资源列表
04.静态数码管实验
- 基于stm32的静态数码管实验，包含完整实验过程及代码，经调试可用(STM32 based static digital tube experiment, including complete experimental process and code, debugging can be used)
Automatic Engine V 8.9C
- Automatic Engine V.8.9C.zip by gesit geovandy
6.串口实验
- 基于c51的串口实验，包含完整实验过程及代码，经调试可用(C51 based serial port experiment, including complete experimental process and code, debugging can be available)
新建文件夹 (2)
- 很简单的一个图像去模糊的例子，在知道模糊长度和模糊角度的情况下进行图像去模糊(A very simple image defuzzification example, to do image defuzzification in the case of fuzzy length and fuzzy angle.)
7.矩阵按键实验
- 基于c51的定时器实验，包含完整实验过程及代码，经调试可用(C51 based timer experiment, including complete experimental process and code, debugging can be used)
Version_2p5_Final
- 简便的tdms文件读取工具包，将该文件夹添加入matlab路径，即可调用内部函数读取tdms文件(Simple tdms file reading toolkit)
FingerTip
- 基于深度相机的手势识别，利用深度信息设置包围盒分割手，然后使用SVM分类器对训练数据集进行训练。在静态手势测试时，我们先计算测试图像的HOG特征，然后经SVM分类得到测试结果(Based on the gesture recognition of the depth camera, the depth information is used to set the bounding box to divide the hand, and then the training data set is
lbpcascade_animeface-master
- 利用opencv资源库里自带的lbpcascade_animeface.xml，对普通人脸进行识别，如果有数据库的话，也可以自己训练学习，提取人脸特征，进行学习(We use the lbpcascade_animeface.xml in opencv repository to recognize normal faces. If there are databases, we can also train ourselves to learn, extract facial features
etherlab-bundle-2.1
- EtherCAT 主站协议 支持 CoE(EtherCAT master supporting CoE)
摄像头标定
- 采用棋盘纸定标，通过过相机捕获到的图片，不断旋转棋盘纸的位置，在4个坐标系之间的的来回转换，最后得到相机的内外参，注意保存在xml文件里(Chessboard calibration is adopted. Through the pictures captured by the camera, the position of chessboard is constantly rotated, and the conversion between the 4 coordinate systems
Neural-Network-master
- 人工智能，神经网络简单实现。适合初学研究使用。(Neural network algorithm)
OpenGLOBJDemo
- opengl本身就是一个计算机图形学处理工具，可以利用其绘画出各种精细图形界面，这里在图形界面里导入三维模型obj(OpenGL itself is a computer graphics processing tool. It can draw various fine graphical interfaces by using it. Here we import the 3D model obj into the graphical interface.)