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Hello
First thank you for sharing the amazing works through github, I have several question related with my problem.
I generate the pseudo lidar from your repository by using depth information (NPY files) from monodepth2, but I am not sure whether my pseudo lidar data is correct or not. My pseudo lidar is shown like this:
Do you think that my pseudo lidar is correct or not? because when I try to train it using your AVOD repository, it has error in generating the minibatch.
The AVOD error is like this:
File "/media/ferdyan/NewDisk/ITRI_3D/avod_pl-master/wavedata/wavedata/tools/core/voxel_grid_2d.py", line 102, in voxelize_2d
unique_indices[-1])
IndexError: index -1 is out of bounds for axis 0 with size 0
All Done (Parallel)
Thank you very much. Have a nice day.
The text was updated successfully, but these errors were encountered:
ferdyandannes
changed the title
Pseudo-LiDAR for training AVOD
Pseudo-LiDAR for training AVOD using monodepth2
May 14, 2020
Hi @ferdyandannes , you have to first use the code to generate point cloud. There is a point cloud visualization library pyntcloud. You can use it to visualize Velodyne points and your monocular depth and compare the difference between them.
Hello
First thank you for sharing the amazing works through github, I have several question related with my problem.
Do you think that my pseudo lidar is correct or not? because when I try to train it using your AVOD repository, it has error in generating the minibatch.
The AVOD error is like this:
File "/media/ferdyan/NewDisk/ITRI_3D/avod_pl-master/wavedata/wavedata/tools/core/voxel_grid_2d.py", line 102, in voxelize_2d
unique_indices[-1])
IndexError: index -1 is out of bounds for axis 0 with size 0
All Done (Parallel)
Thank you very much. Have a nice day.
The text was updated successfully, but these errors were encountered: