hpc203/virtual_try_on_use_deep_learning

使用深度学习算法实现虚拟试衣镜,结合了人体姿态估计、人体分割、几何匹配和GAN,四种模型。仅仅只依赖opencv库就能运行

40
/ 100
Emerging

This tool helps fashion retailers and shoppers visualize how clothes would look on a person without physically trying them on. You provide an image of a person and an image of an article of clothing, and it generates an image of that person wearing the selected clothing. It's ideal for anyone in e-commerce, fashion retail, or personal styling looking to enhance the online shopping experience or create virtual outfits.

267 stars. No commits in the last 6 months.

Use this if you want to offer customers a 'virtual try-on' experience for clothing using just images, without needing 3D models or complex setups.

Not ideal if you need real-time performance for a live mirror application or if you're looking for a C++ solution, as this currently only works reliably with Python.

virtual-fashion-try-on e-commerce-enhancement fashion-retail online-shopping-experience personal-styling
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 22 / 25

How are scores calculated?

Stars

267

Forks

61

Language

Python

License

Last pushed

Jan 19, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/hpc203/virtual_try_on_use_deep_learning"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.