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Revision 6210494748e601c23cf6edf9ff1ae5adf47a3c4d authored by Madian Khabsa on 11 March 2021, 03:13:27 UTC, committed by Facebook GitHub Bot on 11 March 2021, 03:15:10 UTC 
<fix> support providing configs that contain equal character (#808)
 
Summary:
Pull Request resolved: https://github.com/facebookresearch/mmf/pull/808

The current parser would fail if the opt value has `=` which is needed when providing filters. This diff takes the first occurrence of  `=` as the separator

Reviewed By: apsdehal

Differential Revision: D26955390

fbshipit-source-id: cedfb358de254a0c6d2a88744a0660984b045f47
1 parent c78a408
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README.md 

<div align="center">
<img src="https://mmf.sh/img/logo.svg" width="50%"/>
</div>

#

<div align="center">
  <a href="https://mmf.sh/docs">
  <img alt="Documentation Status" src="https://readthedocs.org/projects/mmf/badge/?version=latest"/>
  </a>
  <a href="https://circleci.com/gh/facebookresearch/mmf">
  <img alt="CircleCI" src="https://circleci.com/gh/facebookresearch/mmf.svg?style=svg"/>
  </a>
</div>

---

MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. See full list of project inside or built on MMF [here](https://mmf.sh/docs/notes/projects).

MMF is powered by PyTorch, allows distributed training and is un-opinionated, scalable and fast. Use MMF to **_bootstrap_** for your next vision and language multimodal research project by following the [installation instructions](https://mmf.sh/docs/getting_started/installation). Take a look at list of MMF features [here](https://mmf.sh/docs/getting_started/features).

MMF also acts as **starter codebase** for challenges around vision and
language datasets (The Hateful Memes, TextVQA, TextCaps and VQA challenges). MMF was formerly known as Pythia. The next video shows an overview of how datasets and models work inside MMF. Checkout MMF's [video overview](https://mmf.sh/docs/getting_started/video_overview).


## Installation

Follow installation instructions in the [documentation](https://mmf.sh/docs/getting_started/installation).

## Documentation

Learn more about MMF [here](https://mmf.sh/docs).

## Citation

If you use MMF in your work or use any models published in MMF, please cite:

```bibtex
@misc{singh2020mmf,
  author =       {Singh, Amanpreet and Goswami, Vedanuj and Natarajan, Vivek and Jiang, Yu and Chen, Xinlei and Shah, Meet and
                 Rohrbach, Marcus and Batra, Dhruv and Parikh, Devi},
  title =        {MMF: A multimodal framework for vision and language research},
  howpublished = {\url{https://github.com/facebookresearch/mmf}},
  year =         {2020}
}
```

## License

MMF is licensed under BSD license available in [LICENSE](LICENSE) file
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