[Question]Why not using a deep learning based disparity supervision like PSM?

Owen-Liuyuxuan / visualDet3D

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

https://owen-liuyuxuan.github.io/papers_reading_sharing.github.io/3dDetection/GroundAwareConvultion/

Apache License 2.0

365 stars 77 forks source link

[Question]Why not using a deep learning based disparity supervision like PSM? #7

Closed CaptainEven closed 3 years ago

CaptainEven commented 3 years ago

Why not using a denser disparity supervision(converted from lidar points) like PseudoLidar(++)?

Owen-Liuyuxuan commented 3 years ago

Do you mean using LiDAR points to supervise the stereo matching instead of the OpenCV one?

You can also try that by setting "use_point_cloud" to "True" in disparity_precompute_launch.

Empirically, the results are similar on the validation set.