weiyithu / fgr Goto Github PK
View Code? Open in Web Editor NEW[ICRA 2021] FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
License: MIT License
[ICRA 2021] FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
License: MIT License
pcdet.datasets.kitti.kitti_dataset:
final_result = list(infos)
while None in final_result:
final_result.remove(None)
return final_result
The above line numbers seem incorrect. Can you update the README file?
Hi @weiyithu , thank you for your great work. Your algorithm works very well in KITTI dataset.
However, in your paper, you didn't mention how to estimate the object's orientation (heading-specific). As far as I understand, if we can determine the rotation angle 'phi' of the bounding box in bird-eye-view, the final object's orientation can be 'phi' or 'phi + pi' because we do not know about the heading of the object. How can you resolve this scenario? Thank you.
Hi Weiyi, thanks for sharing your great work.
I was wondering if I overlooked some codes for calculating the metric of mAP. Could you give me more information on where I could find the mAP code in this repo. Thank you for your time, any response will be appreciated.
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