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An Open-source Codebase for exploring Continuous-learning/Pre-training-oriented Autonomous Driving Task

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griesbchr/3DTrans

 
 

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Codebase of Master Thesis: Application-oriented Investigation of Domain Adaptation for 3D Object Detection in Automotive Point Clouds

Installation for 3DTrans

You may refer to INSTALL.md for the installation of 3DTrans.

Getting Started

  • Please refer to Readme for Datasets to prepare the dataset and convert the data into the 3DTrans format.

  • Training and testing can be started with the train.sh and test.sh

  • Zenseact dataset demo can be found in tools/zod_demo.py

Visualization Tools for 3DTrans

  • Our 3DTrans supports the sequence-level visualization function Quick Sequence Demo to continuously display the prediction results of ground truth of a selected scene.

Acknowledge

  • Our code is heavily based on OpenPCDet v0.5.2. Thanks OpenPCDet Development Team for their awesome codebase.

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An Open-source Codebase for exploring Continuous-learning/Pre-training-oriented Autonomous Driving Task

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  • Jupyter Notebook 67.8%
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