Using modified BiSeNet for face parsing in PyTorch

Add bisenetv2. My implementation of BiSeNet

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

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Keras BiseNet architecture implementation

"Advanced Machine Learning" project @ Politecnico di Torino, a.y. 2021/2022.

A face semantic segmentation Flask app deployed in a docker container on GCP Container Registry and a Kubernetes Engine cluster.

This repository is the implementation of the "Bilateral Segmentation Network for Real-Time Semantic Segmentation" paper by Changqian Yu et al. which was published in ECCV 2018.

Automatic labeling tool for image segmentation based on detection-labeled dataset. Additionally provides the tools for fine tuning a smoke segmenter.

Image Segmentation Paper Review and Implementation

Real-time Domain Adapation in Semantic Segmentation project

BiSeNet for semantic segmentation task

Project for the Advanced Machine Learning course 23/24 - Politecnico di Torino

Project for "Advanced Machine Learning" course at PoliTO. The purpose is to implement a BiSeNet able to perform real-time semantic segmentation task