DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

This repo is implemented based on detectron2 and centernet

The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection

SimpleAICV:pytorch training and testing examples.

detector for rotated-object based on CenterNet/基于CenterNet的旋转目标检测

A Keras implementation of CenterNet with pre-trained model (unofficial)

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

基于CenterNet训练的目标检测&人脸对齐&姿态估计模型

Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt

CenterNet (Objects as Points) implementation in Keras and Tensorflow

Instance Segmentation based on CenterNet and CondInst

Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.

This is a C++ implementation of CenterNet using TensorRT and CUDA

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

centernet

Unofficial PyTorch implementation of the paper: "CenterNet3D: An Anchor free Object Detector for Autonomous Driving"

A tensorflow implement mobilenetv3 centernet, which can be easily deployeed on android(MNN) and ios(CoreML).

Implementation of CenterNet and FairMOT with PyTorch Lightning

Tracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)