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Autoencoder for Point Clouds

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Hi, I am trying to implement autendoer in pytorch and I did write the model which I suppose is excatly what is present in this repo. Model in pytorch ```...

Hello I am new to deep learning. How can I calculate the accuracy of this autoencoder? How can I improve this program to calculate the accuracy? Please let me know.

Hi @charlesq34 Is there a TF 1.15 version available for this?

Hi, I am trying to implement this code for the generation of points from an aerial LiDAR system. I am able to reproduce the ModelNet results but when I try...

Does it run using CPU rather than GPU? I see there are _cpu specific files in https://github.com/charlesq34/pointnet-autoencoder/tree/master/tf_ops/nn_distance. So I guess the GPU dependency is not really necessary. However, the approxmatch...

I have tried everything there is . It doesn't stop giving me this error. #/bin/bash CUDA_ROOT=/usr/local/cuda-10.0 TF_INC=$(python -c 'import tensorflow as tf; print(tf.sysconfig.get_include())') TF_LIB=$(python -c 'import tensorflow as tf; print(tf.sysconfig.get_lib())')...

I run into this issue when I'm trying to compile the customized nn_disstance operator. The error message is: tensorflow.python.framework.errors_impl.NotFoundError: /home/Autoencoder/pointnet-autoencoder-master/tf_ops/nn_distance/tf_nndistance_so.so: undefined symbol: _ZN10tensorflow8internal21CheckOpMessageBuilder9NewStringEv Even though I try some solutions, the...

If you are looking for EMD of dense point clouds (with over 10,000 points) and large batch size, please check our implementation: https://github.com/Colin97/MSN-Point-Cloud-Completion