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VideoPipe

The officail codebase of VideoPipe dataset. We will update the data and code of our VideoPipe. [Project] [Arxiv]

ToDo

  • Update the code of champion team on VideoPipe.

📰 News

⚡️ Data Download

  • raw videos: You should obey the terms and conditions and download them from our competition pages.
  • eval_detection.py:Evaluation code for Track: Temporal Defect Localization.
  • eval_classification.py:Evaluation code for Track: Video Defect Classification.

☎️ Contact

Any question about our VideoPipe, you can email me. (yi.liu1@siat.ac.cn)

✏️ Citation

If you think this project is helpful, please feel free to leave a star⭐️ and cite our paper:

@inproceedings{liu2022videopipe,
  title={VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection},
  author={Liu, Yi and Zhang, Xuan and Li, Ying and Liang, Guixin and Jiang, Yabing and Qiu, Lixia and Tang, Haiping and Xie, Fei and Yao, Wei and Dai, Yi and others},
  booktitle={2022 26th International Conference on Pattern Recognition (ICPR)},
  pages={4967--4973},
  year={2022},
  organization={IEEE}
}

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The officail codebase of VideoPipe dataset.

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