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3D_segmentation_annotation.

You should prepare dataset that is separated and save each part into a folder.

First, run B1.py: create new enviroment.

-To run this code, you should install librarys:

  • pip install open3d-python (version --0.7.00)
  • pip install plyfile
  • (1) You should fix something about input and output folder direction to match your folder
  • (2) Eg: run code "python B1.py -i /home/airlab/Desktop/Annotation3D/DATACUTTING/ -o /home/airlab/Desktop/Annotation3D/DATA/"
  • After you select object for train and test. And save it into two folder named: "DATATRAIN and DATATEST".

Then run B2.py: create new enviroment.

-Intruction: create new enviroment

  • (1) Install:
  • pip install open3d=0.13.0.0
  • pip install plyfile
  • add d3 folder
  • (2) you should fix something about direction
    • Eg: run code: "python B2.py -i /home/airlab/Desktop/Annotation3D/DATATRAIN" and "python B2.py -i /home/airlab/Desktop/Annotation3D/DATATEST".

Library is to process 3D point cloud:

  • open3d
  • plyfile
  • trimesh
  • pyVista
  • openGL
  • PCL with C++ This project is a work in progress.

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