Image Matching WebUI
Matching Keypoints between two images

Description

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:

imw.mp4

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

Algorithm	Supported	Conference/Journal	Year	GitHub Link
RIPE	✅	ICCV	2025	Link
RDD	✅	CVPR	2025	Link
LiftFeat	✅	ICRA	2025	Link
DaD	✅	ARXIV	2025	Link
MINIMA	✅	ARXIV	2024	Link
XoFTR	✅	CVPR	2024	Link
EfficientLoFTR	✅	CVPR	2024	Link
MASt3R	✅	CVPR	2024	Link
DUSt3R	✅	CVPR	2024	Link
OmniGlue	✅	CVPR	2024	Link
XFeat	✅	CVPR	2024	Link
RoMa	✅	CVPR	2024	Link
DeDoDe	✅	3DV	2024	Link
Mickey	❌	CVPR	2024	Link
GIM	✅	ICLR	2024	Link
ALIKED	✅	ICCV	2023	Link
LightGlue	✅	ICCV	2023	Link
DarkFeat	✅	AAAI	2023	Link
SFD2	✅	CVPR	2023	Link
IMP	✅	CVPR	2023	Link
ASTR	❌	CVPR	2023	Link
SEM	❌	CVPR	2023	Link
DeepLSD	❌	CVPR	2023	Link
GlueStick	✅	ICCV	2023	Link
ConvMatch	❌	AAAI	2023	Link
LoFTR	✅	CVPR	2021	Link
SOLD2	✅	CVPR	2021	Link
LineTR	❌	RA-L	2021	Link
DKM	✅	CVPR	2023	Link
NCMNet	❌	CVPR	2023	Link
TopicFM	✅	AAAI	2023	Link
AspanFormer	✅	ECCV	2022	Link
LANet	✅	ACCV	2022	Link
LISRD	❌	ECCV	2022	Link
REKD	❌	CVPR	2022	Link
CoTR	✅	ICCV	2021	Link
ALIKE	✅	TMM	2022	Link
RoRD	✅	IROS	2021	Link
SGMNet	✅	ICCV	2021	Link
SuperPoint	✅	CVPRW	2018	Link
SuperGlue	✅	CVPR	2020	Link
D2Net	✅	CVPR	2019	Link
R2D2	✅	NeurIPS	2019	Link
DISK	✅	NeurIPS	2020	Link
Key.Net	❌	ICCV	2019	Link
OANet	❌	ICCV	2019	Link
SOSNet	✅	CVPR	2019	Link
HardNet	✅	NeurIPS	2017	Link
SIFT	✅	IJCV	2004	Link

How to use

HuggingFace / Lightning AI

Just try it on

or deploy it locally following the instructions below.

Requirements

• Python 3.9+

Install from pip [NEW]

Update: now support install from pip, just run:

pip install imcui

Install from source

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

or using docker:

docker pull vincentqin/image-matching-webui:latest

# Start the WebUI service
docker-compose up webui

# Or run in the background
docker-compose up -d webui

More Docker Compose Commands (click to expand)

# Build and start the WebUI service
docker-compose up --build webui

# Check the status of the WebUI service
docker-compose ps webui

# View logs for the WebUI service
docker-compose logs webui
docker-compose logs -f webui  # Follow logs in real time

# Stop the WebUI service
docker-compose stop webui

# Restart the WebUI service
docker-compose restart webui

# Remove the WebUI service container
docker-compose rm webui

# Remove all containers
docker-compose down

Deploy to Railway

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

python -m imcui.api.server

Run demo

# Using the package CLI (recommended)
imcui

# Or using the direct script
python app.py

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

Command Line Interface

The imcui package provides a powerful command-line interface with various options:

Basic Usage

Basic Usage Commands (click to expand)

# Install the package
pip install imcui

# Run with default settings
imcui

# Run with verbose output
imcui --verbose

# Run on a specific port
imcui -p 7860

# Run on a specific host
imcui -s 127.0.0.1

# Help
imcui --help

Command Line Options

Basic Usage Commands (click to expand)

Option	Short	Default	Description
--server-name	-s	0.0.0.0	Hostname or IP address to bind the server to
--server-port	-p	7860	Port number to run the server on
--config	-c	Auto-detected	Path to custom configuration YAML file
--example-data-root	-d	imcui/datasets	Root directory containing example datasets
--verbose	-v	False	Enable verbose output for debugging
--version			Show version information and exit

Add your own feature / matcher

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 your configuration file.

Configuration file locations (in priority order):

1. Custom config file specified with --config parameter
2. config.yaml in current directory
3. config/config.yaml in current directory
4. Package default config (imcui/config/app.yaml)

Upload models

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

Contributions welcome!

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 remove a submodule, follow these steps:

More Remove Submodule Commands (click to expand)

git submodule deinit -f imcui/third_party/GlueStick
git rm -f imcui/third_party/GlueStick
rm -rf .git/modules/imcui/third_party/GlueStick
git add .gitmodules && \
git commit -m "Remove submodule imcui/third_party/dust3r"

To format code before committing, run:

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

Contributors

Resources

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

Acknowledgement

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