Pinned Repositories
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停车场系统源码，停车场小程序，智能停车，Parking system，【功能介绍】：①兼容市面上主流的多家相机，理论上兼容所有硬件，可灵活扩展，②相机识别后数据自动上传到云端并记录，校验相机唯一id和硬件序列号，防止非法数据录入，③用户手机查询停车记录详情可自主缴费(支持微信，支付宝，银行接口支付，支持每个停车场指定不同的商户进行收款)，支付后出场在免费时间内会自动抬杆。④支持app上查询附近停车场(导航，可用车位数，停车场费用，优惠券，评分，评论等)，可预约车位。⑤断电断网支持岗亭人员使用app可接管硬件进行停车记录的录入。 【技术架构】：后端开发语言java，框架oauth2+springboot2+dubble，数据库mysql/mongodb/redis，即时通讯底层框架netty4，安卓和ios均为原生开发，后台管理模板vue专业定制
2019_algorithm_intern_information
2020年的算法实习岗位/校招公司信息表，部分包括内推码，和常见深度学习算法岗面试题及答案，暑期计算机视觉实习面经和总结
2020_reference
2020年的白皮书，报告等
_Linux-OS-Network_
系统编程：Makefile的编写、进程线程区别以及控制、生产者消费者模型、System V标准和POSIX标准中的IPC间通信、简单Shell脚本的编写；网络编程：基于TCP/UDP的客户端/服务器、socket、高级I/O、select/poll/epoll、Http协议
Awesome-Pruning
A curated list of neural network pruning resources.
MobileNetv2-YOLOV3
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops500KB:fire::fire::fire:
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
yolo2coco
YOLO格式转为COCO格式。Convert data format from YOLO format to coco format
yolo_series_deepsort_pytorch
Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).
yolov7_deepsort_tensorrt
MOT using deepsort and yolov7 with c++. It also supports yolov5 as a detector.
xuarehere's Repositories
xuarehere/yolo_series_deepsort_pytorch
Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).
xuarehere/yolov7_deepsort_tensorrt
MOT using deepsort and yolov7 with c++. It also supports yolov5 as a detector.
xuarehere/yolo2coco
YOLO格式转为COCO格式。Convert data format from YOLO format to coco format
xuarehere/awesome-shell
A curated list of awesome Shell frameworks, libraries and software.
xuarehere/cmake-examples
Useful CMake Examples
xuarehere/DataStructure
数据结构与算法代码，如leetcode、剑指offer
xuarehere/deep_sort_pytorch
MOT tracking using deepsort and yolov3 with pytorch
xuarehere/Det3D
A general 3D object detection codebse.
xuarehere/ExportMD-rectify-pics
语雀知识库自动导出为 Markdown 格式
xuarehere/flask_tutorial
xuarehere/interview-1
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
xuarehere/LeNet-5
PyTorch implementation of LeNet-5 with live visualization
xuarehere/License-Plate-Detector
基于Yolov5车牌检测,更快更准.
xuarehere/mobile-yolov5-pruning-distillation-fork
mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！
xuarehere/nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
xuarehere/OpenPCDet-1
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
xuarehere/pointpillars_pytorch_trt-1
xuarehere/Python
Demo and other Python3 code
xuarehere/SOS4NLP
Survey of Surveys for Natural Language Processing (SOS4NLP)
xuarehere/SummaryOfLoanSuspension
全国各省市停贷通知汇总
xuarehere/tensorrt_demos
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
xuarehere/torch2trt_dynamic
A pytorch to tensorrt convert with dynamic shape support
xuarehere/typora
Recording the learning notes with Typora tools
xuarehere/yolo-tensorrt
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
xuarehere/yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
xuarehere/yolov5-1
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
xuarehere/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~
xuarehere/Yolov5_DeepSort_OSNet
Real-time multi-camera multi-object tracker using YOLOv5 and Deep SORT with OSNet
xuarehere/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
xuarehere/YOLOv8-fork
:fire: Official YOLOv8模型训练和部署