淘宝爬虫示例，爬取前100页手机商家信息

说明：  DensePose用深度学习把2D图像坐标映射到3D人体表面上，再加上以每秒多帧的速度处理密集坐标，最后实现动态人物的精确定位和姿态估计。该技术集目标检测、姿态估计、目标部分/实例分割等多种计算机视觉任务于一身的一个综合问题。(DensePost maps 2D image coordinates to 3D human body surface by in-depth learning, and processes dense coordinates at the speed of multiple frames per second. Finally, it realizes precise positioning and attitude estimation of dynamic characters. This technology integrates many kinds of computer vision tasks, such as target detection, attitude estimation, target part/instance segmentation, etc.)

说明：  opencv人脸识别例程，平时自学时编写，可当作笔记使用，忘记时拿出来翻翻(Opencv face recognition routine, usually written in self-study, can be used as notes, and can be taken out and turned over when forgetting)

Python 学习爬虫初步知识，包含爬虫的基础架构，URL管理器，迭代，正则表达式的匹配等等，是初学者学习爬虫知识的良好基础结构。供大家学习交流。

说明：  基于unet的网络的语义分割希望大家喜欢(I hope you enjoy the semantic segmentation based on unet)

说明：  python语言，三种阈值分割方式，简单阈值分割，自适应阈值分割，OTsu分割方式(Python language, three methods of image segmentation , simple threshold segmentation, adaptive threshold segmentation, OTsu segmentation)

联邦学习实战代码

这是基于深度学习的图像检索和图像识别的代码资料(This resource is related with image retrieval with deep learning.)

说明：  Sherlock - Find usernames across social networks

KNN算法可以完成很多分类任务，但是它最大的缺点就是无法给出数据的内在含义，决策树的主要优势在于数据形式非常容易理解。此资源用于学习如何从一堆原始数据中构造决策树，并利用递归建立分类器进行决策

通过python语言实现，利用遗传算法求解二元函数最大值(Using Python language and genetic algorithm to solve the maximum of binary function)