Henry (clw5180)

clw5180

Geek Repo

Company:AtHome

Location:China, Beijing

Home Page:https://www.kaggle.com/clwwlc

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Henry's repositories

Yolov6-Sort

Using Yolov6-nano to detect tennis ball and apply sort algorithm to track the ball in real-time

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360-Surround-View-CUDA-Project

10000 fps 🚀 for 360 Surround-View CUDA Solution

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Awesome-RGBT-Fusion

A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian, RGB-T Vehicle Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.

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bevdet-tensorrt-cpp

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

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car_tracking

detection and tracking car using yolov6

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cvmart-yolov5

极市平台打榜使用的yolov5模板

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edgeai-yolox

YOLOX-ti-lite models are optimized for deployment on TI edge processors

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GameplayAbilitySystem_Aura

Online repo for Gameplay Ability System Course

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kaggle-hubmap-hacking-the-human-vasculature

Solution of Kaggle competition: HuBMAP - Hacking the Human Vasculature

License:Apache-2.0Stargazers:0Issues:0Issues:0

mmdetection_MOD

This is a multi-class object detection project with keypoint estimation implemented under the mmdetection framework using the YOLOX model.

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OpenOccupancy

OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

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PETR

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

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Rethinking_of_PAR

Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline for pedestrian attribute recognition and multi-label classification.

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StrongSORT-YOLO

Real-time multi-camera multi-object tracker using (YOLOv5, YOLOv7,YOLOv8) and StrongSORT with OSNet

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SurroundOcc

[arxiv 2023] Multi-camera 3D Occupancy Prediction for Autonomous Driving

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The-Eyes-Have-It

An intuitive approach for 3D Occupancy Detection

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TopoNet

Topology Reasoning for Scene Perception in Autonomous Driving

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yolo_tracking

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

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YOLOv5_ByteTrack_Multithreading_TensorRT

Multi-thread tracking of YOLOv5 and ByteTrack implemented by C++, accelerated by TensorRT. YOLOv5 和 ByteTrack 的多线程追踪 C++ 实现, 使用 TensorRT 进行推理加速

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yolov5_Deepsort_rknn

Track vehicles and persons on rk3588 / rk3399pro.

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YOLOv6_pro

Make it easier for yolov6 to change the network structure

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yolov7-object-tracking

YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking

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Yolov7-tracker

Yolo v5, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in your own projects.

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YOLOv8-DeepSORT-Object-Tracking

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

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yolov8-object-tracking

YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics

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