Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
Detect 3D objects in images for autonomous driving using a flexible and reproducible framework.
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Free · no card · unsubscribe anytimeOfficial Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
visualDet3D has 398 stars on GitHub. It has been forked 78 times. visualDet3D is written mainly in Python. It has been in active development since 2021. visualDet3D is available under the Apache-2.0 license. Its main topics are computer-vision, icra, monocular-3d-detection, object-detection.
Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
visualDet3D is an open-source project. It is released under the Apache-2.0 license.
Yes. visualDet3D is free and open source — you can use, modify and self-host it.
visualDet3D is available under the Apache-2.0 license.
visualDet3D is written mainly in Python.
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