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https://github.com/karma-riuk/hdr_esim.git
synced 2024-11-16 11:20:25 +01:00
Added the logging of the frames and the exposure times to the camera simulator
(couldn't do it with the publisher because the info wasn't available in the sim_data)
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@ -1,11 +1,22 @@
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#include "esim/common/string_format.hpp"
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#include "opencv2/imgcodecs.hpp"
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#include <esim/esim/camera_simulator.hpp>
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#include <fstream>
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#include <iomanip>
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#include <ostream>
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#include <ze/common/file_utils.hpp>
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#define FRAME_DIR_PATH "/home/arno/sim_ws/out/frames"
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static uint frame_number = 0;
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static std::ofstream exposures_file_;
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static std::string output_folder = "/home/arno/sim_ws/out";
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namespace event_camera_simulator {
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void ImageBuffer::addImage(Time t, const Image& img)
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{
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if(!data_.empty())
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{
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void ImageBuffer::addImage(Time t, const Image& img) {
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if (!data_.empty()) {
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// Check that the image timestamps are monotonically increasing
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CHECK_GT(t, data_.back().stamp);
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}
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@ -16,47 +27,73 @@ void ImageBuffer::addImage(Time t, const Image& img)
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data_.push_back(ImageData(img.clone(), t, exposure_time));
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// Remove all the images with timestamp older than t - buffer_size_ns_
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auto first_valid_element = std::lower_bound(data_.begin(), data_.end(), t - buffer_size_ns_,
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[](ImageData lhs, Time rhs) -> bool { return lhs.stamp < rhs; });
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auto first_valid_element = std::lower_bound(
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data_.begin(),
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data_.end(),
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t - buffer_size_ns_,
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[](ImageData lhs, Time rhs) -> bool { return lhs.stamp < rhs; }
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);
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data_.erase(data_.begin(), first_valid_element);
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VLOG(3) << "first/last element in buffer: "
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<< data_.front().stamp
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VLOG(3) << "first/last element in buffer: " << data_.front().stamp
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<< " " << data_.back().stamp;
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VLOG(3) << "number of images in the buffer: " << data_.size();
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CHECK_LE(data_.back().stamp - data_.front().stamp, buffer_size_ns_);
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}
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}
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bool CameraSimulator::imageCallback(const Image &img, Time time,
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const ImagePtr& camera_image)
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{
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bool CameraSimulator::imageCallback(
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const Image& img, Time time, const ImagePtr& camera_image
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) {
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CHECK(camera_image);
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CHECK_EQ(camera_image->size(), img.size());
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buffer_->addImage(time, img);
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static const Time initial_time = time;
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if(time - initial_time < exposure_time_)
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{
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LOG_FIRST_N(WARNING, 1) << "The images do not cover a time span long enough to simulate the exposure time accurately.";
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if (time - initial_time < exposure_time_) {
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LOG_FIRST_N(WARNING, 1) << "The images do not cover a time span "
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"long enough to simulate the "
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"exposure time accurately.";
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return false;
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}
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// average all the images in the buffer to simulate motion blur
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camera_image->setTo(0);
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ze::real_t denom = 0.;
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for(const ImageBuffer::ImageData& img : buffer_->getRawBuffer())
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{
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*camera_image += ze::nanosecToMillisecTrunc(img.exposure_time) * img.image;
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for (const ImageBuffer::ImageData& img : buffer_->getRawBuffer()) {
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*camera_image +=
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ze::nanosecToMillisecTrunc(img.exposure_time) * img.image;
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denom += ze::nanosecToMillisecTrunc(img.exposure_time);
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}
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static uint frame_number = 0;
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std::stringstream ss;
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ss << output_folder << "/frames/frame_" << std::setfill('0')
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<< std::setw(5) << frame_number++ << ".exr";
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std::string frame_path = ss.str();
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cv::imwrite(frame_path, *camera_image);
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// ze::openOutputFileStream(
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// ze::joinPath(output_folder, "exposures.csv"),
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// &exposures_file_
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// );
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exposures_file_.open(
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ze::joinPath(output_folder, "exposures.csv"),
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std::ios::app
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);
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exposures_file_ << time << "," << frame_number << ","
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<< buffer_->getExposureTime() << std::endl;
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exposures_file_.close();
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*camera_image /= denom;
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cv::Mat disp;
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camera_image->convertTo(disp, CV_8U, 255);
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return true;
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}
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}
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} // namespace event_camera_simulator
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