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About result visualization #27

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WANGYINGYU opened this issue Jun 28, 2019 · 3 comments
Open

About result visualization #27

WANGYINGYU opened this issue Jun 28, 2019 · 3 comments

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@WANGYINGYU
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image
Hello,
In the evaluation results, I found that there is content about the visualization of the results, as shown in the picture. What I don't know is what the fourth column is. It seems to be a semi-dense depth map of the annotations, but I used the self-supervised mode(sparse+photo), which should not use annotation data. Can you answer my doubts? Thank you.

@WANGYINGYU
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@fangchangma

@fangchangma
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fangchangma commented Jun 28, 2019

You were correct about the rightmost column being the semi-dense annotations (i.e., gt in the following line).

gt = batch_data['gt'] if mode != 'test_prediction' and mode != 'test_completion' else None

The fourth column is currently part of the visualization, regardless of how the network is being trained.

@nowburn
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nowburn commented Dec 13, 2019

@fangchangma
Hello, I'm glad to see your paper, it's really a good job.

2019icra
How do you generate it ? Is it a real street 3D model? if so , can you share your code to my email([email protected])?
Thanks a lot!

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