Assignment 4

说明：  python 高级数据处理，实现各种数据的处理，得出结果(Python advanced data processing, processing various data, and getting results)

说明：  在这本书里，我们将看到一些机器学习的模型和算法。我们会介绍一些常用的机器学习任务和模型的效果评估方法。而这些模型和算法都是通过十分流行的Python机器学习库scikit-learn来完成，里面有许多机器学习的模型和算法，每个API都简单易用(In this book, we will look at some machine learning models and algorithms.We will introduce some commonly used methods for evaluating the effects of machine learning tasks and models.These models and algorithms are built using the popular Python machine learning library scikit-learn, which has many machine learning models and algorithms, and each API is easy to use)

我们的过程包括下面几步： 1、时间序列有什么特别之处？ 2、在Pandas上传和加载时间序列（pandas 是基于 Numpy 构建的含有更高级数据结构和工具的数据分析包，类似于 Numpy 的核心是 ndarray，pandas 也是围绕着 Series 和 DataFrame 两个核心数据结构展开的 。） 3、如何检验时间序列的稳定性？ 4、如何令时间序列稳定？ 5、时间序列预测。

鱼眼相机标定及校正，利用opencv对鱼眼相机进行标定及校正，输出校正后图像(Calibrate fisheye lens using OpenCV)

说明：  爬虫/ 对淘宝商城的商品信息进行爬取，获取详情信息和评论(python crawls/The commodity information of taobao mall is crawled to obtain detailed information and comment)

本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱（Franc?ois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。(This book is written by Franc_ois Chollet, the father of Keras and a current researcher on artificial intelligence at Google. It introduces in detail the exploratory practice of using Python and Keras for in-depth learning, including computer vision, natural language processing, production models and other applications. The book contains more than 30 code examples, the steps to explain in detail. Because the book is based on the accessibility and popularity of artificial intelligence, readers need not have the background knowledge of machine learning to start reading. After learning this book, readers will have the ability to build their own in-depth learning environment, establish image recognition model, generate images and text.)

本程序是vio的一个测试 给出相机图片特征点 然后根据已知的轨迹方程 分别用欧拉积分和中止积分进行测试 比较效果 程序中分别给出基于ROS平台的程序和基于非ROS平台的程序  

说明：  利用GPflow进行高斯过程回归，kernel有OU过程核等(Gauss Process Regression Using GPflow)

说明：  shape_predictor_68_face_landmarks.dat文件太大,请自行下载(face recognition,python,ssh)

说明：  无人机根据环境变化进行实时路径规划 深度强化学习(Deep reinforcement learning for UAV path planning)