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Name: Qiang Liu
Type: User
Name: Qiang Liu
Type: User
tianchi
2021 年,计算机视觉相关综述。包括目标检测、跟踪........
从2019年4月起完成的各种人工智能相关工程
基于4种轻量级深度卷积网络的无场景约束全自动车牌识别,轻量级车牌检测,轻量级车牌识别,pyqt5可视化界面
Examples shown in Bilibili Live 346623
Contents for data mining course
纯C语言实现的一个按键驱动,可移植性强,支持单双击、连按、连按释放、长按;采用回调处理按键事件(自定义消抖时间),使用只需3步,1:创建按键,2:按键事件与回调处理函数链接映射。然后周期检查按键。
C语言
C语言程序设计
:zap: Caffe real-time data augmentation on-the-fly!!
2018.9.15测试OK
可基于摄像头实时监控或录制的视频或静态图片进行行人检测(lffd)/跟踪(deep sort)和行人重识别(reid)。
汽车美女图像分类识别
AI技术模块
This repository contains code for the tracking system as described in ''Combined Image- and World-Space Tracking in Traffic Scenes'', ICRA 2017.
C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition
这是Corel5K图像集,共包含科雷尔(Corel)公司收集整理的5000幅图片,故名:Corel5K,童鞋们可用于科学图像实验:分类、检索等。Corel5k数据集是图像实验的事实标准数据集。请勿用于商业用途。私底下学习交流使用。 Corel图像库是科雷尔(Corel)公司收集整理的较为丰富的图像库涵盖多个主题。Corel图像库由若干个CD组成,每个CD包含100张大小相等的图像,可以转换成多种格式。每张CD代表一个语义主题,例如有公共汽车、恐龙、海滩等。 Corel5k自从被提出用于图像标注实验后,已经成为图像实验的标准数据集,被广泛应用于标注算法性能的比较。Corel5k由50张CD组成,包含50个语义主题。 Corel5k图像库通常被分成三个部分: 4000张图像作为训练集,500张图像作为验证集用来估计模型参数,其余500张作为测试集评价算法性能。使用验证集寻找到最优模型参数后4000张训练集和500张验证集混合起来组成新的训练集。 该图像库中的每张图片被标注1~5个标注词,训练集中总共有374个标注词,在测试集中总共使用了263个标注词。 童鞋们自己去提取相关低层视觉特征:Rgb Lab Hsv Sift Gist HOG等等。 童鞋们完成 svm knn adaboost 逻辑回归 随机森林 mimlsvm mimlknn mimlboost 自定义算法 等等多类与多标签实验吧。Go, ...
Deep Cosine Metric Learning for Person Re-identification
吴恩达老师的机器学习课程个人笔记
pytorch implementation of crnn. A sample training of license plate is provided.
Cross-Modality Person Re-Identification (Visible Thermal Re-ID)叶芒第一版
Cross-Modality Person Re-Identification (Visible Thermal Re-ID)叶芒老版
Pytorch Code for Cross-Modality Person Re-Identification
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理
[pytorch] DANet: Dual Attention Network for Scene Segmentation
imgaug--Bounding Boxes augment
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.