diff --git a/.catkin_workspace b/.catkin_workspace new file mode 100644 index 0000000..52fd97e --- /dev/null +++ b/.catkin_workspace @@ -0,0 +1 @@ +# This file currently only serves to mark the location of a catkin workspace for tool integration diff --git a/.gitignore b/.gitignore index 5acb669..66505ca 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,3 @@ -build +/build +/devel .vscode diff --git a/README.md b/README.md index eaf0f64..cd59d97 100644 --- a/README.md +++ b/README.md @@ -1 +1,7 @@ -# livox_detect \ No newline at end of file +# livox_detect + +catkin_make + +source devel/setup.bash + +roslaunch livox_detect livox_detection.launch diff --git a/models/livox_backbone_sim.onnx b/models/livox_backbone_sim.onnx deleted file mode 100644 index dde5313..0000000 Binary files a/models/livox_backbone_sim.onnx and /dev/null differ diff --git a/models/livox_detection_sim.engine b/models/livox_detection_sim.engine deleted file mode 100644 index 4e3892d..0000000 Binary files a/models/livox_detection_sim.engine and /dev/null differ diff --git a/readme.md b/readme.md deleted file mode 100755 index 46949aa..0000000 --- a/readme.md +++ /dev/null @@ -1,17 +0,0 @@ -# 知识点 -1. 使用智能指针,对tensorrt返回值做封装,使得内存安全不会泄露 - ```c++ - template - shared_ptr<_T> make_nvshared(_T* ptr){ - return shared_ptr<_T>(ptr, [](_T* p){p->destroy();}); - } - // [](_T* p){p->destroy();} 这里用lambda 表达式的形式来表示 destroy 的方式 - ``` - - 因为他常常需要destroy进行释放 -2. 使用cudaMallocHost对输入的host进行分配,使得主机内存复制到设备效率更高 -3. 注意推理时的预处理,指定了rgb与bgr对调 -4. 如果需要多个图像推理,需要: - 1. 在编译时,指定maxbatchsize为多个图 - 2. 在推理时,指定输入的bindings shape的batch维度为使用的图像数,要求小于等于maxbatchsize - 3. 在收取结果的时候,tensor的shape是input指定的batch大小,按照batch处理即可 - \ No newline at end of file diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt new file mode 120000 index 0000000..66dd650 --- /dev/null +++ b/src/CMakeLists.txt @@ -0,0 +1 @@ +/opt/ros/melodic/share/catkin/cmake/toplevel.cmake \ No newline at end of file diff --git a/src/autoware_msgs/CHANGELOG.rst b/src/autoware_msgs/CHANGELOG.rst new file mode 100755 index 0000000..1fd1530 --- /dev/null +++ b/src/autoware_msgs/CHANGELOG.rst @@ -0,0 +1,469 @@ +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +Changelog for package autoware_msgs +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +1.13.0 (2019-12-03) +------------------- +* Adding service message for TF-based TLR +* Update package.xml files to Format 2. +* Contributors: Joshua Whitley + +1.12.0 (2019-07-12) +------------------- + +1.11.0 (2019-03-21) +------------------- +* [Feature] Rebuild decision maker (`#1609 `_) +* Fix license notice in corresponding package.xml +* Cleanup WaypointState.msg and add sttering_state=STR_BACK (`#1822 `_) +* Initial release of object filter +* Contributors: Abraham Monrroy, Kenji Funaoka, amc-nu, s-azumi + +1.10.0 (2019-01-17) +------------------- +* Feature/perception visualization cleanup (`#1648 `_) + * * Initial commit for visualization package + * Removal of all visualization messages from perception nodes + * Visualization dependency removal + * Launch file modification + * * Fixes to visualization + * Error on Clustering CPU + * Reduce verbosity on markers + * intial commit + * * Changed to 2 spaces indentation + * Added README + * Fixed README messages type + * 2 space indenting + * ros clang format + * Publish acceleration and velocity from ukf tracker + * Remove hardcoded path + * Updated README + * updated prototype + * Prototype update for header and usage + * Removed unknown label from being reported + * Updated publishing orientation to match develop + * * Published all the trackers + * Added valid field for visualization and future compatibility with ADAS ROI filtering + * Add simple functions + * Refacor code + * * Reversed back UKF node to develop + * Formatted speed + * Refactor codes + * Refactor codes + * Refactor codes + * Refacor codes + * Make tracking visualization work + * Relay class info in tracker node + * Remove dependency to jskbbox and rosmarker in ukf tracker + * apply rosclang to ukf tracker + * Refactor codes + * Refactor codes + * add comment + * refactor codes + * Revert "Refactor codes" + This reverts commit 135aaac46e49cb18d9b76611576747efab3caf9c. + * Revert "apply rosclang to ukf tracker" + This reverts commit 4f8d1cb5c8263a491f92ae5321e5080cb34b7b9c. + * Revert "Remove dependency to jskbbox and rosmarker in ukf tracker" + This reverts commit 4fa1dd40ba58065f7afacc5e478001078925b27d. + * Revert "Relay class info in tracker node" + This reverts commit 1637baac44c8d3d414cc069f3af12a79770439ae. + * delete dependency to jsk and remove pointcloud_frame + * get direction nis + * set velocity_reliable true in tracker node + * Add divided function + * add function + * Sanity checks + * Relay all the data from input DetectedObject + * Divided function work both for immukf and sukf + * Add comment + * Refactor codes + * Pass immukf test + * make direction assisted tracking work + * Visualization fixes + * Refacor codes + * Refactor codes + * Refactor codes + * refactor codes + * refactor codes + * Refactor codes + * refactor codes + * Tracker Merging step added + * Added launch file support for merging phase + * lane assisted with sukf + * Refactor codes + * Refactor codes + * * change only static objects + * keep label of the oldest tracker + * Static Object discrimination + * Non rotating bouding box + * no disappear if detector works + * Modify removeRedundant a bit + * Replacement of JSK visualization for RViz Native Markers + * Added Models namespace to visualization + * Naming change for matching the perception component graph + * * Added 3D Models for different classes in visualization + * 2D Rect node visualize_rects added to visualization_package +* Fix Ndt/NDT naming convention +* Contributors: Abraham Monrroy Cano, Esteve Fernandez + +1.9.1 (2018-11-06) +------------------ + +1.9.0 (2018-10-31) +------------------ +* Moved CAN mesages to autoware_can_msgs +* Moved configuration messages to autoware_config_msgs +* [fix] PascalCase messages (`#1408 `_) + * Switch message files to pascal case + * Switch message names to pascal case in Runtime Manager + * Switch message names to pascal case in *.yaml + * Rename brake_cmd and steer_cmd to BrakeCmd and SteerCmd in main.yaml +* Feature/compare map filter (`#1559 `_) + * add compare map filter + * add README + * add copyright + * change default parameter + * fix typo + * clang-format + * Revert "clang-format" + This reverts commit 95869328f35f6ed1e918c26901ad36ab9737e466. + * retry clang-format +* Contributors: Esteve Fernandez, YamatoAndo + +1.8.0 (2018-08-31) +------------------ +* Support old behavior of insert static object for obstacle avoidance testing + Only one simulated car available in the runtime manager + update for copywrite note + insert autoware_build_flags to new nodes +* Feature/std perception msg (`#1418 `_) + * New standard message definition for the perception nodes + * New Detected Object message applied to: + * SSD + * Integrated RVIZ viewer + * External Viewer + * modified yolo2 and yolo3, compiles but cuda issues, trying different PC + * Boiler plate for range vision fusion node + * Added GenColors for Kinetic + Typo fixes for yolo2 + * testing colors in Yolo3 + * Completed transformation, projection of 3D boxes + * Fixed error on negative assignation + * code clean up + * removed yolo2 and yolo3, replaced by single darknet node. GUI launches yolo3 for now, to change. Pushing to test code on other PC. + * Readme updated, added gitignore for data folder. + * *Added Runtime manager UI for yolo2, yolo3. + *Support tested for TinyYolo v2 and v3 + * Fusion Vision Range + Icons for viewer + * Range Vision Fusion node + * Indigo cv im read + * Indigo compiation fix + * Topic renaming according to new spec + * Try to fix arm64 stuff + * * Added launch file + * Added Runtime manager entry + * * Added Publication of non fused objects + * Fixed topic names +* add max_scan_range to ConfigNDTMapping/ConfigApproximateNDTMapping +* Update OpenPlanner libraries (op_planner, op_utitity, op_ros_helpers) + Update ring ground filter with latest implementation + Update lidar_kf_contour_track with latest implementation + Add op_utilities nodes (op_bag_player, op_data_logger, op_pose2tf) + Modify autoware_msgs for OpenPlanner use (CloudCluster, DetectedObject, lane, waypoint) + Update UI computing.yaml for the new nodes and modifies parameters + Update UI sensing.yaml for updated ring_ground_filter params +* Modify points_concat_filter to support up to 8 lidars +* Contributors: Abraham Monrroy, Akihito Ohsato, hatem-darweesh, yukikitsukawa + +1.7.0 (2018-05-18) +------------------ +* update Version from 1.6.3 to 1.7.0 in package.xml and CHANGELOG.rst +* [Fix] rename packages (`#1269 `_) + * rename lidar_tracker + * Modify pf_lidar_track's cmake file + * Refactor code + * Rename from euclidean_lidar_tracker to lidar_euclidean_track + * Rename from kf_contour_track to lidar_kf_contour_track + * Rename from kf_lidar_track to lidar_kf_track, but need some modification in euclidean cluster(Cluster.h) + * Rename from pf_lidar_tarck to lidar_pf_track + * Rename range_fusion + * Rename obj_reproj + * Rename euclidean_cluster to lidar_euclidean_cluster_detect + * Rename svm_lidar_detect to lidar_svm_detect + * Rename kf_lidar_track to lidar_kf_track + * Change version 1.6.3 to 1.7.0 in pacakge.xml + * Modify CMake so that extrenal header would be loaded + * Remove obj_reproj from cv_tracker + * Add interface.yaml + * Rename road_wizard to trafficlight_recognizer + * create common directory + * Add lidar_imm_ukf_pda_track + * create vision_detector and moved cv + * Modify interface.yaml and package.xml + * remove dpm_ocv + * moved directory + * Delete unnecessary launch file + * Delete rcnn related file and code + * separated dummy_track from cv_tracker + * separated klt_track from cv_tracker + * Fix a cmake + * Remove unnecessary dependency of lidar_euclidean_cluster_detect package + * Rename image_segmenter to vision_segment_enet_detect + * Remove unnecessary dependency of lidar_svm_detect package + * separated kf_track and fix a some compiling issue + * move viewers + * merge ndt_localizer and icp_localizer, and rename to lidar_localizer + * Remove unnecessary dependency of lidar_euclidean_track + * moved image lib + * add launch + * lib move under lidar_tracker + * Rename dpm_ttic to vision_dpm_ttic_detect + * rename yolo3detector to vision_yolo3_detect + * Modify cmake and package.xml in vision_dpm_ttic_detect + * moved sourcefiles into nodes dir + * moved sourcefiles into nodes dir + * Move cv_tracker/data folder and delete cv_tracker/model folder + * fix a package file and cmake + * Rename yolo2 -> vision_yolo2_detect + * fix a package file and cmake + * Fix package name of launch file + * Rename ssd to vision_ssd_detect + * fixed cmake and package for decerese dependencies + * remove top packages dir for detection + * fixed cmake for cuda + * Rename lane_detector to vision_lane_detect + * Modify package.xml in lidar-related packages + * Remove unnecessary dependencies in lidar_detector and lidar_tracker + * Modify computing.yaml for dpm_ttic + * Modify dpm_ttic launch file + * Remove/Add dependencies to trafficlight_recognizer + * Update data folder in dpm_ttic + * Modified CMake and package file in dpm_ttic. + * Remove src dir in imm_ukf_pda_track + * removed unnecessary comments + * rename lidar_tracker + * Modify pf_lidar_track's cmake file + * Refactor code + * Rename from euclidean_lidar_tracker to lidar_euclidean_track + * Rename from kf_contour_track to lidar_kf_contour_track + * Rename from kf_lidar_track to lidar_kf_track, but need some modification in euclidean cluster(Cluster.h) + * Rename from pf_lidar_tarck to lidar_pf_track + * Rename range_fusion + * Rename obj_reproj + * Rename road_wizard to trafficlight_recognizer + * Rename euclidean_cluster to lidar_euclidean_cluster_detect + * Rename svm_lidar_detect to lidar_svm_detect + * Rename kf_lidar_track to lidar_kf_track + * Change version 1.6.3 to 1.7.0 in pacakge.xml + * Modify CMake so that extrenal header would be loaded + * Remove obj_reproj from cv_tracker + * Add interface.yaml + * create common directory + * Add lidar_imm_ukf_pda_track + * create vision_detector and moved cv + * Modify interface.yaml and package.xml + * remove dpm_ocv + * moved directory + * Delete unnecessary launch file + * Delete rcnn related file and code + * separated dummy_track from cv_tracker + * separated klt_track from cv_tracker + * Fix a cmake + * Remove unnecessary dependency of lidar_euclidean_cluster_detect package + * Rename image_segmenter to vision_segment_enet_detect + * Remove unnecessary dependency of lidar_svm_detect package + * separated kf_track and fix a some compiling issue + * move viewers + * merge ndt_localizer and icp_localizer, and rename to lidar_localizer + * Remove unnecessary dependency of lidar_euclidean_track + * moved image lib + * add launch + * lib move under lidar_tracker + * Rename dpm_ttic to vision_dpm_ttic_detect + * rename yolo3detector to vision_yolo3_detect + * Modify cmake and package.xml in vision_dpm_ttic_detect + * moved sourcefiles into nodes dir + * moved sourcefiles into nodes dir + * Move cv_tracker/data folder and delete cv_tracker/model folder + * fix a package file and cmake + * Rename yolo2 -> vision_yolo2_detect + * fix a package file and cmake + * Fix package name of launch file + * Rename ssd to vision_ssd_detect + * fixed cmake and package for decerese dependencies + * remove top packages dir for detection + * fixed cmake for cuda + * Rename lane_detector to vision_lane_detect + * Modify package.xml in lidar-related packages + * Remove unnecessary dependencies in lidar_detector and lidar_tracker + * Modify computing.yaml for dpm_ttic + * Modify dpm_ttic launch file + * Remove/Add dependencies to trafficlight_recognizer + * Update data folder in dpm_ttic + * Modified CMake and package file in dpm_ttic. + * Remove src dir in imm_ukf_pda_track + * Fix bug for not starting run time manager + * Remove invalid dependency +* Return disable_decision_maker to rosparam +* Rename class and functions filter->replan +* Fix message +* Fix config message path +* change can_translator + - Support to vehicle_status(can intermediate layer) + - Separate the can translator and the odometry. + - Support to output vehicle autonomous mode +* add vehicle_status msg +* Add end point offset option +* Fix/cmake cleanup (`#1156 `_) + * Initial Cleanup + * fixed also for indigo + * kf cjeck + * Fix road wizard + * Added travis ci + * Trigger CI + * Fixes to cv_tracker and lidar_tracker cmake + * Fix kitti player dependencies + * Removed unnecessary dependencies + * messages fixing for can + * Update build script travis + * Travis Path + * Travis Paths fix + * Travis test + * Eigen checks + * removed unnecessary dependencies + * Eigen Detection + * Job number reduced + * Eigen3 more fixes + * More Eigen3 + * Even more Eigen + * find package cmake modules included + * More fixes to cmake modules + * Removed non ros dependency + * Enable industrial_ci for indidog and kinetic + * Wrong install command + * fix rviz_plugin install + * FastVirtualScan fix + * Fix Qt5 Fastvirtualscan + * Fixed qt5 system dependencies for rosdep + * NDT TKU Fix catkin not pacakged + * Fixes from industrial_ci +* add ctrl_cmd/cmd/linear_acceletion +* Correspond to new version of waypoint_csv(for decision_maker) +* fix runtime_manager layout and description +* Add config_callback for online waypoint tuning +* Separate configration for speed planning against obstacle/stopline (Note: no logics changed) +* parametrize detection area +* add ratio for stopline target +* Add a transition to stopstate to re-start only manually +* add new param for decision_maker +* Contributors: Abraham Monrroy, Akihito Ohsato, Dejan Pangercic, Kosuke Murakami, Yamato ANDO, Yuma, Yuma Nihei, Yusuke FUJII + +1.6.3 (2018-03-06) +------------------ + +1.6.2 (2018-02-27) +------------------ +* Update CHANGELOG +* Contributors: Yusuke FUJII + +1.6.1 (2018-01-20) +------------------ +* update CHANGELOG +* Contributors: Yusuke FUJII + +1.6.0 (2017-12-11) +------------------ +* Prepare release for 1.6.0 +* Added support to publish result of multiple traffic signals according to the lane + VectorMapServer Support to publish signals on current lane if current_pose and final_waypoints available +* Initial modifications to feat_proj, tlr, context and vector_map loader, server and client to support different types of traffic signals +* - Add new Node for object polygon representation and tracking (kf_contour_tracker) + - Add launch file and tune tracking parameters + - Test with Moriyama rosbag +* Fixed: + - callback + - laneshift + Added: + - publisher for laneid + - new lanechange flag + - new param for decisionMaker +* add to insert shift lane +* Support to lanechange similar to state_machine(old) package +* Changed path state recognition to the way based on /lane_waypoints_array +* Fix build error, add msg definition +* Rename and merge msgs +* add path velocity smoothing +* add msg of waypointstate for decision_maker +* Feature/fusion_filter - fusion multiple lidar (`#842 `_) + * Add fusion_filter to merge multiple lidar pointclouds + * Refactor fusion_filter + * Apply clang-format and rebase develop + * Add fusion_filter launch and runtime_manager config + * Fix names, fusion_filter -> points_concat_filter + * Fix build error in ros-indigo + * Fix some default message/frame names + * Refactor code and apply clang-format + * Add configrations for runtime_manager + * Fix CMake +* refactor code +* refactor code +* refactor msg and add blinker to msg +* Add ground_filter config for runtime_manager (`#828 `_) +* Ray Ground Filter Initial Commit +* add approximate_ndt_mapping (`#811 `_) +* add new msg and rename msg +* add mqtt sender +* Contributors: AMC, Akihito Ohsato, Yamato ANDO, Yuki Iida, Yuki Kitsukawa, Yusuke FUJII, hatem-darweesh + +1.5.1 (2017-09-25) +------------------ +* Release/1.5.1 (`#816 `_) + * fix a build error by gcc version + * fix build error for older indigo version + * update changelog for v1.5.1 + * 1.5.1 +* Contributors: Yusuke FUJII + +1.5.0 (2017-09-21) +------------------ +* Update changelog +* update decision maker config +* Add to support dynamical parameter for decision_maker +* Add decision_maker config +* add config parameter +* autoware_msgs does not depend on jsk_rviz_plugin, cmake and package.xml were not correct +* Contributors: Dejan Pangercic, Yusuke FUJII + +1.4.0 (2017-08-04) +------------------ +* version number must equal current release number so we can start releasing in the future +* added changelogs +* Contributors: Dejan Pangercic + +1.3.1 (2017-07-16) +------------------ + +1.3.0 (2017-07-14) +------------------ +* convert to autoware_msgs +* Contributors: YamatoAndo + +1.2.0 (2017-06-07) +------------------ + +1.1.2 (2017-02-27 23:10) +------------------------ + +1.1.1 (2017-02-27 22:25) +------------------------ + +1.1.0 (2017-02-24) +------------------ + +1.0.1 (2017-01-14) +------------------ + +1.0.0 (2016-12-22) +------------------ diff --git a/src/autoware_msgs/CMakeLists.txt b/src/autoware_msgs/CMakeLists.txt new file mode 100755 index 0000000..e99f2b3 --- /dev/null +++ b/src/autoware_msgs/CMakeLists.txt @@ -0,0 +1,88 @@ +cmake_minimum_required(VERSION 2.8.3) +project(autoware_msgs) + +find_package(catkin REQUIRED COMPONENTS + geometry_msgs + jsk_recognition_msgs + message_generation + sensor_msgs + std_msgs +) + +add_message_files( + DIRECTORY msg + FILES + AccelCmd.msg + AdjustXY.msg + BrakeCmd.msg + Centroids.msg + CloudCluster.msg + CloudClusterArray.msg + ColorSet.msg + ControlCommand.msg + ControlCommandStamped.msg + DTLane.msg + DetectedObject.msg + DetectedObjectArray.msg + ExtractedPosition.msg + Gear.msg + GeometricRectangle.msg + ICPStat.msg + ImageLaneObjects.msg + ImageObj.msg + ImageObjRanged.msg + ImageObjTracked.msg + ImageObjects.msg + ImageRect.msg + ImageRectRanged.msg + IndicatorCmd.msg + LampCmd.msg + Lane.msg + LaneArray.msg + NDTStat.msg + ObjLabel.msg + ObjPose.msg + PointsImage.msg + ProjectionMatrix.msg + RemoteCmd.msg + ScanImage.msg + Signals.msg + State.msg + StateCmd.msg + SteerCmd.msg + SyncTimeDiff.msg + SyncTimeMonitor.msg + TrafficLight.msg + TrafficLightResult.msg + TrafficLightResultArray.msg + TunedResult.msg + ValueSet.msg + VehicleCmd.msg + VehicleLocation.msg + VehicleStatus.msg + VscanTracked.msg + VscanTrackedArray.msg + Waypoint.msg + WaypointState.msg +) + +add_service_files( + FILES RecognizeLightState.srv +) + +# generate_messages( +# DEPENDENCIES +# geometry_msgs +# jsk_recognition_msgs +# sensor_msgs +# std_msgs +# ) + +catkin_package( + CATKIN_DEPENDS + geometry_msgs + jsk_recognition_msgs + message_runtime + sensor_msgs + std_msgs +) diff --git a/src/autoware_msgs/msg/AccelCmd.msg b/src/autoware_msgs/msg/AccelCmd.msg new file mode 100755 index 0000000..3bced22 --- /dev/null +++ b/src/autoware_msgs/msg/AccelCmd.msg @@ -0,0 +1,2 @@ +Header header +int32 accel diff --git a/src/autoware_msgs/msg/AdjustXY.msg b/src/autoware_msgs/msg/AdjustXY.msg new file mode 100755 index 0000000..f90c91d --- /dev/null +++ b/src/autoware_msgs/msg/AdjustXY.msg @@ -0,0 +1,3 @@ +Header header +int32 x +int32 y diff --git a/src/autoware_msgs/msg/BrakeCmd.msg b/src/autoware_msgs/msg/BrakeCmd.msg new file mode 100755 index 0000000..5f0e658 --- /dev/null +++ b/src/autoware_msgs/msg/BrakeCmd.msg @@ -0,0 +1,2 @@ +Header header +int32 brake diff --git a/src/autoware_msgs/msg/CameraExtrinsic.msg b/src/autoware_msgs/msg/CameraExtrinsic.msg new file mode 100755 index 0000000..fa4a16c --- /dev/null +++ b/src/autoware_msgs/msg/CameraExtrinsic.msg @@ -0,0 +1,4 @@ +Header header +uint32 xsize=4 +uint32 ysize=4 +float64[] calibration diff --git a/src/autoware_msgs/msg/Centroids.msg b/src/autoware_msgs/msg/Centroids.msg new file mode 100755 index 0000000..dedd9d9 --- /dev/null +++ b/src/autoware_msgs/msg/Centroids.msg @@ -0,0 +1,2 @@ +std_msgs/Header header +geometry_msgs/Point[] points diff --git a/src/autoware_msgs/msg/CloudCluster.msg b/src/autoware_msgs/msg/CloudCluster.msg new file mode 100755 index 0000000..cf7f37f --- /dev/null +++ b/src/autoware_msgs/msg/CloudCluster.msg @@ -0,0 +1,31 @@ +std_msgs/Header header + +uint32 id +string label +float64 score + +sensor_msgs/PointCloud2 cloud + +geometry_msgs/PointStamped min_point +geometry_msgs/PointStamped max_point +geometry_msgs/PointStamped avg_point +geometry_msgs/PointStamped centroid_point + +float64 estimated_angle + +geometry_msgs/Vector3 dimensions +geometry_msgs/Vector3 eigen_values +geometry_msgs/Vector3[] eigen_vectors + +#Array of 33 floats containing the FPFH descriptor +std_msgs/Float32MultiArray fpfh_descriptor + +jsk_recognition_msgs/BoundingBox bounding_box +geometry_msgs/PolygonStamped convex_hull + +# Indicator information +# INDICATOR_LEFT 0 +# INDICATOR_RIGHT 1 +# INDICATOR_BOTH 2 +# INDICATOR_NONE 3 +uint32 indicator_state \ No newline at end of file diff --git a/src/autoware_msgs/msg/CloudClusterArray.msg b/src/autoware_msgs/msg/CloudClusterArray.msg new file mode 100755 index 0000000..b8f7221 --- /dev/null +++ b/src/autoware_msgs/msg/CloudClusterArray.msg @@ -0,0 +1,2 @@ +std_msgs/Header header +CloudCluster[] clusters \ No newline at end of file diff --git a/src/autoware_msgs/msg/ColorSet.msg b/src/autoware_msgs/msg/ColorSet.msg new file mode 100755 index 0000000..836df79 --- /dev/null +++ b/src/autoware_msgs/msg/ColorSet.msg @@ -0,0 +1,3 @@ +ValueSet Hue +ValueSet Sat +ValueSet Val diff --git a/src/autoware_msgs/msg/ControlCommand.msg b/src/autoware_msgs/msg/ControlCommand.msg new file mode 100755 index 0000000..890b1ce --- /dev/null +++ b/src/autoware_msgs/msg/ControlCommand.msg @@ -0,0 +1,3 @@ +float64 linear_velocity +float64 linear_acceleration #m/s^2 +float64 steering_angle diff --git a/src/autoware_msgs/msg/ControlCommandStamped.msg b/src/autoware_msgs/msg/ControlCommandStamped.msg new file mode 100755 index 0000000..8df6cea --- /dev/null +++ b/src/autoware_msgs/msg/ControlCommandStamped.msg @@ -0,0 +1,2 @@ +Header header +ControlCommand cmd diff --git a/src/autoware_msgs/msg/DTLane.msg b/src/autoware_msgs/msg/DTLane.msg new file mode 100755 index 0000000..0e400d1 --- /dev/null +++ b/src/autoware_msgs/msg/DTLane.msg @@ -0,0 +1,8 @@ +float64 dist +float64 dir +float64 apara +float64 r +float64 slope +float64 cant +float64 lw +float64 rw diff --git a/src/autoware_msgs/msg/DetectedObject.msg b/src/autoware_msgs/msg/DetectedObject.msg new file mode 100755 index 0000000..16dbb7c --- /dev/null +++ b/src/autoware_msgs/msg/DetectedObject.msg @@ -0,0 +1,43 @@ +std_msgs/Header header + +uint32 id +string label +float32 score #Score as defined by the detection, Optional +std_msgs/ColorRGBA color # Define this object specific color +bool valid # Defines if this object is valid, or invalid as defined by the filtering + +################ 3D BB +string space_frame #3D Space coordinate frame of the object, required if pose and dimensions are defines +geometry_msgs/Pose pose +geometry_msgs/Vector3 dimensions +geometry_msgs/Vector3 variance +geometry_msgs/Twist velocity +geometry_msgs/Twist acceleration + +sensor_msgs/PointCloud2 pointcloud + +geometry_msgs/PolygonStamped convex_hull +autoware_msgs/LaneArray candidate_trajectories + +bool pose_reliable +bool velocity_reliable +bool acceleration_reliable + +############### 2D Rect +string image_frame # Image coordinate Frame, Required if x,y,w,h defined +int32 x # X coord in image space(pixel) of the initial point of the Rect +int32 y # Y coord in image space(pixel) of the initial point of the Rect +int32 width # Width of the Rect in pixels +int32 height # Height of the Rect in pixels +float32 angle # Angle [0 to 2*PI), allow rotated rects + +sensor_msgs/Image roi_image + +############### Indicator information +uint8 indicator_state # INDICATOR_LEFT = 0, INDICATOR_RIGHT = 1, INDICATOR_BOTH = 2, INDICATOR_NONE = 3 + +############### Behavior State of the Detected Object +uint8 behavior_state # FORWARD_STATE = 0, STOPPING_STATE = 1, BRANCH_LEFT_STATE = 2, BRANCH_RIGHT_STATE = 3, YIELDING_STATE = 4, ACCELERATING_STATE = 5, SLOWDOWN_STATE = 6 + +# +string[] user_defined_info \ No newline at end of file diff --git a/src/autoware_msgs/msg/DetectedObjectArray.msg b/src/autoware_msgs/msg/DetectedObjectArray.msg new file mode 100755 index 0000000..7866cbb --- /dev/null +++ b/src/autoware_msgs/msg/DetectedObjectArray.msg @@ -0,0 +1,2 @@ +std_msgs/Header header +DetectedObject[] objects \ No newline at end of file diff --git a/src/autoware_msgs/msg/ExtractedPosition.msg b/src/autoware_msgs/msg/ExtractedPosition.msg new file mode 100755 index 0000000..ff12077 --- /dev/null +++ b/src/autoware_msgs/msg/ExtractedPosition.msg @@ -0,0 +1,15 @@ +# This message defines the information required to describe a lamp (bulb) +# in a traffic signal, according to the information extracted from the ADAS Map +# and the extrinsic camera calibration + +int32 signalId # Traffic Signal Lamp ID +int32 u # Lamp ROI x in image coords +int32 v # Lamp ROI y in image coords +int32 radius # Lamp Radius +float64 x # X position in map coordinates +float64 y # Y position in map coordinates +float64 z # Z position in map coordinates +float64 hang # Azimuth "Horizontal Angle" +int8 type # Lamp Type (red, yellow, green, ...) +int32 linkId # Closest LinkID (lane) in VectorMap +int32 plId # PoleID to which this Lamp belongs to diff --git a/src/autoware_msgs/msg/Gear.msg b/src/autoware_msgs/msg/Gear.msg new file mode 100755 index 0000000..b7e1b83 --- /dev/null +++ b/src/autoware_msgs/msg/Gear.msg @@ -0,0 +1,7 @@ +uint8 NONE=0 +uint8 PARK=1 +uint8 REVERSE=2 +uint8 NEUTRAL=3 +uint8 DRIVE=4 +uint8 LOW=5 +uint8 gear \ No newline at end of file diff --git a/src/autoware_msgs/msg/GeometricRectangle.msg b/src/autoware_msgs/msg/GeometricRectangle.msg new file mode 100755 index 0000000..4a85d9c --- /dev/null +++ b/src/autoware_msgs/msg/GeometricRectangle.msg @@ -0,0 +1,4 @@ +float32 wl +float32 wr +float32 lf +float32 lb \ No newline at end of file diff --git a/src/autoware_msgs/msg/ICPStat.msg b/src/autoware_msgs/msg/ICPStat.msg new file mode 100755 index 0000000..d4431ab --- /dev/null +++ b/src/autoware_msgs/msg/ICPStat.msg @@ -0,0 +1,7 @@ +Header header +float32 exe_time +#int32 iteration +float32 score +float32 velocity +float32 acceleration +int32 use_predict_pose diff --git a/src/autoware_msgs/msg/ImageLaneObjects.msg b/src/autoware_msgs/msg/ImageLaneObjects.msg new file mode 100755 index 0000000..7d8eeb4 --- /dev/null +++ b/src/autoware_msgs/msg/ImageLaneObjects.msg @@ -0,0 +1,9 @@ +Header header +int32 lane_l_x1 # Left Lane +int32 lane_l_y1 +int32 lane_l_x2 +int32 lane_l_y2 +int32 lane_r_x1 # Right Lane +int32 lane_r_y1 +int32 lane_r_x2 +int32 lane_r_y2 diff --git a/src/autoware_msgs/msg/ImageObj.msg b/src/autoware_msgs/msg/ImageObj.msg new file mode 100755 index 0000000..b6d137f --- /dev/null +++ b/src/autoware_msgs/msg/ImageObj.msg @@ -0,0 +1,4 @@ +Header header +string type +ImageRect[] obj +# XXX Should this message have 'score' ? diff --git a/src/autoware_msgs/msg/ImageObjRanged.msg b/src/autoware_msgs/msg/ImageObjRanged.msg new file mode 100755 index 0000000..e34938a --- /dev/null +++ b/src/autoware_msgs/msg/ImageObjRanged.msg @@ -0,0 +1,3 @@ +Header header +string type +ImageRectRanged[] obj diff --git a/src/autoware_msgs/msg/ImageObjTracked.msg b/src/autoware_msgs/msg/ImageObjTracked.msg new file mode 100755 index 0000000..6a3a845 --- /dev/null +++ b/src/autoware_msgs/msg/ImageObjTracked.msg @@ -0,0 +1,7 @@ +Header header +string type +uint8 total_num +int32[] obj_id +ImageRectRanged[] rect_ranged +int32[] real_data +int32[] lifespan \ No newline at end of file diff --git a/src/autoware_msgs/msg/ImageObjects.msg b/src/autoware_msgs/msg/ImageObjects.msg new file mode 100755 index 0000000..407651e --- /dev/null +++ b/src/autoware_msgs/msg/ImageObjects.msg @@ -0,0 +1,5 @@ +Header header +uint8 car_num +int32[] car_type +float32[] score +int32[] corner_point diff --git a/src/autoware_msgs/msg/ImageRect.msg b/src/autoware_msgs/msg/ImageRect.msg new file mode 100755 index 0000000..5459197 --- /dev/null +++ b/src/autoware_msgs/msg/ImageRect.msg @@ -0,0 +1,5 @@ +int32 x +int32 y +int32 height +int32 width +float32 score diff --git a/src/autoware_msgs/msg/ImageRectRanged.msg b/src/autoware_msgs/msg/ImageRectRanged.msg new file mode 100755 index 0000000..cbd6a15 --- /dev/null +++ b/src/autoware_msgs/msg/ImageRectRanged.msg @@ -0,0 +1,4 @@ +ImageRect rect +float32 range +float32 min_height +float32 max_height diff --git a/src/autoware_msgs/msg/IndicatorCmd.msg b/src/autoware_msgs/msg/IndicatorCmd.msg new file mode 100755 index 0000000..d75cdb6 --- /dev/null +++ b/src/autoware_msgs/msg/IndicatorCmd.msg @@ -0,0 +1,3 @@ +Header header +int32 l +int32 r diff --git a/src/autoware_msgs/msg/LampCmd.msg b/src/autoware_msgs/msg/LampCmd.msg new file mode 100755 index 0000000..d75cdb6 --- /dev/null +++ b/src/autoware_msgs/msg/LampCmd.msg @@ -0,0 +1,3 @@ +Header header +int32 l +int32 r diff --git a/src/autoware_msgs/msg/Lane.msg b/src/autoware_msgs/msg/Lane.msg new file mode 100755 index 0000000..67b75bd --- /dev/null +++ b/src/autoware_msgs/msg/Lane.msg @@ -0,0 +1,10 @@ +Header header +int32 increment +int32 lane_id +Waypoint[] waypoints + +uint32 lane_index +float32 cost +float32 closest_object_distance +float32 closest_object_velocity +bool is_blocked diff --git a/src/autoware_msgs/msg/LaneArray.msg b/src/autoware_msgs/msg/LaneArray.msg new file mode 100755 index 0000000..302bded --- /dev/null +++ b/src/autoware_msgs/msg/LaneArray.msg @@ -0,0 +1,2 @@ +int32 id +Lane[] lanes diff --git a/src/autoware_msgs/msg/NDTStat.msg b/src/autoware_msgs/msg/NDTStat.msg new file mode 100755 index 0000000..7935a7c --- /dev/null +++ b/src/autoware_msgs/msg/NDTStat.msg @@ -0,0 +1,7 @@ +Header header +float32 exe_time +int32 iteration +float32 score +float32 velocity +float32 acceleration +int32 use_predict_pose diff --git a/src/autoware_msgs/msg/ObjLabel.msg b/src/autoware_msgs/msg/ObjLabel.msg new file mode 100755 index 0000000..f68a0cd --- /dev/null +++ b/src/autoware_msgs/msg/ObjLabel.msg @@ -0,0 +1,4 @@ +Header header +string type +int32[] obj_id +geometry_msgs/Point[] reprojected_pos diff --git a/src/autoware_msgs/msg/ObjPose.msg b/src/autoware_msgs/msg/ObjPose.msg new file mode 100755 index 0000000..89ed2e1 --- /dev/null +++ b/src/autoware_msgs/msg/ObjPose.msg @@ -0,0 +1,4 @@ +Header header +string type +int32[] obj_id +geometry_msgs/PoseArray[] obj diff --git a/src/autoware_msgs/msg/PointsImage.msg b/src/autoware_msgs/msg/PointsImage.msg new file mode 100755 index 0000000..da45dc0 --- /dev/null +++ b/src/autoware_msgs/msg/PointsImage.msg @@ -0,0 +1,9 @@ +Header header +float32[] distance +float32[] intensity +float32[] min_height +float32[] max_height +int32 max_y +int32 min_y +int32 image_height +int32 image_width \ No newline at end of file diff --git a/src/autoware_msgs/msg/ProjectionMatrix.msg b/src/autoware_msgs/msg/ProjectionMatrix.msg new file mode 100755 index 0000000..ee2b109 --- /dev/null +++ b/src/autoware_msgs/msg/ProjectionMatrix.msg @@ -0,0 +1,2 @@ +Header header +float64[16] projection_matrix \ No newline at end of file diff --git a/src/autoware_msgs/msg/RemoteCmd.msg b/src/autoware_msgs/msg/RemoteCmd.msg new file mode 100755 index 0000000..189ec89 --- /dev/null +++ b/src/autoware_msgs/msg/RemoteCmd.msg @@ -0,0 +1,3 @@ +Header header +autoware_msgs/VehicleCmd vehicle_cmd +int32 control_mode diff --git a/src/autoware_msgs/msg/ScanImage.msg b/src/autoware_msgs/msg/ScanImage.msg new file mode 100755 index 0000000..ea1fb06 --- /dev/null +++ b/src/autoware_msgs/msg/ScanImage.msg @@ -0,0 +1,5 @@ +Header header +float32[] distance +float32[] intensity +int32 max_y +int32 min_y \ No newline at end of file diff --git a/src/autoware_msgs/msg/Signals.msg b/src/autoware_msgs/msg/Signals.msg new file mode 100755 index 0000000..a3d1c2c --- /dev/null +++ b/src/autoware_msgs/msg/Signals.msg @@ -0,0 +1,2 @@ +Header header +ExtractedPosition[] Signals diff --git a/src/autoware_msgs/msg/State.msg b/src/autoware_msgs/msg/State.msg new file mode 100755 index 0000000..a2987cb --- /dev/null +++ b/src/autoware_msgs/msg/State.msg @@ -0,0 +1,5 @@ +Header header +string vehicle_state +string mission_state +string behavior_state +string motion_state diff --git a/src/autoware_msgs/msg/StateCmd.msg b/src/autoware_msgs/msg/StateCmd.msg new file mode 100755 index 0000000..5e01464 --- /dev/null +++ b/src/autoware_msgs/msg/StateCmd.msg @@ -0,0 +1,2 @@ +Header header +int32 cmd diff --git a/src/autoware_msgs/msg/SteerCmd.msg b/src/autoware_msgs/msg/SteerCmd.msg new file mode 100755 index 0000000..ed558ff --- /dev/null +++ b/src/autoware_msgs/msg/SteerCmd.msg @@ -0,0 +1,2 @@ +Header header +int32 steer diff --git a/src/autoware_msgs/msg/SyncTimeDiff.msg b/src/autoware_msgs/msg/SyncTimeDiff.msg new file mode 100755 index 0000000..f271c96 --- /dev/null +++ b/src/autoware_msgs/msg/SyncTimeDiff.msg @@ -0,0 +1,4 @@ +Header header +float64 time_diff +time camera +time lidar \ No newline at end of file diff --git a/src/autoware_msgs/msg/SyncTimeMonitor.msg b/src/autoware_msgs/msg/SyncTimeMonitor.msg new file mode 100755 index 0000000..8dc1936 --- /dev/null +++ b/src/autoware_msgs/msg/SyncTimeMonitor.msg @@ -0,0 +1,27 @@ +Header header +float64 image_raw +float64 points_raw +float64 points_image +float64 vscan_points +float64 vscan_image +float64 image_obj +float64 image_obj_ranged +float64 image_obj_tracked +float64 current_pose +float64 obj_label +float64 cluster_centroids +float64 obj_pose +float64 execution_time +float64 cycle_time +float64 time_diff + + +# time image_raw +# time points_raw +# time image_obj +# time image_obj_ranged +# time image_obj_tracked +# time current_pose +# time obj_label +# time cluster_centroids +# time obj_pose \ No newline at end of file diff --git a/src/autoware_msgs/msg/TrafficLight.msg b/src/autoware_msgs/msg/TrafficLight.msg new file mode 100755 index 0000000..8187451 --- /dev/null +++ b/src/autoware_msgs/msg/TrafficLight.msg @@ -0,0 +1,2 @@ +Header header +int32 traffic_light diff --git a/src/autoware_msgs/msg/TrafficLightResult.msg b/src/autoware_msgs/msg/TrafficLightResult.msg new file mode 100755 index 0000000..b997939 --- /dev/null +++ b/src/autoware_msgs/msg/TrafficLightResult.msg @@ -0,0 +1,22 @@ +# This message defines meta information for a traffic light status +Header header + +# Each bulb is assigned with an Id +# The TLR node convention is to use the yellow bulb's ID +int32 light_id + +# The result as provided by the tlr nodes +# Red and Yellow states are both treated as STOP +# RED = 0 +# YELLOW = 0 +# GREEN = 1 +# UNKNOWN = 2 +int32 recognition_result + +# This string is used by the Audio Player +string recognition_result_str + +# LaneId to which this traffic light result belongs to +# this Id is defined by the ADAS MAP +int32 lane_id + diff --git a/src/autoware_msgs/msg/TrafficLightResultArray.msg b/src/autoware_msgs/msg/TrafficLightResultArray.msg new file mode 100755 index 0000000..4c67574 --- /dev/null +++ b/src/autoware_msgs/msg/TrafficLightResultArray.msg @@ -0,0 +1,2 @@ +Header header +TrafficLightResult[] results diff --git a/src/autoware_msgs/msg/TunedResult.msg b/src/autoware_msgs/msg/TunedResult.msg new file mode 100755 index 0000000..86e577f --- /dev/null +++ b/src/autoware_msgs/msg/TunedResult.msg @@ -0,0 +1,4 @@ +Header header +ColorSet Red +ColorSet Yellow +ColorSet Green diff --git a/src/autoware_msgs/msg/ValueSet.msg b/src/autoware_msgs/msg/ValueSet.msg new file mode 100755 index 0000000..d77fb3e --- /dev/null +++ b/src/autoware_msgs/msg/ValueSet.msg @@ -0,0 +1,2 @@ +int32 center +int32 range diff --git a/src/autoware_msgs/msg/VehicleCmd.msg b/src/autoware_msgs/msg/VehicleCmd.msg new file mode 100755 index 0000000..37ba1f6 --- /dev/null +++ b/src/autoware_msgs/msg/VehicleCmd.msg @@ -0,0 +1,10 @@ +Header header +autoware_msgs/SteerCmd steer_cmd +autoware_msgs/AccelCmd accel_cmd +autoware_msgs/BrakeCmd brake_cmd +autoware_msgs/LampCmd lamp_cmd +autoware_msgs/Gear gear_cmd +int32 mode +geometry_msgs/TwistStamped twist_cmd +autoware_msgs/ControlCommand ctrl_cmd +int32 emergency diff --git a/src/autoware_msgs/msg/VehicleLocation.msg b/src/autoware_msgs/msg/VehicleLocation.msg new file mode 100755 index 0000000..c7a5135 --- /dev/null +++ b/src/autoware_msgs/msg/VehicleLocation.msg @@ -0,0 +1,3 @@ +Header header +int32 lane_array_id +int32 waypoint_index diff --git a/src/autoware_msgs/msg/VehicleStatus.msg b/src/autoware_msgs/msg/VehicleStatus.msg new file mode 100755 index 0000000..88f1136 --- /dev/null +++ b/src/autoware_msgs/msg/VehicleStatus.msg @@ -0,0 +1,24 @@ +Header header +string tm + +# Powertrain +int32 drivemode +int32 steeringmode +int32 MODE_MANUAL=0 +int32 MODE_AUTO=1 + +autoware_msgs/Gear current_gear + +float64 speed # vehicle velocity [km/s] +int32 drivepedal +int32 brakepedal + +float64 angle # vehicle steering (tire) angle [rad] + +# Body +int32 lamp +int32 LAMP_LEFT=1 +int32 LAMP_RIGHT=2 +int32 LAMP_HAZARD=3 + +int32 light diff --git a/src/autoware_msgs/msg/VscanTracked.msg b/src/autoware_msgs/msg/VscanTracked.msg new file mode 100755 index 0000000..024fcf8 --- /dev/null +++ b/src/autoware_msgs/msg/VscanTracked.msg @@ -0,0 +1,4 @@ +geometry_msgs/Point position +float32 orientation +float32 velocity +GeometricRectangle geo_rect \ No newline at end of file diff --git a/src/autoware_msgs/msg/VscanTrackedArray.msg b/src/autoware_msgs/msg/VscanTrackedArray.msg new file mode 100755 index 0000000..f260a12 --- /dev/null +++ b/src/autoware_msgs/msg/VscanTrackedArray.msg @@ -0,0 +1,2 @@ +std_msgs/Header header +VscanTracked[] obj_tracked \ No newline at end of file diff --git a/src/autoware_msgs/msg/Waypoint.msg b/src/autoware_msgs/msg/Waypoint.msg