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Pytorch implementation of "Deep Ordinal Regression Network for Monocular Depth Estimation" paper by Fu et. al.

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Hi, I found really usefull for implementaion and i am facing an out of memory exception when i learn in a bigger Dataset. I did not change the model implementation...

First of all, Thank you very much for sharing this code. It is an improved version of the former implementation. I have tested the NYUv2 values, and I got the...

Hi, Thank you for providing this PyTorch implementation. Have you tested the accuracy performance of this code on KITTI? Many thanks

Hello,your code help me a lot,thank u very much I have a question about subjective effect.The RMSE is great,but the prediect depth has a block effect.Do you konw how to...

Thank you for your code, it's very useful to me. But in the training process, D1, D2, D3 gradually become smaller. What's the problem?

Traceback (most recent call last): File "", line 1, in Traceback (most recent call last): File "train.py", line 56, in File "D:\Users\Administrator\Anaconda3\envs\VNL\lib\multiprocessing\spawn.py", line 105, in spawn_main for i, (input, target)...