AIpakchoi

yolov5_tensorrt

This is the implementation that supports yolov5s, yolov5m, yolov5l, yolov5x.

ultralytics

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

visualDet3D

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving

3D-Detection-Tracking-Viewer

3D detection and tracking viewer for kitti & waymo dataset

Alpha-IoU

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

AutoShape

ICCV2021 Paper: AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection

bevdet-tensorrt-cpp

BEVDet implemented by TensorRT, C++； Achieving real-time performance on Orin

Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

detr

End-to-End Object Detection with Transformers

HVDetFusion

This repository is an official implementation of HVDetFusion

M3DSSD

M3DSSD: Monocular 3D Single Stage Object Detector

monodle

Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021

MonoFlex

Released code for Objects are Different: Flexible Monocular 3D Object Detection, CVPR21

PETR

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection

PointPillars_MultiHead_40FPS

A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

SFA3D

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

StreamPETR

[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

TED

Transformation-Equivariant 3D Object Detection for Autonomous Driving

tensorrt_inference

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

vehicle_pseudo3D_detection

yoloair

🔥🔥🔥YOLOAir：Including YOLOv5, YOLOv7, Transformer, YOLOX, YOLOR and other networks... Support to improve backbone, head, loss, IoU, NMS...The original version was created based on YOLOv5

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

YOLOS

You Only Look at One Sequence (https://arxiv.org/abs/2106.00666)

YOLOv5-Lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

Yolov5_DeepSort_Pytorch

Real-time multi-person tracker using YOLO v5 and deep sort

yolov5_tensorrt-1

yolov5部署

yolox-pytorch

a Pytorch easy re-implement of "YOLOX: Exceeding YOLO Series in 2021"

YoloZ