mtdel-wsnhows

用于pivlab处理得到的流场数据画图，具体使用见注释(Flow field data plots for piv processing)

twain_vb源码,图像设备与计算机软件接口程序(twain_vb)

鱼眼图像校正并将校正后的图像转换成鸟瞰图，即俯视图，纯C代码，没有调用其它库(fish eye image correction,then change it to bird s eye view)

裁剪shape文件，使用idl编程实现，就是一个功能，编译以后可以直接调用这个函数(Clipping shape file, using idl programming, is a function, after compiling can directly call this function)

一个简单的windows TDI框架,通过他可以熟悉TDI框架模型(A simple windows TDI framework through which he can familiarize himself with the TDI framework model)

说明：  利用raycasting实现三维重建,直接体绘制，老外写的(raycasting volume rendering C++ C# vs2008)

LDA实现人脸特征提取和识别，用matlab编写，和结果分析(A matlab code of LDA for face recognition)

说明：  实现了一个二维小波分解、重构程序，对一副16*16的数字图像进行了二层小波分解和重构。(A two-dimensional wavelet decomposition and reconstruction program is implemented, and a 16*16 digital image is decomposed and reconstructed by two-level wavelet.)

H264的VERILOG代码,基本实现了全部的功能(H264 of the Verilog code, the basic realization of all the functions)

说明：  UNet最早发表在2015的MICCAI上，短短3年，引用量目前已经达到了4070，足以见得其影响力。而后成为大多做医疗影像语义分割任务的baseline，也启发了大量研究者去思考U型语义分割网络。而如今在自然影像理解方面，也有越来越多的语义分割和目标检测SOTA模型开始关注和使用U型结构，比如语义分割Discriminative Feature Network(DFN)(CVPR2018)，目标检测Feature Pyramid Networks for Object Detection(FPN)(CVPR 2017)等。(Its influence has reached 70% in 2015. Then it became the baseline that most of the medical image semantic segmentation tasks, and inspired a large number of researchers to think about the U-shaped semantic segmentation network. In the aspect of natural image understanding, more and more SOTA models of semantic segmentation and object detection begin to pay attention to and use U-shaped structure, such as semantic segmentation, discriminative feature network (DFN) (cvpr2018), feature pyramid networks for object detection (FPN) (CVPR 2017), etc.)