laughtervv/SGPN
SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018
PythonMIT
Issues
- 0
- 1
How to get the visualization result of instance segmentation, similar to .obj file
#46 opened by jianuo1128 - 4
- 2
valid result problem
#23 opened by lhiceu - 2
Gap test file
#29 opened by valvador92 - 2
GroupMerging_old function
#45 opened by ZhuangTingT - 5
- 5
my dataset(cityscape) got : same: 1.000000, diff: 1.000000, pos: 0.000000
#14 opened by WenshuangSong - 12
- 2
SGPN on ShapeNet
#44 opened by azzabaatout - 0
Prepare ShapeNet Dataset for SGPN
#43 opened by ThreeSRR - 1
how to train shapenet using SGPN?
#26 opened by Leerw - 0
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Scannet Evaluation:Page not found
#37 opened by WenshuangSong - 0
- 0
Could you provide the dataset used in your code?
#40 opened by Ylifei - 7
- 4
Code for Seg-Cluster?
#7 opened by tejaskhot - 10
Pre-trained model shows low performance
#20 opened by KosukeArase - 0
- 1
- 6
Some questions about loss calculation
#9 opened by LZDSJTU - 2
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error loading custom checkpoint
#34 opened by niallomahony93 - 1
How many epochs should I set for training?
#22 opened by lhiceu - 0
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some question about train.py
#31 opened by MrCrazyCrab - 0
invalid syntax: incomplete "try" block
#30 opened by TGudz - 2
How to prepare h5 files with nuy dataset
#28 opened by BenChenCh - 9
unbale to find the validation dataset txt file and same for test kindly share some link
#1 opened by saira05 - 0
- 0
Two days to do a single inference?
#24 opened by mshreve - 3
I wantna to know how to perpare the .h5 file?
#13 opened by chuliuT - 1
How to joint pre-trained pointnet model
#17 opened by MaxMece - 14
Train problem for large loss value
#5 opened by CrazySnailer - 0
- 0
some quesiton about model
#19 opened by heng94 - 0
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Where are the associate files for the checkpoint?
#12 opened by avfkg - 1
Group Merging Very Slow. Also high RAM usage?
#11 opened by BenjiDayan - 2
Pipeline from pointcloud file to input?
#10 opened by BenjiDayan - 3
- 1
error when running valid.py
#2 opened by amiltonwong