
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} else {
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std::cerr << "could not load camera calibration " << calib_path
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<< std::endl;
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std::abort();
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}
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}
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bool next_step() {
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if (show_frame < int(vio_dataset->get_image_timestamps().size()) - 1) {
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show_frame = show_frame + 1;
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show_frame.Meta().gui_changed = true;
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return true;
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} else {
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return false;
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}
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}
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bool prev_step() {
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if (show_frame > 0) {
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show_frame = show_frame - 1;
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show_frame.Meta().gui_changed = true;
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return true;
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} else {
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return false;
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}
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}
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