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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
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train folder format #52

Closed ghost closed 1 year ago

ghost commented 2 years ago

What does the train folder look like? Should it have images inside with names? also labels in the same folder?

Can you please give more information about the train and test folder stated in https://github.com/Owen-Liuyuxuan/visualDet3D/blob/master/docs/stereo3d.md?

I checked this link http://www.cvlibs.net/datasets/kitti/raw_data.php?type=city but the calibration file creates an error in the code.

Owen-Liuyuxuan commented 2 years ago

You should use the data in detection benchmark instead of the the raw data:

http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d