solov2

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

SimpleAICV:pytorch training and testing examples.

Pytorch and ncnn implementation of PPYOLOE、YOLOX、PPYOLO、PPYOLOv2、PicoDet and so on.

🚀 Do not need libtorch, pure C++ TensorRT deploys SOLOv2 etc, which can be quickly ported to NX/TX2.

TensorRT for SOLO(use python)

This project hosts the code for implementing the SOLOv2 algorithms based on the official project(https://github.com/WXinlong/SOLO). Due to the inheritance designation, it enables developers as well as researchers to integrate into our projects more easily and elegantly.

Converter of SOLOv2 instance segmentation model based on mmdetection codebase

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

Dynamic SOLO with TensorFlow2

SOLOv2 Instance segmentation model in tensorflow

Modification to the state-of-the-art EfficientPS model by replacing its instance head (Mask-RCNN) with SOLOv2, making it a location based-panoptic segmentation model

Image editing using SOLOv2 instance maps. Project at SHI Lab.

Modified state-of-the-art EfficientPS model by replacing the instance head (Mask-RCNN) with SOLOv2, making it a location based-panoptic segmentation model.