new file mode 100755 index 0000000..b25c64b --- /dev/null +++ b/src/autoware_msgs/msg/Waypoint.msg @@ -0,0 +1,26 @@ +# global id +int32 gid +# local id +int32 lid +geometry_msgs/PoseStamped pose +geometry_msgs/TwistStamped twist +DTLane dtlane +int32 change_flag +WaypointState wpstate + +uint32 lane_id +uint32 left_lane_id +uint32 right_lane_id +uint32 stop_line_id +float32 cost +float32 time_cost + +# Lane Direction +# FORWARD = 0 +# FORWARD_LEFT = 1 +# FORWARD_RIGHT = 2 +# BACKWARD = 3 +# BACKWARD_LEFT = 4 +# BACKWARD_RIGHT = 5 +# STANDSTILL = 6 +uint32 direction \ No newline at end of file diff --git a/src/autoware_msgs/msg/WaypointState.msg b/src/autoware_msgs/msg/WaypointState.msg new file mode 100755 index 0000000..4486b77 --- /dev/null +++ b/src/autoware_msgs/msg/WaypointState.msg @@ -0,0 +1,27 @@ +int32 aid +uint8 NULLSTATE=0 + +# lanechange +uint8 lanechange_state + +# bilinker +uint8 steering_state +uint8 STR_LEFT=1 +uint8 STR_RIGHT=2 +uint8 STR_STRAIGHT=3 +uint8 STR_BACK=4 + +uint8 accel_state + +uint8 stop_state +# 1 is stopline, 2 is stop which can only be released manually. +uint8 TYPE_STOPLINE=1 +uint8 TYPE_STOP=2 + +uint8 event_state +uint8 TYPE_EVENT_NULL = 0 +uint8 TYPE_EVENT_GOAL = 1 +uint8 TYPE_EVENT_MIDDLE_GOAL = 2 +uint8 TYPE_EVENT_POSITION_STOP = 3 +uint8 TYPE_EVENT_BUS_STOP = 4 +uint8 TYPE_EVENT_PARKING = 5 diff --git a/src/autoware_msgs/package.xml b/src/autoware_msgs/package.xml new file mode 100755 index 0000000..92825b4 --- /dev/null +++ b/src/autoware_msgs/package.xml @@ -0,0 +1,19 @@ + + + autoware_msgs + 1.13.0 + The autoware_msgs package + Yusuke Fujii + Apache 2 + + catkin + + message_generation + + geometry_msgs + jsk_recognition_msgs + sensor_msgs + std_msgs + + message_runtime + diff --git a/src/autoware_msgs/srv/RecognizeLightState.srv b/src/autoware_msgs/srv/RecognizeLightState.srv new file mode 100755 index 0000000..0ac28d4 --- /dev/null +++ b/src/autoware_msgs/srv/RecognizeLightState.srv @@ -0,0 +1,4 @@ +sensor_msgs/Image roi_image +--- +uint8 class_id +float32 confidence diff --git a/CMakeLists.txt b/src/livox_detect/CMakeLists.txt similarity index 69% rename from CMakeLists.txt rename to src/livox_detect/CMakeLists.txt index d9e652c..5dfb3ea 100644 --- a/CMakeLists.txt +++ b/src/livox_detect/CMakeLists.txt @@ -1,8 +1,48 @@ cmake_minimum_required(VERSION 3.0) -project(livox_detection) +project(livox_detect) + +add_compile_options(-std=c++17) + +set(CMAKE_CXX_STANDARD 14) +set(CMAKE_CXX_STANDARD_REQUIRED ON) +set(CMAKE_CXX_EXTENSIONS OFF) + +find_package(catkin REQUIRED COMPONENTS + roscpp + rospy + std_msgs + roslaunch + autoware_msgs + # cv_bridge //开启这个会造成opencv的冲突 + pcl_conversions + pcl_ros + geometry_msgs + laser_geometry + sensor_msgs + message_generation + visualization_msgs + # common_lib + # object_builders_lib + # grid_map_ros + # grid_map_cv //注释掉避免在xavier编译时与pcl1.8的kdtree_flannch + # grid_map_msgs + jsk_rviz_plugins + jsk_recognition_msgs +) + +generate_messages( + DEPENDENCIES + std_msgs + geometry_msgs + sensor_msgs +) + +catkin_package( + # INCLUDE_DIRS + # LIBRARIES + # CATKIN_DEPENDS roscpp rospy std_msgs +) -add_compile_options(-std=c++11) -set(CMAKE_BUILD_TYPE "Debug") # set flags for CUDA availability set(USE_CUDA ON) option(CUDA_AVAIL "CUDA available" OFF) @@ -17,8 +57,7 @@ find_package(PCL REQUIRED) include_directories(/usr/local/cuda-10.2/include) link_directories(/usr/local/cuda-10.2/lib64) # # tensorrt -include_directories(/home/jjho/software/TensorRT-7.1.3.4/include/) -link_directories(/home/jjho/software/TensorRT-7.1.3.4/lib/) + if (USE_CUDA) message("CUDA is available!") @@ -33,9 +72,9 @@ endif () # set flags for TensorRT availability option(TRT_AVAIL "TensorRT available" OFF) # try to find the tensorRT modules -find_library(NVINFER libnvinfer.so /home/jjho/software/TensorRT-7.1.3.4/lib) -find_library(NVPARSERS libnvparsers.so /home/jjho/software/TensorRT-7.1.3.4/lib) -find_library(NVONNXPARSERS libnvonnxparser.so /home/jjho/software/TensorRT-7.1.3.4/lib) +find_library(NVINFER libnvinfer.so ) +find_library(NVPARSERS libnvparsers.so ) +find_library(NVONNXPARSERS libnvonnxparser.so) # try to find the tensorRT modules # find_library(NVINFER libnvinfer.so) # find_library(NVPARSERS libnvparsers.so) @@ -80,7 +119,7 @@ if(TRT_AVAIL AND CUDA_AVAIL AND CUDNN_AVAIL) include_directories( include - src/onnx-tensorrt + ${catkin_INCLUDE_DIRS} /usr/local/cuda-10.2/include ${Eigen3_INCLUDE_DIRS} ${PCL_INCLUDE_DIRS} @@ -89,9 +128,10 @@ if(TRT_AVAIL AND CUDA_AVAIL AND CUDNN_AVAIL) set(SOURCE_FILES src/main.cpp src/livox_detection.cpp + src/clip.cpp ) - add_executable(livox_detection + add_executable(livox_detect ${SOURCE_FILES} ) @@ -104,9 +144,10 @@ if(TRT_AVAIL AND CUDA_AVAIL AND CUDNN_AVAIL) ${CUDA_LIBRARIES} ) - target_link_libraries(livox_detection + target_link_libraries(livox_detect ${NVINFER} ${NVONNXPARSERS} + ${catkin_LIBRARIES} ${CUDA_LIBRARIES} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_curand_LIBRARY} diff --git a/src/livox_detect/README.md b/src/livox_detect/README.md new file mode 100644 index 0000000..eaf0f64 --- /dev/null +++ b/src/livox_detect/README.md @@ -0,0 +1 @@ +# livox_detect \ No newline at end of file diff --git a/data/1589169520_1.pcd b/src/livox_detect/data/1589169520_1.pcd similarity index 100% rename from data/1589169520_1.pcd rename to src/livox_detect/data/1589169520_1.pcd diff --git a/data/1589169525_9.pcd b/src/livox_detect/data/1589169525_9.pcd similarity index 100% rename from data/1589169525_9.pcd rename to src/livox_detect/data/1589169525_9.pcd diff --git a/data/livox.pcd b/src/livox_detect/data/livox.pcd similarity index 100% rename from data/livox.pcd rename to src/livox_detect/data/livox.pcd diff --git a/src/livox_detect/include/clip.h b/src/livox_detect/include/clip.h new file mode 100644 index 0000000..8b8b680 --- /dev/null +++ b/src/livox_detect/include/clip.h @@ -0,0 +1,46 @@ +/* + * @Description: 删除多余的点,划分合适的区域 + * @Version: 2.0 + * @Author: CXY + * @Date: 2021-10-10 18:51:35 + * @LastEditors: CXY + * @LastEditTime: 2021-10-23 12:19:57 + */ +#ifndef CLIP_H +#define CLIP_H + +#include "my_detection/point_types.h" +#include +#include + +class Clip +{ +private: + //设置三个方向上最大最小检测范围 + float min_x = -30.0; + float max_x = 50.0; + float min_y = -15.0; + float max_y = 15.0; + float min_z = -2.2; + float max_z = 0.1; + + //设置车辆自身坐标,便于删除自身的点云 + float min_base_x = -2.0; + float max_base_x = 2.0; + float min_base_y = -1.0; + float max_base_y = 1.0; + float min_base_z = -2.2; + float max_base_z = 0.05; + + float leaf_size = 0.1; + +public: + Clip(ros::NodeHandle &nh, ros::NodeHandle &private_nh); + + void Process(const pcl::PointCloud &in_cloud, pcl::PointCloud &out_cloud); + //判断该点是否在范围内 + bool IsIn(const float &a, const float &min, const float &max); + ~Clip(); +}; + +#endif diff --git a/include/common.h b/src/livox_detect/include/common.h similarity index 100% rename from include/common.h rename to src/livox_detect/include/common.h diff --git a/include/config.h b/src/livox_detect/include/config.h similarity index 100% rename from include/config.h rename to src/livox_detect/include/config.h diff --git a/include/iou3d_nms.h b/src/livox_detect/include/iou3d_nms.h similarity index 100% rename from include/iou3d_nms.h rename to src/livox_detect/include/iou3d_nms.h diff --git a/include/livox_detection.hpp b/src/livox_detect/include/livox_detection.hpp similarity index 63% rename from include/livox_detection.hpp rename to src/livox_detect/include/livox_detection.hpp index 2d504e1..e517297 100644 --- a/include/livox_detection.hpp +++ b/src/livox_detect/include/livox_detection.hpp @@ -1,13 +1,19 @@ #ifndef LIVOX_DETECTION #define LIVOX_DETECTION +#include "postprocess_cuda.h" + #include // 推理用的运行时头文件 #include #include -#include "postprocess_cuda.h" +// headers in ROS +#include +#include +#include "geometry_msgs/PoseStamped.h" +#include bool build_model(); @@ -70,11 +76,11 @@ class livox_detection ~livox_detection(); - void preprocess(const pcl::PointCloud::Ptr &in_pcl_pc_ptr, pcl::PointCloud::Ptr &out_pcl_pc_ptr, float *out_points_array); - - void doprocess(const pcl::PointCloud::Ptr &in_pcl_pc_ptr); - - void postprocess(const float *rpn_all_output, std::vector &predResult); + /** + * @brief Create ROS pub/sub obejct + * @details Create/Initializing ros pub/sub object + */ + void createROSPubSub(); int BEV_W = 1120; int BEV_H = 448; @@ -87,14 +93,64 @@ class livox_detection void mask_points_out_of_range(pcl::PointCloud::Ptr &in_pcl_pc_ptr); - pcl::PointCloud input_cloud_; + void preprocess(const pcl::PointCloud::Ptr &in_pcl_pc_ptr, pcl::PointCloud::Ptr &out_pcl_pc_ptr, float *out_points_array); + + void doprocess(const pcl::PointCloud::Ptr &in_pcl_pc_ptr, std::vector &pre_box); + + void postprocess(const float *rpn_all_output, std::vector &predResult); + + void pubDetectedObject_Marker(const std::vector &detections, const std_msgs::Header &in_header); + + void initTRT(); + + /** + * @brief callback for pointcloud + * @param[in] input pointcloud from lidar sensor + * @details Call point_pillars to get 3D bounding box + */ + void pointsCallback(const sensor_msgs::PointCloud2::ConstPtr &msg); + + /** + * @brief Transform pose based on tf stamp info + * @param[in] in_pose Target pose to be transformed + * @param[in] tf TF stamp contains rotation matrix and translation matrix + * @return geometry_msgs::Pose Transformed pose + * @details Calculate transformed pose + */ + geometry_msgs::Pose getTransformedPose(const geometry_msgs::Pose &in_pose, const tf::Transform &tf); + + // initializer list + ros::NodeHandle private_nh_; + + ros::NodeHandle nh_; + ros::Subscriber sub_points_; + ros::Publisher pub_objects_; + ros::Publisher pub_objects_marker_; + + std::vector engine_data; + nvinfer1::IExecutionContext *execution_context; + nvinfer1::IRuntime *runtime; + nvinfer1::ICudaEngine *engine; + + tf::Transform angle_transform_inversed_; + + float *input_data_host; + float *input_data_device; + float *output_data_host; + float *output_data_device; - const int OUTPUT_SIZE = 1 * 9 * 500; float *dev_filtered_box_; float *dev_filtered_score_; int *dev_filtered_label_; int dev_filter_count_; long *dev_keep_data_; + + std::string ONNX_Path; + std::string engine_Path; + float theta = -M_PI/38; + int input_batch = 1; + int input_numel = input_batch * BEV_C * BEV_H * BEV_W; + const int OUTPUT_SIZE = 1 * 9 * 500; float point_cloud_range[6] = {0, -44.8, -2, 224, 44.8, 4}; float voxel_size[3] = {0.2, 0.2, 0.2}; }; diff --git a/src/livox_detect/include/my_detection/point_types.h b/src/livox_detect/include/my_detection/point_types.h new file mode 100644 index 0000000..4c0b72a --- /dev/null +++ b/src/livox_detect/include/my_detection/point_types.h @@ -0,0 +1,18 @@ +/* + * @Description: types + * @Version: 2.0 + * @Author: CXY + * @Date: 2021-10-10 18:33:55 + * @LastEditors: CXY + * @LastEditTime: 2021-10-16 20:21:10 + */ +#ifndef POINT_TYPES_H +#define POINT_TYPES_H + +#include +#include +//定义点云的格式 +typedef pcl::PointXYZI Pt; +typedef pcl::PointCloud PtC; + +#endif \ No newline at end of file diff --git a/include/postprocess_cuda.h b/src/livox_detect/include/postprocess_cuda.h similarity index 100% rename from include/postprocess_cuda.h rename to src/livox_detect/include/postprocess_cuda.h diff --git a/src/livox_detect/launch/livox_detection.launch b/src/livox_detect/launch/livox_detection.launch new file mode 100755 index 0000000..6b3972e --- /dev/null +++ b/src/livox_detect/launch/livox_detection.launch @@ -0,0 +1,15 @@ + + + + + + + + + + + + + + diff --git a/src/livox_detect/models/livox_detection_sim.engine b/src/livox_detect/models/livox_detection_sim.engine new file mode 100644 index 0000000..2d44058 Binary files /dev/null and b/src/livox_detect/models/livox_detection_sim.engine differ diff --git a/models/livox_detection_sim.onnx b/src/livox_detect/models/livox_detection_sim.onnx similarity index 100% rename from models/livox_detection_sim.onnx rename to src/livox_detect/models/livox_detection_sim.onnx diff --git a/models/livox_head_sim.onnx b/src/livox_detect/models/livox_head_sim.onnx similarity index 100% rename from models/livox_head_sim.onnx rename to src/livox_detect/models/livox_head_sim.onnx diff --git a/src/livox_detect/package.xml b/src/livox_detect/package.xml new file mode 100644 index 0000000..016fb9a --- /dev/null +++ b/src/livox_detect/package.xml @@ -0,0 +1,65 @@ + + + livox_detect + 0.0.0 + The livox_detect package + + + + + jjho + + + + + + TODO + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + catkin + roscpp + std_msgs + roscpp + std_msgs + roscpp + std_msgs + + + + + + + + diff --git a/src/livox_detect/rviz/kitti.rviz b/src/livox_detect/rviz/kitti.rviz new file mode 100755 index 0000000..75d4ebf --- /dev/null +++ b/src/livox_detect/rviz/kitti.rviz @@ -0,0 +1,712 @@ +Panels: + - Class: rviz/Displays + Help Height: 0 + Name: Displays + Property Tree Widget: + Expanded: + - /Global Options1 + - /Sensing1/Points Raw1 + - /Perception1 + - /Perception1/Clustered Points1 + - /Perception1/Tracked Objects1 + - /Perception1/Tracked Objects1/Namespaces1 + - /Perception1/Predicted Path1 + Splitter Ratio: 0.5991984009742737 + Tree Height: 769 + - Class: rviz/Selection + Name: Selection + - Class: rviz/Tool Properties + Expanded: + - /2D Pose Estimate1 + - /2D Nav Goal1 + - /Publish Point1 + Name: Tool Properties + Splitter Ratio: 0.5886790156364441 + - Class: rviz/Views + Expanded: + - /Current View1 + Name: Views + Splitter Ratio: 0.5 + - Class: rviz/Time + Experimental: false + Name: Time + SyncMode: 0 + SyncSource: Clustered Points + - Class: autoware_rviz_debug/DecisionMakerPanel + Name: DecisionMakerPanel +Preferences: + PromptSaveOnExit: true +Toolbars: + toolButtonStyle: 2 +Visualization Manager: + Class: "" + Displays: + - Alpha: 0.5 + Cell Size: 10 + Class: rviz/Grid + Color: 85; 87; 83 + Enabled: true + Line Style: + Line Width: 0.029999999329447746 + Value: Lines + Name: Grid + Normal Cell Count: 0 + Offset: + X: 0 + Y: 0 + Z: 0 + Plane: XY + Plane Cell Count: 20 + Reference Frame: + Value: true + - Class: rviz/Group + Displays: + - Class: rviz/TF + Enabled: true + Frame Timeout: 15 + Frames: + All Enabled: true + Marker Scale: 5 + Name: TF + Show Arrows: true + Show Axes: true + Show Names: true + Tree: + {} + Update Interval: 0 + Value: true + - Alpha: 1 + Class: rviz/RobotModel + Collision Enabled: false + Enabled: true + Links: + All Links Enabled: true + Expand Joint Details: false + Expand Link Details: false + Expand Tree: false + Link Tree Style: Links in Alphabetic Order + Name: Vehicle Model + Robot Description: robot_description + TF Prefix: "" + Update Interval: 0 + Value: true + Visual Enabled: true + - Class: rviz/Group + Displays: + - Buffer length: 100 + Class: jsk_rviz_plugin/Plotter2D + Enabled: true + Name: Velocity (km/h) + Show Value: true + Topic: /linear_velocity_viz + Value: true + auto color change: false + auto scale: true + background color: 0; 0; 0 + backround alpha: 0 + border: true + foreground alpha: 1 + foreground color: 0; 255; 255 + height: 80 + left: 40 + linewidth: 1 + max color: 255; 0; 0 + max value: 1 + min value: -1 + show caption: true + text size: 8 + top: 30 + update interval: 0.03999999910593033 + width: 80 + - Buffer length: 100 + Class: jsk_rviz_plugin/Plotter2D + Enabled: true + Name: NDT Time [ms] + Show Value: true + Topic: /time_ndt_matching + Value: true + auto color change: false + auto scale: true + background color: 0; 0; 0 + backround alpha: 0 + border: true + foreground alpha: 1 + foreground color: 0; 255; 255 + height: 80 + left: 140 + linewidth: 1 + max color: 255; 0; 0 + max value: 1 + min value: -1 + show caption: true + text size: 8 + top: 30 + update interval: 0.03999999910593033 + width: 80 + - Align Bottom: false + Background Alpha: 0.8999999761581421 + Background Color: 0; 0; 0 + Class: jsk_rviz_plugin/OverlayText + Enabled: true + Foreground Alpha: 0.800000011920929 + Foreground Color: 0; 255; 255 + Invert Shadow: false + Name: NDT Monitor + Overtake BG Color Properties: false + Overtake FG Color Properties: false + Overtake Position Properties: true + Topic: /ndt_monitor/ndt_info_text + Value: true + font: DejaVu Sans Mono + height: 50 + left: 40 + line width: 2 + text size: 8 + top: 150 + width: 200 + - Align Bottom: false + Background Alpha: 0.8999999761581421 + Background Color: 0; 0; 0 + Class: jsk_rviz_plugin/OverlayText + Enabled: true + Foreground Alpha: 0.800000011920929 + Foreground Color: 0; 255; 255 + Invert Shadow: false + Name: Decision Maker Panel + Overtake BG Color Properties: false + Overtake FG Color Properties: false + Overtake Position Properties: true + Topic: /decision_maker/state_overlay + Value: true + font: DejaVu Sans Mono + height: 200 + left: 40 + line width: 2 + text size: 8 + top: 220 + width: 200 + Enabled: true + Name: Monitor + - Class: rviz/Group + Displays: + - Align Bottom: false + Background Alpha: 0.800000011920929 + Background Color: 0; 0; 0 + Class: jsk_rviz_plugin/OverlayText + Enabled: true + Foreground Alpha: 0.800000011920929 + Foreground Color: 25; 255; 240 + Invert Shadow: false + Name: OK + Overtake BG Color Properties: false + Overtake FG Color Properties: false + Overtake Position Properties: true + Topic: /health_aggregator/ok_text + Value: true + font: DejaVu Sans Mono + height: 80 + left: 40 + line width: 2 + text size: 6 + top: 430 + width: 200 + - Align Bottom: false + Background Alpha: 0.800000011920929 + Background Color: 0; 0; 0 + Class: jsk_rviz_plugin/OverlayText + Enabled: true + Foreground Alpha: 0.800000011920929 + Foreground Color: 255; 255; 0 + Invert Shadow: false + Name: WARN + Overtake BG Color Properties: false + Overtake FG Color Properties: false + Overtake Position Properties: true + Topic: /health_aggregator/warn_text + Value: true + font: DejaVu Sans Mono + height: 80 + left: 40 + line width: 2 + text size: 6 + top: 520 + width: 200 + - Align Bottom: false + Background Alpha: 0.800000011920929 + Background Color: 0; 0; 0 + Class: jsk_rviz_plugin/OverlayText + Enabled: true + Foreground Alpha: 0.800000011920929 + Foreground Color: 255; 85; 0 + Invert Shadow: false + Name: ERROR + Overtake BG Color Properties: false + Overtake FG Color Properties: false + Overtake Position Properties: true + Topic: /health_aggregator/error_text + Value: true + font: DejaVu Sans Mono + height: 80 + left: 40 + line width: 2 + text size: 6 + top: 620 + width: 200 + - Align Bottom: false + Background Alpha: 0.800000011920929 + Background Color: 0; 0; 0 + Class: jsk_rviz_plugin/OverlayText + Enabled: true + Foreground Alpha: 0.800000011920929 + Foreground Color: 255; 0; 0 + Invert Shadow: false + Name: FATAL + Overtake BG Color Properties: false + Overtake FG Color Properties: false + Overtake Position Properties: true + Topic: /health_aggregator/fatal_text + Value: true + font: DejaVu Sans Mono + height: 80 + left: 40 + line width: 2 + text size: 6 + top: 720 + width: 200 + Enabled: true + Name: Health Checker + Enabled: true + Name: System + - Class: rviz/Group + Displays: + - Alpha: 0.05000000074505806 + Autocompute Intensity Bounds: true + Autocompute Value Bounds: + Max Value: 10 + Min Value: -10 + Value: true + Axis: Z + Channel Name: intensity + Class: rviz/PointCloud2 + Color: 255; 255; 255 + Color Transformer: FlatColor + Decay Time: 0 + Enabled: true + Invert Rainbow: false + Max Color: 255; 255; 255 + Min Color: 0; 0; 0 + Name: Points Map + Position Transformer: XYZ + Queue Size: 10 + Selectable: true + Size (Pixels): 2 + Size (m): 0.009999999776482582 + Style: Points + Topic: /points_map + Unreliable: false + Use Fixed Frame: true + Use rainbow: true + Value: true + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /vector_map + Name: ADAS Map + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /lanelet2_map_viz + Name: Lanelet2 Map + Namespaces: + {} + Queue Size: 100 + Value: true + Enabled: true + Name: Map + - Class: rviz/Group + Displays: + - Alpha: 