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Pipe Overflow Error

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  • Jeffrey MaoJ Offline
    Jeffrey MaoJ Offline
    Jeffrey Mao
    Contributor
    wrote on last edited by
    #1

    Currently, I am using the voxl_mpa_to_ros2 repository. Do you have any idea what causes the following error

    ERROR: invalid metadata, magic number=0, expected 1448040524
    most likely client fell behind and pipe overflowed

    This only happens when I try streaming the depth_image through the piep> There is no problem with lowbandwith data like imu_app/qvio odometry. Do you know what the root cause is for this or if there is a way to solve this in ROS2?

    Thanks,

    Jeff

    Alex KushleyevA Jeffrey MaoJ 2 Replies Last reply
    0
    • Jeffrey MaoJ Jeffrey Mao

      Currently, I am using the voxl_mpa_to_ros2 repository. Do you have any idea what causes the following error

      ERROR: invalid metadata, magic number=0, expected 1448040524
      most likely client fell behind and pipe overflowed

      This only happens when I try streaming the depth_image through the piep> There is no problem with lowbandwith data like imu_app/qvio odometry. Do you know what the root cause is for this or if there is a way to solve this in ROS2?

      Thanks,

      Jeff

      Alex KushleyevA Offline
      Alex KushleyevA Offline
      Alex Kushleyev
      ModalAI Team
      wrote on last edited by
      #2

      @Jeffrey-Mao , does this happen occasionally (how often) or very frequently (every frame?)

      1 Reply Last reply
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      • Jeffrey MaoJ Jeffrey Mao

        Currently, I am using the voxl_mpa_to_ros2 repository. Do you have any idea what causes the following error

        ERROR: invalid metadata, magic number=0, expected 1448040524
        most likely client fell behind and pipe overflowed

        This only happens when I try streaming the depth_image through the piep> There is no problem with lowbandwith data like imu_app/qvio odometry. Do you know what the root cause is for this or if there is a way to solve this in ROS2?

        Thanks,

        Jeff

        Jeffrey MaoJ Offline
        Jeffrey MaoJ Offline
        Jeffrey Mao
        Contributor
        wrote on last edited by
        #3

        This happens if we leave the pipe on while streaming depth_images from stereo_disparity for a minute or two. After which it happens very frequently.

        Alex KushleyevA 1 Reply Last reply
        0
        • Jeffrey MaoJ Jeffrey Mao

          This happens if we leave the pipe on while streaming depth_images from stereo_disparity for a minute or two. After which it happens very frequently.

          Alex KushleyevA Offline
          Alex KushleyevA Offline
          Alex Kushleyev
          ModalAI Team
          wrote on last edited by
          #4

          @Jeffrey-Mao , depth_image is just a regular image, correct (not a 3D point cloud)? What is publishing this image?

          Jeffrey MaoJ 1 Reply Last reply
          0
          • Alex KushleyevA Alex Kushleyev

            @Jeffrey-Mao , depth_image is just a regular image, correct (not a 3D point cloud)? What is publishing this image?

            Jeffrey MaoJ Offline
            Jeffrey MaoJ Offline
            Jeffrey Mao
            Contributor
            wrote on last edited by
            #5

            @Alex-Kushleyev Sorry for the confusion I mean Disparity Image.

            On further examination, I think this is a network problem. When streaming high bandwith objects like Disparity images or images in general across wifi. I think effectively managing the bandwidth can alleviate this problem.

            Alex KushleyevA 1 Reply Last reply
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            • Jeffrey MaoJ Jeffrey Mao

              @Alex-Kushleyev Sorry for the confusion I mean Disparity Image.

              On further examination, I think this is a network problem. When streaming high bandwith objects like Disparity images or images in general across wifi. I think effectively managing the bandwidth can alleviate this problem.

              Alex KushleyevA Offline
              Alex KushleyevA Offline
              Alex Kushleyev
              ModalAI Team
              wrote on last edited by
              #6

              @Jeffrey-Mao , no worries, thanks for the update!

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