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Nice to meet you.
I am a student studying semantic segmentation in Japan.
I'm interested in SalsaNext announced by your team and trying to implement it.
However, I am having trouble with the beha…
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I currently have my own code for generating batches of points and labels as below:
```
def load_lasfile(filename):
inFile = laspy.file.File(filename)
data = np.vstack([inFile.x, inFil…
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I am using darknet53 as the pre-trained model and I want to adapt it to work on our data, without losing its ability to segment properly the KITTI dataset. My data is also in the format of 64x2048 and…
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Thanks for your great work!
When I run train.sh to infer the semantic kitti dataset, the following error is occured.
```bash
$ ./train.sh
Traceback (most recent call last):
File "train_cylinde…
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Dear authors of SemanticKITTI,
I've made the following observation:
The voxelized annotated point clouds (input grid, target grid, ...) are shifted one voxel upward due to a bug in the voxelizer `sa…
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I download the pretrained model for SemanticKITTI and print all parameters. Then I find the weight of conv3 in UpBlock always exist NAN like this:
```
cylinder_3d_spconv_seg.upBlock0.conv3.weight
…
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What are the results of your algorithm on the Semantickitti dataset?
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Hi, @QingyongHu ,
Thanks a lot for the release of you package. I had tried the training on S3DIS dataset and it runs smoothly.
One place confusing me is the train_steps/val_steps in [helper_tool…
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Hi,
May I ask that could you provide some references for the data prereprocessing for SemanticKitti dataset? It seems there are several different steps. I am new to SLAM segmentation. Thanks!
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Dear Ken, thanks for your great code! I have trained my MinkUNet on SemanticKitti and got checkpoints.pt file! Now I wanna test the model on 11~21 scenes and hope to get the predicted label, what shou…