Rana Hanocka

Hi @Pavelevivan > obj -> edges -> seg -> eseg (is that correct?) Yes, that is correct. I think if you try to reproduce the example from the MATLAB scripts...

Hi @yuvaramsingh94 , The matlab code maps the segmentation from one resolution to another (it computes some graph cut optimization to do that). Unfortunately, there is only matlab code to...

You can place a validation split in the "test" folder -- and only run inference on the real test as often as desired

Hi @claell , I suppose it depends a bit on your problem. You can try to play with the network hyperparameters: more convolution layers, more or less skip connections, more...

Hi @claell , The code indeed currently prints the training loss and testing accuracy (and also saves it to a log file). Yes, high training accuracy and low test accuracy...

Hi @claell -- > Currently the training accuracy and test loss is not printed I see. I did not add this functionality... you can modify the code to print these...

To add plots to the tensorboard you should add another method in the [Writer Class](https://github.com/ranahanocka/MeshCNN/blob/master/util/writer.py). Or modify the existing one to take the plot name as an argument. For example:...

Hi, you can do it with tensorboard. Install tensorboard and tensorboardX. Then run `tensorboard --logdir runs` and click http://localhost:6006. The plots for SHREC classification look like this: 

Hi @claell , I never used Kaggle, but a quick google search pulls up this demo of [tensorboard with kaggle](https://www.kaggle.com/joocheol/you-can-use-tensorboard-within-your-notebook). If you can copy the tensorboard event data (it is...

Hi @christinezuzart , > 1. Is it mandatory to pre-process the mesh to reduce to same number of faces for the all CAD Models of the data set, as mentioned...