搜索资源列表
cvtest
- C#下opencv调用摄像头 C#下opencv调用摄像头-C# opencv crmera C# opencv crmera C# opencv crmera
2
- opencv障碍物识别，通过读入摄像头图像或者视频，辨别障碍物，并生成逻辑图像mat。-opencv obstacle identified by reading the camera images or videos, to identify obstacles and image generation logic mat.
capture_faceaaa
- 基于opencv的摄像头人脸检测，精度还算不错，可以-face detection
GetDeviceIDfromVIDandPID
- 通过设备的VID和PID获取对应的设备ID，可用于OpenCV打开摄像头，VideoCapture::open()。-Get device ID which can be used for opencv PID,VID.
baseball
- 用visual C++ 和 opencv 制作的棒球游戏程序，需要摄像头支持-A visual C++ and opencv source code of baseball game
opencv_camera
- 在vs平台下，opencv调用摄像头，并显示。-Opencv call the camera and display.
eye-detection
- opencv人眼检测算法，此算法是基于haar分类器的简单算法，可以实现摄像头视频的实时监测。算法简单但是很是实用，所以上传与大家分享-opencv eye detection algorithm, which is a simple algorithm based on haar classifier, can achieve real-time video surveillance camera. Algorithm is simple but very practical, so uplo
image-text-segmentation
- opencv 图像文字分割，摄像头抓取后 作为O字符识别前一部 将字符分割开-opencv text image segmentation, after the camera as front crawl O character recognition a character separated
CameraMFC2010
- 利用opencv搭建的mfc调用摄像头小程序。-using opencv
kvy
- 使用OpenCV对摄像头进行标定,可以学习参考-Using OpenCV on camera calibration, can learn the reference
45612164
- 使用OpenCV对摄像头进行标定,可以学习参考-Using OpenCV on camera calibration, can learn the reference
pvll-radian
- 使用OpenCV对摄像头进行标定,可以学习参考(Using OpenCV on camera calibration, can learn the reference)
单目双标志点测位姿_手动 - 测试0812
- 单目 双标志点 测位姿变化 单个摄像头测试 用于opencv配置的vs(Monocular double mark point measurement of pose change)
virvualprocdures
- 使用OpenCV对摄像头进行标定,可以学习参考()
JWMLLO966
- 在OpenCv中开发的测试电脑摄像头速度的软件,必须先装Opencv()
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
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.)