一些关于目标检测的脚本的改进思路代码，详细请看readme.md

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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🔥🔥🔥 专注于YOLO改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

基于Yolov8+UCMCTrack/DeepSort+注意力机制的多目标跟踪系统 v1.0.3

多类别多目标跟踪YoloV5+sort/deepsort/bytetrack/BotSort/motdt

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

使用yolov5，双目摄像头进行测距

CenterNet v1 implement by pytorch. There are detailed comments in the code for learning

Object detection, 3D detection, and pose estimation using center point detection:

A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.

Implementation of Recurrent Neural Networks for future trajectory prediction of pedestrians.

Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022

单目2d和3d目标检测，bev可视化

This repository can be used to visualize objects of KITTI in camera image, point cloud and bird's eye view. It can be adapted to visualize objects in other point cloud datasets.

Simultaneous object detection and tracking using center points.

Estimating the vehicle pose using Sparse Optical Flow vectors filtered by Median Absolute Deviation Filter

Estimate the vehicle motion based on vision cue: optic flow and pose estimation

Code for my master thesis: Vehicle Detection and Pose Estimation for Autonomous Driving

Tracking and predicting the trajectory of an object (using a Kalman Filter) in 3d realtime using OpenCV and Python

some Python scripts to implement bezier curve fitting which can be used for trajectory prediction.

This is a tool which provides with the future trajectory of vehicles, shows their trajectories along with characteristics such as position, velocity and acceleration.The color detection is done usi…

[Apollo] This is the implementation of yolox3d second stage, a camera 3D object detection for autonomous driving perception.

Object detection using yolo and stereo cameras

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion

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