智元素机器人python学习手册

智元素机器人Python学习手册

目录

Python基础教程...............................................................................................................61.1python简介...................................................................................................................61.2Python基础...................................................................................................................81.3python数据类型和变量...............................................................................................91.4python语句.................................................................................................................131.5Python函数.................................................................................................................18二．Python进阶教程.............................................................................................................192.1面向对象技术简介......................................................................................................202.2Python类操作.............................................................................................................202.3类的继承............................................................................................................................222.4Python控制格斗机器人运动...........................................................................................24三．Python-opencv基础.............................................................................................................273.1.Opencv简介.....................................................................................................................273.2.Opencv应用领域.............................................................................................................273.3.opencv安装方法..............................................................................................................273.4.python-opencv读取摄像头图像...................................................................................283.5.颜色空间转换..................................................................................................................303.6.图像缩放...........................................................................................................................313.7.图像滤波......................................................................................................................32四．颜色识别...................................................................................................................................344.1HSV颜色空间.....................................................................................................................344.2腐蚀与膨胀........................................................................................................................354.3提取连通域........................................................................................................................364.4代码解读............................................................................................................................37五、形状提取..........................................................................................................................405.1直线检测............................................................................................................................405.2圆形检测............................................................................................................................415.3检测其他形状....................................................................................................................43六、人脸识别..........................................................................................................................446.1Haar级联的概念................................................................................................................446.2人脸识别的流程：............................................................................................................466.3人脸数据采集....................................................................................................................476.4人脸识别............................................................................................................................50七、二维码识别...............................................................................................................................537.1定位二维码位置................................................................................................................537.2识别二维码内容................................................................................................................55八、Camshift目标跟踪..................................................................................................................57一．8.1原理解读............................................................................................................................578.2实验操作............................................................................................................................58九、光流法目标跟踪......................................................................................................................659.1原理解读............................................................................................................................659.2特征点提取........................................................................................................................669.3光流跟踪............................................................................................................................68十、KCF+Kalman目标跟踪...........................................................................................................7210.1原理简介..........................................................................................................................7210.2实验操作..........................................................................................................................73十一.基于百度人工智能平台手势识别.......................................................................................7511.1手势识别原理..................................................................................................................75概述...................................................................................................................................75一、手势识别的分类......................................................................................................76二、基于2D摄像头的手势识别...................................................................................7611.2实现过程..........................................................................................................................77一、服务申请..................................................................................................................77二、本地环境配置..........................................................................................................81十二.基于讯飞人工智能平台的语音识别...................................................................................8312.1语音识别原理..................................................................................................................83语音如何变成文字矩阵..................................................................................................83文字矩阵如何变成文本..................................................................................................8412.2实现过程：......................................................................................................................86一、流程概览..................................................................................................................86二、申请科大讯飞账号..................................................................................................87三、创建应用..................................................................................................................87四、查看开发文档..........................................................................................................88五、根据开发文档进行调试..........................................................................................89十三.基于dlib人脸表情识别.......................................................................................................9113.1介绍..................................................................................................................................9113.2开发环境搭建..................................................................................................................9113.3实施思路..........................................................................................................................9213.4具体步骤..........................................................................................................................9213.5实际运行效果..................................................................................................................94十四.基于OpenCV的神经网络(mlp)技术..................................................................................9514.1MLP讲解...........................................................................................................................95一、基本变换：层..........................................................................................................95二、理解视角：..............................................................................................................96三、神经网络的训练......................................................................................................9814.2OpenCV实现..................................................................................................................102载入数据........................................................................................................................103定义神经网络及参数：................................................................................................104十五.基于Tensorflow的物体识别（MobileNetV2）.............................................................10515.1MobileNet简介..............................................................................................................10515.2MobileNet算法解读......................................................................................................108引言................................................................................................................................108模型讲解........................................................................................................................10915.3MobileNetV2的实现.....................................................................................................116安装前的准备................................................................................................................116更新RaspberryPi..........................................................................................................116安装Tensorflow............................................................................................................117安装OpenCV................................................................................................................117编译并安装Protobuf....................................................................................................118建立Tensorflow目录结构...........................................................................................119测试物体检测算法........................................................................................................120START初次使用智元素-格斗机背包，请先为您的树莓派背包连接鼠标键盘显示器，确保它与您的个人PC连接在同一路由器下，然后在电脑端打开nomachine软件

Nomachine会自动搜索到您的背包树莓派：

双击连接，输入用户名：pi，密码：123456即可远程访问格斗机智能背包：

开始编程吧！！