Comments (4)
the second question is about the propagation step (forward) of function CSPN and CSPNAccelerate, I notice that not only did you input the guide and depth (hn), but you also included the original depth (h0) as input, and the center guide is used in the the original depth (h0), which is consistent with the original CSPN paper (the Eq.1 of 3.1).
However,the CSPN code did not do so ( or maybe i didn't find it).
I'm just curious how this two implements are done affects the outcome, and what experience do you have with this
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No,I got some answer of my second question in my own experiment, take original depth (h0) into the CSPN will slightly improve the accuracy
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------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2023年2月13日(星期一) 中午1:25 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [JUGGHM/PENet_ICRA2021] some questions about the implement of CSPN (Issue #60) Hello, have you solved your problem? I have the same question. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
我们能加一个联系方式吗?
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Related Issues (20)
- Projection result confirmation HOT 3
- Questions about KITTI-odometry HOT 2
- Runtime measurement HOT 4
- How to use the sparse depth?
- How to use the sparse depth? HOT 4
- Modify the backbone network HOT 3
- lightweight deployment of PENet network
- How to infer PENet for KITTI object task? HOT 3
- broken PNG file HOT 1
- the difference intrinsic parameters between train and test HOT 4
- Modify DA-CSPN++ for single branch input HOT 1
- Model mismatch at inference time HOT 1
- Tensor Dimension Mismatch HOT 1
- How many parameters dose PENet have? HOT 2
- About training HOT 1
- How to implement the model with ROS?
- can't download the pretrained PENet Model
- Pretrained on NYU dataset?
- RuntimeError: CUDA out of memory.
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