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| title: Image Matching Webui | |
| emoji: 🤗 | |
| colorFrom: red | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version: 3.33.1 | |
| app_file: app.py | |
| pinned: true | |
| license: mit | |
| [![Contributors][contributors-shield]][contributors-url] | |
| [![Forks][forks-shield]][forks-url] | |
| [![Stargazers][stars-shield]][stars-url] | |
| [![Issues][issues-shield]][issues-url] | |
| <p align="center"> | |
| <h1 align="center"><br><ins>Image Matching WebUI</ins><br>Identify matching points between two images</h1> | |
| </p> | |
| ## Description | |
| This simple tool efficiently matches image pairs using multiple famous image matching algorithms. The tool features a Graphical User Interface (GUI) designed using [gradio](https://gradio.app/). You can effortlessly select two images and a matching algorithm and obtain a precise matching result. | |
| **Note**: the images source can be either local images or webcam images. | |
| Try it on <a href='https://huggingface.co/spaces/Realcat/image-matching-webui'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue'></a> | |
| <a target="_blank" href="https://lightning.ai/realcat/studios/image-matching-webui"> | |
| <img src="https://pl-bolts-doc-images.s3.us-east-2.amazonaws.com/app-2/studio-badge.svg" alt="Open In Studio"/> | |
| </a> | |
| Here is a demo of the tool: | |
|  | |
| The tool currently supports various popular image matching algorithms, namely: | |
| - [x] [XFeat](https://github.com/verlab/accelerated_features), CVPR 2024 | |
| - [x] [RoMa](https://github.com/Vincentqyw/RoMa), CVPR 2024 | |
| - [x] [DeDoDe](https://github.com/Parskatt/DeDoDe), 3DV 2024 | |
| - [ ] [Mickey](https://github.com/nianticlabs/mickey), CVPR 2024 | |
| - [ ] [GIM](https://github.com/xuelunshen/gim), ICLR 2024 | |
| - [x] [LightGlue](https://github.com/cvg/LightGlue), ICCV 2023 | |
| - [x] [DarkFeat](https://github.com/THU-LYJ-Lab/DarkFeat), AAAI 2023 | |
| - [ ] [ASTR](https://github.com/ASTR2023/ASTR), CVPR 2023 | |
| - [ ] [SEM](https://github.com/SEM2023/SEM), CVPR 2023 | |
| - [ ] [DeepLSD](https://github.com/cvg/DeepLSD), CVPR 2023 | |
| - [x] [GlueStick](https://github.com/cvg/GlueStick), ArXiv 2023 | |
| - [ ] [ConvMatch](https://github.com/SuhZhang/ConvMatch), AAAI 2023 | |
| - [x] [SOLD2](https://github.com/cvg/SOLD2), CVPR 2021 | |
| - [ ] [LineTR](https://github.com/yosungho/LineTR), RA-L 2021 | |
| - [x] [DKM](https://github.com/Parskatt/DKM), CVPR 2023 | |
| - [ ] [NCMNet](https://github.com/xinliu29/NCMNet), CVPR 2023 | |
| - [x] [TopicFM](https://github.com/Vincentqyw/TopicFM), AAAI 2023 | |
| - [x] [AspanFormer](https://github.com/Vincentqyw/ml-aspanformer), ECCV 2022 | |
| - [x] [LANet](https://github.com/wangch-g/lanet), ACCV 2022 | |
| - [ ] [LISRD](https://github.com/rpautrat/LISRD), ECCV 2022 | |
| - [ ] [REKD](https://github.com/bluedream1121/REKD), CVPR 2022 | |
| - [x] [ALIKE](https://github.com/Shiaoming/ALIKE), ArXiv 2022 | |
| - [x] [RoRD](https://github.com/UditSinghParihar/RoRD), IROS 2021 | |
| - [x] [SGMNet](https://github.com/vdvchen/SGMNet), ICCV 2021 | |
| - [x] [SuperPoint](https://github.com/magicleap/SuperPointPretrainedNetwork), CVPRW 2018 | |
| - [x] [SuperGlue](https://github.com/magicleap/SuperGluePretrainedNetwork), CVPR 2020 | |
| - [x] [D2Net](https://github.com/Vincentqyw/d2-net), CVPR 2019 | |
| - [x] [R2D2](https://github.com/naver/r2d2), NeurIPS 2019 | |
| - [x] [DISK](https://github.com/cvlab-epfl/disk), NeurIPS 2020 | |
| - [ ] [Key.Net](https://github.com/axelBarroso/Key.Net), ICCV 2019 | |
| - [ ] [OANet](https://github.com/zjhthu/OANet), ICCV 2019 | |
| - [ ] [SOSNet](https://github.com/scape-research/SOSNet), CVPR 2019 | |
| - [x] [SIFT](https://docs.opencv.org/4.x/da/df5/tutorial_py_sift_intro.html), IJCV 2004 | |
| ## How to use | |
| ### HuggingFace / Lightning AI | |
