YokkaBear

add model.save(some_path) method to the end of the cifar.py can solve it.

Thank you for your quick reply @LMescheder , and I will give you my feedback after I go deeper into these methods.

Hi, @LMescheder, Thank you for your kindly instructions, I have finished running the demo of [Manifold](https://github.com/hjwdzh/Manifold) and could generate simplified watertight 3D meshes by hand. My current research project is...

Maybe the description above is a little abstract. I will take it brief. To now I have been able to make watertight mesh models of any 3D project in the...

Hi, @LMescheder , In order to learn more about the training process, I think it is better to run the training code with the processed dataset that you have provided...

https://github.com/autonomousvision/occupancy_networks/issues/27#issuecomment-570518411 Fortunately I have downloaded the dataset and try the next step to run it through, no longer is the google drive link needed.

(This comment is a little bit long, taking 3~5 min to read, excuse me.) Hi, @LMescheder Up to now I have succeeded in training the preprocessed ShapeNet dataset, and the...

[my last comment](https://github.com/autonomousvision/occupancy_networks/issues/27#issuecomment-592014570) is solved partially by adding --packbits option to the command line instruction of running sample_mesh.py as below: ``` python3 sample_mesh.py --in_folder /root/3dface/onet/data/examples-3dface/output/output-off-5to17 --pointcloud_folder /root/3dface/onet/data/examples-3dface/pointcloud --points_folder /root/3dface/onet/data/examples-3dface/points --voxels_folder...

> Hi, have u reconstructed human face using onet successfully? Yes, to now I have run the training and testing process on my own 3D face dataset several times to...

The model I applied now is the ONet proposed by the writer (without any modification up to now), the dataset I applied is the Florence3DFace dataset, and the parameters to...