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Official codes of CVPR22 paper "CVNet: Contour Vibration Network for Building Extraction"

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CVNet: Contour Vibratioin Network for Building Extraction

This repository contains code for the CVNet framework as described in our CVPR 2022 paper.

Dependencies

  • Python 3 (we used v3.6.5)
  • PyTorch (we used v1.2.0)
  • PIL
  • scipy and associated packages
  • tqdm
  • ChamferDistance

Instructions

  1. Download datasets from here
  2. Unzip datasets into your desired directory datasets
  3. Modify these directories in package/config/config.ini, and the directory where you intend to keep results
  4. Complete train/val/test split by split_datasets.py, our divided txt files are placed in package/datasets
  5. Run experiments with runner.py
  6. Download models from here

References

  1. Darnet (https://github.com/dcheng-utoronto/darnet)
  2. ChamferDistance (https://github.com/ThibaultGROUEIX/ChamferDistancePytorch)

Please contact me at xuziqiang@njust.edu.cn for questions.

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Official codes of CVPR22 paper "CVNet: Contour Vibration Network for Building Extraction"

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