jquery ui拖拽 克隆

shanChen两相流LBM的c版源代码，参考shanChen.m修改的，希望对不太熟悉Matlab的有所帮助(c code of liquid-liquid flow of shanchen)

完整的仿真了地形匹配中的TERCOM算法，包含了地形数据。(A complete simulation of terrain matching in the TERCOM algorithm, including terrain data.)

官方出版的opencv教程，学习opencv必备。(Officially published opencv tutorials are essential for learning.)

光流算法的源码 运用稠密光流（Lucas-Kanade）算法跟踪运动的图像(Optical flow algorithm source code using dense optical flow image (Lucas-Kanade) algorithm to track the movement of)

运用fisher方法进行pca降维和Lda特征提取的人耳识别。(Use fisher method Lda PCA dimensionality reduction and feature extraction to identify the human ear.)

视频读取并提取目标背景 背景要求是静止的 效果很好(Video read and extract the target background static background requirements are well)

采用自适应非局部降噪的算法对图像进行去噪处理，能够实现不同算法的降噪处理(Using adaptive non-local denoising algorithm to denoise image can achieve denoising processing of different algorithms.)

基于labview的远程数据传输 tcp协议(Remote data transmission based on LabVIEW)

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.)

图像的复制剪切粘贴，Visual C++编程技巧精选，很好的参考资料。(Copy cut and paste image, Visual C++ programming skills selected, a good reference.)