任务11

基于python和opencv的车牌识别,包括车牌提取和字符识别 1,plate.py为提取和识别图片里面的车牌号码 2,切割和识别第一步车牌图片里面的字符,提取特征(License plate recognition based on Python and opencv, including license plate extraction and character recognition 1. Plate.py is used to extract and identify the license plate number in the picture. 2. Cutting and recognizing the characters in the first step license plate image and extracting features)

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一个Python实现的canopy算法，可以进行聚类，支持欧氏距离，余弦距离，文件对输入数据进行了处理，下载后可以自己通过更改一部分读数据代码把数据换成自己的数据

python绘制一个图形示例源码(tkinter)

说明：  OpenCV是一个基于BSD许可（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows、Android和Mac OS操作系统上。(OpenCV is a cross-platform computer vision library based on BSD license (open source), which can run on Linux, Windows, Android and MacOS operating systems.)

machine learning 方面有关于Classification fundamentals的资料，语言是python(Classification fundamentals aspects of machine learning have information about language is python)

基于python的DBN实现，可以用来数据降维。(Implementation of DBN based on Python)

在simpleitk环境下显示2D 3D图像 并与之互动(Display and interact with 2D 3D images in the simpleitk environment)

这个python代码的主要作用是给文件里的很多图片进行重命名，即批量更改名称。(The main function of this python code is to rename many of the images in the file, namely batch change names.)

带GUI的24点游戏