搜索资源列表
SteerableGaussianFilters
- Steerable高斯图像滤波器，非常不错 在国外网站上找到的，可以学习 -Steerable Gaussian filter images, very good abroad found on the site, we can learn from
GSM
- SGM手机工作原理-开发环境，手机爱好者手册。-SGM phone work- development environment, cell phone lovers manual.
ml506_sgmii_design
- Xilinx Virtex5 SGMII高速串行通信例程。-Xilinx Virtex5 SGMII high-speed serial communication routines.
xmg_suit
- sgm文件浏览器，可以浏览sgm文件，原创-sgm file browswer
M001100_EN_1_02
- Manual of SGM Color LAB
M001100_Diagrams_1_02
- Ciruit of SGM Color LAB
G4manual_GB
- Circuit of SGM Gallio 4
GenioMobileGB
- manual of SGM GenioMobileGB.pdf
SGM
- a whole program using single gaussian model to detect moving object in video
SGM
- 这是螺旋锥齿轮加工中，采用SGM法加工出的齿面数据点的程序源代码，可以在此基础上进行加工参数的修改，得出相关的齿面数据。-This is the source code for tooth surface data point of spiral bevel gear process using SGM method. if you modify the processing parameters on this basis, dat
sgm-QQliaotian
- GSM是用于QQ自动回复的一款软件，此款软件好处在于能、够智能的回复别人的信息，别人回复什么你主不答什么，这些内容必须事先设定好-GSM is an automatic reply for QQ software, this software that can benefit, others reply intelligent enough information, what do you reply to others what th
SGM
- 用于解决视频质量诊断系统中的模糊检测模块，使用的是图像的梯度模特征，获取先验值后，检测效果还不错-Video quality diagnostic systems used to solve in the blur detection module, using a gradient mode feature of the image, after obtaining a priori value detection results w
SGM
- 半全局立体匹配算法（SGM）的实现，已封装成类（SGM.cpp,SGM.h），内含有使用例程。-Semiglobal stereo matching algorithm (SGM) implementation has been packaged as such (SGM.cpp, SGM.h), using routines contained within.
cones160127
- 根据Stereo Processing by Semiglobal Matching and Mutual Information自己写的立体匹配算法-the SGM //ref: Stereo Processing by Semiglobal Matching and Mutual Information
sgm
- 求深度信息的半全局匹配算法，使用cuda，opencv(For depth information of the semi global matching algorithm, using CUDA, opencv)
27042403
- SGM手机工作原理-开发环境,手机爱好者手册,()
aeray_exhibit
- SGM手机工作原理-开发环境,手机爱好者手册,()
SGM
- 立体匹配SGM算法matlab实现，包括图像预处理，census特征计算、4条扫描线代价聚合、亚像素求精等后处理步骤(Matlab implementation of stereo matching SGM algorithm, including image preprocessing, census feature calculation, four scanning line cost aggregation, sub-pixel
SemiGlobal-Matching-master
- 立体匹配分为初始代价计算、代价聚合、视差求解、视差优化，这是sgm代价聚合实现源码，使用c++语言实现，(This is a simple implementation of the SGM algorithm with the Birchfield/Tomasi pixelwise matching cost using the OpenCV library. It was created for a school project.
UNSW_NB15_RNN
- 用UNSW数据集进行入侵检测，运用各种组合模型，精确度能达到90%以上，运用比较流行的神经网络模型分别进行了测试(Intrusion detection using UNSW dataset)