Spaces:

---

Realcat

/

image-matching-webui

like 140

Running on Zero

Dear Hugging Face Team,

I'm applying for a GPU grant for Image Matching WebUI, the first Gradio-based interface for image feature matching algorithms.

Project Overview
This open-source project (github.com) provides researchers and developers with an intuitive platform to experiment with various state-of-the-art image matching algorithms. Its modular design allows easy integration of new open-source feature matching methods, making advanced computer vision techniques accessible to everyone.

Current Challenge
The Space currently runs on CPU, causing significant performance issues:

• Slow inference speeds (30-60 seconds per match)
• High latency affecting user experience
• Limited capability for high-resolution images
• User frustration leading to abandonment

GPU Request & Impact
GPU resources would enable:

• 10-50x faster inference
• Real-time matching demonstrations
• Support for more concurrent users
• Enhanced educational value for students and researchers

Why This Matters
As the first image matching Gradio WebUI, this tool fills a crucial gap in the computer vision ecosystem. It serves both as a research platform for algorithm comparison and an educational resource for newcomers to the field.

Commitment
If granted GPU access, I will:

• Optimize code for GPU efficiency
• Maintain regular updates
• Continue integrating new algorithms
• Provide comprehensive documentation

This grant would transform a useful but slow tool into a responsive, production-ready platform that showcases Hugging Face's support for innovative computer vision applications.

Thank you for your consideration.

Best regards,
Vincent Qin