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OmniSRNet

This is the implementation of our "Structure Recovery from Single Omnidirectional Image with Distortion-aware Learning"

Method overview

Overview

Prerequisites

Ubuntu20 NVIDIA GPU + CUDA CuDNN pytorch 1.8.1 with python 3.7.6

Dependencies (click to expand)
  • numpy
  • scipy
  • sklearn
  • Pillow
  • tqdm
  • tensorboardX
  • opencv-python>=3.1 (for pre-processing)
  • pylsd-nova
  • open3d>=0.7 (for layout 3D viewer)
  • shapely
# Datasets(IOSR) （1）Panorama - PanoContext/Stanford2D3D Dataset - [Download preprocessed pano/s2d3d](https://drive.google.com/open?id=1e-MuWRx3T4LJ8Bu4Dc0tKcSHF9Lk_66C) for training/validation/testing - Structured3D Dataset - See [the tutorial](https://github.com/sunset1995/HorizonNet/blob/master/README_ST3D.md#dataset-preparation) to prepare training/validation/testing. （2）Fisheye PanoContext-F，Stanford2D3D-F and Structured3D-F are converted from the optimized panorama images by pano2fish(main.cpp)

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