Revision 07680c4f333adcd52584f73784158a4651700f33 authored by Brett Zachary Allen on 05 April 2021, 22:16:51 UTC, committed by Facebook GitHub Bot on 05 April 2021, 22:17:34 UTC
Summary: Fixed single image bug that had incorrect function arguments for extracting features on a single image. Fix: https://github.com/facebookresearch/mmf/issues/848 Pull Request resolved: https://github.com/facebookresearch/mmf/pull/850 Reviewed By: vedanuj Differential Revision: D27547598 Pulled By: brettallenyo fbshipit-source-id: 7bac9aff5521c684a048441cfee619ecb6b84b5e
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README.md
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#
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<a href="https://mmf.sh/docs">
<img alt="Documentation Status" src="https://readthedocs.org/projects/mmf/badge/?version=latest"/>
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<a href="https://circleci.com/gh/facebookresearch/mmf">
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---
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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