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deepend2endtofimaging's Issues

Original EXR files and pbrt_all_10 command

Thank you for uploading your work and the dataset! I have two questions:

  1. Are the original pbrt EXR files available for download as well?
  2. From my understanding, the DeepToF_release_0.1/scripts/pbrt_tof_batch_albedo_aug.sh script runs a pbrt-v3-tof/pbrt_all_10 command, which I cannot find. I've tried building the provided DeepToF_release_0.1/src/pbrt-v3-tof directory, but am still unable to find that command. How can I get the pbrt_all_10 command?

Thank you!

Matlab part

Hi, I study your paper recently, After operate: bash job_example.sh, I'll get the result, and how to start matlab part? Is Matlab program is necessary? can I modify the input and output?

How to prepare the dataset and how to get corr_img and depth_peaks?

Input data

Hello! I am working on a CNN which gets amplitude data as input (and output) and wondered how exactly you performed the normalization (value range, etc.)? I remember reading that with GANs [-1, 1] is the preferred value range which does not seem intuitive for amplitude data...

training dataset error

Hello, I am a student from China. Recently I was reproducing your published Deep End-to-End Time-of-Flight Imaging. when I was downloading the training dataset, the unpacking reported an error as follows.

$ unzip mpi_correction_corrnormamp2depth_albedoaug_zpass

Archive: mpi_correction_corrnormamp2depth_albedoaug_zpass.zip
warning [mpi_correction_corrnormamp2depth_albedoaug_zpass.zip]: 4294967296 extra bytes at beginning or within zipfile
(attempting to process anyway)
file #1: bad zipfile offset (local header sig): 4294967296
(attempting to re-compensate)
error: invalid zip file with overlapped components (possible zip bomb)

It may be caused by a corrupted zip file, can you please provide a normal zip file?

The links are no longer valid

Hello, can you still use your code to improve the MPI problem?
There is very little open source code about this, I need your help Thank you

training speed is slowly.

Hello! I'm from China and I'm researching the problem of multipath of ToF using your method now. And when I use your net structure and the synthetic data for training model, I find the training speed is very slow, more slower than you said in your article(my machine: ubuntu16.04 64bit, GPU GTX1080 8GB, i7-7700 CPU, 16GB RAM, I use CUDA and cuDNN), maybe exceed 1,000 hours, So I want to know is the Net parameter: batchSize is 1? Or other parameters are changing? Please, Thank you a lot.

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