ColorImageEnhancement

说明：  这是用c语言实现的图形的几何变换算法，里面有许多小的功能(This is achieved using c language graphics geometric transformation algorithms, there are many small function)

free image to be used freely

说明：  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)

输出一个具有一定大小的双三角形，该三角形中间最小(Output of a certain size with a double triangle, the triangle between the minimum)

人脸检测程序。在菜单上有许多功能选项，可实现多角度，多目的检测。(face detection procedures. In the menu options are many functions that can be achieved from different angles, multi-purpose testing.)

计算图像的均值和方差函数，matlab编写的，可以添加到自己的图像处理中(Calculated the mean and variance of the image function, matlab prepared, can be added to their own image processing)

视频拼接，自己改正后可以实现自己需要的目的， 下载请测试(Video stitching, self correction, you can achieve the purpose of their own, download, please test)

说明：  NPCR and UNCI of image

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.)