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Stereo_3DReconstruction

3D Reconstruction from Stereo Images. Our code Computes the disparity using PSMNet Architecture Model and then triangulate the 3D Points. Finally, 3D Points are visualized using Open3D.

PSMNet=> " https://github.com/JiaRenChang/PSMNet "

CapStone Project

This project is for 2020-1 semester Capstone Project.

1. Contributor

  • Jae Won Yang, Jae Won U

2. Version

  • python3.6
  • Open3d 0.10
  • torch1.5 and torchvision 0.6
  • Cuda >=10.1
  • Ubuntu 18.04
  • Multiple GPU: Nvidia Titan X (Use Dataparallel GPU Number 2 and 3)

3. Build

4. Run Demo

  • Command: "python3 reconstruction.py --folder_name chair"

5. Add custom dataset

  • Stereo Datasets => "https://vision.middlebury.edu/stereo/data/scenes2014/"
  • Download the dataset zip file
  • Create dir inside the dataset dir -> (The dir name will be an argument when you type in the command)
  • Put the calib.txt, im0.png, im1.png inside the (Your dataset) dir.
  • Then Run "python3 reconstruction.py --folder_name (Your data dir name inside dataset dir)"