搜索资源列表
facedetect
- 基于图分割的人脸检测,主要是用opencv中的算法-Based on Figure split face detection
OtsuBIlevel
- Otsu bi level threshold function, using Opencv implemented in C.
VedioPlay.tar
- 关于Opencv的代码学习，视频载入，播放等功能的实现，适合初学者学习。-Realization on the learning of the Opencv the code, the video loaded, playback and other functions, suitable for beginners to learn.
ejemplo_svm.py
- EXAMPLE FOR SUPORT VECTO MACHINNE IN OPENCV
armAdaBoostface
- 基于arm和AdaBoost的人脸识别，有Qt做的界面，可以识别出来人脸，程序本身没错误，如无法运行，请查看是否有opencv库函数和安装有qt。-Qt interface to do arm and AdaBoost-based face recognition, face out people can identify no error in the program itself, If you are not able to run, to see if opencv library fu
qichefangzhuang
- 嵌入式 ARM9 QT 汽车防撞系统 人眼识别 opencv-The embedded ARM9 QT car crash
sample.tar
- linux 下的opencv的简单例程，调用发行版的opencv库实现编程-opencv sample on linux
package.tar
- 简单的opencv工程，在linux下利用发行版自带的opencv库文件。-Simple opencv works in linux using release comes with opencv library files.
RaspberryPi
- raspberry 安装OPENCV 播放视频 编写OPENCV单个文件 编译多个文件 含C++类 实现自动登录 实现自动运行startx启动窗口系统 窗口系统启动后，自动运行自定义的程序的实现方法 开机自动循环播放 -Installation OPENCV Play Video OPENCV writing a single file Compile multiple files
MPGTOAVI
- 使用opencv将mpg格式文件转为avi视频文件。-convert .mpg to .avi by using opencv.
handvu-beta3
- Handvu opencv hand recognition source code
OPENCV
- 车辆牌照定位与识别是计算机视觉与模式识别在智能交通领域应用的重要研究之一。 该技术应用范围十分广泛。其中包括（1）交通流量检测；（2）；（3）；（4）小区车辆管理；（5）闯红灯等违规车辆监控；（6）不停车自动收费；（7）道口检查车辆监控；（8）公共停车场车辆监控；（9）计算出行时间；（10）车辆安全防盗。 2.1国内研究现状 -Vehicle license plate location and recognition is one of the important researc
luv
- 基于ARM11的运动背景的黄色小球的实时捕获与跟踪代码，芯片是S3C6410，没有采用OPENCV代码而是直接跟踪处理，基于色彩空间的跟踪程序-Target tracking based on ARM11 camera, the development board to use the fly Ling ARM11, S3C6410 program, mainly is the moving background, yellow ball tracking.
VideoShot-master
- 视频镜头分割,在windows下基于C++ Opencv实现-Video shot segmentation in VS
cvutils-0.1.tar
- it is opencv utilities
Object-Track
- Android-OpenCV Object-Tracking
hog3D
- linux下的hog3d描述子代码，需要安装openCV和ffmpeg库文件-hog3d descr iption of sub-code under linux, you need to install ffmpeg libraries and openCV
SnapImage
- 双目USB摄像头通过OpenCV进行实时显示，通过按C/c键截取图像，按Q/q退出程序。-two usb cameras display on two windows, press keyboard C/c to snap two images pairs, press Q/q to quit
traffic-sign-detection
- 实现场景中标志的检测，能够用OpenCV将结果显示输出。(Realize the detection of flag in scene)
Camera.tar
- 在ubuntu12.04，基于qt4.8编写的使用opencv打开摄像头，并进行拍照，保存照片，读图片进行裁剪(In ubuntu12.04, written on qt4.8, use OpenCV to open the camera, and take pictures, save photos, read pictures, cut them out)