RandLA-Net
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🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
Hi, I am trying to visualize S3DIS data (one whole .ply data) using your code from [LINK](https://github.com/QingyongHu/RandLA-Net/blob/04829e8bb57f802ff406a2f0aff4a5f64ef65179/helper_tool.py#L286-L323). However, the results of visualization is very weird as below:  Do you...
Hello; Please I used the pre-trained model for semantic segmentation of an airborne point cloud but how can I determine the reliability of my results, is there a possibility to...
GetNext
when i training dataset Semantic3d, i have a proplem: getnext() failed because the iterator has not been initialized. ensure that you have run the initializer operation for this iterator before...
Hi! Your demo is so amazing! I use your script of write ply file, I also write every vertex color into .ply file. But Blender doesn't display vertex color when...
@QingyongHu ,when I train the S3DIS datasets,I want to visualize the result, While opening: '/data/sws/RandLA-Net/test/results/Area_1_hallway_1.ply' Error encountered while loading file: "/data/sws/RandLA-Net/test/results/Area_1_hallway_1.ply" Error details: No vertex field found Is there something...
Hello , please I need your help. I would like to know after the model training, how I can do for prediction with my point clouds having a ".LAZ" format....
Good afternoon, Thank you for your excellent work. I'm running this code on a custom dataset and I ran into an issue with testing. I consistently got high IoU results...
Hi I have a problem running the main_semantic3D.py. I followed the instructions as it was suggested. However, each time I run the routine, I see this error message, which I...
Hi. Thank you for your great research. I have a question about your structure. According to the appendix of your study, decoders and encoders are composed of four each. ...
Thanks for the awesome work. I'm trying to use RandLA for a regression task. I'm actually using the PyTorch implementation and tried replacing the final layers with linear layers but...