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ITSC 2019 | This is the accompanying code repository for our paper "DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion" | PyTorch, Python 3

Home Page: https://arxiv.org/abs/1902.00761

License: GNU General Public License v3.0

C++ 41.73% C 0.59% Shell 0.38% MATLAB 0.29% Python 57.01%

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dfusenet's Issues

pretrained model on NYU Depth V2

Hello,many thanks that you share your model, the idea is great.
Now I want to test it on the NYU Depth V2 dataset,
Could you provide any pretrained model that can work on the NYU Depth V2?

DockerFile for running the project

Hi,

I am trying to replicate the network but the requirements looks a bit outdated, it would be really helpfull if I can get a DockerFile for running this repositry.

Thanks In Advance.

Training Code

when the train code is available ,could you share with me?

train code

dear,
i am satisfied with your work and want to know the train code ,could you help me?

About training settings

Hi, Thank you for the great work.
In your paper, 20-25 batch size is used, but the KITTI image is large, so what is your hardware setting(what GPU type and GPU memory?) and are you crop the KITTI image to have a large batch size?

About training code

Hello,
I am very interested in the work of your paper, this is a great job. Are you considering opening your training code? I want to know some of the details.
Thank you.

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