Image Matching WebUI (IMCUI) efficiently matches image pairs using multiple famous image matching algorithms. The tool features a Graphical User Interface (GUI) designed using gradio. 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

Here is a demo of the tool:

The tool currently supports various popular image matching algorithms, namely:

Just try it on

or deploy it locally following the instructions below.

• Python 3.9+

Update: now support install from pip, just run:

pip install imcui

git clone --recursive https://github.com/Vincentqyw/image-matching-webui.git
cd image-matching-webui
conda env create -f environment.yaml
conda activate imw
pip install -e .

or using docker:

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

Deploy to Railway, setting up a Custom Start Command in Deploy section:

python -m imcui.api.server

python app.py --config ./config/config.yaml

then open http://localhost:7860 in your browser.

I provide an example to add local feature in imcui/hloc/extractors/example.py. Then add feature settings in confs in file imcui/hloc/extract_features.py. Last step is adding some settings to matcher_zoo in file imcui/ui/config.yaml.

IMCUI hosts all models on Huggingface. You can upload your model to Huggingface and add it to the Realcat/imcui_checkpoints repository.

External contributions are very much welcome. Please follow the PEP8 style guidelines using a linter like flake8. This is a non-exhaustive list of features that might be valuable additions:

• support pip install command
• add CPU CI
• add webcam support
• add line feature matching algorithms
• example to add a new feature extractor / matcher
• ransac to filter outliers
• add rotation images options before matching
• support export matches to colmap (#issue 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:

git submodule add https://github.com/cvg/GlueStick.git imcui/third_party/GlueStick

If remote submodule repositories are updated, don't forget to pull submodules with:

git submodule update --init --recursive  # init and download
git submodule update --remote  # update

if you only want to update one submodule, use git submodule update --remote imcui/third_party/GlueStick.

To format code before committing, run:

pre-commit run -a  # Auto-checks and fixes

• Image Matching: Local Features & Beyond
• Long-term Visual Localization

This code is built based on Hierarchical-Localization. We express our gratitude to the authors for their valuable source code.