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再現方法
rosbagの再生 https://drive.google.com/file/d/1mn5Xa6DNrsXqwjxzSlBCVux5sDsEJAvh/view?usp=sharingを,rosbag play ./tsubaki.bag -l で再生する
rosbag play ./tsubaki.bag -l
launchの立ち上げ
<launch> <group ns="recognize_wound"> <node name="image_decompresser" pkg="image_transport" type="republish" args="compressed raw" respawn="true"> <remap from="in" to="/kinect_head/rgb/image_rect_color"/> <remap from="out" to="decompressed_image"/> </node> <node name="depth_decompresser" pkg="image_transport" type="republish" args="compressedDepth raw" respawn="true"> <remap from="in" to="/kinect_head/depth_registered/image"/> <remap from="out" to="decompressed_depth"/> </node> <node pkg="jsk_topic_tools" type="synchronize_republish.py" name="synchronize_republish"> <param name="topics" value="[/recognize_wound/decompressed_image, /recognize_wound/decompressed_depth]" type="yaml"/> <param name="approximate_sync" value="true" /> </node> <arg name="manager" value="recognize_wound_manager" /> <node pkg="nodelet" type="nodelet" name="$(arg manager)" args="manager" output="screen"/> <node pkg="nodelet" type="nodelet" name="decompress_points" args="load depth_image_proc/point_cloud_xyzrgb $(arg manager)"> <remap from="rgb/camera_info" to="/kinect_head/depth_registered/camera_info"/> <remap from="rgb/image_rect_color" to="synchronize_republish/pub_00"/> <remap from="depth_registered/image_rect" to="synchronize_republish/pub_01"/> <rosparam> queue_size: 100 </rosparam> </node> <node name="transformable_interactive_server" pkg="jsk_interactive_marker" type="transformable_server_sample"> <rosparam subst_value="true"> display_interactive_manipulator: true display_interactive_manipulator_only_selected: true display_description_only_selected: true </rosparam> </node> <node name="transformable_table_markers" pkg="jsk_interactive_marker" type="transformable_markers_client.py"> <remap from="~server" to="transformable_interactive_server" /> <rosparam subst_value="true"> config_file: $(find pr2_surgery)/config/table_marker.yaml config_auto_save: true <!-- Use true to save config updated on rviz --> </rosparam> </node> <node name="bbox_array_to_bbox" pkg="nodelet" type="nodelet" args="load jsk_pcl_utils/BoundingBoxArrayToBoundingBox $(arg manager)"> <remap from="~input" to="transformable_table_markers/output/boxes" /> <rosparam> index: 0 </rosparam> </node> <node name="attention_clipper_table" pkg="nodelet" type="nodelet" args="load jsk_pcl/AttentionClipper $(arg manager)"> <remap from="~input" to="/kinect_head/depth_registered/camera_info" /> <remap from="~input/points" to="depth_registered/points" /> <remap from="~input/box" to="bbox_array_to_bbox/output" /> <rosparam subst_value="true"> use_multiple_attention: false </rosparam> </node> <node name="extract_indices_table" pkg="nodelet" type="nodelet" args="load jsk_pcl/ExtractIndices $(arg manager)"> <remap from="~input" to="depth_registered/points" /> <remap from="~indices" to="attention_clipper_table/output/point_indices" /> <rosparam> keep_organized: true approximate_sync: true max_queue_size: 100 </rosparam> </node> <node pkg="nodelet" type="nodelet" name="hsi_filter" args="load jsk_pcl/HSIColorFilter $(arg manager)" output="screen"> <remap from="~input" to="extract_indices_table/output" /> <rosparam> use_indices: false keep_organized: true h_limit_max: 11 h_limit_min: -8 s_limit_max: 255 s_limit_min: 104 i_limit_max: 255 i_limit_min: 0 </rosparam> </node> <node pkg="nodelet" type="nodelet" name="euclidean_clustering" args="load jsk_pcl/EuclideanClustering $(arg manager)" output="screen"> <remap from="~input" to="hsi_filter/output" /> <rosparam> tolerance: 0.02 min_size: 10 </rosparam> </node> <node pkg="nodelet" type="nodelet" name="cluster_decomposer" args="load jsk_pcl/ClusterPointIndicesDecomposer $(arg manager)" output="screen" clear_params="true"> <remap from="~input" to="hsi_filter/output" /> <remap from="~target" to="euclidean_clustering/output" /> <rosparam> align_boxes: true align_boxes_with_plane: false force_to_flip_z_axis: false use_pca: false target_frame_id: base_footprint </rosparam> </node> </group> </launch>
rostopic info /recognize_wound/euclidean_clustering/output
rostopic info /recognize_wound/euclidean_clustering/output の出力が
❯ rostopic echo /recognize_wound/euclidean_clustering/output header: seq: 23 stamp: secs: 1733916386 nsecs: 366280000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 24 stamp: secs: 1733916386 nsecs: 366280000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 25 stamp: secs: 1733916386 nsecs: 634271000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 26 stamp: secs: 1733916386 nsecs: 634271000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 0 stamp: secs: 1733916386 nsecs: 634271000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 1 stamp: secs: 1733916386 nsecs: 898343000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 27 stamp: secs: 1733916386 nsecs: 898343000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 2 stamp: secs: 1733916386 nsecs: 898343000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 3 stamp: secs: 1733916386 nsecs: 898343000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 28 stamp: secs: 1733916386 nsecs: 898343000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 4 stamp: secs: 1733916386 nsecs: 898343000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 5 stamp: secs: 1733916387 nsecs: 166288000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 6 stamp: secs: 1733916387 nsecs: 166288000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 7 stamp: secs: 1733916387 nsecs: 166288000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 29 stamp: secs: 1733916387 nsecs: 166288000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 30 stamp: secs: 1733916387 nsecs: 166288000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] --- header: seq: 8 stamp: secs: 1733916387 nsecs: 166288000 frame_id: "head_mount_kinect_rgb_optical_frame" cluster_indices: - header: seq: 0 stamp: secs: 0 nsecs: 0 frame_id: '' indices: [] ---
というtopicになっているのは正しいのか
The text was updated successfully, but these errors were encountered:
cc: @Michi-Tsubaki @pazeshun
Sorry, something went wrong.
mqcmd196
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再現方法
rosbagの再生
https://drive.google.com/file/d/1mn5Xa6DNrsXqwjxzSlBCVux5sDsEJAvh/view?usp=sharingを,
rosbag play ./tsubaki.bag -l
で再生するlaunchの立ち上げ
rostopic info /recognize_wound/euclidean_clustering/output
rostopic info /recognize_wound/euclidean_clustering/output
の出力がというtopicになっているのは正しいのか
The text was updated successfully, but these errors were encountered: