self-supervised-depth-completion
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ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Hi @fangchangma, Thank you for your impressive work. I just have one question regarding to your training setting. In the paper, you used photometric consistency between current frame and next...
What should I do if I only want to use your code for a few images?
my PR fixes the following bug: `RuntimeError: expected device cuda:0 but got device cpu` ... while running this command: `python main.py --cpu --evaluate [path2checkpoint]`
Hi Fangchang: Thank you so much for sharing this great project! I have tested your pre-trained self-supervised model, it's RMSE is around 1300, matched with your paper. But when I...
Hi, Is the "silog" measurement calculated in metrices.py the scale-invariant Error proposed by Eigen et al. in https://arxiv.org/pdf/1406.2283.pdf thanks.
Hey, I want to save the depth map estimated by your approach. How is that possible? Right now if I am running python3 main.py --evaluate /home/username/Downloads/model_best.pth.tar --val select I just...
Hi, great papers, thanks a lot for sharing! I have a question - have you done any evaluations of your latest work, but in a depth-**estimation** (not completion) setup? [unsupervised](https://github.com/nianticlabs/monodepth2)...
hello fangchangma would you please tell me that how to colorize the depth map in your papper I get the gray depth image and don't konw how to compare with...
Adapted the original code used for the paper into the current repository structure after some cleanup and reorganization, while preserving mathematical operations. The main new functionalities are in the folder...
Hi, Thanks for open-sourcing this great piece of work! I am trying to implement your code and faced some problem,I see that in the main.py file is calculating loss2 (photometric_loss),...