Python 获取精确IP位址

在windows平台上，WebRTC采用的是dshow技术，来实现枚举视频的设备信息和视频数据的采集，WebRTC的视频部分，包含采集、编解码(I420/VP8)、加密、媒体文件、图像处理、显示、网络传输与流控(RTP/RTCP)等功能。视频加密是WebRTC的video_engine一部分，相当于视频应用层面的功能，给点对点的视频双方提供了数据上的安全保证，可以防止在Web上视频数据的泄漏。

说明：  多标签学习算法的相关资料学习，包含数据集和代码(the multi-label knn algorithm ,can use the code in python)

LDA分解，机器学习的高级知识，里面包含具体的LDA源码分析(LDA decomposition, advanced knowledge of machine learning, which contains specific LDA source code analysis)

说明：  本书由Keras之父、现任Google A工智能研究员的弗朗索瓦?肖莱（Frangois Chollet）执笔，详尽介 绍了用Python和Keras进行深度学习的探索实践，涉及计算机视觉、自然语言处理、生成式模型等应用。 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 Frangois Chollet, the father of keras and the current researcher of Google a intelligence. It introduces in detail the exploration and practice of deep learning with Python and keras, involving computer vision, natural language processing, generative model and other applications. The book contains more than 30 code examples, and the steps are detailed and thorough. Because this book is based on the accessibility and popularization of artificial intelligence, readers can read it without having the background knowledge of machine learning. After learning this book, readers will have the ability to build their own deep learning environment, establish image recognition model, and generate images and characters)

【实例简介】基于CNN的图像着色，包含复现的论文Colorful Image Colorization Richard Zhang, Phillip Isola, Alexei A. Efros

说明：  abaqus的平板约束数值模拟源文件，适合abaqus新手操作练习使用(ABAQUS source files for numerical simulation of plate constraints, suitable for ABAQUS novice operation exercises)

开发环境要求 本系统的软件开发及运行环境具体如下。 ü 操作系统：Windows 7、Windows 10。 ü  Python版本：Python 3.7.1。 ü 开发工具：PyCharm 2018。 ü Python内置模块：sys、random、codecs。 ü 第三方模块：pygame。 注意：在使用第三方模块时，首先需要使用pip install命令安装该模块，例如，安装pygame模块，可以在Python命令窗口中执行以下命令：pipinstall pygame 运行方法 打开PyCharm开发环境，然后在主菜单上选择File→Open菜单项，在打开的Open File or Project对话框中，选择项目foo，如图1所示。 Python项目开发案例集锦之5章

一款基于PYTHON语言，用VIZARD软件写的小游戏 操作上类似于打地鼠 实际上是赚钱开农场的剧情 有排行榜 表妹说..挺好玩的(A small game, based on Python, written by Vizard.)

这段时间自己在学机器学习相关的内容，其中用到了SVM回归。我采用的libSVM.网上论坛和博客已经有其相当详细的介绍，但是操作步骤比较多，且要下载的文件也比较多。之后我把应该要具有的svm文件整理在一个文件夹中，并把相关教程，和自己的操作经验一并打包在此分享。有些文件是自己编写的，用来转换libsvm数据格式，其他的都在相应的文件夹下可以找到，我自己的实验数据和图也在其中。记住，gridregression.py使用时要内部改路径。我的是64位系统 ( This time I learning machine learning related content, which USES the SVM regression. I use libSVM. Online BBS and blogs have the quite detailed introduction, but more of the process, and also more to download the file. After I put the should have the SVM papers in a folder, and the related tutorials, and share his experiences along with all the packaging in this. Some files are writing your own, which is used to convert libsvm data format, the rest can be found in the corresponding folder, my own experimental data and figure among them. Remember, gridregression. Py when using internal to change path. I was a 64- bit system )

说明：  python编程从入门到实践，详细解释了python的学习过程(From the beginning to the practice of Python programming, it explains the learning process of Python in detail)