WangShengwei's repositories

Python-Course-MNIST

python课程的作业-数字识别

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bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

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DroneTask

Repo for Multi-Categories-MOT task in VisDrone2021 dataset.

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GTR

Global Tracking Transformers, CVPR 2022

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wsw321.github.io

wsw321的个人主页

BasesHomo

The official PyTorch implementation of the paper "Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection".

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BoT-SORT

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

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Comparison

Compare performances of algorithms on Objcet Tracking Benchmarks (SOT/MOT...)

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CP-template

C++ template files for competitive programming

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Cplusplus-Concurrency-In-Practice

A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》

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CPlusPlusThings

C++那些事

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

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CVPR2022-Paper-Code-Interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理

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deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

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Linux-based-ChatGPT-chat-server

基于Linux的ChatGPT聊天服务器

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MOTRv2

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

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mystl

This is a simple c++standard library

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PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

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Skiplist-CPP

A tiny KV storage based on skiplist written in C++ language| 使用C++开发,基于跳表实现的轻量级键值数据库🔥🔥 🚀

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SOTS

Single object tracking and segmentation.

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StrongSORT

StrongSORT: Make DeepSORT Great Again

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TrackEval

HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).

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translating-images-into-maps

Official PyTorch code for 'Translating Images Into Maps' ICRA 2022

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UniTrack

[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).

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unsupervised-deep-homography

PyTorch implementation of Unsupervised Deep Homography: https://arxiv.org/abs/1709.03966

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VISAM

Combining "segment-anything" with MOT, it create the era of "MOTS"

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WebServer-1

A C++ High Performance Web Server

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webserver_study

:fire: Linux轻量级Web务器开发

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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