A simple, fully convolutional model for real-time instance segmentation.

SimpleAICV:pytorch training and testing examples.

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

YOLACT: Real-time Instance Segmentation on the FCOS detector (without bbox cropping), achives 35.2mAP on coco val

使用opencv部署yolact实例分割，包含C++和Python两种版本的程序

🔥 🔥 🔥Train Your Own DataSet for YOLACT and YOLACT++ Instance Segmentation Model!!!

ROS wrapper for yolact instance segmentation

Provides a conversion flow for YOLACT_Edge to models compatible with ONNX, TensorRT, OpenVINO and Myriad (OAK). My own implementation of post-processing allows for e2e inference. Support for Multi-Class NonMaximumSuppression, CombinedNonMaxSuppression.

ROS wrapper for yolact instance segmentation with depth image extension for 3D bounding boxes and pointcloud segmentation

Used Yolact++ to implement social distance monitoring.

YOLACT execution with TensorRT

Real time person extraction with utmost accuracy

This is an implementation of an adaptive cruise control system based on a computer vision pipeline. This work is based on YOLACT, a State-Of-The-Art real-time instance segmentation network. You're welcome to test and try our code, we hope you'll enjoy this work!

A lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look At CoefficienTs)

可以直接用于mmdetection的Mask RCNN、SOLOv2、YOLACT模型输出json文件的可视化

Code and docker files for the yolact framework.

Portable YOLACT Edge python package

Clasificador de cómo se usa un cubrebocas. Desarrollado con Yolact

This project provides an HMI for hand segmentation. It runs the YOLACT Neural Network on Image and Video Files, and on Webcam flows.