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
hi guys, since I am new to this, I just want to know. How to run much input like images from a specific folder and save all the outputs in another folder? It would be great if anyone can help me! Thanks in advance.
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?
I am trying to replicate the network but the requirements looks a bit outdated, it would be really helpfull if I can get a DockerFile for running this repositry.
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?
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.