获取U-boo下参与编译的源码

基于开源框架scrapy-redis开发的分布式网络爬虫，编程语言为python,数据库为mongodb,采用抓取新浪微博平台的进行测试。

将图片通过灰度值转化为文字符号，并排列为原来图像的样式。 (Convert image by gray scale value into text symbols, side by side as the style of the original image. )

说明：  对中海庭给的高精地图数据进行清洗，简易代码(data processing of HD map data)

说明：  使用python第三方库requests访问高德地图开放web服务端，获取深圳市的桥梁和道路信息(Using Python third-party library requests to access the open web server of Gaode map to obtain the bridge and road information of Shenzhen city)

说明：  读取VECTOR或ETAS等汽车CAN分析工具数据的MDF格式(MDF Format for Reading Data of Vehicle CAN Analysis Tools such as VECTOR or ETAS)

 ；хуйсоси-губойтрясиссалявамвушиблять，какогохуятутвсенабабкахпиздецястудентнахуйикакмнеблятьтутчтотоскачатьаааанахуй？？

基于U-net模型，分离单声道音乐纯人声(Separation of pure voice from single channel music based on U-net model)

说明：  能够实现对车辆的检测与计数，已经测试通过。但压缩包中没有附带视频，视频可以在网上下载。(It can detect and count vehicles, and has passed the test. But there is no video attached to the compressed package. Video can be downloaded online.)

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)

Code for Django Project