Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.4%) to scientific vocabulary
Keywords
Repository
OpenMMLab optical flow toolbox and benchmark
Basic Info
- Host: GitHub
- Owner: open-mmlab
- License: apache-2.0
- Language: Python
- Default Branch: master
- Homepage: https://mmflow.readthedocs.io/en/latest/
- Size: 21.7 MB
Statistics
- Stars: 1,032
- Watchers: 6
- Forks: 117
- Open Issues: 39
- Releases: 10
Topics
Metadata Files
README.md
Introduction
MMFlow is an open source optical flow toolbox based on PyTorch. It is a part of the OpenMMLab project.
The master branch works with PyTorch 1.5+.
Major features
- The First Unified Framework for Optical Flow
MMFlow is the first toolbox that provides a framework for unified implementation and evaluation of optical flow algorithms.
- Flexible and Modular Design
We decompose the flow estimation framework into different components, which makes it much easy and flexible to build a new model by combining different modules.
- Plenty of Algorithms and Datasets Out of the Box
The toolbox directly supports popular and contemporary optical flow models, e.g. FlowNet, PWC-Net, RAFT, etc, and representative datasets, FlyingChairs, FlyingThings3D, Sintel, KITTI, etc.
What's New
v0.5.2 was released in 01/10/2023:
- Add flow1d attention
Please refer to changelog.md for details and release history.
Installation
Please refer to install.md for installation and guidance in dataset_prepare for dataset preparation.
Get Started
If you're new of optical flow, you can start with learn the basics. If you’re familiar with it, check out getting_started to try out MMFlow.
Refer to the below tutorials to dive deeper:
Benchmark and model zoo
Results and models are available in the model zoo.
Supported methods:
- [x] FlowNet (ICCV'2015)
- [x] FlowNet2 (CVPR'2017)
- [x] PWC-Net (CVPR'2018)
- [x] LiteFlowNet (CVPR'2018)
- [x] LiteFlowNet2 (TPAMI'2020)
- [x] IRR (CVPR'2019)
- [x] MaskFlownet (CVPR'2020)
- [x] RAFT (ECCV'2020)
- [x] GMA (ICCV' 2021)
Contributing
We appreciate all contributions improving MMFlow. Please refer to CONTRIBUTING.md in MMCV for more details about the contributing guideline.
Acknowledgement
MMFlow is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new flow algorithm.
Citation
If you use this toolbox or benchmark in your research, please cite this project.
BibTeX
@misc{2021mmflow,
title={{MMFlow}: OpenMMLab Optical Flow Toolbox and Benchmark},
author={MMFlow Contributors},
howpublished = {\url{https://github.com/open-mmlab/mmflow}},
year={2021}
}
License
This project is released under the Apache 2.0 license.
Projects in OpenMMLab
- MMCV: OpenMMLab foundational library for computer vision.
- MIM: MIM installs OpenMMLab packages.
- MMClassification: OpenMMLab image classification toolbox and benchmark.
- MMDetection: OpenMMLab detection toolbox and benchmark.
- MMDetection3D: OpenMMLab's next-generation platform for general 3D object detection.
- MMRotate: OpenMMLab rotated object detection toolbox and benchmark.
- MMSegmentation: OpenMMLab semantic segmentation toolbox and benchmark.
- MMOCR: OpenMMLab text detection, recognition, and understanding toolbox.
- MMPose: OpenMMLab pose estimation toolbox and benchmark.
- MMHuman3D: OpenMMLab 3D human parametric model toolbox and benchmark.
- MMSelfSup: OpenMMLab self-supervised learning toolbox and benchmark.
- MMRazor: OpenMMLab model compression toolbox and benchmark.
- MMFewShot: OpenMMLab fewshot learning toolbox and benchmark.
- MMAction2: OpenMMLab's next-generation action understanding toolbox and benchmark.
- MMTracking: OpenMMLab video perception toolbox and benchmark.
- MMFlow: OpenMMLab optical flow toolbox and benchmark.
- MMEditing: OpenMMLab image and video editing toolbox.
