Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Robust Human Matting via Semantic Guidance, ACCV 2022.

AI-Powered Photo Editor (Python, PyQt6, PyTorch)

Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object Recognition, Face Detection, Face Comparison, Human Image Segmentation, Human Attribute Recognition, Pornography Detection, Image Super Resolution, Text Similarity, Car License Plate, etc.

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

SelfieSegmentationBarracuda is a human segmentation neural network that runs the Mediapipe Selfie Segmentation on the Unity Barracuda.

VirtualBackgroundCamera is a virtual camera application that allows you to use a virtual background in any applications.

Robust Video Matting for high-fidelity human segmentation in Unity Engine.

Human segmentation project(pytorch)

This is a web project about auto-matting with deep learning tech, which can be used in image merge, poster generate, video editing etc.

使用ONNXRuntime部署百度PaddleSeg发布的实时人像抠图模型PP-MattingV2，一共包含18个onnx模型，依然是包含C++和Python两个版本的程序

Human body part segmentation model, trained with 22 class labels.

Part Grouping Network (PGN) implementation in TensorFlow, for custom parsing dataset

U-2-NetのPythonでのONNX推論サンプル

Unity project of webcam human segmentation streaming to NDI.

A learning-based data collection tool for human segmentation

Robust Human Matting via Semantic Guidance, ACCV 2022.

Modemation is a 3D graphics project that aims to facilitate the creation of assets used in game development, and short films.

This dataset, featuring an even distribution across genders and ages from various countries, is ideal for applications requiring detailed analysis of human postures, hairstyles, and different scenarios. With fine labeling of 19 human body areas, it facilitates advanced semantic segmentation tasks.