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.gitignore

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__pycache__/
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/datasets
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/test_results

README.md

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[NeuFlow v2: Push High-Efficiency Optical Flow To the Limit](NeuFlow_v2.pdf)
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Authors: [Zhiyong Zhang](https://www.linkedin.com/in/zhiyong-zhang-0772a0159/), [Huaizu Jiang](https://jianghz.me/), [Hanumant Singh](https://scholar.google.com/citations?user=1UEU5PEAAAAJ)
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Authors: [Zhiyong Zhang](https://www.linkedin.com/in/zhiyong-zhang-0772a0159/), [Aniket Gupta](https://scholar.google.com/citations?hl=zh-CN&user=arsUOq0AAAAJ), [Huaizu Jiang](https://jianghz.me/), [Hanumant Singh](https://scholar.google.com/citations?user=1UEU5PEAAAAJ)
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## Installation (PyTorch >= 2.0 is required)
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## Inference
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Inference uses our pretrained model, trained with multiple datasets, neuflow_mixed.pth.
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```
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python infer.py
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```
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<img src="example_result.jpg" width="600" >
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## Datasets
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The datasets used to train and evaluate NeuFlow are as follows:

example_result.jpg

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