资源列表
python猫狗分类程序
- 利用此程序可以对对象进行分类识别，很实用。(This program can be used to classify and recognize objects, which is very practical.)
骨架提取与动作识别
- 基于opencv以及kinect的骨架提取和姿势识别代码，C++环境(kinect gesture from opencv)
创建包围轮廓的圆形边界
- open'c'v 识别检测物体的轮廓边缘 画出它的边缘(Open'c'v Recognition detects the contour edge of an object and draws its edge)
用OpenCV进行基本绘图
- 利用opencv 进行简单的绘图功能 基本的界面的，一些简单的功能，(Using OpenCV to do simple drawing function, basic interface, some simple functions,)
相机标定
- 一个简易的相机标定程序，在vs2015上可以运行(A simple camera calibration program)
-kinect-gesture
- kinect动作识别，vs2013+opencv3.0(kinect gesture use vs2013 and opencv3.0)
最小二乘法圆拟合方法1
- 通过对图像中值滤波处理，二值化，边缘查询，找出图像中源所有的边缘像素点，然后利用最小二乘法对这些边缘点进行找圆，计算出圆的坐标和半径。(By means of median filtering, binarization and edge query, all edge pixels in the image source are found, and then the least square method is used to find the circles of these edge p
fruit-recognition-master
- 运用了OpenCV、C++、水果识别、Qt界面、颜色识别、边缘检测、图像处理 ，能够实现对不同种类水果进行识别分类。(Using OpenCV, C++, fruit recognition, Qt interface, color recognition, edge detection, and image processing, it is possible to identify and classify different types of fruits.)
ADCensus
- 一种立体匹配算法，ADCensus，使用的是AD 和 Census联合特征的匹配算法(A Stereo Matching Algorithms, named ADCensus, based on AD and Census joint features is used.)
自动化图像降采样
- 基于C++的OpenCV图像库实现的自动化图像降采样，一共7个等级。可自行修改源码，完成任意图像的降采样。
MSS+OpenCV Human Face Detect
- 利用mss、Opencv实现动态人脸识别。需要OpenCV自带haarcascade_eye.xml和haarcascade_frontalface_alt_tree.xml文件
opencv-semantic-segmentation
- 基于opencv的道路图像语义分割，用全卷积网络实现的(Road image semantics segmentation based on OpenCV and implemented by full convolution network)