superidiot

same problem on tf-1.5

Is mrob a personal lib? It seems you extended the Eigen to python or write a se3 yourself. Any clue for help so that I do it by myself?

@huang45 refer the [link](https://github.com/MaybeShewill-CV/lanenet-lane-detection)

I face the same problem, and corrected following [https://github.com/jbehley/point_labeler/issues/11](url), you can check by selecting "show single scan", to see if the center of the current point cloud is missing with...

> Do you have individual scans (say around 150k points) or larger scans/a single large scan (say millions of points) that yo want to annotate? I don't have a lidar...

@jbehley  the black (unlabeled points) are filtered by ego-car bounding box. I think we are not talking about the same problem.  I never processed map with too huge...

> @hahakid We are sorry for the late response. Thank you for your metric applicability research, you got an intriguing results. We would love to continue the research and it...

AVIA and Mid-70 are tested and the data is normal, only rise a unknow in type: *** Discovered a Livox sensor *** Type: UNKNOWN Serial: 3GGDH7T0010135 IP(s): 192.168.1.135 (ID: 1)...

@approximatenumber I will check later, thanks for your kind reply. ROS supported well, but I am writing a demo for non -CS students for real time detection task, so I...

@TBRTK here is a decoded imu frame of 0.1s: //gyro_x,gyro_y,gyro_z,acc_x,acc_y,acc_z,time -0.000642,-0.002169,0.000897,-0.004233,0.010864,0.986681,1657.958862 0.005750,-0.002169,0.001962,-0.004142,0.009399,0.975053,1657.963851 0.001489,0.002092,-0.001234,-0.007712,0.022033,1.009843,1657.968876 -0.004903,0.001027,-0.002299,-0.007438,0.014892,0.998674,1657.973847 -0.000642,-0.001104,-0.000168,-0.002952,0.005554,0.968736,1657.978868 0.005750,0.003157,0.001962,-0.003867,0.020202,0.996385,1657.983850 0.001489,0.003157,-0.004429,-0.006522,0.021117,1.013963,1657.988864 0.001489,-0.002169,-0.000168,-0.005607,0.005737,0.976884,1657.993845 0.004685,-0.001104,-0.000168,-0.005240,0.014526,0.981920,1657.998872 0.001489,0.004223,-0.002299,-0.008445,0.024871,1.013963,1658.003843 0.000424,-0.003234,0.004093,-0.009177,0.011779,0.990434,1658.008864 0.003620,0.001027,-0.001234,-0.003592,0.009124,0.970018,1658.013848 0.002554,0.003157,-0.001234,-0.005698,0.022308,0.998216,1658.018865 -0.002772,-0.001104,-0.001234,-0.007895,0.015716,1.003893,1658.023846 -0.000642,-0.000038,0.003027,-0.008536,0.003448,0.979356,1658.028869 0.000424,-0.001104,0.001962,-0.007071,0.021026,0.993547,1658.033847 -0.002772,-0.001104,0.000897,-0.004874,0.020110,1.007829,1658.038869 0.001489,0.002092,0.000897,-0.008079,0.006469,0.983385,1658.043850 0.006815,-0.001104,-0.000168,-0.003776,0.013244,0.976060,1658.048866 0.007881,-0.000038,0.001962,-0.002952,0.018554,1.005632,1658.053845