朱芳清 201711010192 wk7

基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry pie 3B+/3B as the core processor, and based on Linux platform, uses Python 3.5 and OpenCV to process the image containing license plate information, and carries out a series of image processing operations such as Gaussian denoising, graying, edge detection, binarization, closed operation, character segmentation, character recognition matching, etc. Finally, the system of license plate recognition is realized)

批量下载ERA interim数据资料的方法(download ERA interim in batch)

openlayers必须的openlayer文件(Gis have to get a ol.js)

python聊天机器人(扫码登陆网页版微信)

说明：  本文件为《简明Python教程》中的部分代码及重要备注，可方便入门Python的新手学习(This file is part of the code and important notes in the Concise Python Tutorial. It is easy to get started with Python.)

Declares the RPC service interfaces.

说明：  循环神经网络学习流量预测lstm适用于初学者学习使用(Recurrent neural network learning traffic forecast)

说明：  基于勾勒图的图像检索源码（download from github）(code for DeepSBIR-master which is download from github)

Python implementation of 1D SPH schemes

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