帧相减镜头检测

基于用户的协同过滤算法，数据源采用movielens.其核心思想是，根据系统中用户对项目的已评分数据，计算目标用户和其他用户（或项目）之间的相似度，然后根据得到的相似度进行排序，选择相似度最高的若干个用户（或项目）形成最近邻居集合，最后根据该集合中用户（或项目）的评分情况来预测目标用户可能感兴趣的项目，进而主动生成推荐列表。

说明：  利用深度学习卷积神经网络，对手写数字1到9进行训练，使得训练网络识别数字的准确率达到比较高的水平(Deep learning convolutional neural network is used to train the hand to write Numbers from 1 to 9, so that the accuracy of the training network to recognize Numbers can reach a relatively high level)

jetbrains-agent.jar是pycharm付费版的破解包

本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)

说明：  实现遗传算法,选用python3作为平台开发，直接导入即可运行(Implementation of genetic algorithm, using Python 3 as a platform for development, direct import can run)

说明：  深度学习正在为广泛的行业带来革命性的变化。对于许多应用来说，深度学习通过做出更快和更准确的预测，证明其已经超越人类的预测。本书提供了自上而下和自下而上的方法来展示深度学习对不同领域现实问题的解决方案。这些应用程序包括计算机视觉、自然语言处理、时间序列预测和机器人。(Deep learning is bringing revolutionary changes to a wide range of industries. For many applications, deep learning proves to be beyond human prediction by making faster and more accurate predictions. This book provides top-down and bottom-up approaches to demonstrate deep learning solutions to practical problems in different areas. These applications include computer vision, natural language processing, time series prediction and robotics.)

Intro to Game Design, Pygame范例(Pygame Sample Codes)

利用urllib.request进行爬虫， 下载百度视频页面的所有图片保存到本地(Use urllib.request for crawl. Download all the pictures from Baidu video page to local.)

blender script to make a object intersection

lstm小demo，根据时间变化，预测航空公司客流量。(LSTM small demo, according to the time change, predicts the airline passenger flow.)