Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
翻译 - Detectron2是FAIR的下一代对象检测和分割平台。
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
翻译 - FAIR的对象检测研究平台，实现了Mask R-CNN和RetinaNet等流行算法。
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Cascade R-CNN in Detectron
Detectorch - detectron for PyTorch
[CVPR 2020] VoVNet backbone networks for detectron2
detectron2 windows build
detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
翻译 - ICCV2019论文代码“ InstaBoost：通过概率图引导复制粘贴来增强实例细分”
Experiment results of implement Cascade RCNN under Detectron
This project is about estimating 3D human pose from customized 2D video, whose 2D keypoints are provided by detectron2 rather than detectron.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoenco...