搜索资源列表
keyboard
- 基于OpenCV的投影键盘,使用摄像头加高透片、红外一字线激光器。(Laser keyboard based on image processing.)
MYMVSDLL
- 枚举海康工业摄像头后Opencv找出条码位置(Haikang industrial camera after Opencv to find enumeration barcode location)
GWXFaceRec
- 单目摄像头,实时在线实现人脸检测功能,使用openCV。(single camera,release the function of face recongise)
evocutiononline
- 使用OpenCV对摄像头进行标定,可以学习参考()
xmvm
- 在OpenCv中开发的测试电脑摄像头速度的软件,必须先装Opencv()
张正友标定程序
- 基于OpenCV的单目摄像头标定系统,运用张正友标定法(Completing monocular camera calibration)
oopen
- 菜鸟初学者,第一次编写基于OpenCV的摄像头开启程序。是基于控制台形式的。读取级联检测器文件进行识别。简单易扩展。(Rookie beginner, for the first time, wrote the camera opening program based on OpenCV. It is based on the console form. Read the cascade detector file for recognition. Simple and easy to expa
adafruit-pi-cam-master
- 树莓派 OPENCV打开摄像头 人脸识别(Raspberry pie OPENCV open camera face recognition)
motion_detector
- (Python与OpenCV)能够通过固定摄像头检测运动物体(Camera detection of moving objects)
binocularDistance-master
- 在visual studio上调用opencv视觉库,用c++编程实现双目摄像头测距(Using c++ to realize binocular range finder on vs)
eyeLike-master
- 人眼中心定位是一个用于眼部追踪的算法,C++语言实现,依赖OpenCV库。 关于代码的编译,提供了CMakeLists.txt文件,同时支持Windows,Linux和Mac OS X。 该项目从网络摄像头读取视频,进行人脸检测,再根据检测到的人脸图像截取左眼和右眼的ROI区域,最后根据截取到的ROI进行眼球中心检测与跟踪。所以算法的主要包含三个部分:人脸检测,ROI截取,眼球中心定位。(The estimation of the eye centres is used in sever
depth
- 使用 intel realsense D435 在opencv python平台下测摄像头与被测物体之间的距离。(The distance between the camera and the object under test is measured under the platform.)
keras人脸识别
- 利用Keras实现从摄像头读取的视频种检测和识别人脸,基于tensorflow+opencv,搭建了卷积神经网络模型