Readme
**InSPyReNet – Find What Matters in High-Resolution Images** InSPyReNet is a smart tool that helps you detect and highlight the most important parts of an image, even in very high quality. It’s designed to give great results without needing expensive or complex training data. Instead of relying on large datasets, it uses a clever method that compares low- and high-quality versions of an image to create clear and accurate highlights.
You can try it out easily through a web demo, use it in your own projects with a Python API, or run it from your computer using a simple command-line tool.
**✅ Key Features** **Works with High-Resolution Images:** Produces sharp, detailed object highlights.
**No Special Training Data Needed:** Performs well without needing custom or high-res training sets.
**Multiple Ways to Use:** Available as a web app, Python library, and command-line tool.
**Fast and Accurate:** Uses modern deep learning for great performance.
**Extra Tools and Demos:** Includes a demo for lane detection in driving videos and more.
**🎯 Use Cases** **Photo and Video Editing:** Remove backgrounds or highlight subjects easily.
**Driving and Road Scenes:** Spot and track lane markings or key areas in real-time.
**Creative Projects:** Focus attention on people or objects in high-quality media.
**Research and Prototyping:** Quickly test and build tools that need object detection.
**⚠️ Things to Keep in Mind** **Best with a Good GPU:** It runs much faster and smoother with a graphics card.
**Large Images Use More Memory:** Be aware if working with very big files.
**Tech Skills Optional:** Web demo is easy to try, but using the code or API may need some basic Python knowledge.