0.30000001192092896 + Autocompute Intensity Bounds: true + Autocompute Value Bounds: + Max Value: 2.9070000648498535 + Min Value: -8.116000175476074 + Value: true + Axis: Z + Channel Name: intensity + Class: rviz/PointCloud2 + Color: 255; 255; 255 + Color Transformer: Intensity + Decay Time: 0 + Enabled: true + Invert Rainbow: false + Max Color: 255; 255; 255 + Min Color: 0; 0; 0 + Name: Points Raw + Position Transformer: XYZ + Queue Size: 10 + Selectable: true + Size (Pixels): 2 + Size (m): 0.009999999776482582 + Style: Points + Topic: /livox_full_cloud + Unreliable: false + Use Fixed Frame: true + Use rainbow: true + Value: true + - Alpha: 0.5 + Autocompute Intensity Bounds: true + Autocompute Value Bounds: + Max Value: 23.83440399169922 + Min Value: -22.532455444335938 + Value: true + Axis: Z + Channel Name: intensity + Class: rviz/PointCloud2 + Color: 255; 0; 0 + Color Transformer: FlatColor + Decay Time: 0 + Enabled: true + Invert Rainbow: false + Max Color: 255; 255; 255 + Min Color: 0; 0; 0 + Name: Points No Ground + Position Transformer: XYZ + Queue Size: 10 + Selectable: true + Size (Pixels): 2 + Size (m): 0.009999999776482582 + Style: Points + Topic: /points_no_ground + Unreliable: false + Use Fixed Frame: true + Use rainbow: true + Value: true + Enabled: true + Name: Sensing + - Class: rviz/Group + Displays: + - Alpha: 1 + Axes Length: 1 + Axes Radius: 0.10000000149011612 + Class: rviz/Pose + Color: 255; 170; 255 + Enabled: false + Head Length: 2 + Head Radius: 2 + Name: Current Pose + Shaft Length: 2 + Shaft Radius: 1 + Shape: Arrow + Topic: /current_pose + Unreliable: false + Value: false + - Alpha: 1 + Axes Length: 1 + Axes Radius: 0.10000000149011612 + Class: rviz/Pose + Color: 255; 255; 0 + Enabled: false + Head Length: 2 + Head Radius: 1 + Name: EKF Pose + Shaft Length: 2 + Shaft Radius: 0.5 + Shape: Arrow + Topic: /ekf_pose + Unreliable: false + Value: false + - Alpha: 1 + Axes Length: 1 + Axes Radius: 0.10000000149011612 + Class: rviz/Pose + Color: 0; 255; 255 + Enabled: false + Head Length: 2 + Head Radius: 1 + Name: NDT Pose + Shaft Length: 2 + Shaft Radius: 0.5 + Shape: Arrow + Topic: /ndt_pose + Unreliable: false + Value: false + Enabled: true + Name: Localization + - Class: rviz/Group + Displays: + - Alpha: 0.699999988079071 + Class: rviz/Map + Color Scheme: map + Draw Behind: true + Enabled: true + Name: Occupancy Grid Map + Topic: /semantics/costmap_generator/occupancy_grid + Unreliable: false + Use Timestamp: false + Value: true + - Alpha: 1 + Autocompute Intensity Bounds: true + Autocompute Value Bounds: + Max Value: 23.83440399169922 + Min Value: -22.532455444335938 + Value: true + Axis: Z + Channel Name: intensity + Class: rviz/PointCloud2 + Color: 255; 255; 255 + Color Transformer: Intensity + Decay Time: 0 + Enabled: true + Invert Rainbow: false + Max Color: 255; 255; 255 + Min Color: 0; 0; 0 + Name: Clustered Points + Position Transformer: XYZ + Queue Size: 10 + Selectable: true + Size (Pixels): 3 + Size (m): 0.009999999776482582 + Style: Points + Topic: /livox_full_cloud + Unreliable: false + Use Fixed Frame: true + Use rainbow: true + Value: true + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /detection/pointpillars_objects + Name: Tracked Objects + Namespaces: + objects: true + Queue Size: 100 + Value: true + - Class: rviz/MarkerArray + Enabled: false + Marker Topic: /detected_polygons + Name: Predicted Path + Namespaces: + {} + Queue Size: 100 + Value: false + Enabled: true + Name: Perception + - Class: rviz/Group + Displays: + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /waypoint_saver_marker + Name: Saved Waypoints + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /global_waypoints_mark + Name: Global Waypoints + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /local_waypoints_mark + Name: Local Waypoints + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /detection_range + Name: Detection Range + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/Group + Displays: + - Class: rviz/Marker + Enabled: true + Marker Topic: /safety_border + Name: Safety Box + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: jsk_rviz_plugin/BoundingBoxArray + Enabled: true + Name: Simulated Obstacle + Topic: /dp_planner_tracked_boxes + Unreliable: false + Value: true + alpha: 0.800000011920929 + color: 25; 255; 0 + coloring: Value + line width: 0.009999999776482582 + only edge: false + show coords: false + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /AnimateGlobalPlan + Name: GlobalPathAnimation + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/Marker + Enabled: true + Marker Topic: /behavior_state + Name: Behavior State + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /detected_polygons + Name: Tracked Contours + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /local_trajectories + Name: Local Rollouts + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/MarkerArray + Enabled: true + Marker Topic: /global_waypoints_rviz + Name: Global Path + Namespaces: + {} + Queue Size: 100 + Value: true + Enabled: true + Name: OP Planner + Enabled: true + Name: Planning + - Class: rviz/Group + Displays: + - Class: rviz/Marker + Enabled: true + Marker Topic: /trajectory_circle_mark + Name: Pure Pursuit Trajectory + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/Marker + Enabled: true + Marker Topic: /next_target_mark + Name: Pure Pursuit Target + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/Marker + Enabled: true + Marker Topic: /mpc_follower/debug/predicted_traj + Name: MPC Predicted Trajectory + Namespaces: + {} + Queue Size: 100 + Value: true + - Class: rviz/Marker + Enabled: true + Marker Topic: /mpc_follower/debug/filtered_traj + Name: MPC Reference Trajectory + Namespaces: + {} + Queue Size: 100 + Value: true + Enabled: true + Name: Control + - Class: rviz/Image + Enabled: false + Image Topic: /image_rects + Max Value: 1 + Median window: 5 + Min Value: 0 + Name: Image + Normalize Range: true + Queue Size: 2 + Transport Hint: raw + Unreliable: false + Value: false + Enabled: true + Global Options: + Background Color: 0; 0; 0 + Default Light: true + Fixed Frame: livox_frame + Frame Rate: 30 + Name: root + Tools: + - Class: rviz/Interact + Hide Inactive Objects: true + - Class: rviz/MoveCamera + - Class: rviz/Select + - Class: rviz/FocusCamera + - Class: rviz/Measure + - Class: rviz/SetInitialPose + Theta std deviation: 0.2617993950843811 + Topic: /initialpose + X std deviation: 0.5 + Y std deviation: 0.5 + - Class: rviz/SetGoal + Topic: /move_base_simple/goal + - Class: rviz/PublishPoint + Single click: true + Topic: /clicked_point + Value: true + Views: + Current: + Class: rviz/Orbit + Distance: 51.10423278808594 + Enable Stereo Rendering: + Stereo Eye Separation: 0.05999999865889549 + Stereo Focal Distance: 1 + Swap Stereo Eyes: false + Value: false + Focal Point: + X: 18.711523056030273 + Y: -0.11512601375579834 + Z: 9.523289680480957 + Focal Shape Fixed Size: true + Focal Shape Size: 0.05000000074505806 + Invert Z Axis: false + Name: Current View + Near Clip Distance: 0.009999999776482582 + Pitch: 1.2297977209091187 + Target Frame: base_link + Value: Orbit (rviz) + Yaw: 3.1499996185302734 + Saved: ~ +Window Geometry: + DecisionMakerPanel: + collapsed: false + Displays: + collapsed: false + Height: 1025 + Hide Left Dock: false + Hide Right Dock: true + Image: + collapsed: false + QMainWindow State: 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+ Selection: + collapsed: false + Time: + collapsed: false + Tool Properties: + collapsed: false + Views: + collapsed: true + Width: 1853 + X: 67 + Y: 34 diff --git a/src/livox_detect/src/clip.cpp b/src/livox_detect/src/clip.cpp new file mode 100644 index 0000000..1684e40 --- /dev/null +++ b/src/livox_detect/src/clip.cpp @@ -0,0 +1,65 @@ +/* + * @Description: 删除多余的点,划分合适的区域 + * @Version: 2.0 + * @Author: CXY + * @Date: 2021-10-10 18:51:40 + * @LastEditors: CXY + * @LastEditTime: 2021-10-22 19:02:30 + */ +#include "clip.h" +#include "config.h" +#include +#include +#include + +Clip::Clip(ros::NodeHandle &nh, ros::NodeHandle &private_nh) +{ + private_nh.param("min_x", min_x, cloud_x_min); + private_nh.param("max_x", max_x, cloud_x_max); + private_nh.param("min_y", min_y, cloud_y_min); + private_nh.param("max_y", max_y, cloud_y_max); + private_nh.param("min_z", min_z, cloud_z_min - offset_ground); + private_nh.param("max_z", max_z, cloud_z_max - offset_ground); + private_nh.param("min_base_x", min_base_x, -2.0); + private_nh.param("max_base_x", max_base_x, 2.0); + private_nh.param("min_base_y", min_base_y, -1.0); + private_nh.param("max_base_y", max_base_y, 1.0); + private_nh.param("min_base_z", min_base_z, -0.05); + private_nh.param("max_base_z", max_base_z, 0.05); +} + +void Clip::Process(const pcl::PointCloud &in_cloud, pcl::PointCloud &out_cloud) +{ + pcl::PointCloud filtered_cloud; + + //删除掉多余的点云 + for (size_t i = 0; i < in_cloud.size(); ++i) + { + float x = in_cloud.points[i].x; + float y = in_cloud.points[i].y; + float z = in_cloud.points[i].z; + if (IsIn(x, min_x, max_x) && (IsIn(y, min_y, max_y) && (IsIn(z, min_z, max_z)))) + { + if (!(IsIn(x, min_base_x, max_base_x) && IsIn(y, min_base_y, max_base_y) && IsIn(z, min_base_z, max_base_z))) + { + filtered_cloud.points.push_back(in_cloud.points[i]); + } + } + } + + //降采样 + pcl::VoxelGrid vg_filter; + vg_filter.setInputCloud(filtered_cloud.makeShared()); + vg_filter.setLeafSize(leaf_size, leaf_size, leaf_size); + vg_filter.filter(out_cloud); +} + +//判断点云是否在规定范围内 +bool Clip::IsIn(const float &a, const float &min, const float &max) +{ + return (a > min) && (a < max); +} + +Clip::~Clip() +{ +} diff --git a/src/iou3d_nms.cpp b/src/livox_detect/src/iou3d_nms.cpp similarity index 100% rename from src/iou3d_nms.cpp rename to src/livox_detect/src/iou3d_nms.cpp diff --git a/src/iou3d_nms_kernel.cu b/src/livox_detect/src/iou3d_nms_kernel.cu similarity index 100% rename from src/iou3d_nms_kernel.cu rename to src/livox_detect/src/iou3d_nms_kernel.cu diff --git a/src/livox_detect/src/livox_detection.cpp b/src/livox_detect/src/livox_detection.cpp new file mode 100644 index 0000000..bc437db --- /dev/null +++ b/src/livox_detect/src/livox_detection.cpp @@ -0,0 +1,642 @@ +// 自己定义的头文件 +#include "livox_detection.hpp" +#include "clip.h" + +// tensorRT include +// 编译用的头文件 +#include + +// onnx解析器的头文件 +#include + +// 推理用的运行时头文件 +#include + +// cuda include +#include + +// system include +#include +#include + +#include +#include +#include +#include +#include +#include +#include +#include + +#include + +#include +#include +#include +#include +#include +#include +#include + +// headers in local files +#include "autoware_msgs/DetectedObjectArray.h" + +// headers in ROS +#include +#include + +#define checkRuntime(op) __check_cuda_runtime((op), #op, __FILE__, __LINE__) + +std::string ONNX_Path = "/media/workspace/livox_detect/src/livox_detect/models/livox_detection_sim.onnx"; +std::string engine_Path = "/media/workspace/livox_detect/src/livox_detect/models/livox_detection_sim.engine"; + +bool __check_cuda_runtime(cudaError_t code, const char *op, const char *file, int line) +{ + if (code != cudaSuccess) + { + const char *err_name = cudaGetErrorName(code); + const char *err_message = cudaGetErrorString(code); + printf("runtime error %s:%d %s failed. \n code = %s, message = %s\n", file, line, op, err_name, err_message); + return false; + } + return true; +} + +// 通过智能指针管理nv返回的指针参数 +// 内存自动释放,避免泄漏 +template +std::shared_ptr<_T> make_nvshared(_T *ptr) +{ + return std::shared_ptr<_T>(ptr, [](_T *p) + { p->destroy(); }); +} + +bool exists(const std::string &path) +{ + +#ifdef _WIN32 + return ::PathFileExistsA(path.c_str()); +#else + return access(path.c_str(), R_OK) == 0; +#endif +} + +std::vector load_file(const std::string &file) +{ + std::ifstream in(file, std::ios::in | std::ios::binary); + if (!in.is_open()) + return {}; + + in.seekg(0, std::ios::end); + size_t length = in.tellg(); + + std::vector data; + if (length > 0) + { + in.seekg(0, std::ios::beg); + data.resize(length); + + in.read((char *)&data[0], length); + } + in.close(); + return data; +} + +// 上一节的代码 +bool build_model() +{ + if (exists(engine_Path.c_str())) + { + printf("Engine file has exists.\n"); + return true; + } + + TRTLogger logger; + + // 这是基本需要的组件 + auto builder = make_nvshared(nvinfer1::createInferBuilder(logger)); + auto config = make_nvshared(builder->createBuilderConfig()); + auto network = make_nvshared(builder->createNetworkV2(1)); + + // 通过onnxparser解析器解析的结果会填充到network中,类似addConv的方式添加进去 + auto parser = make_nvshared(nvonnxparser::createParser(*network, logger)); + if (!parser->parseFromFile(ONNX_Path.c_str(), 1)) + { + printf("Failed to parse onnx\n"); + + // 注意这里的几个指针还没有释放,是有内存泄漏的,后面考虑更优雅的解决 + return false; + } + + int maxBatchSize = 1; + printf("Workspace Size = %.2f MB\n", (1 << 28) / 1024.0f / 1024.0f); + config->setMaxWorkspaceSize(1 << 28); + + // 如果模型有多个输入,则必须多个profile + auto profile = builder->createOptimizationProfile(); + auto input_tensor = network->getInput(0); + auto input_dims = input_tensor->getDimensions(); + + // 配置最小、最优、最大范围 + input_dims.d[0] = 1; + profile->setDimensions(input_tensor->getName(), nvinfer1::OptProfileSelector::kMIN, input_dims); + profile->setDimensions(input_tensor->getName(), nvinfer1::OptProfileSelector::kOPT, input_dims); + input_dims.d[0] = maxBatchSize; + profile->setDimensions(input_tensor->getName(), nvinfer1::OptProfileSelector::kMAX, input_dims); + config->addOptimizationProfile(profile); + + auto engine = make_nvshared(builder->buildEngineWithConfig(*network, *config)); + if (engine == nullptr) + { + printf("Build engine failed.\n"); + return false; + } + + // 将模型序列化,并储存为文件 + auto model_data = make_nvshared(engine->serialize()); + FILE *f = fopen(engine_Path.c_str(), "wb"); + fwrite(model_data->data(), 1, model_data->size(), f); + fclose(f); + + // 卸载顺序按照构建顺序倒序 + printf("Done.\n"); + return true; +} + +void livox_detection::initTRT() +{ + TRTLogger logger; + engine_data = load_file(engine_Path.c_str()); + runtime = nvinfer1::createInferRuntime(logger); + engine = runtime->deserializeCudaEngine(engine_data.data(), engine_data.size()); + if (engine == nullptr) + { + printf("Deserialize cuda engine failed.\n"); + runtime->destroy(); + return; + } + + execution_context = (engine->createExecutionContext()); +} + +livox_detection::livox_detection() : private_nh_("~") +{ + private_nh_.param("ONNX_Path", ONNX_Path, ""); + private_nh_.param("engine_Path", engine_Path, ""); + + initTRT(); +} + +void livox_detection::point_filter(pcl::PointCloud::Ptr &cloud, const int min, const int max, std::string axis, bool setFilterLimitsNegative) +{ + pcl::PassThrough filter; + filter.setInputCloud(cloud); + filter.setFilterFieldName(axis); + + filter.setFilterLimits(min, max); + + if (setFilterLimitsNegative == true) + { + filter.setFilterLimitsNegative(true); + } + + filter.filter(*cloud); +} + +void livox_detection::mask_points_out_of_range(pcl::PointCloud::Ptr &in_pcl_pc_ptr) +{ + // pcl::PointXYZ min; + // pcl::PointXYZ max; + + point_filter(in_pcl_pc_ptr, cloud_x_min, cloud_x_max - 0.01, "x", false); + point_filter(in_pcl_pc_ptr, cloud_y_min, cloud_y_max - 0.01, "y", false); + point_filter(in_pcl_pc_ptr, cloud_z_min - offset_ground, cloud_z_max - offset_ground - 0.01, "z", false); + + // pcl::getMinMax3D(*in_pcl_pc_ptr, min, max); + + // std::cout << max.x << "," << min.x << std::endl; + // std::cout << max.y << "," << min.y << std::endl; + // std::cout << max.z << "," << min.z << std::endl; +} + +void livox_detection::pclToArray(const pcl::PointCloud::Ptr &in_pcl_pc_ptr, float *out_points_array) +{ + float DX = voxel_size[0]; + float DY = voxel_size[1]; + float DZ = voxel_size[2]; + + for (size_t i = 0; i < in_pcl_pc_ptr->size(); i++) + { + pcl::PointXYZ point = in_pcl_pc_ptr->at(i); + int pc_lidar_x = floor((point.x - cloud_x_min) / DX); + int pc_lidar_y = floor((point.y - cloud_y_min) / DY); + int pc_lidar_z = floor((point.z + offset_ground - cloud_z_min) / DZ); + out_points_array[BEV_W * BEV_H * pc_lidar_z + BEV_W * pc_lidar_y + pc_lidar_x] = 1; + } +} + +void livox_detection::preprocess(const pcl::PointCloud::Ptr &in_pcl_pc_ptr, pcl::PointCloud::Ptr &out_pcl_pc_ptr, float *out_points_array) +{ + std::cout << "livox detect preprocess start" << std::endl; + + Clip clip(nh_, private_nh_); + + clip.Process(*in_pcl_pc_ptr, *out_pcl_pc_ptr); //删除多余的点 + + // mask_points_out_of_range(out_pcl_pc_ptr); + + pclToArray(out_pcl_pc_ptr, out_points_array); + + std::cout << "livox detect preprocess finish" << std::endl; +} + +void livox_detection::postprocess(const float *rpn_all_output, std::vector &predResult) +{ + PostprocessCuda postprococess(NUM_ANCHOR, NUM_CLASS_, NUM_OUTPUT_BOX_FEATURE); + + checkRuntime(cudaMallocHost(&dev_filtered_box_, NUM_ANCHOR_ * NUM_OUTPUT_BOX_FEATURE * sizeof(float))); + checkRuntime(cudaMallocHost(&dev_filtered_score_, NUM_ANCHOR_ * sizeof(float))); + checkRuntime(cudaMallocHost(&dev_filtered_label_, NUM_ANCHOR_ * sizeof(int))); + checkRuntime(cudaMallocHost(&dev_keep_data_, NUM_ANCHOR_ * sizeof(long))); + + dev_filter_count_ = 0; + for (int i = 0; i < NUM_ANCHOR_; i++) + { + float box_px = rpn_all_output[i * 9 + 0]; + float box_py = rpn_all_output[i * 9 + 1]; + float box_pz = rpn_all_output[i * 9 + 2]; + float box_dx = rpn_all_output[i * 9 + 3]; + float box_dy = rpn_all_output[i * 9 + 4]; + float box_dz = rpn_all_output[i * 9 + 5]; + float box_theta = rpn_all_output[i * 9 + 6]; + float box_score = rpn_all_output[i * 9 + 7]; + int box_cls = rpn_all_output[i * 9 + 8]; + + dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 0] = box_px; + dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 1] = box_py; + dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 2] = box_pz; + dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 3] = box_dx; + dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 4] = box_dy; + dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 5] = box_dz; + dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 6] = box_theta; + + dev_filtered_score_[dev_filter_count_] = box_score; + dev_filtered_label_[dev_filter_count_] = box_cls; + + dev_filter_count_++; + } + + postprococess.doPostprocessCuda(rpn_all_output, dev_filtered_box_, dev_filtered_score_, dev_filtered_label_, dev_filter_count_, dev_keep_data_, predResult); + checkRuntime(cudaFreeHost(dev_filtered_box_)); + checkRuntime(cudaFreeHost(dev_filtered_score_)); + checkRuntime(cudaFreeHost(dev_filtered_label_)); + checkRuntime(cudaFreeHost(dev_keep_data_)); +} + +void livox_detection::doprocess(const pcl::PointCloud::Ptr &in_pcl_pc_ptr, std::vector &pre_box) +{ + + pcl::PointCloud::Ptr transformed_cloud_ptr(new pcl::PointCloud); + + checkRuntime(cudaMallocHost(&input_data_host, input_numel * sizeof(float))); + checkRuntime(cudaMalloc(&input_data_device, input_numel * sizeof(float))); + double t0 = ros::Time::now().toSec(); + preprocess(in_pcl_pc_ptr, transformed_cloud_ptr, input_data_host); + double t1 = ros::Time::now().toSec(); + printf("preprocess this frame takes %f ms\n\n", (t1 - t0) * 1000); + /////////////////////////////////////////////////// + // image to float + + /////////////////////////////////////////////////// + cudaStream_t stream = nullptr; + checkRuntime(cudaStreamCreate(&stream)); + + checkRuntime(cudaMemcpyAsync(input_data_device, input_data_host, input_numel * sizeof(float), cudaMemcpyHostToDevice, stream)); + + checkRuntime(cudaMallocHost(&output_data_host, OUTPUT_SIZE * sizeof(float))); + checkRuntime(cudaMalloc(&output_data_device, OUTPUT_SIZE * sizeof(float))); + + // 明确当前推理时,使用的数据输入大小 + auto input_dims = execution_context->getBindingDimensions(0); + input_dims.d[0] = input_batch; + + // 设置当前推理时,input大小 + execution_context->setBindingDimensions(0, input_dims); + float *bindings[] = {input_data_device, output_data_device}; + bool success = execution_context->enqueueV2((void **)bindings, stream, nullptr); + checkRuntime(cudaMemcpyAsync(output_data_host, output_data_device, OUTPUT_SIZE * sizeof(float), cudaMemcpyDeviceToHost, stream)); + checkRuntime(cudaStreamSynchronize(stream)); + + double t2 = ros::Time::now().toSec(); + printf("infer this frame takes %f ms\n\n", (t2 - t1) * 1000); + + postprocess(output_data_host, pre_box); + double t3 = ros::Time::now().toSec(); + printf("postprocess this frame takes %f ms\n\n", (t3 - t2) * 1000); + + checkRuntime(cudaStreamDestroy(stream)); + checkRuntime(cudaFreeHost(input_data_host)); + checkRuntime(cudaFreeHost(output_data_host)); + checkRuntime(cudaFree(input_data_device)); + checkRuntime(cudaFree(output_data_device)); + + std::cout << "livox detect infer finish" << std::endl; +} + +geometry_msgs::Pose livox_detection::getTransformedPose(const geometry_msgs::Pose &in_pose, const tf::Transform &tf) +{ + tf::Transform transform; + geometry_msgs::PoseStamped out_pose; + transform.setOrigin(tf::Vector3(in_pose.position.x, in_pose.position.y, in_pose.position.z)); + transform.setRotation( + tf::Quaternion(in_pose.orientation.x, in_pose.orientation.y, in_pose.orientation.z, in_pose.orientation.w)); + geometry_msgs::PoseStamped pose_out; + tf::poseTFToMsg(tf * transform, out_pose.pose); + return out_pose.pose; +} + +void livox_detection::pubDetectedObject_Marker(const std::vector &detections, const std_msgs::Header &in_header) +{ + autoware_msgs::DetectedObjectArray objects; + objects.header = in_header; + + // clear all markers before + visualization_msgs::MarkerArray empty_markers; + visualization_msgs::Marker clear_marker; + clear_marker.header = in_header; + clear_marker.ns = "objects"; + clear_marker.id = 0; + clear_marker.action = clear_marker.DELETEALL; + clear_marker.lifetime = ros::Duration(); + empty_markers.markers.push_back(clear_marker); + pub_objects_marker_.publish(empty_markers); + + visualization_msgs::MarkerArray object_markers; + + for (size_t i = 0; i < detections.size(); i++) + { + /*Autoware start*/ + autoware_msgs::DetectedObject object; + object.header = in_header; + object.valid = true; + object.pose_reliable = true; + + object.pose.position.x = detections[i].x; + object.pose.position.y = detections[i].y; + object.pose.position.z = detections[i].z - offset_ground; + + // Trained this way + float autoware_yaw = detections[i].theta; + autoware_yaw += M_PI / 2; + autoware_yaw = std::atan2(std::sin(autoware_yaw), std::cos(autoware_yaw)); + geometry_msgs::Quaternion q = tf::createQuaternionMsgFromYaw(autoware_yaw); + object.pose.orientation = q; + + // if (true) + // { + // object.pose = getTransformedPose(object.pose, angle_transform_inversed_); + // } + + // Again: Trained this way + object.dimensions.x = detections[i].dx; + object.dimensions.y = detections[i].dy; + object.dimensions.z = detections[i].dz; + + /*Auwoware Msg End*/ + + const float object_px = detections[i].x; + const float object_py = detections[i].y; + const float object_pz = detections[i].z - offset_ground; + const float object_dx = detections[i].dx; + const float object_dy = detections[i].dy; + const float object_dz = detections[i].dz; + const float object_yaw = detections[i].theta; + + float yaw = std::atan2(std::sin(object_yaw), std::cos(object_yaw)); + float cos_yaw = std::cos(yaw); + float sin_yaw = std::sin(yaw); + float half_dx = object_dx / 2; + float half_dy = object_dy / 2; + float half_dz = object_dz / 2; + + // for autoware + // geometry_msgs::Quaternion q = tf::createQuaternionMsgFromYaw(yaw+M_PI/2); + // object.pose.orientation = q; + + visualization_msgs::Marker box, dir_arrow, text_show; + box.header = dir_arrow.header = text_show.header = in_header; + box.ns = dir_arrow.ns = text_show.ns = "objects"; + box.id = i; + // dir_arrow.id = obj + objects_array.size(); + text_show.id = i + detections.size(); + box.type = visualization_msgs::Marker::LINE_LIST; + dir_arrow.type = visualization_msgs::Marker::ARROW; + text_show.type = visualization_msgs::Marker::TEXT_VIEW_FACING; + geometry_msgs::Point p[24]; + // Ground side + // A->B + p[0].x = object_px + half_dx * cos_yaw - half_dy * sin_yaw; + p[0].y = object_py + half_dx * sin_yaw + half_dy * cos_yaw; + p[0].z = object_pz - half_dz; + p[1].x = object_px + half_dx * cos_yaw + half_dy * sin_yaw; + p[1].y = object_py + half_dx * sin_yaw - half_dy * cos_yaw; + p[1].z = object_pz - half_dz; + // B->C + p[2].x = p[1].x; + p[2].y = p[1].y; + p[2].z = p[1].z; + p[3].x = object_px - half_dx * cos_yaw + half_dy * sin_yaw; + p[3].y = object_py - half_dx * sin_yaw - half_dy * cos_yaw; + p[3].z = object_pz - half_dz; + // C->D + p[4].x = p[3].x; + p[4].y = p[3].y; + p[4].z = p[3].z; + p[5].x = object_px - half_dx * cos_yaw - half_dy * sin_yaw; + p[5].y = object_py - half_dx * sin_yaw + half_dy * cos_yaw; + p[5].z = object_pz - half_dz; + // D->A + p[6].x = p[5].x; + p[6].y = p[5].y; + p[6].z = p[5].z; + p[7].x = p[0].x; + p[7].y = p[0].y; + p[7].z = p[0].z; + + // Top side + // E->F + p[8].x = p[0].x; + p[8].y = p[0].y; + p[8].z = object_pz + half_dz; + p[9].x = p[1].x; + p[9].y = p[1].y; + p[9].z = object_pz + half_dz; + // F->G + p[10].x = p[1].x; + p[10].y = p[1].y; + p[10].z = object_pz + half_dz; + p[11].x = p[3].x; + p[11].y = p[3].y; + p[11].z = object_pz + half_dz; + // G->H + p[12].x = p[3].x; + p[12].y = p[3].y; + p[12].z = object_pz + half_dz; + p[13].x = p[5].x; + p[13].y = p[5].y; + p[13].z = object_pz + half_dz; + // H->E + p[14].x = p[5].x; + p[14].y = p[5].y; + p[14].z = object_pz + half_dz; + p[15].x = p[0].x; + p[15].y = p[0].y; + p[15].z = object_pz + half_dz; + + // Around side + // A->E + p[16].x = p[0].x; + p[16].y = p[0].y; + p[16].z = p[0].z; + p[17].x = p[8].x; + p[17].y = p[8].y; + p[17].z = p[8].z; + // B->F + p[18].x = p[1].x; + p[18].y = p[1].y; + p[18].z = p[1].z; + p[19].x = p[9].x; + p[19].y = p[9].y; + p[19].z = p[9].z; + // C->G + p[20].x = p[3].x; + p[20].y = p[3].y; + p[20].z = p[3].z; + p[21].x = p[11].x; + p[21].y = p[11].y; + p[21].z = p[11].z; + // D->H + p[22].x = p[5].x; + p[22].y = p[5].y; + p[22].z = p[5].z; + p[23].x = p[13].x; + p[23].y = p[13].y; + p[23].z = p[13].z; + + for (size_t pi = 0u; pi < 24; ++pi) + { + box.points.push_back(p[pi]); + } + box.scale.x = 0.1; + // box.color = color; + box.color.a = 1.0; + box.color.r = 0.18; + box.color.g = 0.45; + box.color.b = 0.70; + + object_markers.markers.push_back(box); + + // text + geometry_msgs::Pose pose; + pose.position.x = object_px; + pose.position.y = object_py; + pose.position.z = object_pz + half_dz; + text_show.pose = pose; + + std::ostringstream str; + str.precision(2); + str.setf(std::ios::fixed); + // double vx = objects_array[obj]->velocity[0]; + // double vy = objects_array[obj]->velocity[1]; + // double ground_v = sqrt(vx * vx + vy * vy); + // double distance_ck = sqrt(center(0)*center(0) + center(1)*center(1)); + // str << "id:"<< objects_array[obj]->track_id<<"\n" ;//<< "v:" << ground_v; + // str << "d: "<::Ptr pcl_pc_ptr(new pcl::PointCloud); + pcl::fromROSMsg(*msg, *pcl_pc_ptr); + // double start_time = ros::Time::now().toSec(); + + // 去除128中的nan点 + pcl::PointCloud::Ptr filtered_cloud_ptr(new pcl::PointCloud); + for (size_t i = 0; i < pcl_pc_ptr->size(); i++) + { + pcl::PointXYZ point = pcl_pc_ptr->at(i); + if (std::isnan(point.x) || std::isinf(point.x) || std::isnan(point.y) || std::isinf(point.y) || + std::isnan(point.z) || std::isinf(point.z)) + { + continue; + } + filtered_cloud_ptr->push_back(point); + } + pcl_pc_ptr = filtered_cloud_ptr; + + // 去除128中的nan点 + pcl::PointCloud::Ptr out_pcl_pc_ptr(new pcl::PointCloud); + Eigen::Affine3f transform = Eigen::Affine3f::Identity(); + transform.rotate(Eigen::AngleAxisf(theta, Eigen::Vector3f::UnitX())); //同理,UnitX(),绕X轴;UnitY(),绕Y轴 + pcl::transformPointCloud(*pcl_pc_ptr, *out_pcl_pc_ptr, transform); + + std::vector pre_box; + double start_time = ros::Time::now().toSec(); + doprocess(out_pcl_pc_ptr, pre_box); + + pubDetectedObject_Marker(pre_box, msg->header); + double end_time = ros::Time::now().toSec(); + printf("deal this frame takes %f ms\n\n", (end_time - start_time) * 1000); +} + +void livox_detection::createROSPubSub() +{ + sub_points_ = nh_.subscribe("/livox_full_cloud", 100, &livox_detection::pointsCallback, this); + pub_objects_ = nh_.advertise("/detection/lidar_detector_3d/objects", 1); + pub_objects_marker_ = nh_.advertise("/detection/pointpillars_objects", 1); +} + +livox_detection::~livox_detection() +{ + execution_context->destroy(); + runtime->destroy(); + engine->destroy(); +} diff --git a/src/livox_detect/src/main.cpp b/src/livox_detect/src/main.cpp new file mode 100755 index 0000000..e251c81 --- /dev/null +++ b/src/livox_detect/src/main.cpp @@ -0,0 +1,23 @@ +// 自己定义的头文件 +#include "livox_detection.hpp" + +#include + +int main(int argc, char **argv) +{ + if (!build_model()) + { + return -1; + } + ros::init(argc, argv, "livox_detection"); + + livox_detection livox; + livox.createROSPubSub(); + + while (ros::ok()) + { + ros::spinOnce(); + } + + return 0; +} \ No newline at end of file diff --git a/src/postprocess_cuda.cu b/src/livox_detect/src/postprocess_cuda.cu similarity index 98% rename from src/postprocess_cuda.cu rename to src/livox_detect/src/postprocess_cuda.cu index fcc9273..3125ed5 100644 --- a/src/postprocess_cuda.cu +++ b/src/livox_detect/src/postprocess_cuda.cu @@ -73,7 +73,7 @@ void PostprocessCuda::doPostprocessCuda(const float *rpn_all_output, float *dev_ for (auto i = 0; i < boxSizeAft; i++) { int ii = dev_keep_data[i]; - std::cout << i << ", " << ii << ", \n"; + // std::cout << i << ", " << ii << ", \n"; int idx = ii; Box box; diff --git a/src/livox_detection.cpp b/src/livox_detection.cpp deleted file mode 100644 index 55475c3..0000000 --- a/src/livox_detection.cpp +++ /dev/null @@ -1,370 +0,0 @@ -// 自己定义的头文件 -#include "livox_detection.hpp" - -// tensorRT include -// 编译用的头文件 -#include - -// onnx解析器的头文件 -#include - -// 推理用的运行时头文件 -#include - -// cuda include -#include - -// system include -#include -#include - -#include -#include -#include -#include -#include -#include -#include -#include - -#include - -#include -#include -#include -#include -#include -#include -#include - -#define checkRuntime(op) __check_cuda_runtime((op), #op, __FILE__, __LINE__) - -std::string ONNX_Path = "/home/jjho/code/my_project/livox_detect/models/livox_detection_sim.onnx"; -std::string engine_Path = "/home/jjho/code/my_project/livox_detect/models/livox_detection_sim.engine"; - -bool __check_cuda_runtime(cudaError_t code, const char *op, const char *file, int line) -{ - if (code != cudaSuccess) - { - const char *err_name = cudaGetErrorName(code); - const char *err_message = cudaGetErrorString(code); - printf("runtime error %s:%d %s failed. \n code = %s, message = %s\n", file, line, op, err_name, err_message); - return false; - } - return true; -} - -// 通过智能指针管理nv返回的指针参数 -// 内存自动释放,避免泄漏 -template -std::shared_ptr<_T> make_nvshared(_T *ptr) -{ - return std::shared_ptr<_T>(ptr, [](_T *p) - { p->destroy(); }); -} - -bool exists(const std::string &path) -{ - -#ifdef _WIN32 - return ::PathFileExistsA(path.c_str()); -#else - return access(path.c_str(), R_OK) == 0; -#endif -} - -std::vector load_file(const std::string &file) -{ - std::ifstream in(file, std::ios::in | std::ios::binary); - if (!in.is_open()) - return {}; - - in.seekg(0, std::ios::end); - size_t length = in.tellg(); - - std::vector data; - if (length > 0) - { - in.seekg(0, std::ios::beg); - data.resize(length); - - in.read((char *)&data[0], length); - } - in.close(); - return data; -} - -// 上一节的代码 -bool build_model() -{ - if (exists(engine_Path.c_str())) - { - printf("Engine file has exists.\n"); - return true; - } - - TRTLogger logger; - - // 这是基本需要的组件 - auto builder = make_nvshared(nvinfer1::createInferBuilder(logger)); - auto config = make_nvshared(builder->createBuilderConfig()); - auto network = make_nvshared(builder->createNetworkV2(1)); - - // 通过onnxparser解析器解析的结果会填充到network中,类似addConv的方式添加进去 - auto parser = make_nvshared(nvonnxparser::createParser(*network, logger)); - if (!parser->parseFromFile(ONNX_Path.c_str(), 1)) - { - printf("Failed to parse onnx\n"); - - // 注意这里的几个指针还没有释放,是有内存泄漏的,后面考虑更优雅的解决 - return false; - } - - int maxBatchSize = 1; - printf("Workspace Size = %.2f MB\n", (1 << 28) / 1024.0f / 1024.0f); - config->setMaxWorkspaceSize(1 << 28); - - // 如果模型有多个输入,则必须多个profile - auto profile = builder->createOptimizationProfile(); - auto input_tensor = network->getInput(0); - auto input_dims = input_tensor->getDimensions(); - - // 配置最小、最优、最大范围 - input_dims.d[0] = 1; - profile->setDimensions(input_tensor->getName(), nvinfer1::OptProfileSelector::kMIN, input_dims); - profile->setDimensions(input_tensor->getName(), nvinfer1::OptProfileSelector::kOPT, input_dims); - input_dims.d[0] = maxBatchSize; - profile->setDimensions(input_tensor->getName(), nvinfer1::OptProfileSelector::kMAX, input_dims); - config->addOptimizationProfile(profile); - - auto engine = make_nvshared(builder->buildEngineWithConfig(*network, *config)); - if (engine == nullptr) - { - printf("Build engine failed.\n"); - return false; - } - - // 将模型序列化,并储存为文件 - auto model_data = make_nvshared(engine->serialize()); - FILE *f = fopen(engine_Path.c_str(), "wb"); - fwrite(model_data->data(), 1, model_data->size(), f); - fclose(f); - - // 卸载顺序按照构建顺序倒序 - printf("Done.\n"); - return true; -} - -livox_detection::livox_detection() -{ -} - -inline void livox_detection::point_filter(pcl::PointCloud::Ptr &cloud, const int min, const int max, std::string axis, bool setFilterLimitsNegative) -{ - pcl::PassThrough filter; - filter.setInputCloud(cloud); - filter.setFilterFieldName(axis); - - filter.setFilterLimits(min, max); - - if (setFilterLimitsNegative == true) - { - filter.setFilterLimitsNegative(true); - } - - filter.filter(*cloud); -} - -void livox_detection::mask_points_out_of_range(pcl::PointCloud::Ptr &in_pcl_pc_ptr) -{ - pcl::PointXYZ min; - pcl::PointXYZ max; - - point_filter(in_pcl_pc_ptr, cloud_x_min, cloud_x_max - 0.01, "x", false); - point_filter(in_pcl_pc_ptr, cloud_y_min, cloud_y_max - 0.01, "y", false); - point_filter(in_pcl_pc_ptr, cloud_z_min, cloud_z_max - 0.01, "z", false); - - pcl::getMinMax3D(*in_pcl_pc_ptr, min, max); - - std::cout << max.x << "," << min.x << std::endl; - std::cout << max.y << "," << min.y << std::endl; - std::cout << max.z << "," << min.z << std::endl; -} - -void livox_detection::pclToArray(const pcl::PointCloud::Ptr &in_pcl_pc_ptr, float *out_points_array) -{ - float DX = voxel_size[0]; - float DY = voxel_size[1]; - float DZ = voxel_size[2]; - - for (size_t i = 0; i < in_pcl_pc_ptr->size(); i++) - { - pcl::PointXYZ point = in_pcl_pc_ptr->at(i); - int pc_lidar_x = floor((point.x - cloud_x_min) / DX); - int pc_lidar_y = floor((point.y - cloud_y_min) / DY); - int pc_lidar_z = floor((point.z - cloud_z_min) / DZ); - out_points_array[BEV_W * BEV_H * pc_lidar_z + BEV_W * pc_lidar_y + pc_lidar_x] = 1; - } -} - -void livox_detection::preprocess(const pcl::PointCloud::Ptr &in_pcl_pc_ptr, pcl::PointCloud::Ptr &out_pcl_pc_ptr, float *out_points_array) -{ - std::cout << "livox detect preprocess start" << std::endl; - - float theta = 0; - - Eigen::Affine3f transform = Eigen::Affine3f::Identity(); - transform.rotate(Eigen::AngleAxisf(theta, Eigen::Vector3f::UnitX())); //同理,UnitX(),绕X轴;UnitY(),绕Y轴 - transform.translation() << 0.0, 0.0, offset_ground; // 三个数分别对应X轴、Y轴、Z轴方向上的平移 - - pcl::transformPointCloud(*in_pcl_pc_ptr, *out_pcl_pc_ptr, transform); - - mask_points_out_of_range(out_pcl_pc_ptr); - - pclToArray(out_pcl_pc_ptr, out_points_array); - - std::cout << "livox detect preprocess finish" << std::endl; -} - -void livox_detection::postprocess(const float *rpn_all_output, std::vector &predResult) -{ - PostprocessCuda postprococess(NUM_ANCHOR, NUM_CLASS_, NUM_OUTPUT_BOX_FEATURE); - - checkRuntime(cudaMallocHost(&dev_filtered_box_, NUM_ANCHOR_ * NUM_OUTPUT_BOX_FEATURE * sizeof(float))); - checkRuntime(cudaMallocHost(&dev_filtered_score_, NUM_ANCHOR_ * sizeof(float))); - checkRuntime(cudaMallocHost(&dev_filtered_label_, NUM_ANCHOR_ * sizeof(int))); - checkRuntime(cudaMallocHost(&dev_keep_data_, NUM_ANCHOR_ * sizeof(long))); - - dev_filter_count_ = 0; - for (int i = 0; i < NUM_ANCHOR_; i++) - { - float box_px = rpn_all_output[i * 9 + 0]; - float box_py = rpn_all_output[i * 9 + 1]; - float box_pz = rpn_all_output[i * 9 + 2]; - float box_dx = rpn_all_output[i * 9 + 3]; - float box_dy = rpn_all_output[i * 9 + 4]; - float box_dz = rpn_all_output[i * 9 + 5]; - float box_theta = rpn_all_output[i * 9 + 6]; - float box_score = rpn_all_output[i * 9 + 7]; - int box_cls = rpn_all_output[i * 9 + 8]; - - dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 0] = box_px; - dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 1] = box_py; - dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 2] = box_pz; - dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 3] = box_dx; - dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 4] = box_dy; - dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 5] = box_dz; - dev_filtered_box_[dev_filter_count_ * NUM_OUTPUT_BOX_FEATURE + 6] = box_theta; - - dev_filtered_score_[dev_filter_count_] = box_score; - dev_filtered_label_[dev_filter_count_] = box_cls; - - dev_filter_count_++; - } - - postprococess.doPostprocessCuda(rpn_all_output, dev_filtered_box_, dev_filtered_score_, dev_filtered_label_, dev_filter_count_, dev_keep_data_, predResult); - checkRuntime(cudaFreeHost(dev_filtered_box_)); - checkRuntime(cudaFreeHost(dev_filtered_score_)); - checkRuntime(cudaFreeHost(dev_filtered_label_)); - checkRuntime(cudaFreeHost(dev_keep_data_)); -} - -void livox_detection::doprocess(const pcl::PointCloud::Ptr &in_pcl_pc_ptr) -{ - TRTLogger logger; - auto engine_data = load_file(engine_Path.c_str()); - auto runtime = make_nvshared(nvinfer1::createInferRuntime(logger)); - auto engine = make_nvshared(runtime->deserializeCudaEngine(engine_data.data(), engine_data.size())); - if (engine == nullptr) - { - printf("Deserialize cuda engine failed.