海量点云数据轮廓特征线的快速生成算法_程效军

开元解密的微擎医疗小程序。在线挂号，排班，客户预约提醒，客服提醒。等等，喜欢的花来下载(Kaiyuan decrypt the micro - engine medical small program. Online registration, scheduling, customer appointment reminder, customer service reminder. Wait, like the flowers to be downloaded)

hoops基础讲义，培训课程，ppt格式讲义-hoops

说明：  增压柴油机的建模与仿真，里面包含发动机模型(Modeling and Simulation of Turbocharged Diesel Engine,It contains the engine model.)

说明：  自己收集珍藏的传世服务端，现在分享给大家，可以帮助学习写脚本的一些思路，里面有很多常用脚本可以借鉴！(Collection of their own collection of handed-down servers, now share with you, can help you learn to write scripts some ideas, there are many commonly used scripts can learn!)

说明：  使用卷积神经网络进行高光谱遥感数据分类，使用的数据源为Pavia University高光谱数据 文件夹log--日志文件夹，存放TensorBorad日志、网络参数文件、混淆矩阵图 文件夹Patch--存放数据处理的切片结果 文件夹PaviaU--高光谱数据下载存放位置 文件夹predicted--CNN对原始影像的分类结果 data.py--对原始高光谱影像进行数据处理，生成切片 net.py--神经网络模型 train.py--训练神经网络 utils.py--需要用到的函数 show.py--使用训练好的神经网络模型对原始数据进行分类(Using convolution neural network to classify hyperspectral remote sensing data, the data source is Pavia University hyperspectral data. Folder log -- Log folder, store TensorBorad logs, network parameter files, obfuscation matrix diagrams Folder Patch -- Stores slice results of data processing Folder PaviaU -- Place for Hyperspectral Data Download and Storage Folder predicted -- CNN classification results of original images Data.py -- Data processing of original hyperspectral images to generate slices Net.py--Neural Network Model Train.py--Training Neural Network Utils. py -- Functions to be used Show.py -- Classification of raw data using trained neural network model)

说明：  unitypro pid controller prog

一款超酷的3D元素周期表三维图片墙效果，使用html5和jquery技术制作(A cool 3-D periodic table wall effect, Using HTML 5 and jQuery Technology)

I2C总线协议，对学习及如何使用I2C协议进行模拟开发有一定的帮助(I2C bus protocol on learning and how to use the I2C protocol to simulate the development of a certain degree of help)

说明：  ncl绘图脚本，适用于wrfout数据，包含多种信息图的绘制(NCL drawing script, suitable for wrfout data, contains a variety of information drawing)

gps pygarmin-0[1].6.tgz