搜索资源列表
GridArrayQt
- 使用Qt5+vs2013开发，用于生成LED屏幕的点阵数组，方便在LED屏幕显示图像,支技qt国际化,可以用qt或vs_qt_addin打开，支持window+linux-Use Qt5+vs2013 developed for generating an array of LED dot-matrix screen, easy to display images, support skills qt international LED screen, you can use qt or vs_
RPI
- This scr ipt is a Python OpenCV based scr ipt specially used for raspberry pi. It redes .bmp images pen-drive and send that information to led matrix display to display that image.-This scr ipt is a Python OpenCV based scr ipt specially used for rasp
创新立项动作识别
- 基于人体动作控制的智能管家系统stm32f103代码，识别人体是否张开手臂，如果张开手臂则点亮led。(Based on human action control intelligent housekeeper system STM32F103 code, identify whether the body open arms, if open arms, lit led.)
点阵动画取模上位机软件
- A led matrix auto coder toolkit
MakeImageData
- 用Delphi来发生彩色LED显示屏的资料。在VHDL固件里，保存这个资料作为mif样式到ROM架构。终于FPGA芯片显示静止图像在LED屏幕。(We developed Delphi application. This application generate initial data of VHDL firmware. This data has a <*.mif> style. FPGA chip using this initial data displays still
Opencv元件识别源码和DLL
- LED元件识别和相关库文件，关于角度识别和外接矩形框。(LED component identification and related library files)
ocr1
- 基于LED数码管字体的OCR识别，可以选择图像自动识别生成字符串(OCR recognition of digital tube fonts based on LED)
LED流水灯
- 1211235467897541321324351(21115645413245643213)
简易寻灯
- 给予颜色提取识别红色led小灯。通过对红色通道值的限定提取光源(Recognition of light source based on color extraction)
zhiwen
- 这个程序就是从联合开发网下载的，但是有一个错误导致识别率不足60%。 原始版本在图像旋转后提取的指纹中心点算法有误，每次提取的中心点都在图像边缘，造成后面提取的FingerCode也会出错。 这个修改使旋转前的中心点与旋转后的中心点保持一致，同时减少了运算复杂度(This program is downloaded from www.pudn.com, but one error led to recognition rate of less than 60%. The original
基于BHL2000实现字符灰度显示
- 基于BHL2000实现字符灰度显示，本项目主要由三个模块构成：51单片机控制模块、BHL2000灰度调制模块、LED点阵显示模块。用AT89S51单片机产生16*16LED点阵的行扫描信号，并且由单片机控制BHL2000灰度调制芯片，输出调制后的驱动电流控制LED，实现LED点阵256级灰度显示。(Based on BHL2000, the character gray display is realized. This project is mainly composed of three m
打包matlab文件
- 屏幕缺陷检测背景纹理拟合，用于LED mura缺陷检测(for p=1:1 [X,Y,Z]=random_point(img,0.5); C=coeffi(X,Y,Z); background=form(img,C); IMG=im2double(img); defect=IMG-background; img=defect; end defect=abs(defect); figure(2),imshow(img,[]),title('');)
ASIFT_slides_20min_v5
- ASIFT算法就是为了解决SIFT、ORB、SURF等特征描述算子倾斜匹配的问题。上面的这些算法可以很好的应对尺度、旋转情况下的匹配，但是对于倾斜影像的特征点匹配只能提取很少量的特征，所以作者提出ASIFT来解决这个问题。(If a physical object has a smooth or piecewise smooth boundary, its images obtained by cameras in varying positions undergo smooth apparen