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Training and evaluation code #64

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harsh-sengar opened this issue Feb 6, 2022 · 5 comments
Open

Training and evaluation code #64

harsh-sengar opened this issue Feb 6, 2022 · 5 comments

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@harsh-sengar
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You haven't released the training and evaluation code
for Monodepth and Semantic Segmentation tasks. If you can provide your
training and evaluation code then that will be very useful for my
research.

@younesbelkada
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Hi, we have made an attempt to reproduce the training script of DPT for semantic segmentation and depth estimation in the following repo: https://github.com/antocad/FocusOnDepth check it out if you are interested!

@awsaf49
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awsaf49 commented Jun 25, 2022

@younesbelkada Did you try finetuning it on kitti dataset as well?

@younesbelkada
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Hi @awsaf49 unfortunately we didn't, but I think that it should work well if you follow the instructions for training

@awsaf49
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awsaf49 commented Jun 25, 2022

@younesbelkada Thanks for your reply. The issue with kitti is that it doesn't come with dense/interpolated depth map like nyuv2 dataset. Hence, I'm having doubts if they trained model with sparse depths or dense/interpolated depth

@jikexiaohgege
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你好,我们尝试在以下 repo 中重现用于语义分割和深度估计的 DPT 训练脚本:https://github.com/antocad/FocusOnDepth,如果您有兴趣,请查看!

您好 请问您提供的这个代码是如何在作者这个模型中训练的,感谢指导

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4 participants