Devoe

i use this code `xyz, rgb, labels, o = libply_c.prune(xyz, args.voxel_width, rgb, np.array(1,dtype='uint8'), np.zeros(1, dtype='uint8'), 0, 0)`

> Yes, see the last paragraph of Usage in README. Let me know if you have further questions. I see it. Thanks!

I got the same problem. Have you solved it? @EillotY

Cuda version and pytorch version cause this problem. I solved it by using the corner pooling code from thie https://github.com/learnerjsk/CornerNet-Lite @EillotY

> ok, thanks.So corner_net can you train your own datasets? yes

Cuda version and pytorch version cause this problem. You can use the corner pooling code from thie https://github.com/learnerjsk/CornerNet-Lite

> Hi @Devoe-97, > > I think you'd want to implement a Lightning [`Callback`](https://pytorch-lightning.readthedocs.io/en/latest/api/pytorch_lightning.callbacks.Callback.html) that runs the appropriate `ema.update()`, `ema.store(); ema.copy_to()`, and `ema.restore()` operations at the right points in the...

> Hi @Devoe-97, > > I think you'd want to implement a Lightning [`Callback`](https://pytorch-lightning.readthedocs.io/en/latest/api/pytorch_lightning.callbacks.Callback.html) that runs the appropriate `ema.update()`, `ema.store(); ema.copy_to()`, and `ema.restore()` operations at the right points in the...

> `height` means the vertical height of each laser beam. `incl` means the inclination of each laser beam. Note that the 64 laser beams of LiDAR are not emitted from...

Is there a way to use replay_param for lambda transform?