[industrial_reconstruction]: Error processing images into tsdf

[alanroyce2010]

I keep getting this error upon calling the service. I am using a ZED2i camera.

This is the code I used

ros2 launch industrial_reconstruction reconstruction.launch.xml depth_image_topic:=/zed/zed_node/depth/depth_registered color_image_topic:=/zed/zed_node/rgb/image_rect_color camera_info_topic:=/zed/zed_node/rgb_raw/camera_info

ros2 service call /start_reconstruction industrial_reconstruction_msgs/srv/StartReconstruction "tracking_frame: 'zed_camera_link' relative_frame: 'map' translation_distance: 0.0 rotational_distance: 0.0 live: true tsdf_params: voxel_length: 0.02 sdf_trunc: 0.04 min_box_values: {x: 0.05, y: 0.25, z: 0.1} max_box_values: {x: 7.0, y: 3.0, z: 1.2} rgbd_params: {depth_scale: 1000.0, depth_trunc: 0.75, convert_rgb_to_intensity: false}"

[marrts]

I just updated the main branch to print out a more detailed error when this occurs. Try updating to that and let me know what error you see.

I suspect the problem has to do with your depth image. Ensure that both your color image and depth image are in the same frame and have all the same camera_info properties. I was able to reproduce this error by using a depth and color image with different properties.

Color Camera Image:

header:
  stamp:
    sec: 1705594923
    nanosec: 359981312
  frame_id: camera_color_optical_frame
height: 360
width: 640
encoding: rgb8
is_bigendian: 0
step: 1920

Depth image that worked:

header:
  stamp:
    sec: 1705594721
    nanosec: 695499520
  frame_id: camera_color_optical_frame
height: 360
width: 640
encoding: 16UC1
is_bigendian: 0
step: 1280

Depth image that didn't work:

header:
  stamp:
    sec: 1705594741
    nanosec: 268154624
  frame_id: camera_depth_optical_frame
height: 480
width: 848
encoding: 16UC1
is_bigendian: 0
step: 1696

Notice the size of the images that worked are the same, all other intrinsic properties are also the same.

[marrts]

@alanroyce2010 Did this resolve your issue?

[liamcarlos]

Hey I encountered the same issue and solved it by matching the frame_id like you were saying, but now I'm running into a new issue.. The industrial reconstruction node doesn't spit out any errors/complaints and says it generated and saved mesh in the provided path to directory, but there's nothing there when I go check after.. So out of curiosity, which topics did you choose for each parameter when using an Intel RealSense D400 series camera? I'm using a D415 so the topics in the example usage aren't compatible..

EDIT When I kill industrial reconstruction I get the same error: [Open3D WARNING] Write PLY failed: mesh has 0 vertices.

[marrts]

The first step I always try when I encounter an empty/no mesh getting generated is setting the tsdf volume min and max to all zeros. This will cause the resulting mesh to not be cropped at all. I also recommend setting live to true so you can see the mesh generating live in RVIZ by subscribing to the marker topic that is being published.

[liamcarlos]

Hey @marrts thank you so much I managed to generate a mesh with the pointers you suggested here! One thing I might add that might be frustrating to new users is that I couldn't generate the mesh without have the path to the ply file previously existing. That is what was preventing exporting the mesh created. So it might be a silly mistake, but I do think it is worth mentioning to create the results_mesh.ply file before attempting to create mesh.

i.e. touch /home/ros-industrial/industrial_reconstruction_archive/results_mesh.ply

before ros2 service call /start_reconstruction...

So to generate a mesh with this package and a RealSense camera I did the following:

1. Set align_depth.enable to true when launching /realsense2_camera/launch/rs_launch.py
2. Use RealSense topics created from align_depth so that color and depth images are aligned with each other (using same frame_id) ros2 launch industrial_reconstruction reconstruction.launch.xml depth_image_topic:=/camera/aligned_depth_to_color/image_raw color_image_topic:=/camera/color/image_raw camera_info_topic:=/camera/color/camera_info
3. Create aforementioned ply file and set tsdf min and max to all zeros before calling to start reconstruction service

Again thanks for the feedback, and sorry for the lengthy response. I just thought I would share more detail on the process for any other feedback and/or to lend assistance to any other new industrial reconstructors.

[bahman-nouri]

Hi @marrts, @liamcarlos

I'm working with a Universal Robot and an Intel Depth Camera D435. I've set up the hardware and software, but when I move the robot, I notice an unusual mesh appearing. Could you provide some guidance on troubleshooting steps to ensure I've correctly set up everything? strp 1. I have use this to get the joints position of universal robot and visualize it in RVIZ2 ros2 launch ur_robot_driver ur_control.launch.py ur_type:=ur10 robot_ip:=192.168.1.102 launch_rviz:=true

step2. An static transformation between the camera_link and the flange frame of UR10 ros2 run tf2_ros static_transform_publisher --x 0.01 --y 0.06 --z 0 --yaw 0 --pitch 0 --roll 0 --frame-id flange --child-frame-id camera_link

step3. running D435 depth camera ros2 launch realsense2_camera rs_launch.py depth_module.profile:=1280x720x30 pointcloud.enable:=true align_depth.enable:=true

step4. running industrial_reconstruction ros2 launch industrial_reconstruction reconstruction.launch.xml depth_image_topic:=/camera/aligned_depth_to_color/image_raw color_image_topic:=/camera/color/image_raw camera_info_topic:=/camera/color/camera_info

step 5. start reconstruction

ros2 service call /start_reconstruction industrial_reconstruction_msgs/srv/StartReconstruction "tracking_frame: 'camera_link'
relative_frame: 'base'
translation_distance: 0.0
rotational_distance: 0.0
live: true
tsdf_params:
  voxel_length: 0.02
  sdf_trunc: 0.04
  min_box_values: {x: 0.0, y: 0.0, z: 0.0}
  max_box_values: {x: 0.0, y: 0.0, z: 0.0}
rgbd_params: {depth_scale: 1000.0, depth_trunc: 0.75, convert_rgb_to_intensity: false}"

The mesh will be generate in the x direction of the camera_link frame. As the robot moves, a new mesh appears to be generated in accordance with its new orientation and position.

[liamcarlos]

Hey @bahman-nouri can you post photos of the mesh you're getting?

[marrts]

I agree that photos would be helpful.

One thing that comes to mind from your description of your setup is I think you might be passing the wrong frame for the tracking_frame. The realsense publishes their images in the camera_color_optical_frame, not camera_link. camera_link represents the base link of the camera and realsense will publishes transforms relative to camera_link.

To help debug this I'd:

• echo /camera/color/camera_info from the command line to confirm the frame the images are being published in
• Look at all the labeled TF frames in RVIZ to make sure they look like you expect. The z-axis of the frame of interest should be pointing out of the camera lens.
• In RVIZ make a camera display for the /camera/color/image_raw topic. This will overlay your virtual world with the live camera data. If you point the camera to look at the robot you should be able to see a virtual robot overlaid with the actual robot. This is a great way to sanity check your camera frame location. To get them to precisely line up you'll need to run a camera calibration, but getting them closely aligned with some guesses should be sufficient to get a reasonable mesh out of this pipeline

[liamcarlos]

@marrts Nice catch! @bahman-nouri yeah you would have to change your tracking frame parameter to the frame_id of those topics, which will most likely be camera_color_optical_frame since 'camera' is your prefix