issues
search
HuXiaoling
/
TopoLoss
Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation
MIT License
146
stars
22
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
#28
Lenleooo
opened
2 months ago
1
some question about the batchsize setting
#27
FZH1802
opened
2 months ago
4
How to calculate β-error?
#26
Raindow
closed
9 months ago
1
hi,will the 3d version be released?
#25
puppy2000
opened
10 months ago
1
How do I return pixels associated with a particular topological feature (for example, a ring)
#24
SUNSONG111
opened
1 year ago
0
How do I return pixels associated with a particular topological feature (for example, a ring)
#23
SUNSONG111
opened
1 year ago
2
Why is ARI and VOI topology-aware
#22
ZefanW
closed
1 year ago
4
About betti error
#21
wlsdzyzl
closed
1 year ago
2
Boundary mask of CREMI dataset
#20
wlsdzyzl
closed
1 year ago
2
free(): double free detected in tcache 2
#19
mmmmimic
closed
1 year ago
4
If is it availiable in windows system?
#18
emailtime
opened
1 year ago
0
Example call of CubicalPers_gcc
#17
pfeifran
opened
2 years ago
0
I still can't understand your paper very well due to lack of knowledge of topology.
#16
Yanfeng-Zhou
opened
2 years ago
1
Debug problems
#15
ClingZhang
opened
2 years ago
0
A problem of constructing topo_cp_weight_map
#14
wlsdzyzl
closed
2 years ago
4
problem about "cofaces_of_persistence_pairs"
#13
KaijunGao
opened
2 years ago
1
true 3D code
#12
KaijunGao
closed
2 years ago
1
from PersistencePython import cubePers 这里需要进行提前编译 PersistencePython.so 的吗
#11
PhilChina
closed
2 years ago
3
Indentation issue in topoloss_pytorch.py
#10
mrenzo96
closed
2 years ago
1
Error in constructor Bitmap_cubical_complex_base
#9
onealbao
closed
2 years ago
4
Q: I am confused the implement of topoloss. In your code, you mentioned that " Calculate the topology loss of the predicted image and ground truth image Warning: To make sure the topology loss is able to back-propagation, likelihood tensor requires to clone before detach from GPUs. In the end, you can hook the likelihood tensor to GPUs device."
#8
BaochangZhang
closed
2 years ago
1
PyPi or (even better) conda recipe
#7
sarthakpati
opened
3 years ago
0
Compiling the library in macOS
#6
ricardobatistad
opened
3 years ago
0
A Question about the paper
#5
qinwang-ai
closed
3 years ago
2
Compiling the library in windows
#4
ranjanisubramanyan
opened
3 years ago
2
How can I use your loss function in TensorFlow
#3
ntelo007
closed
3 years ago
1
Not clear how to use should be open
#2
jgamper
closed
4 years ago
1
Not clear how to use
#1
jgamper
closed
2 years ago
7