Identify matching points between two images

Description

This simple tool efficiently matches image pairs using various popular image matching algorithms. It features a Graphical User Interface (GUI) designed with gradio. You can effortlessly select two images and a matching algorithm to obtain precise matching results. Images can be sourced either locally or from your webcam.

How to Use

To get started with image matching, there are two primary options: you can either use it on Hugging Face or with Lightning AI, or you can deploy it locally. Here’s how:

• **Using HuggingFace or Lightning AI:** Simply follow the links provided to access the platform’s functionality.
• **Deploy Locally:** Follow these instructions:
  • Open your terminal and run:

  bash
  git clone --recursive https://github.com/Vincentqyw/image-matching-webui.git
  cd image-matching-webui
  conda env create -f environment.yaml
  conda activate im
  

  • For Docker users, use:

  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
  

  • Once set up, run the following command to start the app:

  bash
  python3 app.py
  

  • Open http://localhost:7860 in your browser to use the tool!

Understanding Image Matching Algorithms

Imagine you are trying to find a pair of shoes in an enormous warehouse. Each shoe is unique, featuring different patterns, colors, and designs. Similarly, in image processing, matching algorithms discern similar patterns between two given images to identify matching points. They act as your personal assistant in the warehouse, scanning through all available shoes and bringing you those that match your criteria.

Simplifying the Process

Additionally, you can add your own feature matcher by providing examples in hlocextractorsexample.py, updating your feature settings in hlocextract_features.py, and adding relevant configurations in uiconfig.yaml.

Troubleshooting

Common Issues and Solutions

• Issue: Application fails to launch.
• Solution: Ensure Docker is running correctly and that the necessary ports are open.
• Issue: Images are not loading or incompatible.
• Solution: Verify that the images are of supported formats (such as JPG or PNG) and try again.
• Issue: Errors while executing commands.
• Solution: Double-check the command syntax and ensure that all required dependencies are installed properly.
• Issue: Performance issues or slow processing.
• Solution: Ensure your system meets the required specifications and consider running the application without any other resource-intensive processes.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Contributions Welcome!

External contributions are very much welcome. Please follow the PEP8 style guidelines and use a linter like flake8 for adhering to formatting standards. There are numerous features that could enhance the tool.

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.