Real-time portrait segmentation for mobile devices
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Updated
Jan 17, 2021 - Jupyter Notebook
Real-time portrait segmentation for mobile devices
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
A collection of AWESOME things about image matting.
[ACM MM 2021] Privacy-Preserving Portrait Matting
EasyPortrait - Face Parsing and Portrait Segmentation Dataset
Code for Towards Real-Time Automatic Portrait Matting on Mobile Devices
Realtime, Accurate Background Changer, Portrait Segmentation, Portrait Matting, Background Removal for Android
Realtime Portrait Segmentation with Tflite and MediaPipe
A Zoom-like real-time virtual background app, made with Portrait segmentation and Google's MediaPipe
Real-time CPU person segmentation for privacy in video calls
EasyPortrait - Face Parsing and Portrait Segmentation Dataset
Real time portrait matting on mobile phone using MNN inference engine.
C++ project with openvino to optimize performance in intel x64 machine using google meet segment model (share memory to outapp processing realtime like zoom meeting)
Projects webpage
Deployment optimized fast person segmentation module in python and cpp
Portrait dataset for segmentation of humans
Our "Single-person Portrait Matting Dataset" is a pivotal resource for the fashion, media, and social media industries, providing finely labeled portrait images that capture a wide range of postures and hairstyles from various countries.
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