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Efficient distortion loss with O(n) realization.

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I want to train on custom data. I have the poses, but I am unable to get the disp directory for training

Hi ! I'm trying to run [Block-NeRF](https://github.com/sjtuytc/UnboundedNeRFPytorch) and I faced this error: ```bash Using /root/.cache/torch_extensions/py310_cu116 as PyTorch extensions root... Detected CUDA files, patching ldflags Emitting ninja build file /root/.cache/torch_extensions/py310_cu116/segment_cumsum_cuda/build.ninja... Building...

I've read the code about `eff_distloss_native()`, but I could not really understand how it works :( Can you please put on some derivations so that we could more understand the...

![image](https://github.com/sunset1995/torch_efficient_distloss/assets/112935872/649020d2-503e-4bf0-bb9f-e8925d960d8a)

Thank you for this great implementation of distortion loss. I ran into this issue when compiling your extension. ```shell \lib\site-packages\torch\include\pybind11\cast.h(624): error: too few arguments for template template parameter "Tuple" detected...

Hi, What do you set the interval value to for the last sampled point on each ray. Using a large term (1e10) as a substitute for infinity make the loss...

I fond a core dumped issue when using this library: ![image](https://user-images.githubusercontent.com/31123348/225533135-0fd9bc03-55cf-4bf9-8688-d75e342ec0c8.png) .