搜索资源列表
FaceDetect
- 利用opencv进行人脸检测，解决原始代码不兼容部分USB摄像头的问题(face detection using opencv, fix some minnor problems in the opencv demo that may cause video capture failure.)
CameraDisplay
- 多种基于opencv的摄像头调用程序。可实现绝大部分电脑上稳定条用摄像头。(opencv functions that calls the cameras, is compatible with most computers in the market.)
opencv_camera
- opencv 调用PC摄像头进行拍照并保存照片(Opencv calls PC camera to take photos and save photos)
test
- 利用VS2010和Opencv打开摄像头显示画面(Use VS2010 and Opencv to open the camera display screen)
imagelocation.tar
- 在已知高度的情况下利用单目视觉摄像头来进行定位。(Positioning with a monocular vision camera at a given height)
opencv_mfc
- 利用OpenCV和mfc 对摄像头进行调用。程序主要用的是c++编写的(Use OpenCV and MFC to call the camera. The program is mainly written by c++)
camera001
- QT实现GUI界面，opencv实现摄像头操作。(QT GUI interface; use opencv camera operation.)
test2
- 使用opencv 调用摄像头代码，并在电脑上显示摄像头采集图像。(Using OpenCV to call the camera code and display a camera on a computer to collect images.)
cameraCV
- （只能烧录进ARM开发板运行，谨慎下载） 调用开发板摄像头，对图像进行处理，识别停车位，辅助倒车。 各类图像处理参数可调((can only be burned into the ARM development board, carefully downloaded) The image is processed, the parking space is identified, and the reversing is assisted.)
opencamera1
- 在VS平台利用opencv调用usb摄像头(opencamera by opencv)
OpencvCamera
- 利用OpenCv 打开摄像头，显示图像(Open the camera and display the image)
摄像调用
- 采用C++与opencv 结合，编程实现USB摄像头的调用，可以采集图像实现拍照功能(The combination of C++ and opencv is used to program the call of the USB camera, and the image can be collected to realize the picture function.)
face
- 系统介绍：基于树莓派官方系统stretch 系统，系统内安装了opencv3.3.0以及 tensorflow1.1.0 。人脸识别门禁的代码在里面目录/home/pi/face。内安装了深度学习的案例。 程序启动说明：开机前连接树莓派摄像头或网络USB摄像头，网络摄像头无需下面的设置。如使用树莓派摄像头则在终端输入 sudo nano /etc/modules-load.d/modules.conf 在最后添加一行添加 bcm2835-v4l2 ctrl+O回车保存 ctrl
SLAM
- 利用orb特征对比连续关键帧，利用onepointRANSAC计算旋转角度（此代码处理的是在平面上运动的小车与水平方向成38度的摄像头拍摄的，提取关键帧之后的连续图片）(The use of orb features between continuous key frames, calculate the rotation angle by onepointRANSAC (this code processing is shooting 38 camera into the car and th
camera_calibration.tar
- 摄像头标定，适用于主流摄像头的标定。可运行，亲测。(The camera calibration is suitable for the calibration of the mainstream camera.)
select
- 本程序实现了人脸图片的快速采集，使用环境Python3.x,需要电脑连接摄像头，打开PythonIDLE，按下F5运行代码即可进行采集图片(This program has achieved the rapid acquisition of face images. The Python3.x of the environment needs computer to connect the camera, open PythonIDLE and press F5 to run the code
video_player2
- 视频播放以及摄像头捕获，基于opencv和mfc(video player and camera capture, based on opencv and mfc)
on_trackbar
- 网上很多opencv的帧差法资料，但是大都直接调用视频，或者调用摄像头，调用文件夹下的图片库的资料比较少，通过网上整理资料，终于利用opencv按照帧来处理图片。 使用opencv批量读取文件夹下的视频帧批量读取图片； 使用opencv批量读取图片，二帧差分法二帧差法；(There are many opencv frame difference data on the Internet, but most of them call the video directly or cal
【1】第一章
- 图像显示,opencv的开发配置环境，图像腐蚀，播放视频，调用摄像头(picture show and opencv surrounding and picture explode and watch video)
ParticleFilter-targettracking
- 使用粒子滤波方法对摄像头中手动选择区域进行跟踪，代码没有优化，跟踪效果一般，可以为初学者使用。(The particle filter method is used to track the manually selected area in the camera, the code is not optimized, the tracking effect is general, and it can be used by beginners.)