| Just try it on <a href='https://huggingface.co/spaces/Realcat/image-matching-webui'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue'></a> | |
| <a target="_blank" href="https://lightning.ai/realcat/studios/image-matching-webui"> | |
| <img src="https://pl-bolts-doc-images.s3.us-east-2.amazonaws.com/app-2/studio-badge.svg" alt="Open In Studio"/> | |
| </a> | |
| or deploy it locally following the instructions below. | |
| ### Requirements | |
| ``` bash | |
| git clone --recursive https://github.com/Vincentqyw/image-matching-webui.git | |
| cd image-matching-webui | |
| conda env create -f environment.yaml | |
| conda activate imw | |
| ``` | |
| or using [docker](https://hub.docker.com/r/vincentqin/image-matching-webui): | |
| ``` bash | |
| docker pull vincentqin/image-matching-webui:latest | |
| docker run -it -p 7860:7860 vincentqin/image-matching-webui:latest python app.py --server_name "0.0.0.0" --server_port=7860 | |
| ``` | |
| ### Run demo | |
| ``` bash | |
| python3 ./app.py | |
| ``` | |
| then open http://localhost:7860 in your browser. | |
|  | |
| ### Add your own feature / matcher | |
| I provide an example to add local feature in [hloc/extractors/example.py](hloc/extractors/example.py). Then add feature settings in `confs` in file [hloc/extract_features.py](hloc/extract_features.py). Last step is adding some settings to `model_zoo` in file [common/config.yaml](common/config.yaml). | |
| ## Contributions welcome! | |
| External contributions are very much welcome. Please follow the [PEP8 style guidelines](https://www.python.org/dev/peps/pep-0008/) using a linter like flake8 (reformat using command `python -m black .`). This is a non-exhaustive list of features that might be valuable additions: | |
| - [x] add webcam support | |
| - [x] add [line feature matching](https://github.com/Vincentqyw/LineSegmentsDetection) algorithms | |
| - [x] example to add a new feature extractor / matcher | |
| - [x] ransac to filter outliers | |
| - [ ] add [rotation images](https://github.com/pidahbus/deep-image-orientation-angle-detection) options before matching | |
| - [ ] support export matches to colmap ([#issue 6](https://github.com/Vincentqyw/image-matching-webui/issues/6)) | |
| - [ ] add config file to set default parameters | |
| - [ ] dynamically load models and reduce GPU overload | |
| Adding local features / matchers as submodules is very easy. For example, to add the [GlueStick](https://github.com/cvg/GlueStick): | |
| ``` bash | |
| git submodule add https://github.com/cvg/GlueStick.git third_party/GlueStick | |
| ``` | |
| If remote submodule repositories are updated, don't forget to pull submodules with `git submodule update --remote`, if you only want to update one submodule, use `git submodule update --remote third_party/GlueStick`. | |
| ## Resources | |
| - [Image Matching: Local Features & Beyond](https://image-matching-workshop.github.io) | |
| - [Long-term Visual Localization](https://www.visuallocalization.net) | |
| ## Acknowledgement | |
| This code is built based on [Hierarchical-Localization](https://github.com/cvg/Hierarchical-Localization). We express our gratitude to the authors for their valuable source code. | |
| [contributors-shield]: https://img.shields.io/github/contributors/Vincentqyw/image-matching-webui.svg?style=for-the-badge | |
| [contributors-url]: https://github.com/Vincentqyw/image-matching-webui/graphs/contributors | |
| [forks-shield]: https://img.shields.io/github/forks/Vincentqyw/image-matching-webui.svg?style=for-the-badge | |
| [forks-url]: https://github.com/Vincentqyw/image-matching-webui/network/members | |
| [stars-shield]: https://img.shields.io/github/stars/Vincentqyw/image-matching-webui.svg?style=for-the-badge | |
| [stars-url]: https://github.com/Vincentqyw/image-matching-webui/stargazers | |
| [issues-shield]: https://img.shields.io/github/issues/Vincentqyw/image-matching-webui.svg?style=for-the-badge | |
| [issues-url]: https://github.com/Vincentqyw/image-matching-webui/issues | |