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I run thie code as python partition/partition.py --dataset s3dis --ROOT_PATH datasets/s3dis --voxel_width 0.03 --reg_strength 0.03
the dataset filepath is E:\8-testdata\Stanford3dDataset_v1.2_Aligned…
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Hi I am sorry to bother you.
while I run python learning/sema3d_dataset.py --SEMA3D_PATH /home/s206/Documents/sunquan/superpoint_graph-ssp-spg/SEMA3D_DIR
Traceback (most recent call last):
File…
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> IMPORTANT : This is a duplicate of #2
# Lidar point cloud classification
## Context
Airborne [lidar systems](https://en.wikipedia.org/wiki/Lidar) generate data in the form of [point clouds]…
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Thank you for your advice. It works.
I trained the superpoint. But the result of superpoint_hpatches-repeatability-i
and superpoint_hpatches-repeatability-v is worse than magicpoint. And the result …
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Hi, thank you so much for your work. Could you please help me explain these function in def loader function on spg.py ? Thank you so much for your help.
# 1) subset (neighborhood) selection of …
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Hi Loic,
I've been working on segmenting our own colorized point cloud data using your superpoint graph approach. Since annotating some of our own data will be time consuming (we will eventually do…
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I am getting following error while running partition.py for my custom Data (all files in .ply format).
creating the feature file...
Dataset/MyDataset/data/train/000027.ply
===================…
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Hi, I really appreciated your great work. When I adapt your model to train my custom dataset, I use parameter " --db_test_name test --db_train_name trainval", everything is fine, I got the correct res…
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Hi Loic, I am trying to implement your awesome work on a custom point cloud dataset that has about 35 million labelled 3D points (xyz values and a label) for training in a single csv file. I have writ…
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Hi, thanks a lot for your great work. Firstly, I can sucessfully run the code on the semantic3D dataset, now I want to apply the SPG on my own dataset. I have converted the dataset to the format of th…