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https://github.com/karma-riuk/hdr_esim.git
synced 2024-11-16 19:30:26 +01:00
fixed cv constants and pcl dependency on cpp14
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91243c39f3
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@ -3,6 +3,8 @@ project(esim_visualization)
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find_package(catkin_simple REQUIRED)
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find_package(catkin_simple REQUIRED)
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catkin_simple()
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catkin_simple()
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set(CMAKE_CXX_STANDARD 14)
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# This macro ensures modules and global scripts declared therein get installed
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# This macro ensures modules and global scripts declared therein get installed
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# See http://ros.org/doc/api/catkin/html/user_guide/setup_dot_py.html
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# See http://ros.org/doc/api/catkin/html/user_guide/setup_dot_py.html
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@ -82,7 +82,7 @@ void AdaptiveSamplingBenchmarkPublisher::imageCallback(const ImagePtrVector& ima
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if(image_index_ == 0)
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if(image_index_ == 0)
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{
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{
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static const std::vector<int> compression_params = {CV_IMWRITE_PNG_COMPRESSION, 0};
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static const std::vector<int> compression_params = {cv::IMWRITE_PNG_COMPRESSION, 0};
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std::stringstream ss;
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std::stringstream ss;
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ss << ze::joinPath(FLAGS_adaptive_sampling_benchmark_folder, "image_");
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ss << ze::joinPath(FLAGS_adaptive_sampling_benchmark_folder, "image_");
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@ -80,7 +80,7 @@ SyntheticOpticFlowPublisher::~SyntheticOpticFlowPublisher()
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std::string path_timestamps_neg = ze::joinPath(output_folder_, "event_time_stamps_neg.png");
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std::string path_timestamps_neg = ze::joinPath(output_folder_, "event_time_stamps_neg.png");
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std::vector<int> compression_params;
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std::vector<int> compression_params;
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compression_params.push_back(CV_IMWRITE_PNG_COMPRESSION);
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compression_params.push_back(cv::IMWRITE_PNG_COMPRESSION);
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compression_params.push_back(0);
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compression_params.push_back(0);
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cv::imwrite(path_event_count_image, event_count_image, compression_params);
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cv::imwrite(path_event_count_image, event_count_image, compression_params);
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@ -90,7 +90,7 @@ void Object::draw(Time t, bool is_first_layer)
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canvas_,
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canvas_,
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M_10,
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M_10,
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canvas_.size(),
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canvas_.size(),
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CV_INTER_LINEAR,
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cv::INTER_LINEAR,
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border_mode);
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border_mode);
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cv::Matx<FloatType, 3, 3> SS = dM10_dt * M_10.inv();
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cv::Matx<FloatType, 3, 3> SS = dM10_dt * M_10.inv();
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@ -101,7 +101,7 @@ void PanoramaRenderer::render(const Transformation& T_W_C, const ImagePtr& out_i
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}
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}
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}
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}
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cv::remap(texture_, *out_image, map_x_, map_y_, CV_INTER_LINEAR, cv::BORDER_REFLECT_101);
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cv::remap(texture_, *out_image, map_x_, map_y_, cv::INTER_LINEAR, cv::BORDER_REFLECT_101);
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if(out_depthmap)
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if(out_depthmap)
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{
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{
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@ -111,7 +111,7 @@ void PlanarRenderer::render(const Transformation& T_W_C, const ImagePtr& out_ima
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int border = (extend_border_) ? cv::BORDER_REFLECT : cv::BORDER_CONSTANT;
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int border = (extend_border_) ? cv::BORDER_REFLECT : cv::BORDER_CONSTANT;
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{
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{
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auto t = timers_planar_renderer[TimerPlanarRenderer::remap].timeScope();
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auto t = timers_planar_renderer[TimerPlanarRenderer::remap].timeScope();
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cv::remap(texture_, *out_image, map_x_, map_y_, CV_INTER_LINEAR, border, 0.8);
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cv::remap(texture_, *out_image, map_x_, map_y_, cv::INTER_LINEAR, border, 0.8);
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}
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}
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// Compute depth map in dst
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// Compute depth map in dst
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@ -115,7 +115,7 @@ void UnrealCvRenderer::render(const Transformation& T_W_C, const ImagePtr& out_i
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ss_nr << std::setw(10) << std::setfill('0') << frame_idx_;
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ss_nr << std::setw(10) << std::setfill('0') << frame_idx_;
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std::string path_frame = ze::joinPath(FLAGS_unrealcv_output_directory, "frame_" + ss_nr.str() + ".png");
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std::string path_frame = ze::joinPath(FLAGS_unrealcv_output_directory, "frame_" + ss_nr.str() + ".png");
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VLOG(1) << "Saving raw RGB image to: " << path_frame;
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VLOG(1) << "Saving raw RGB image to: " << path_frame;
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cv::imwrite(path_frame, img, {CV_IMWRITE_PNG_COMPRESSION, 9});
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cv::imwrite(path_frame, img, {cv::IMWRITE_PNG_COMPRESSION, 9});
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}
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}
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cv::Mat img_gray;
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cv::Mat img_gray;
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