\n"); - runtime->destroy(); - return; - } - - cudaStream_t stream = nullptr; - checkRuntime(cudaStreamCreate(&stream)); - auto execution_context = make_nvshared(engine->createExecutionContext()); - - int input_batch = 1; - int input_numel = input_batch * BEV_C * BEV_H * BEV_W; - float *input_data_host; - float *input_data_device; - - pcl::PointCloud::Ptr transformed_cloud_ptr(new pcl::PointCloud); - - checkRuntime(cudaMallocHost(&input_data_host, input_numel * sizeof(float))); - checkRuntime(cudaMalloc(&input_data_device, input_numel * sizeof(float))); - - clock_t start = clock(); - - preprocess(in_pcl_pc_ptr, transformed_cloud_ptr, input_data_host); - - /////////////////////////////////////////////////// - // image to float - - /////////////////////////////////////////////////// - checkRuntime(cudaMemcpyAsync(input_data_device, input_data_host, input_numel * sizeof(float), cudaMemcpyHostToDevice, stream)); - - // 3x3输入,对应3x3输出 - float *output_data_host; - float *output_data_device; - checkRuntime(cudaMallocHost(&output_data_host, OUTPUT_SIZE * sizeof(float))); - checkRuntime(cudaMalloc(&output_data_device, OUTPUT_SIZE * sizeof(float))); - - // 明确当前推理时,使用的数据输入大小 - auto input_dims = execution_context->getBindingDimensions(0); - input_dims.d[0] = input_batch; - - // 设置当前推理时,input大小 - execution_context->setBindingDimensions(0, input_dims); - float *bindings[] = {input_data_device, output_data_device}; - bool success = execution_context->enqueueV2((void **)bindings, stream, nullptr); - checkRuntime(cudaMemcpyAsync(output_data_host, output_data_device, OUTPUT_SIZE * sizeof(float), cudaMemcpyDeviceToHost, stream)); - checkRuntime(cudaStreamSynchronize(stream)); - - clock_t end = clock(); - printf("Total time: %lf s \n", (double)(end - start) / CLOCKS_PER_SEC); - - std::vector Box_Vehicle; - - postprocess(output_data_host, Box_Vehicle); - - checkRuntime(cudaStreamDestroy(stream)); - - std::cout << "livox detect infer finish" << std::endl; - - checkRuntime(cudaFreeHost(input_data_host)); - checkRuntime(cudaFreeHost(output_data_host)); - checkRuntime(cudaFree(input_data_device)); - checkRuntime(cudaFree(output_data_device)); - - boost::shared_ptr viewer(new pcl::visualization::PCLVisualizer("cloud")); - viewer->addPointCloud(transformed_cloud_ptr, "sample cloud"); - viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 1, "sample cloud"); - viewer->addCoordinateSystem(1.0); - viewer->initCameraParameters(); - - viewer->setBackgroundColor(0, 0, 0); - - for (int i = 0; i < Box_Vehicle.size(); i++) - { - std::string name = "Vehicle" + std::to_string(i); - viewer->addCube(float(Box_Vehicle[i].x) - Box_Vehicle[i].dx / 2, Box_Vehicle[i].x + Box_Vehicle[i].dx / 2, float(Box_Vehicle[i].y) - Box_Vehicle[i].dy / 2, Box_Vehicle[i].y + Box_Vehicle[i].dy / 2, float(Box_Vehicle[i].z) - Box_Vehicle[i].dz / 2, Box_Vehicle[i].z + Box_Vehicle[i].dz / 2, 1.0, 1.0, 1.0, name); - viewer->setShapeRenderingProperties(pcl::visualization::PCL_VISUALIZER_COLOR, 1, 0, 0, name); //绿框 - viewer->setShapeRenderingProperties(pcl::visualization::PCL_VISUALIZER_REPRESENTATION, pcl::visualization::PCL_VISUALIZER_REPRESENTATION_WIREFRAME, name); - - viewer->setShapeRenderingProperties(pcl::visualization::PCL_VISUALIZER_OPACITY, 0.1, name); - viewer->setShapeRenderingProperties(pcl::visualization::PCL_VISUALIZER_LINE_WIDTH, 3, name); - } - - while (!viewer->wasStopped()) - { - viewer->spinOnce(100); - boost::this_thread::sleep(boost::posix_time::microseconds(100000)); - } -} - -livox_detection::~livox_detection() -{ -} diff --git a/src/main.cpp b/src/main.cpp deleted file mode 100755 index 7fa6033..0000000 --- a/src/main.cpp +++ /dev/null @@ -1,61 +0,0 @@ -// 自己定义的头文件 -#include "livox_detection.hpp" - -// tensorRT include -// 编译用的头文件 -#include - -// onnx解析器的头文件 -#include - -// 推理用的运行时头文件 -#include - -// cuda include -#include - -// system include -#include -#include - -#include -#include -#include -#include -#include -#include -#include -#include //必须引用 -#include -#include - -#include - -#include -#include -#include -#include - -void inference() -{ - std::string data_path = "/home/jjho/code/my_project/livox_detect/data/livox.pcd"; - pcl::PointCloud::Ptr input_cloud(new pcl::PointCloud); - if (pcl::io::loadPCDFile(data_path, *input_cloud) == -1) - { - std::cerr << "open failed!" << std::endl; - } - - livox_detection livox; - - livox.doprocess(input_cloud); -} - -int main() -{ - if (!build_model()) - { - return -1; - } - inference(); - return 0; -} \ No newline at end of file diff --git a/src/visualization/decision_maker_panel/CHANGELOG.rst b/src/visualization/decision_maker_panel/CHANGELOG.rst new file mode 100755 index 0000000..d751938 --- /dev/null +++ b/src/visualization/decision_maker_panel/CHANGELOG.rst @@ -0,0 +1,8 @@ +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +Changelog for package decision_maker_panel +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +1.11.0 (2019-03-21) +------------------- +* [Feature] Rebuild decision maker (`#1609 `_) +* Contributors: s-azumi diff --git a/src/visualization/decision_maker_panel/CMakeLists.txt b/src/visualization/decision_maker_panel/CMakeLists.txt new file mode 100755 index 0000000..29bf010 --- /dev/null +++ b/src/visualization/decision_maker_panel/CMakeLists.txt @@ -0,0 +1,50 @@ +cmake_minimum_required(VERSION 2.8.3) +project(decision_maker_panel) + +# find_package(autoware_build_flags REQUIRED) +find_package(catkin REQUIRED COMPONENTS + autoware_msgs + rviz + std_msgs +) + +if(rviz_QT_VERSION VERSION_LESS "5") + message(STATUS "Using Qt4 based on the rviz_QT_VERSION: ${rviz_QT_VERSION}") + find_package(Qt4 ${rviz_QT_VERSION} EXACT REQUIRED QtCore QtGui) + ## pull in all required include dirs, define QT_LIBRARIES, etc. + include(${QT_USE_FILE}) +else() + message(STATUS "Using Qt5 based on the rviz_QT_VERSION: ${rviz_QT_VERSION}") + find_package(Qt5 ${rviz_QT_VERSION} EXACT REQUIRED Core Widgets) + ## make target_link_libraries(${QT_LIBRARIES}) pull in all required dependencies + set(QT_LIBRARIES Qt5::Widgets) +endif() + +catkin_package( + DEPENDS rviz +) + +include_directories( + ${catkin_INCLUDE_DIRS} +) +SET(CMAKE_CXX_FLAGS "-O2 -g -Wall -Wno-unused-result -DROS ${CMAKE_CXX_FLAGS}") + +add_definitions(-DQT_NO_KEYWORDS -g) + +set(CMAKE_AUTOMOC ON) +set(SOURCE_FILES + src/decision_maker_panel.cpp +) + +add_library(decision_maker_panel ${SOURCE_FILES} ${UIC_FILES}) +target_link_libraries(decision_maker_panel ${QT_LIBRARIES} ${catkin_LIBRARIES} ${rviz_DEFAULT_PLUGIN_LIBRARIES}) + +install(TARGETS ${PROJECT_NAME} + ARCHIVE DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION} + LIBRARY DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION} + RUNTIME DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION} +) + +install(FILES plugin_description.xml + DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION} +) diff --git a/src/visualization/decision_maker_panel/package.xml b/src/visualization/decision_maker_panel/package.xml new file mode 100755 index 0000000..e5123e2 --- /dev/null +++ b/src/visualization/decision_maker_panel/package.xml @@ -0,0 +1,25 @@ + + + decision_maker_panel + 1.12.0 + The decision_maker_panel package + Azumi Suzuki + Yusuke FUJII + h_ohta + Apache 2 + + autoware_build_flags + catkin + + autoware_msgs + qtbase5-dev + rviz + std_msgs + + libqt5-core + libqt5-widgets + + + + + diff --git a/src/visualization/decision_maker_panel/plugin_description.xml b/src/visualization/decision_maker_panel/plugin_description.xml new file mode 100755 index 0000000..9feeb6b --- /dev/null +++ b/src/visualization/decision_maker_panel/plugin_description.xml @@ -0,0 +1,9 @@ + + + + A panel widget to order state_cmd for decision_maekr. + + + diff --git a/src/visualization/decision_maker_panel/src/decision_maker_panel.cpp b/src/visualization/decision_maker_panel/src/decision_maker_panel.cpp new file mode 100755 index 0000000..4bfa897 --- /dev/null +++ b/src/visualization/decision_maker_panel/src/decision_maker_panel.cpp @@ -0,0 +1,329 @@ +/* + * Copyright (c) 2018, TierIV Inc. + * 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 Willow Garage, Inc. 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 OWNER 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 + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include + +#include +#include +#include "autoware_msgs/RemoteCmd.h" +#include "decision_maker_panel.h" + +namespace autoware_rviz_debug +{ +// BEGIN_TUTORIAL +// Here is the implementation of the DecisionMakerPanel class. DecisionMakerPanel +// has these responsibilities: +// +// - Act as a container for GUI elements DriveWidget and QLineEdit. +// - Publish command velocities 10 times per second (whether 0 or not). +// - Saving and restoring internal state from a config file. +// +// We start with the constructor, doing the standard Qt thing of +// passing the optional *parent* argument on to the superclass +// constructor, and also zero-ing the velocities we will be +// publishing. + +class StateInfo +{ +private: +public: + uint64_t state_num_; + uint8_t state_category_; + std::string state_num_name_; + std::string state_category_name_; +}; + +DecisionMakerPanel::DecisionMakerPanel(QWidget* parent) : rviz::Panel(parent) +{ + statecmd_publisher_ = nh_.advertise("/state_cmd", 1); + emergency_publisher_ = nh_.advertise("/remote_cmd", 1); + + // Next we lay out the "output topic" text entry field using a + // QLabel and a QLineEdit in a QHBoxLayout. + QGridLayout* label_layout = new QGridLayout; + label_layout->addWidget(new QLabel("DecisionMaker QuickOrder"), 0, 0); + + QSignalMapper* signalMapper = new QSignalMapper(this); + connect(signalMapper, SIGNAL(mapped(QString)), this, SLOT(sendTopic(QString))); + + QMap buttons_def; + // main + buttons_def["engage"] = new QPushButton("\nEngage\n"); + signalMapper->setMapping(buttons_def["engage"], QString("engage")); + buttons_def["stop"] = new QPushButton("\nStop\n"); + signalMapper->setMapping(buttons_def["stop"], QString("wait")); + buttons_def["go"] = new QPushButton("\nGo\n"); + signalMapper->setMapping(buttons_def["go"], QString("clear")); + // execute + buttons_def["execute_lane_change"] = new QPushButton("Execute \nLaneChange"); + signalMapper->setMapping(buttons_def["execute_lane_change"], QString("execute_lane_change")); + // mission + buttons_def["request_mission_change"] = new QPushButton("Request \nmission change"); + signalMapper->setMapping(buttons_def["request_mission_change"], QString("request_mission_change")); + buttons_def["return_to_driving"] = new QPushButton("Return \nto driving"); + signalMapper->setMapping(buttons_def["return_to_driving"], QString("return_to_driving")); + buttons_def["mission_canceled"] = new QPushButton("Mission \ncancel"); + signalMapper->setMapping(buttons_def["mission_canceled"], QString("mission_canceled")); + // emergency + buttons_def["emergency"] = new QPushButton("Emergency"); + signalMapper->setMapping(buttons_def["emergency"], QString("emergency")); + buttons_def["return_from_emergency"] = new QPushButton("Return \nfrom emergency"); + signalMapper->setMapping(buttons_def["return_from_emergency"], QString("return_from_emergency")); + buttons_def["return_to_ready"] = new QPushButton("Return \nto ready"); + signalMapper->setMapping(buttons_def["return_to_ready"], QString("return_to_ready")); + // set options + QMap::const_iterator i = buttons_def.constBegin(); + QFont* q_font = new QFont("Arial", 11); + QSizePolicy* q_size_policy = new QSizePolicy(QSizePolicy::Expanding, QSizePolicy::Expanding); + while (i != buttons_def.constEnd()) + { + i.value()->setSizePolicy(*q_size_policy); + i.value()->setFont(*q_font); + connect(i.value(), SIGNAL(clicked()), signalMapper, SLOT(map())); + ++i; + } + + QGridLayout* button_layout_main = new QGridLayout; + button_layout_main->addWidget(new QLabel("Main"), 0, 0); + button_layout_main->addWidget(buttons_def["engage"], 1, 0); + button_layout_main->addWidget(buttons_def["stop"], 1, 1); + button_layout_main->addWidget(buttons_def["go"], 1, 2); + + QGridLayout* button_layout_execute = new QGridLayout; + button_layout_execute->addWidget(new QLabel("Execute"), 0, 0); button_layout_execute->addWidget(buttons_def["execute_lane_change"], 1, 0); + + QGridLayout* button_layout_mission = new QGridLayout; + button_layout_mission->addWidget(new QLabel("Mission"), 0, 0); + button_layout_mission->addWidget(buttons_def["request_mission_change"], 1, 0); + button_layout_mission->addWidget(buttons_def["return_to_driving"], 1, 1); + button_layout_mission->addWidget(buttons_def["mission_canceled"], 1, 2); + + QGridLayout* button_layout_emergency = new QGridLayout; + button_layout_emergency->addWidget(new QLabel("Emergency"), 0, 0); + button_layout_emergency->addWidget(buttons_def["emergency"], 1, 0); + button_layout_emergency->addWidget(buttons_def["return_from_emergency"], 1, 1); + button_layout_emergency->addWidget(buttons_def["return_to_ready"], 1, 2); + + + QMap buttons_ext; + // state vehicle + buttons_ext["sensor_is_ready"] = new QPushButton("Sensor is ready"); + signalMapper->setMapping(buttons_ext["sensor_is_ready"], QString("sensor_is_ready")); + buttons_ext["map_is_ready"] = new QPushButton("Map is ready"); + signalMapper->setMapping(buttons_ext["map_is_ready"], QString("map_is_ready")); + buttons_ext["localization_is_ready"] = new QPushButton("Localization \nis ready"); + signalMapper->setMapping(buttons_ext["localization_is_ready"], QString("localization_is_ready")); + buttons_ext["planning_is_ready"] = new QPushButton("Planning is ready"); + signalMapper->setMapping(buttons_ext["planning_is_ready"], QString("planning_is_ready")); + buttons_ext["vehicle_is_ready"] = new QPushButton("Vehicle is ready"); + signalMapper->setMapping(buttons_ext["vehicle_is_ready"], QString("vehicle_is_ready")); + // state mission + buttons_ext["received_mission_order"] = new QPushButton("Received mission order"); + signalMapper->setMapping(buttons_ext["received_mission_order"], QString("received_mission_order")); + buttons_ext["mission_is_compatible"] = new QPushButton("Mission is compatible"); + signalMapper->setMapping(buttons_ext["mission_is_compatible"], QString("mission_is_compatible")); + buttons_ext["mission_aborted"] = new QPushButton("Mission aborted"); + signalMapper->setMapping(buttons_ext["mission_aborted"], QString("mission_aborted")); + buttons_ext["arrived_goal"] = new QPushButton("Arrived goal"); + signalMapper->setMapping(buttons_ext["arrived_goal"], QString("arrived_goal")); + buttons_ext["request_mission_change"] = new QPushButton("Request mission change"); + signalMapper->setMapping(buttons_ext["request_mission_change"], QString("request_mission_change")); + buttons_ext["mission_is_conflicting"] = new QPushButton("Mission is conflicting"); + signalMapper->setMapping(buttons_ext["mission_is_conflicting"], QString("mission_is_conflicting")); + buttons_ext["return_to_driving"] = new QPushButton("Return to driving"); + signalMapper->setMapping(buttons_ext["return_to_driving"], QString("return_to_driving")); + buttons_ext["goto_wait_order"] = new QPushButton("Go to WaitOrder"); + signalMapper->setMapping(buttons_ext["goto_wait_order"], QString("goto_wait_order")); + // state drive + buttons_ext["operation_start"] = new QPushButton("Operation start"); + signalMapper->setMapping(buttons_ext["operation_start"], QString("operation_start")); + buttons_ext["operation_end"] = new QPushButton("Operation end"); + signalMapper->setMapping(buttons_ext["operation_end"], QString("operation_end")); + buttons_ext["on_lane_area"] = new QPushButton("Lane area"); + signalMapper->setMapping(buttons_ext["on_lane_area"], QString("on_lane_area")); + buttons_ext["on_free_area"] = new QPushButton("Free area"); + signalMapper->setMapping(buttons_ext["on_free_area"], QString("on_free_area")); + buttons_ext["on_cruise"] = new QPushButton("Cruise"); + signalMapper->setMapping(buttons_ext["on_cruise"], QString("on_cruise")); + buttons_ext["on_bus_stop"] = new QPushButton("Bus stop"); + signalMapper->setMapping(buttons_ext["on_bus_stop"], QString("on_bus_stop")); + buttons_ext["on_parking"] = new QPushButton("Parking"); + signalMapper->setMapping(buttons_ext["on_parking"], QString("on_parking")); + buttons_ext["on_straight"] = new QPushButton("Straight"); + signalMapper->setMapping(buttons_ext["on_straight"], QString("on_straight")); + buttons_ext["on_right_turn"] = new QPushButton("Right turn"); + signalMapper->setMapping(buttons_ext["on_right_turn"], QString("on_right_turn")); + buttons_ext["on_left_turn"] = new QPushButton("Left turn"); + signalMapper->setMapping(buttons_ext["on_left_turn"], QString("on_left_turn")); + buttons_ext["on_back"] = new QPushButton("Back"); + signalMapper->setMapping(buttons_ext["on_back"], QString("on_back")); + buttons_ext["lane_change_right"] = new QPushButton("Lanechange Right"); + signalMapper->setMapping(buttons_ext["lane_change_right"], QString("lane_change_right")); + buttons_ext["lane_change_left"] = new QPushButton("Lanechange Left"); + signalMapper->setMapping(buttons_ext["lane_change_left"], QString("lane_change_left")); + buttons_ext["on_pull_over"] = new QPushButton("Pull over"); + signalMapper->setMapping(buttons_ext["on_pull_over"], QString("on_pull_over")); + buttons_ext["on_pull_out"] = new QPushButton("Pull out"); + signalMapper->setMapping(buttons_ext["on_pull_out"], QString("on_pull_out")); + // set options + QMap::const_iterator j = buttons_ext.constBegin(); + while (j != buttons_ext.constEnd()) + { + j.value()->setSizePolicy(*q_size_policy); + j.value()->setFont(*q_font); + connect(j.value(), SIGNAL(clicked()), signalMapper, SLOT(map())); + ++j; + } + + // state vehicle + QGridLayout* extra_layout_vehicle = new QGridLayout; + extra_layout_vehicle->addWidget(new QLabel("state Vehicle"), 0, 0); + extra_layout_vehicle->addWidget(buttons_ext["sensor_is_ready"], 1, 0); + extra_layout_vehicle->addWidget(buttons_ext["map_is_ready"], 1, 1); + extra_layout_vehicle->addWidget(buttons_ext["localization_is_ready"], 1, 2); + extra_layout_vehicle->addWidget(buttons_ext["planning_is_ready"], 2, 0); + extra_layout_vehicle->addWidget(buttons_ext["vehicle_is_ready"], 2, 1); + // state mission + QGridLayout* extra_layout_mission = new QGridLayout; + extra_layout_mission->addWidget(new QLabel("state Mission"), 0, 0); + extra_layout_mission->addWidget(buttons_ext["received_mission_order"],1, 0); + extra_layout_mission->addWidget(buttons_ext["mission_is_compatible"], 1, 1); + extra_layout_mission->addWidget(buttons_ext["mission_aborted"], 1, 2); + extra_layout_mission->addWidget(buttons_ext["arrived_goal"], 2, 0); + extra_layout_mission->addWidget(buttons_ext["request_mission_change"], 2, 1); + extra_layout_mission->addWidget(buttons_ext["mission_is_conflicting"], 2, 2); + extra_layout_mission->addWidget(buttons_ext["return_to_driving"], 3, 0); + extra_layout_mission->addWidget(buttons_ext["goto_wait_order"], 3, 1); + // state behavior & motion + QGridLayout* extra_layout_drive = new QGridLayout; + extra_layout_drive->addWidget(new QLabel("state Behavior & Motion"), 0, 0); + extra_layout_drive->addWidget(buttons_ext["operation_start"], 1, 0); + extra_layout_drive->addWidget(buttons_ext["operation_end"], 1, 1); + extra_layout_drive->addWidget(buttons_ext["on_lane_area"], 2, 0); + extra_layout_drive->addWidget(buttons_ext["on_free_area"], 2, 1); + extra_layout_drive->addWidget(buttons_ext["on_cruise"], 3, 0); + extra_layout_drive->addWidget(buttons_ext["on_bus_stop"], 3, 1); + extra_layout_drive->addWidget(buttons_ext["on_parking"], 3, 2); + extra_layout_drive->addWidget(buttons_ext["on_straight"], 4, 0); + extra_layout_drive->addWidget(buttons_ext["on_right_turn"],4, 1); + extra_layout_drive->addWidget(buttons_ext["on_left_turn"], 4, 2); + extra_layout_drive->addWidget(buttons_ext["on_back"], 4, 3); + extra_layout_drive->addWidget(buttons_ext["lane_change_right"], 5, 0); + extra_layout_drive->addWidget(buttons_ext["lane_change_left"], 5, 1); + extra_layout_drive->addWidget(buttons_ext["on_pull_over"], 6, 0); + extra_layout_drive->addWidget(buttons_ext["on_pull_out"], 6, 1); + // set layout to window + window_vehicle = new QWidget; + window_vehicle->setLayout(extra_layout_vehicle); + window_vehicle->hide(); + window_mission = new QWidget; + window_mission->setLayout(extra_layout_mission); + window_mission->hide(); + window_drive = new QWidget; + window_drive->setLayout(extra_layout_drive); + window_drive->hide(); + + + QPushButton* button_more = new QPushButton("&More..."); + button_more->setSizePolicy(QSizePolicy(QSizePolicy::Fixed, QSizePolicy::Fixed)); + button_more->setFont(*q_font); + button_more->setCheckable(true); + connect(button_more, &QAbstractButton::toggled, window_vehicle, &QWidget::setVisible); + connect(button_more, &QAbstractButton::toggled, window_mission, &QWidget::setVisible); + connect(button_more, &QAbstractButton::toggled, window_drive, &QWidget::setVisible); + + QHBoxLayout* button_toggle_layout = new QHBoxLayout; + button_toggle_layout->addWidget(button_more); + button_toggle_layout->addWidget(new QLabel("(Normally unused commands)")); + + QVBoxLayout* layout = new QVBoxLayout; + layout->addLayout(label_layout); + layout->addLayout(button_layout_main); + layout->addLayout(button_layout_execute); + layout->addLayout(button_layout_mission); + layout->addLayout(button_layout_emergency); + layout->addLayout(button_toggle_layout); + layout->addWidget(window_vehicle); + layout->addWidget(window_mission); + layout->addWidget(window_drive); + setLayout(layout); +} + +void DecisionMakerPanel::sendTopic(const QString &text) +{ + if (text == "emergency") + { + sendEmergency(); + } + else if (statecmd_publisher_) + { + std_msgs::String msg; + msg.data = text.toStdString(); + statecmd_publisher_.publish(msg); + } +} + +void DecisionMakerPanel::sendEmergency() +{ + if (emergency_publisher_) + { + autoware_msgs::RemoteCmd remote_emergency; + remote_emergency.header.stamp = ros::Time::now(); + remote_emergency.vehicle_cmd.emergency = 1; + emergency_publisher_.publish(remote_emergency); + } +} + +void DecisionMakerPanel::save(rviz::Config config) const +{ + rviz::Panel::save(config); +} + +void DecisionMakerPanel::load(const rviz::Config& config) +{ + rviz::Panel::load(config); +} + +} // end namespace autoware_rviz_debug + +#include +PLUGINLIB_EXPORT_CLASS(autoware_rviz_debug::DecisionMakerPanel, rviz::Panel) +// END_TUTORIAL diff --git a/src/visualization/decision_maker_panel/src/decision_maker_panel.h b/src/visualization/decision_maker_panel/src/decision_maker_panel.h new file mode 100755 index 0000000..a6aacdd --- /dev/null +++ b/src/visualization/decision_maker_panel/src/decision_maker_panel.h @@ -0,0 +1,65 @@ +/* + * Copyright (c) 2011, Willow Garage, Inc. + * 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 Willow Garage, Inc. 