资源列表
123MNISTTrain
- 手写数字训练识别，基于MNIST库进行训练识别，6W个训练样本，识别率95 以上-Handwritten numeral recognition training, training on MNIST library identification, 6W training samples, the recognition rate of 95 or more
Opencv_test
- 用C++建立了类，来读入图像，构建了基本框架，实现了一些基本的图像处理操作，加入了噪声，方便后续处理-In c++ class is established, to read the image, build the basic framework, implements some basic image processing operations, joined the noise, convenient and subsequent processing
MyGarden3D
- 花园场景，天空、大地、植物(茎、花、叶) 地形高度可编辑 植物数量、位置、颜色、自旋可编辑 面向对象封装完善，代码易于移植-Garden scene including sky, earth and plants (stems, flowers and leaves). Terrain height is editable. Number, position, color and spin of plants are editable. Object-oriented,
snake
- snake算法原理资料，已经VC的编程实现-snake algorithm principle of data, the VC programming
10_3DWorld
- 3D_world opengl实现3D场景，可以移动摄像机等。-3D_world opengl 3D scenes to achieve, you can move the camera and so on.
tanchishe
- Dark GDK编写的双手互博贪吃蛇游戏-The Dark GDK written his hands and Bo Snake game
facedetector_20100723
- 國外 OpenCV Face Detection VC++ MFC 程式碼-Foreign OpenCV Face Detection VC++ MFC code
image-suofang
- 该部分内容用VC++实现图像的缩放 代码详细 可以运行实现-The part of the contents VC++ Image scaling code can run in detail to achieve
C#数字图像处理算法典型
- 图像处理的基本算法汇总 , 灰度化 , 点运算 , 几何运算 , 边缘检测 , 平滑去噪 ,图像分割 ,彩色图像处理等 . C#语言编写的图像处理算法集合 .(Image processing of the basic algorithm, summary, grayscale, point calculation, geometric operations, edge detection, smoothing denoising, image segmentation, color image
HALCON_Thread
- 利用halcon的一个多线程实现实时采集图像，抓取一帧图像。-Halcon use of a multi-threaded real-time image acquisition, crawl an image.
Date
- 简单日期转化器，能自动识别闰年还是平年，对输入的年月日可以转换为一年的第几天，输入的天数可以自动转换成一年中的具体日期。-Simple date converter that can automatically identify a leap year or leap year, the input can be converted to year, month, day of the first few days, the number of days to enter Automatic
Blog_hogCompute6.tar
- Opencv HOG (Histogram of Orientation Gradient) training based on Dalal method. When you try to use Opencv HOG, you may not know how the training of the SVM model is done. Here is the example Linux with Opencv2.1