- MMGeneration: OpenMMLab image and video generative models toolbox.
- MMDeploy: OpenMMLab Model Deployment Framework.
Owner
- Name: OpenMMLab
- Login: open-mmlab
- Kind: organization
- Location: China
- Website: https://openmmlab.com
- Twitter: OpenMMLab
- Repositories: 53
- Profile: https://github.com/open-mmlab
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - name: "MMFlow Contributors" title: "MMFlow: OpenMMLab Optical Flow Toolbox and Benchmark" date-released: 2021-11-16 url: "https://github.com/open-mmlab/mmflow" license: Apache-2.0
GitHub Events
Total
- Watch event: 68
- Issue comment event: 2
- Fork event: 5
Last Year
- Watch event: 68
- Issue comment event: 2
- Fork event: 5
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Miao Zheng | 7****g | 109 |
| Zachary-66 | 5****6 | 9 |
| Zaida Zhou | 5****a | 5 |
| Hao Luo | 1****1 | 2 |
| 碼農 | s****8@g****m | 1 |
| salvatorestarace | 5****h | 1 |
| lyq10085 | 5****5 | 1 |
| Zekun Li | 4****t | 1 |
| Tong Gao | g****o@g****m | 1 |
| Sheffield | 4****o | 1 |
| HiiiXinyiii | 6****v | 1 |
| Fc-idris | 7****s | 1 |
| gxiaotian | g****n@o****m | 1 |
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 36
- Total pull requests: 85
- Average time to close issues: 29 days
- Average time to close pull requests: 3 days
- Total issue authors: 26
- Total pull request authors: 14
- Average comments per issue: 1.81
- Average comments per pull request: 0.62
- Merged pull requests: 70
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 1.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- pedroHuang123 (7)
- Salvatore-tech (4)
- hoseinCode (2)
- pknmax (1)
- luis2r (1)
- JamesYang-7 (1)
- wojiaohumaocheng (1)
- Jockey721 (1)
- JLMarta (1)
- zhujilin1995 (1)
- DelinQu (1)
- pekopoke (1)
- leiwen83 (1)
- nihalgupta84 (1)
- Bilybill (1)
Pull Request Authors
- Zachary-66 (38)
- MeowZheng (29)
- pedroHuang123 (4)
- Fc-idris (3)
- Salvatore-tech (2)
- tctco (2)
- crazysteeaam (1)
- ice-tong (1)
- lhao0301 (1)
- Weepingchestnut (1)
- HiiiXinyiii (1)
- xiexinch (1)
- gxiaotian (1)
- forkbabu (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- pypi 139 last-month
- Total docker downloads: 191
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 19
- Total maintainers: 1
proxy.golang.org: github.com/open-mmlab/mmflow
- Documentation: https://pkg.go.dev/github.com/open-mmlab/mmflow#section-documentation
- License: apache-2.0
-
Latest release: v0.5.2
published about 3 years ago
Rankings
pypi.org: mmflow
OpenMMLab Optical flow Toolbox and Benchmark
- Homepage: https://github.com/open-mmlab/mmflow
- Documentation: https://mmflow.readthedocs.io/
- License: Apache License 2.0
-
Latest release: 0.5.2
published about 3 years ago
Rankings
Maintainers (1)
Dependencies
- numpy *
- docutils ==0.16.0
- myst-parser *
- sphinx ==4.0.2
- sphinx-copybutton *
- sphinx_markdown_tables *
- sphinx_rtd_theme ==0.5.2
- mmcv-full >=1.3.15,<1.7.0
- scipy *
- sklearn *
- mmcv *
- torch *
- torchvision *
- matplotlib *
- numpy *
- six *
- asynctest * test
- codecov * test
- coverage * test
- flake8 * test
- interrogate * test
- kwarray * test
- matplotlib * test
- pytest * test
- ubelt * test
- xdoctest >=0.10.0 test
- yapf * test
- actions/checkout v2 composite
- actions/setup-python v2 composite
- codecov/codecov-action v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v1 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build