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 OWNER 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. + */ +#ifndef TELEOP_PANEL_H +#define TELEOP_PANEL_H + +#ifndef Q_MOC_RUN +#include + +#include +#endif + +class QLineEdit; + +namespace autoware_rviz_debug +{ +class DecisionMakerPanel : public rviz::Panel +{ + Q_OBJECT +public: + DecisionMakerPanel(QWidget* parent = 0); + QWidget *window_vehicle, *window_mission, *window_drive; + + virtual void load(const rviz::Config& config); + virtual void save(rviz::Config config) const; + +public Q_SLOTS: + void sendTopic(const QString &text); + void sendEmergency(); + + // Then we finish up with protected member variables. +protected: + ros::Publisher statecmd_publisher_; + ros::Publisher emergency_publisher_; + ros::NodeHandle nh_; +}; + +} // end namespace autoware_rviz_debug + +#endif // TELEOP_PANEL_H diff --git a/src/visualization/detected_objects_visualizer/CHANGELOG.rst b/src/visualization/detected_objects_visualizer/CHANGELOG.rst new file mode 100755 index 0000000..750bb2d --- /dev/null +++ b/src/visualization/detected_objects_visualizer/CHANGELOG.rst @@ -0,0 +1,53 @@ +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +Changelog for package detected_objects_visualizer +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +1.11.0 (2019-03-21) +------------------- +* [fix] Install commands for all the packages (`#1861 `_) + * Initial fixes to detection, sensing, semantics and utils + * fixing wrong filename on install command + * Fixes to install commands + * Hokuyo fix name + * Fix obj db + * Obj db include fixes + * End of final cleaning sweep + * Incorrect command order in runtime manager + * Param tempfile not required by runtime_manager + * * Fixes to runtime manager install commands + * Remove devel directory from catkin, if any + * Updated launch files for robosense + * Updated robosense + * Fix/add missing install (`#1977 `_) + * Added launch install to lidar_kf_contour_track + * Added install to op_global_planner + * Added install to way_planner + * Added install to op_local_planner + * Added install to op_simulation_package + * Added install to op_utilities + * Added install to sync + * * Improved installation script for pointgrey packages + * Fixed nodelet error for gmsl cameras + * USe install space in catkin as well + * add install to catkin + * Fix install directives (`#1990 `_) + * Fixed installation path + * Fixed params installation path + * Fixed cfg installation path + * Delete cache on colcon_release +* * Fixed launch file link on rtm + * display boxes when pose is reliable +* Contributors: Abraham Monrroy Cano, amc-nu + +1.10.0 (2019-01-17) +------------------- +* Switch to Apache 2 license (develop branch) (`#1741 `_) + * Switch to Apache 2 + * Replace BSD-3 license header with Apache 2 and reassign copyright to the + Autoware Foundation. + * Update license on Python files + * Update copyright years + * Add #ifndef/define _POINTS_IMAGE_H\_ + * Updated license comment +* change package name to detected_objects_visualizer +* Contributors: Esteve Fernandez, Yukihiro SAITO diff --git a/src/visualization/detected_objects_visualizer/CMakeLists.txt b/src/visualization/detected_objects_visualizer/CMakeLists.txt new file mode 100755 index 0000000..275b161 --- /dev/null +++ b/src/visualization/detected_objects_visualizer/CMakeLists.txt @@ -0,0 +1,88 @@ +cmake_minimum_required(VERSION 2.8.3) +project(detected_objects_visualizer) + +# find_package(autoware_build_flags REQUIRED) +find_package(catkin REQUIRED COMPONENTS + autoware_msgs + cv_bridge + geometry_msgs + image_transport + roscpp + sensor_msgs + tf + visualization_msgs +) + +catkin_package() + +find_package(OpenCV 3 REQUIRED) + +find_package(Eigen3 QUIET) + +if(NOT EIGEN3_FOUND) + find_package(cmake_modules REQUIRED) + find_package(Eigen REQUIRED) + set(EIGEN3_INCLUDE_DIRS ${EIGEN_INCLUDE_DIRS}) + set(EIGEN3_LIBRARIES ${EIGEN_LIBRARIES}) +else() + set(EIGEN3_INCLUDE_DIRS ${EIGEN3_INCLUDE_DIR}) +endif() + +#Rviz Marker visualization +add_executable(visualize_detected_objects + include/visualize_detected_objects.h + src/visualize_detected_objects_main.cpp + src/visualize_detected_objects.cpp +) + +target_include_directories(visualize_detected_objects PRIVATE + include + ${OpenCV_INCLUDE_DIR} + ${catkin_INCLUDE_DIRS} + ${Boost_INCLUDE_DIRS} + ${EIGEN3_INCLUDE_DIRS} +) + +target_link_libraries(visualize_detected_objects + ${OpenCV_LIBRARIES} + ${EIGEN3_LIBRARIES} + ${catkin_LIBRARIES} +) + +add_dependencies(visualize_detected_objects + ${catkin_EXPORTED_TARGETS} +) + +#Image Rect Visualization +add_executable(visualize_rects + include/visualize_rects.h + src/visualize_rects_main.cpp + src/visualize_rects.cpp +) + +target_include_directories(visualize_rects PRIVATE + include + ${OpenCV_INCLUDE_DIR} + ${catkin_INCLUDE_DIRS} +) + +target_link_libraries(visualize_rects + ${OpenCV_LIBRARIES} + ${catkin_LIBRARIES} +) + +add_dependencies(visualize_rects + ${catkin_EXPORTED_TARGETS} +) + +install( + TARGETS + visualize_detected_objects + visualize_rects + ARCHIVE DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION} + LIBRARY DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION} + RUNTIME DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION} +) +install(DIRECTORY models/ + DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION}/models +) diff --git a/src/visualization/detected_objects_visualizer/README.md b/src/visualization/detected_objects_visualizer/README.md new file mode 100755 index 0000000..2acb4df --- /dev/null +++ b/src/visualization/detected_objects_visualizer/README.md @@ -0,0 +1,55 @@ +# Detected Object Visualizer + +This node interprets the output of each of the perception nodes and creates the corresponding rviz visualization. + +## Parameters + +Launch file available parameters: + +|Parameter| Type| Description| +----------|-----|-------- +|`marker_display_duration`|*Double*|Time in ms to display the marker. Default `0.1`.| +|`object_speed_threshold`|*Double* |Speed threshold to display. Default `0.1`.| +|`arrow_speed_threshold`|*Double*|Arrow speed threshold to display. Default `0.25`.| +|`label_color`|*Array*|Four double values (RGBA), representing the color of the object. Default `[255,255,255,1]`.| +|`arrow_color`|*Array*|Four double values (RGBA), representing the color of the object. Default `[0,255,0,1,0.8]`.| +|`hull_color`|*Array*|Four double values (RGBA), representing the color of the object. Default `[51,204,51,0.8]`.| +|`box_color`|*Array*|Four double values (RGBA), representing the color of the object. Default `[51,128,204,0.8]`.| +|`centroid_color`|*Array*|Four double values (RGBA), representing the color of the object. Default `[77,121,255,0.8]`.| + + +### Subscribed topics + +|Topic|Type|Objective| +------|----|--------- +|`ROS_NAMESPACE/objects`|`autoware_msgs/DetectedObjectArray`|Objects Array topic to visualize| + +### Published topics + +|Topic|Type|Objective| +------|----|---------| +|`ROS_NAMESPACE/objects_markers`|visualization_msgs::MarkerArray|A Label indicating the class and info of the object| + +The message includes each of the following namespaces: + +|Namespace|Objective| +|------|---------| +|`ROS_NAMESPACE/objects_arrows`|An arrow indicating the direction (`Marker::ARROW`)| +|`ROS_NAMESPACE/objects_hulls`|Convex Hull, the containing polygon (`Marker::LINE_STRIP`)| +|`ROS_NAMESPACE/objects_boxes`|Bounding box containing the object (`Marker::CUBE`)| +|`ROS_NAMESPACE/objects_centroids`|Sphere representing the centroid of the object in space (`Marker::SPHERE`)| +|`ROS_NAMESPACE/objects_mdoels`|Model representing the object in space (`Marker::MESH_RESOURCE`)| + +## Notes +This node is already included in the perception nodes' launch file. + +If you need to use it manually, be sure to add the `ROS_NAMESPACE` if using `rosrun`. + +For launch files, add the following line to your launch file: +```xml + +``` + +i.e. to visualize the output of the `lidar tracker` use `ROS_NAMESPACE=/detection/lidar_tracker` in rosrun or +`ns="/detection/lidar_tracker"` in the launch file. \ No newline at end of file diff --git a/src/visualization/detected_objects_visualizer/include/visualize_detected_objects.h b/src/visualization/detected_objects_visualizer/include/visualize_detected_objects.h new file mode 100755 index 0000000..43f0f3a --- /dev/null +++ b/src/visualization/detected_objects_visualizer/include/visualize_detected_objects.h @@ -0,0 +1,91 @@ +/* + * Copyright 2018-2019 Autoware Foundation. All rights reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * + ******************** + * v1.0: amc-nu (abrahammonrroy@yahoo.com) + */ + +#ifndef _VISUALIZEDETECTEDOBJECTS_H +#define _VISUALIZEDETECTEDOBJECTS_H + +#include +#include +#include +#include +#include + +#include +#include + +#include + +#include +#include + +#include "autoware_msgs/DetectedObject.h" +#include "autoware_msgs/DetectedObjectArray.h" + +#define __APP_NAME__ "visualize_detected_objects" + +class VisualizeDetectedObjects +{ +private: + const double arrow_height_; + const double label_height_; + const double object_max_linear_size_ = 50.; + double object_speed_threshold_; + double arrow_speed_threshold_; + double marker_display_duration_; + + int marker_id_; + + std_msgs::ColorRGBA label_color_, box_color_, hull_color_, arrow_color_, centroid_color_, model_color_; + + std::string input_topic_, ros_namespace_; + + ros::NodeHandle node_handle_; + ros::Subscriber subscriber_detected_objects_; + + ros::Publisher publisher_markers_; + + visualization_msgs::MarkerArray ObjectsToLabels(const autoware_msgs::DetectedObjectArray &in_objects); + + visualization_msgs::MarkerArray ObjectsToArrows(const autoware_msgs::DetectedObjectArray &in_objects); + + visualization_msgs::MarkerArray ObjectsToBoxes(const autoware_msgs::DetectedObjectArray &in_objects); + + visualization_msgs::MarkerArray ObjectsToModels(const autoware_msgs::DetectedObjectArray &in_objects); + + visualization_msgs::MarkerArray ObjectsToHulls(const autoware_msgs::DetectedObjectArray &in_objects); + + visualization_msgs::MarkerArray ObjectsToCentroids(const autoware_msgs::DetectedObjectArray &in_objects); + + std::string ColorToString(const std_msgs::ColorRGBA &in_color); + + void DetectedObjectsCallback(const autoware_msgs::DetectedObjectArray &in_objects); + + bool IsObjectValid(const autoware_msgs::DetectedObject &in_object); + + float CheckColor(double value); + + float CheckAlpha(double value); + + std_msgs::ColorRGBA ParseColor(const std::vector &in_color); + +public: + VisualizeDetectedObjects(); +}; + +#endif // _VISUALIZEDETECTEDOBJECTS_H diff --git a/src/visualization/detected_objects_visualizer/include/visualize_rects.h b/src/visualization/detected_objects_visualizer/include/visualize_rects.h new file mode 100755 index 0000000..a912248 --- /dev/null +++ b/src/visualization/detected_objects_visualizer/include/visualize_rects.h @@ -0,0 +1,85 @@ +/* + * Copyright 2018-2019 Autoware Foundation. All rights reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * + ******************** + * v1.0: amc-nu (abrahammonrroy@yahoo.com) + */ + +#ifndef _VISUALIZERECTS_H +#define _VISUALIZERECTS_H + +#include +#include +#include +#include +#include + +#include + +#include +#include +#include +#include +#include + +#include +#include +#include + +#include "autoware_msgs/DetectedObject.h" +#include "autoware_msgs/DetectedObjectArray.h" + +#define __APP_NAME__ "visualize_rects" +// #define CV_AA cv::LINE_AA +// #define CV_FILLED cv::FILLED + +class VisualizeRects +{ +private: + std::string input_topic_; + + ros::NodeHandle node_handle_; + ros::Subscriber subscriber_detected_objects_; + image_transport::Subscriber subscriber_image_; + + message_filters::Subscriber *detection_filter_subscriber_; + message_filters::Subscriber *image_filter_subscriber_; + + ros::Publisher publisher_image_; + + cv::Mat image_; + std_msgs::Header image_header_; + + typedef + message_filters::sync_policies::ApproximateTime SyncPolicyT; + + message_filters::Synchronizer + *detections_synchronizer_; + + void + SyncedDetectionsCallback( + const sensor_msgs::Image::ConstPtr &in_image_msg, + const autoware_msgs::DetectedObjectArray::ConstPtr &in_range_detections); + + bool IsObjectValid(const autoware_msgs::DetectedObject &in_object); + + cv::Mat ObjectsToRects(cv::Mat in_image, const autoware_msgs::DetectedObjectArray::ConstPtr &in_objects); + +public: + VisualizeRects(); +}; + +#endif // _VISUALIZERECTS_H diff --git a/src/visualization/detected_objects_visualizer/models/bike.dae b/src/visualization/detected_objects_visualizer/models/bike.dae new file mode 100755 index 0000000..f2e4bac --- /dev/null +++ b/src/visualization/detected_objects_visualizer/models/bike.dae @@ -0,0 +1,56 @@ + + + + + VCGLab + VCGLib | MeshLab + + 金 12月 7 02:43:37 2018 GMT + 金 12月 7 02:43:37 2018 GMT + Y_UP + + + + + + -0.237627 0.0711625 0.276906 -0.243158 0.0711625 0.331292 -0.259523 0.0711625 0.383452 -0.286053 0.0711625 0.43125 -0.321662 0.0711625 0.472729 -0.364891 0.0711625 0.506191 -0.413972 0.0711625 0.530266 -0.466894 0.0711625 0.543969 -0.521491 0.0711625 0.546738 -0.575527 0.0711625 0.538459 -0.626791 0.0711625 0.519473 -0.673184 0.0711625 0.490556 -0.712807 0.0711625 0.452893 -0.744036 0.0711625 0.408024 -0.765594 0.0711625 0.357787 -0.776599 0.0711625 0.304239 -0.776599 0.0711625 0.249572 -0.765594 0.0711625 0.196024 -0.744036 0.0711625 0.145787 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diff --git a/src/visualization/detected_objects_visualizer/models/box.dae b/src/visualization/detected_objects_visualizer/models/box.dae new file mode 100755 index 0000000..dba68b2 --- /dev/null +++ b/src/visualization/detected_objects_visualizer/models/box.dae @@ -0,0 +1,56 @@ + + + + + VCGLab + VCGLib | MeshLab + + 金 12月 7 05:21:00 2018 GMT + 金 12月 7 05:21:00 2018 GMT + Y_UP + + + + + + -0.5 -0.5 -0.5 0.5 -0.5 -0.5 -0.5 0.5 -0.5 0.5 0.5 -0.5 -0.5 -0.5 0.5 0.5 -0.5 0.5 -0.5 0.5 0.5 0.5 0.5 0.5 + + + + + + + + + + 0 0 -1 0 0 -1 -1 0 0 -1 0 0 0 -1 0 0 -1 0 0 0 1 0 0 1 0 1 0 0 1 0 1 0 0 1 0 0 + + + + + + + + + + + + + + +

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diff --git a/src/visualization/detected_objects_visualizer/models/bus.dae b/src/visualization/detected_objects_visualizer/models/bus.dae new file mode 100755 index 0000000..b77196e --- /dev/null +++ b/src/visualization/detected_objects_visualizer/models/bus.dae @@ -0,0 +1,56 @@ + + + + + VCGLab + VCGLib | MeshLab + + 火 12月 11 03:26:58 2018 GMT + 火 12月 11 03:26:58 2018 GMT + Y_UP + + + + + + 3.35416 0.918833 0.301522 3.32294 0.79302 2.07942 -3.24854 0.79302 2.07942 -3.34738 0.918833 0.273772 3.29927 0.908213 1.18175 -3.34738 0.908213 1.18175 3.23451 0.828772 1.80082 -3.31097 0.828772 1.80082 3.28324 0.897577 1.26467 -3.34251 0.897577 1.26467 2.32255 0.79302 2.07942 2.36311 0.918833 0.211342 2.32388 0.908213 1.18175 2.32245 0.897577 1.26467 2.31317 0.828772 1.80082 1.6473 0.897577 1.26467 1.64798 0.908213 1.18175 1.45622 0.918833 0.211342 1.92473 0.79302 2.07942 1.64289 0.828772 1.80082 0.950197 0.897577 1.26467 0.9501 0.908213 1.18175 0.9501 0.918833 0.211342 0.973035 0.79302 2.07942 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diff --git a/src/visualization/detected_objects_visualizer/models/car.dae b/src/visualization/detected_objects_visualizer/models/car.dae new file mode 100755 index 0000000..7f8418f --- /dev/null +++ b/src/visualization/detected_objects_visualizer/models/car.dae @@ -0,0 +1,56 @@ + + + + + VCGLab + VCGLib | MeshLab + + 木 12月 6 04:11:14 2018 GMT + 木 12月 6 04:11:14 2018 GMT + Y_UP + + + + + + -1.73173 0.7455 1.02078 -1.26952 0.80514 0.988828 -1.26633 0.73485 1.07403 -1.88722 0.64326 1.11876 -0.0767244 -5.77257e-08 1.47406 0.346882 0.27 1.36914 0.359926 -9.15409e-08 1.37436 -0.758324 0.51546 1.45743 -0.0767244 0.485052 1.46264 -0.758324 2.4954e-09 1.45956 1.89779 0.77319 0.238642 1.79981 0.82005 0.204988 2.0799 0.5112 0.217768 2.01656 0.648986 0.247375 -2.02424 0.56445 0.710947 -1.91917 0.56232 0.980308 -1.95112 1.27442e-07 0.986698 -2.05147 1.48652e-07 0.702186 -1.93189 0.77615 0.727388 -1.32545 0.852 0.681118 -1.26952 0.80514 0.988828 -1.73173 0.7455 1.02078 -2.12791 0.47712 0.330658 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diff --git a/src/visualization/detected_objects_visualizer/package.xml b/src/visualization/detected_objects_visualizer/package.xml new file mode 100755 index 0000000..d6fa6f3 --- /dev/null +++ b/src/visualization/detected_objects_visualizer/package.xml @@ -0,0 +1,22 @@ + + + detected_objects_visualizer + 1.12.0 + Visualization package for DetectedObjectArray + amc + Apache + + autoware_build_flags + catkin + + autoware_msgs + cv_bridge + geometry_msgs + image_transport + pcl_ros + roscpp + sensor_msgs + std_msgs + tf + visualization_msgs + diff --git a/src/visualization/detected_objects_visualizer/src/visualize_detected_objects.cpp b/src/visualization/detected_objects_visualizer/src/visualize_detected_objects.cpp new file mode 100755 index 0000000..8441235 --- /dev/null +++ b/src/visualization/detected_objects_visualizer/src/visualize_detected_objects.cpp @@ -0,0 +1,513 @@ +/* + * Copyright 2018-2019 Autoware Foundation. All rights reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * + ******************** + * v1.0: amc-nu (abrahammonrroy@yahoo.com) + */ + +#include "visualize_detected_objects.h" + +VisualizeDetectedObjects::VisualizeDetectedObjects() : arrow_height_(0.5), label_height_(1.0) +{ + ros::NodeHandle private_nh_("~"); + + ros_namespace_ = ros::this_node::getNamespace(); + if (ros_namespace_.substr(0, 2) == "//") + { + ros_namespace_.erase(ros_namespace_.begin()); + } + + std::string markers_out_topic = ros_namespace_ + "/objects_markers"; + + std::string object_src_topic; + private_nh_.param("objects_src_topic", object_src_topic, "/objects"); + object_src_topic = ros_namespace_ + object_src_topic; + + ROS_INFO("[%s] objects_src_topic: %s", __APP_NAME__, object_src_topic.c_str()); + + private_nh_.param("object_speed_threshold", object_speed_threshold_, 0.1); + ROS_INFO("[%s] object_speed_threshold: %.2f", __APP_NAME__, object_speed_threshold_); + + private_nh_.param("arrow_speed_threshold", arrow_speed_threshold_, 0.25); + ROS_INFO("[%s] arrow_speed_threshold: %.2f", __APP_NAME__, arrow_speed_threshold_); + + private_nh_.param("marker_display_duration", marker_display_duration_, 0.2); + ROS_INFO("[%s] marker_display_duration: %.2f", __APP_NAME__, marker_display_duration_); + + std::vector color; + private_nh_.param>("label_color", color, {0.,255.,0.,1.0}); + label_color_ = ParseColor(color); + ROS_INFO("[%s] label_color: %s", __APP_NAME__, ColorToString(label_color_).c_str()); + + private_nh_.param>("arrow_color", color, {0.,255.,0.,0.8}); + arrow_color_ = ParseColor(color); + ROS_INFO("[%s] arrow_color: %s", __APP_NAME__, ColorToString(arrow_color_).c_str()); + + private_nh_.param>("hull_color", color, {51.,204.,51.,0.8}); + hull_color_ = ParseColor(color); + ROS_INFO("[%s] hull_color: %s", __APP_NAME__, ColorToString(hull_color_).c_str()); + + private_nh_.param>("box_color", color, {0.,0.,255.,1.0}); + box_color_ = ParseColor(color); + ROS_INFO("[%s] box_color: %s", __APP_NAME__, ColorToString(box_color_).c_str()); + + private_nh_.param>("model_color", color, {0.,255.,0.,0.5}); + model_color_ = ParseColor(color); + ROS_INFO("[%s] model_color: %s", __APP_NAME__, ColorToString(model_color_).c_str()); + + private_nh_.param>("centroid_color", color, {77.,121.,255.,0.8}); + centroid_color_ = ParseColor(color); + ROS_INFO("[%s] centroid_color: %s", __APP_NAME__, ColorToString(centroid_color_).c_str()); + + subscriber_detected_objects_ = + node_handle_.subscribe(object_src_topic, 1, + &VisualizeDetectedObjects::DetectedObjectsCallback, this); + ROS_INFO("[%s] object_src_topic: %s", __APP_NAME__, object_src_topic.c_str()); + + publisher_markers_ = node_handle_.advertise( + markers_out_topic, 1); + ROS_INFO("[%s] markers_out_topic: %s", __APP_NAME__, markers_out_topic.c_str()); + +} + +std::string VisualizeDetectedObjects::ColorToString(const std_msgs::ColorRGBA &in_color) +{ + std::stringstream stream; + + stream << "{R:" << std::fixed << std::setprecision(1) << in_color.r*255 << ", "; + stream << "G:" << std::fixed << std::setprecision(1) << in_color.g*255 << ", "; + stream << "B:" << std::fixed << std::setprecision(1) << in_color.b*255 << ", "; + stream << "A:" << std::fixed << std::setprecision(1) << in_color.a << "}"; + return stream.str(); +} + +float VisualizeDetectedObjects::CheckColor(double value) +{ + float final_value; + if (value > 255.) + final_value = 1.f; + else if (value < 0) + final_value = 0.f; + else + final_value = value/255.f; + return final_value; +} + +float VisualizeDetectedObjects::CheckAlpha(double value) +{ + float final_value; + if (value > 1.) + final_value = 1.f; + else if (value < 0.1) + final_value = 0.1f; + else + final_value = value; + return final_value; +} + +std_msgs::ColorRGBA VisualizeDetectedObjects::ParseColor(const std::vector &in_color) +{ + std_msgs::ColorRGBA color; + float r,g,b,a; + if (in_color.size() == 4) //r,g,b,a + { + color.r = CheckColor(in_color[0]); + color.g = CheckColor(in_color[1]); + color.b = CheckColor(in_color[2]); + color.a = CheckAlpha(in_color[3]); + } + return color; +} + +void VisualizeDetectedObjects::DetectedObjectsCallback(const autoware_msgs::DetectedObjectArray &in_objects) +{ + visualization_msgs::MarkerArray label_markers, arrow_markers, centroid_markers, polygon_hulls, bounding_boxes, + object_models; + + visualization_msgs::MarkerArray visualization_markers; + + marker_id_ = 0; + + label_markers = ObjectsToLabels(in_objects); + arrow_markers = ObjectsToArrows(in_objects); + polygon_hulls = ObjectsToHulls(in_objects); + bounding_boxes = ObjectsToBoxes(in_objects); + object_models = ObjectsToModels(in_objects); + centroid_markers = ObjectsToCentroids(in_objects); + + visualization_markers.markers.insert(visualization_markers.markers.end(), + label_markers.markers.begin(), label_markers.markers.end()); + visualization_markers.markers.insert(visualization_markers.markers.end(), + arrow_markers.markers.begin(), arrow_markers.markers.end()); + visualization_markers.markers.insert(visualization_markers.markers.end(), + polygon_hulls.markers.begin(), polygon_hulls.markers.end()); + visualization_markers.markers.insert(visualization_markers.markers.end(), + bounding_boxes.markers.begin(), bounding_boxes.markers.end()); + visualization_markers.markers.insert(visualization_markers.markers.end(), + object_models.markers.begin(), object_models.markers.end()); + visualization_markers.markers.insert(visualization_markers.markers.end(), + centroid_markers.markers.begin(), centroid_markers.markers.end()); + + publisher_markers_.publish(visualization_markers); +} + +visualization_msgs::MarkerArray +VisualizeDetectedObjects::ObjectsToCentroids(const autoware_msgs::DetectedObjectArray &in_objects) +{ + visualization_msgs::MarkerArray centroid_markers; + for (auto const &object: in_objects.objects) + { + if (IsObjectValid(object)) + { + visualization_msgs::Marker centroid_marker; + centroid_marker.lifetime = ros::Duration(marker_display_duration_); + + centroid_marker.header = in_objects.header; + centroid_marker.type = visualization_msgs::Marker::SPHERE; + centroid_marker.action = visualization_msgs::Marker::ADD; + centroid_marker.pose = object.pose; + centroid_marker.ns = ros_namespace_ + "/centroid_markers"; + + centroid_marker.scale.x = 0.5; + centroid_marker.scale.y = 0.5; + centroid_marker.scale.z = 0.5; + + if (object.color.a == 0) + { + centroid_marker.color = centroid_color_; + } + else + { + centroid_marker.color = object.color; + } + centroid_marker.id = marker_id_++; + centroid_markers.markers.push_back(centroid_marker); + } + } + return centroid_markers; +}//ObjectsToCentroids + +visualization_msgs::MarkerArray +VisualizeDetectedObjects::ObjectsToBoxes(const autoware_msgs::DetectedObjectArray &in_objects) +{ + visualization_msgs::MarkerArray object_boxes; + + for (auto const &object: in_objects.objects) + { + if (IsObjectValid(object) && + (object.pose_reliable || object.label != "unknown") && + (object.dimensions.x + object.dimensions.y + object.dimensions.z) < object_max_linear_size_) + { + visualization_msgs::Marker box; + + box.lifetime = ros::Duration(marker_display_duration_); + box.header = in_objects.header; + box.type = visualization_msgs::Marker::CUBE; + box.action = visualization_msgs::Marker::ADD; + box.ns = ros_namespace_ + "/box_markers"; + box.id = marker_id_++; + box.scale = object.dimensions; + box.pose.position = object.pose.position; + + if (object.pose_reliable) + box.pose.orientation = object.pose.orientation; + + if (object.color.a == 0) + { + box.color = box_color_; + } + else + { + box.color = object.color; + } + + object_boxes.markers.push_back(box); + } + } + return object_boxes; +}//ObjectsToBoxes + +visualization_msgs::MarkerArray +VisualizeDetectedObjects::ObjectsToModels(const autoware_msgs::DetectedObjectArray &in_objects) +{ + visualization_msgs::MarkerArray object_models; + + for (auto const &object: in_objects.objects) + { + if (IsObjectValid(object) && + object.label != "unknown" && + (object.dimensions.x + object.dimensions.y + object.dimensions.z) < object_max_linear_size_) + { + visualization_msgs::Marker model; + + model.lifetime = ros::Duration(marker_display_duration_); + model.header = in_objects.header; + model.type = visualization_msgs::Marker::MESH_RESOURCE; + model.action = visualization_msgs::Marker::ADD; + model.ns = ros_namespace_ + "/model_markers"; + model.mesh_use_embedded_materials = false; + model.color = model_color_; + if(object.label == "car") + { + model.mesh_resource = "package://detected_objects_visualizer/models/car.dae"; + } + else if (object.label == "person") + { + model.mesh_resource = "package://detected_objects_visualizer/models/person.dae"; + } + else if (object.label == "bicycle" || object.label == "bike") + { + model.mesh_resource = "package://detected_objects_visualizer/models/bike.dae"; + } + else if (object.label == "bus") + { + model.mesh_resource = "package://detected_objects_visualizer/models/bus.dae"; + } + else if(object.label == "truck") + { + model.mesh_resource = "package://detected_objects_visualizer/models/truck.dae"; + } + else + { + model.mesh_resource = "package://detected_objects_visualizer/models/box.dae"; + } + model.scale.x = 1; + model.scale.y = 1; + model.scale.z = 1; + model.id = marker_id_++; + model.pose.position = object.pose.position; + model.pose.position.z-= object.dimensions.z/2; + + if (object.pose_reliable) + model.pose.orientation = object.pose.orientation; + + object_models.markers.push_back(model); + } + } + return object_models; +}//ObjectsToModels + +visualization_msgs::MarkerArray +VisualizeDetectedObjects::ObjectsToHulls(const autoware_msgs::DetectedObjectArray &in_objects) +{ + visualization_msgs::MarkerArray polygon_hulls; + + for (auto const &object: in_objects.objects) + { + if (IsObjectValid(object) && !object.convex_hull.polygon.points.empty() && object.label == "unknown") + { + visualization_msgs::Marker hull; + hull.lifetime = ros::Duration(marker_display_duration_); + hull.header = in_objects.header; + hull.type = visualization_msgs::Marker::LINE_STRIP; + hull.action = visualization_msgs::Marker::ADD; + hull.ns = ros_namespace_ + "/hull_markers"; + hull.id = marker_id_++; + hull.scale.x = 0.2; + + for(auto const &point: object.convex_hull.polygon.points) + { + geometry_msgs::Point tmp_point; + tmp_point.x = point.x; + tmp_point.y = point.y; + tmp_point.z = point.z; + hull.points.push_back(tmp_point); + } + + if (object.color.a == 0) + { + hull.color = hull_color_; + } + else + { + hull.color = object.color; + } + + polygon_hulls.markers.push_back(hull); + } + } + return polygon_hulls; +} + +visualization_msgs::MarkerArray +VisualizeDetectedObjects::ObjectsToArrows(const autoware_msgs::DetectedObjectArray &in_objects) +{ + visualization_msgs::MarkerArray arrow_markers; + for (auto const &object: in_objects.objects) + { + if (IsObjectValid(object) && object.pose_reliable) + { + double velocity = object.velocity.linear.x; + + if (abs(velocity) >= arrow_speed_threshold_) + { + visualization_msgs::Marker arrow_marker; + arrow_marker.lifetime = ros::Duration(marker_display_duration_); + + tf::Quaternion q(object.pose.orientation.x, + object.pose.orientation.y, + object.pose.orientation.z, + object.pose.orientation.w); + double roll, pitch, yaw; + + tf::Matrix3x3(q).getRPY(roll, pitch, yaw); + + // in the case motion model fit opposite direction + if (velocity < -0.1) + { + yaw += M_PI; + // normalize angle + while (yaw > M_PI) + yaw -= 2. * M_PI; + while (yaw < -M_PI) + yaw += 2. * M_PI; + } + + tf::Matrix3x3 obs_mat; + tf::Quaternion q_tf; + + obs_mat.setEulerYPR(yaw, 0, 0); // yaw, pitch, roll + obs_mat.getRotation(q_tf); + + arrow_marker.header = in_objects.header; + arrow_marker.ns = ros_namespace_ + "/arrow_markers"; + arrow_marker.action = visualization_msgs::Marker::ADD; + arrow_marker.type = visualization_msgs::Marker::ARROW; + + // green + if (object.color.a == 0) + { + arrow_marker.color = arrow_color_; + } + else + { + arrow_marker.color = object.color; + } + arrow_marker.id = marker_id_++; + + // Set the pose of the marker. This is a full 6DOF pose relative to the frame/time specified in the header + arrow_marker.pose.position.x = object.pose.position.x; + arrow_marker.pose.position.y = object.pose.position.y; + arrow_marker.pose.position.z = arrow_height_; + + arrow_marker.pose.orientation.x = q_tf.getX(); + arrow_marker.pose.orientation.y = q_tf.getY(); + arrow_marker.pose.orientation.z = q_tf.getZ(); + arrow_marker.pose.orientation.w = q_tf.getW(); + + // Set the scale of the arrow -- 1x1x1 here means 1m on a side + arrow_marker.scale.x = 3; + arrow_marker.scale.y = 0.1; + arrow_marker.scale.z = 0.1; + + arrow_markers.markers.push_back(arrow_marker); + }//velocity threshold + }//valid object + }//end for + return arrow_markers; +}//ObjectsToArrows + +visualization_msgs::MarkerArray +VisualizeDetectedObjects::ObjectsToLabels(const autoware_msgs::DetectedObjectArray &in_objects) +{ + visualization_msgs::MarkerArray label_markers; + for (auto const &object: in_objects.objects) + { + if (IsObjectValid(object)) + { + visualization_msgs::Marker label_marker; + + label_marker.lifetime = ros::Duration(marker_display_duration_); + label_marker.header = in_objects.header; + label_marker.ns = ros_namespace_ + "/label_markers"; + label_marker.action = visualization_msgs::Marker::ADD; + label_marker.type = visualization_msgs::Marker::TEXT_VIEW_FACING; + label_marker.scale.x = 1.5; + label_marker.scale.y = 1.5; + label_marker.scale.z = 1.5; + + label_marker.color = label_color_; + + label_marker.id = marker_id_++; + + if(!object.label.empty() && object.label != "unknown") + label_marker.text = object.label + " "; //Object Class if available + + std::stringstream distance_stream; + distance_stream << std::fixed << std::setprecision(1) + << sqrt((object.pose.position.x * object.pose.position.x) + + (object.pose.position.y * object.pose.position.y)); + std::string distance_str = distance_stream.str() + " m"; + label_marker.text += distance_str; + + if (object.velocity_reliable) + { + double velocity = object.velocity.linear.x; + if (velocity < -0.1) + { + velocity *= -1; + } + + if (abs(velocity) < object_speed_threshold_) + { + velocity = 0.0; + } + + tf::Quaternion q(object.pose.orientation.x, object.pose.orientation.y, + object.pose.orientation.z, object.pose.orientation.w); + + double roll, pitch, yaw; + tf::Matrix3x3(q).getRPY(roll, pitch, yaw); + + // convert m/s to km/h + std::stringstream kmh_velocity_stream; + kmh_velocity_stream << std::fixed << std::setprecision(1) << (velocity * 3.6); + std::string text = "\n<" + std::to_string(object.id) + "> " + kmh_velocity_stream.str() + " km/h"; + label_marker.text += text; + } + + label_marker.pose.position.x = object.pose.position.x; + label_marker.pose.position.y = object.pose.position.y+1.5; + label_marker.pose.position.z = label_height_+0.1; + label_marker.scale.z = 0.8; + if (!label_marker.text.empty()) + label_markers.markers.push_back(label_marker); + } + } // end in_objects.objects loop + + return label_markers; +}//ObjectsToLabels + +bool VisualizeDetectedObjects::IsObjectValid(const autoware_msgs::DetectedObject &in_object) +{ + if (!in_object.valid || + std::isnan(in_object.pose.orientation.x) || + std::isnan(in_object.pose.orientation.y) || + std::isnan(in_object.pose.orientation.z) || + std::isnan(in_object.pose.orientation.w) || + std::isnan(in_object.pose.position.x) || + std::isnan(in_object.pose.position.y) || + std::isnan(in_object.pose.position.z) || + (in_object.pose.position.x == 0.) || + (in_object.pose.position.y == 0.) || + (in_object.dimensions.x <= 0.) || + (in_object.dimensions.y <= 0.) || + (in_object.dimensions.z <= 0.) + ) + { + return false; + } + return true; +}//end IsObjectValid \ No newline at end of file diff --git a/src/visualization/detected_objects_visualizer/src/visualize_detected_objects_main.cpp b/src/visualization/detected_objects_visualizer/src/visualize_detected_objects_main.cpp new file mode 100755 index 0000000..55995e0 --- /dev/null +++ b/src/visualization/detected_objects_visualizer/src/visualize_detected_objects_main.cpp @@ -0,0 +1,29 @@ +/* + * Copyright 2018-2019 Autoware Foundation. All rights reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * + ******************** + * v1.0: amc-nu (abrahammonrroy@yahoo.com) + */ + +#include "visualize_detected_objects.h" + +int main(int argc, char** argv) +{ + ros::init(argc, argv, "visualize_detected_objects"); + VisualizeDetectedObjects app; + ros::spin(); + + return 0; +} diff --git a/src/visualization/detected_objects_visualizer/src/visualize_rects.cpp b/src/visualization/detected_objects_visualizer/src/visualize_rects.cpp new file mode 100755 index 0000000..57941ee --- /dev/null +++ b/src/visualization/detected_objects_visualizer/src/visualize_rects.cpp @@ -0,0 +1,169 @@ +/* + * Copyright 2018-2019 Autoware Foundation. All rights reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * + ******************** + * v1.0: amc-nu (abrahammonrroy@yahoo.com) + */ + +#include "visualize_rects.h" + +VisualizeRects::VisualizeRects() +{ + ros::NodeHandle private_nh_("~"); + + ros::NodeHandle nh; + + std::string image_src_topic; + std::string object_src_topic; + std::string image_out_topic; + + private_nh_.param("image_src", image_src_topic, "/image_raw"); + private_nh_.param("object_src", object_src_topic, "/detection/image_detector/objects"); + private_nh_.param("image_out", image_out_topic, "/image_rects"); + + //get namespace from topic + std::string ros_namespace = image_src_topic; + std::size_t found_pos = ros_namespace.rfind("/");//find last / from topic name to extract namespace + std::cout << ros_namespace << std::endl; + if (found_pos!=std::string::npos) + ros_namespace.erase(found_pos, ros_namespace.length()-found_pos); + std::cout << ros_namespace << std::endl; + image_out_topic = ros_namespace + image_out_topic; + + image_filter_subscriber_ = new message_filters::Subscriber(private_nh_, + image_src_topic, + 1); + ROS_INFO("[%s] image_src: %s", __APP_NAME__, image_src_topic.c_str()); + detection_filter_subscriber_ = new message_filters::Subscriber(private_nh_, + object_src_topic, + 1); + ROS_INFO("[%s] object_src: %s", __APP_NAME__, object_src_topic.c_str()); + + detections_synchronizer_ = + new message_filters::Synchronizer(SyncPolicyT(10), + *image_filter_subscriber_, + *detection_filter_subscriber_); + detections_synchronizer_->registerCallback( + boost::bind(&VisualizeRects::SyncedDetectionsCallback, this, _1, _2)); + + + publisher_image_ = node_handle_.advertise( + image_out_topic, 1); + ROS_INFO("[%s] image_out: %s", __APP_NAME__, image_out_topic.c_str()); + +} + +void +VisualizeRects::SyncedDetectionsCallback( + const sensor_msgs::Image::ConstPtr &in_image_msg, + const autoware_msgs::DetectedObjectArray::ConstPtr &in_objects) +{ + try + { + image_ = cv_bridge::toCvShare(in_image_msg, "bgr8")->image; + cv::Mat drawn_image; + drawn_image = ObjectsToRects(image_, in_objects); + sensor_msgs::ImagePtr drawn_msg = cv_bridge::CvImage(in_image_msg->header, "bgr8", drawn_image).toImageMsg(); + publisher_image_.publish(drawn_msg); + } + catch (cv_bridge::Exception& e) + { + ROS_ERROR("[%s] Could not convert from '%s' to 'bgr8'.", __APP_NAME__, in_image_msg->encoding.c_str()); + } +} + +cv::Mat +VisualizeRects::ObjectsToRects(cv::Mat in_image, const autoware_msgs::DetectedObjectArray::ConstPtr &in_objects) +{ + cv::Mat final_image = in_image.clone(); + for (auto const &object: in_objects->objects) + { + if (IsObjectValid(object)) + { + cv::Rect rect; + rect.x = object.x; + rect.y = object.y; + rect.width = object.width; + rect.height = object.height; + + if (rect.x+rect.width >= in_image.cols) + rect.width = in_image.cols -rect.x - 1; + + if (rect.y+rect.height >= in_image.rows) + rect.height = in_image.rows -rect.y - 1; + + //draw rectangle + cv::rectangle(final_image, + rect, + cv::Scalar(244,134,66), + 4, + CV_AA); + + //draw label + std::string label = ""; + if (!object.label.empty() && object.label != "unknown") + { + label = object.label; + } + int font_face = cv::FONT_HERSHEY_DUPLEX; + double font_scale = 1.5; + int thickness = 1; + + int baseline=0; + cv::Size text_size = cv::getTextSize(label, + font_face, + font_scale, + thickness, + &baseline); + baseline += thickness; + + cv::Point text_origin(object.x - text_size.height,object.y); + + cv::rectangle(final_image, + text_origin + cv::Point(0, baseline), + text_origin + cv::Point(text_size.width, -text_size.height), + cv::Scalar(0,0,0), + CV_FILLED, + CV_AA, + 0); + + cv::putText(final_image, + label, + text_origin, + font_face, + font_scale, + cv::Scalar::all(255), + thickness, + CV_AA, + false); + + } + } + return final_image; +}//ObjectsToBoxes + +bool VisualizeRects::IsObjectValid(const autoware_msgs::DetectedObject &in_object) +{ + if (!in_object.valid || + in_object.width < 0 || + in_object.height < 0 || + in_object.x < 0 || + in_object.y < 0 + ) + { + return false; + } + return true; +}//end IsObjectValid \ No newline at end of file diff --git a/src/visualization/detected_objects_visualizer/src/visualize_rects_main.cpp b/src/visualization/detected_objects_visualizer/src/visualize_rects_main.cpp new file mode 100755 index 0000000..0da1b4f --- /dev/null +++ b/src/visualization/detected_objects_visualizer/src/visualize_rects_main.cpp @@ -0,0 +1,29 @@ +/* + * Copyright 2018-2019 Autoware Foundation. All rights reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * + ******************** + * v1.0: amc-nu (abrahammonrroy@yahoo.com) + */ + +#include "visualize_rects.h" + +int main(int argc, char** argv) +{ + ros::init(argc, argv, "visualize_rects"); + VisualizeRects app; + ros::spin(); + + return 0; +}