Use mobilenetv2 or xception model trained by tensorflow to realize the segmentation of people and background in the picture, and make the background transparent
Thanks for the amazing library!
I am looking to implement high-quality semantic segmentation on a mobile device for human cutout (full body).
What architecture/backbone would be a good choice for the task at hand? MobileNetV2, MobileNetV3, DeeplabV3+, ShuffleNet, PortraitNet, SINet.... There are so many, its confusing....
I wanted highest-acccuracy, rather than smallest or fastest
Can you point me towards some comparison metrics/benchmarks?
What is your suggestion?
Thanks
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
