搜索资源列表
ObjectDetect
- 用opencv做的一个比较基础的光流场目标检测算法实现,可以进行光流计算和标注,并含有测试视频文件。-To do a comparison with opencv optical flow field based object detection algorithm, optical flow can be calculated and marked, and contains test video files
On_Mouse
- 一个可以手工标定图像区域并实时显示位置的程序,可以很方便的移植为图像标注工具、物体检测工具和对象跟踪工具等。-Manual calibration of an image region and display the location of procedures, can be easily transplanted to image annotation tool, object detection and object tracking tools and other tools.
peopledetect
- 使用opencv对行人进行侦测,能快速识别行人并标注,适于opencv初学者-people detection using opencv lib
test_ROI
- 利用opencv和vc++2010编程实现在图像中标注ROI。-label ROI in an image
skin
- 通过手工标注从照片中取样皮肤,然后对输入视频进行皮肤检测,将费皮肤处显示为蓝色。-Sampling skin, skin testing, then the input video fee skin is displayed at the blue label from the photo by hand.
Automatic-tagging-face
- 对图片中的人脸可以进行自动的标注,并显示出来。-The face of pictures can be automatic tagging, and displayed
face-recognition
- 将图片的人脸进行识别并以矩形边框进行标注-Picture of the face to identify and label a rectangular border
videolabel
- 视频标注工具,具体可参见我的博客:http://blog.csdn.net/xiaowei_cqu/article/details/8778976-Tools for labeling video (coded with opencv 2.4). See my blog: http://blog.csdn.net/xiaowei_cqu/article/details/8778976
opencv_fa
- openCV人脸识别,提供了读取摄像头视频流并且自动识别人脸标注人脸的功能。-Facial expression in openCV
cv
- 使用opencv的函数,寻找图像中的连通域,并标注,计算最大的连通域,显示-Using opencv function to find images connected domain, and marked, calculate the maximum connected domain, display
Project8
- 这是基于haar特征的adaboost算法的人脸识别,可以检测出人的脸,用圆标注出来-This is based on adaboost haar features face recognition algorithm can detect the human face, with a circle marked out
ch11_ex11_1
- 摄像机标定,具体参数已经标注,方便修改和理解-Camera calibration, specific parameters have been marked, easy to modify and understand
meanshift
- 利用OPENCV提取图像的轮廓,需找面积最大的连通图像,最后用曲线标注-Using OPENCV to extract the outline of the image, to find the area of the largest connected image, finally uses the curve labeled
connected
- 求出图像联通区域,并标注出来,可以求出最大联通区域-Unicom obtained image area, and marked out, you can find the maximum area Unicom
testdemo14
- 其用c++编写的检测运动物体的程序,用红色椭圆标注,平台是visual stduio2008 opencv库是2-Its use c++ prepared to detect moving objects procedures, the platform is visual stduio2008 opencv library 2.4.4
液位检测
- 检测酒瓶液位,并标注瓶体位置和液位位置,从而判断液位是否在合格范围内(Detecting and marking the liquid level of the wine bottle)