Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

using muMatch to find correspondence points in different type of mesh models #2

Open
ttsesm opened this issue Apr 20, 2022 · 2 comments

Comments

@ttsesm
Copy link

ttsesm commented Apr 20, 2022

Hi,

I would like to ask whether the muMatch approach could be used to find correspondence points between two meshes that snap together and not overlapping. For example I have the following two meshes:
image
Now I would like to find the correspondent matched points on the sides that the two meshes snap together. Would that be possible?

I've tried to adjust the code to run it on my sample meshes and see what the output is but then I've encountered the following issue:

------------------------------------------------------------
Resampling meshes
------------------------------------------------------------

100%|██████████| 2/2 [00:07<00:00,  3.62s/it]

------------------------------------------------------------
Calculating geodesic matrices
------------------------------------------------------------

100%|██████████| 2/2 [00:05<00:00,  2.68s/it]

------------------------------------------------------------
Calculating Laplacian eigendecomposition
------------------------------------------------------------

100%|██████████| 2/2 [05:08<00:00, 154.24s/it]
  0%|          | 0/2 [00:00<?, ?it/s]
------------------------------------------------------------
Calculating signature functions
------------------------------------------------------------

/home/ttsesm/Development/muMatch/micro_match/preprocessing/feature_descriptors.py:37: RuntimeWarning: invalid value encountered in log
  dE = util.differenceMatrix(eps, np.log(evals))
100%|██████████| 2/2 [00:27<00:00, 13.95s/it]


Preprocessing complete.


Epoch 1, Loss: nan
Epoch 2, Loss: nan
Epoch 3, Loss: nan
Epoch 4, Loss: nan
Epoch 5, Loss: nan
Epoch 6, Loss: nan
Epoch 7, Loss: nan
Epoch 8, Loss: nan
Epoch 9, Loss: nan
Epoch 10, Loss: nan
Traceback (most recent call last):
  File "/home/ttsesm/.conda/envs/mumatch-clean/lib/python3.8/site-packages/tensorflow/python/training/py_checkpoint_reader.py", line 96, in NewCheckpointReader
    return CheckpointReader(compat.as_bytes(filepattern))
RuntimeError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for /home/ttsesm/Development/muMatch/micro_match/preprocessing/deep_functional_maps/checkpoints/Presius_dataset

Thanks.

@ttsesm
Copy link
Author

ttsesm commented Apr 27, 2022

@jjk01 any hints for the issue above?

@jjk01
Copy link
Collaborator

jjk01 commented Nov 28, 2022

Hello, sorry for the very late reply to this. I'm afraid that this algorithm is not able to solve your problem (it is for finding a match between two similar meshes rather than being able to align two halves of the same mesh).

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants