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README.md

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@@ -24,6 +24,20 @@ This is still under development, so some things may not work as intended. I plan
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## What's new
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### - v0.4.0
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Major update to support Lightning 2 (finally!). However, it also introduces breaking changes from the previous v0.3 code. See the details below.
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- Transitioning from v0.3 to v0.4: check the [v0.4 upgrade guide](https://ptlflow.readthedocs.io/en/latest/starting/v04_upgrade_guide.html)
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- Added features:
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- Support for YAML config files. See the [config file documentation](https://ptlflow.readthedocs.io/en/latest/starting/config_files.html)
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- Table [comparing PTLFlow results with the original papers](https://ptlflow.readthedocs.io/en/latest/results/paper_ptlflow.html) to check the stability of the included models.
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- Added new models:
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- NeuFlow v2 [https://arxiv.org/abs/2408.10161](https://arxiv.org/abs/2408.10161)
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- Add support for more datasets:
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- Middlebury-ST [https://vision.middlebury.edu/stereo/data/scenes2014/]{https://vision.middlebury.edu/stereo/data/scenes2014/}
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- VIPER [https://playing-for-benchmarks.org/](https://playing-for-benchmarks.org/)
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### - v0.3.2
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- Added new models:
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You can also check the notebooks below running on Google Colab for some practical examples:
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- [Inference with a pretrained model](https://colab.research.google.com/drive/1YARBRUGplqTRnRuY9sKIs6LY_2kWAWZJ?usp=sharing).
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- [Training and using the learned weights for inference](https://colab.research.google.com/drive/1mbuAEF728_jZpFEsQHXDxjIGAcB1-nVs?usp=sharing).
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- [Inference with a pretrained model](https://colab.research.google.com/drive/1_WXvIRweQJgex0X-HS0LFXBb0IWZIvR4?usp=sharing).
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- [Training and using the learned weights for inference](https://colab.research.google.com/drive/1b_SMGSXh9F9TkinqZt0c64EH-GE87HVi?usp=sharing).
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If you are using the previous v0.3.X code, then check the [v0.3.2 documentation](https://ptlflow.readthedocs.io/en/v0.3.2/) and the following example notebooks:
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- [Inference with a pretrained model (PTLFlow v0.3)](https://colab.research.google.com/drive/1YARBRUGplqTRnRuY9sKIs6LY_2kWAWZJ?usp=sharing).
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- [Training and using the learned weights for inference (PTLFlow v0.3)](https://colab.research.google.com/drive/1mbuAEF728_jZpFEsQHXDxjIGAcB1-nVs?usp=sharing).
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## Licenses
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