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how did you project the estimated segmentation on the corresponding RGB images? #10

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sunnyHelen opened this issue Sep 3, 2021 · 4 comments

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@sunnyHelen
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Hi, thanks for sharing your great work. I saw the predicted segmentation is projected on the RGB images in Figure 1 in your paper. Some are dotted and some are transparent squares. What's the meaning of them? And how to visualize them?

@anthonyhu
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Hey!

Thanks for the kind words :) The dots correspond to the bird's-eye view vehicle segmentation that has been discretised and projected back into the RGB image. The transparent paths correspond to the future trajectories in bird's-eye view projected to RGB.
To obtain these, you need to use the intrinsics and extrinsics to go from bird's-eye view space to image space.

@sunnyHelen
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Thanks a lot for your quick reply. The visualizing code in this repo doesn't include this part right?

@sunnyHelen
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Could you please help me figure out how to go from bird's-eye view space to image space in detail?

@sunnyHelen
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I wrote this part by myself, but it didn't work. Could you please release this visualization part? This is very important to me.

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