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Windows，Linux，Mac OS X平台下的音视频流的传输播放系统，支持MPEG4/H.261/MPEG2/H.263 MP3/AAC/AMR等不同编码格式,Windows, Linux, Mac OS X platform audio and video stream broadcast transmission systems to support MPEG4/H.261/MPEG2/H.263 MP3/AAC/AMR different encoding format, etc.
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基于openCV得视频流得运动物体提取，内置测试视频。效果不错,需要安装openCV -Video stream may be based on openCV moving object extraction, built-in test video. Well, you need to install openCV
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opencv和mfc 读出视频流进行处理后并保存-opencv read out the video stream and save it
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基于opencv的图像处理程序，包括读入视频，在视频流中找到一个同心圆并识别，在圆心标记绿色圆圈-Opencv-based image processing procedures, including the read video, the video stream to find and identify a concentric circle, green circle in the center of the circle marked
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在VS2008下测试openCV是否配置成功的摄像头启动程序，该代码从摄像头采集视频流-In VS2008 the test openCV is configured successful camera to start the program, the code from the camera to capture video stream
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基于opencv 音频视频开发，其中源源代码可以直接运行于Visual C6.0
-Based on the the opencv audio video development, in which stream of code can be run directly in the Visual C6.0
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使用opencv对已有的图像进行码流等变换之后输出到指定的视频中。希望对学习opencv的朋友有所帮助-Opencv using existing images such as bit-stream output, after conversion to the specified video. Hope of learning opencv friends help
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通过读取视频流，基于OpenCV建立背景模型，以用于前景检测-By reading the video stream, based on the OpenCV ，generate background model for the foreground pixels detection
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寻找轮廓实现视频流运动目标检测，基于OPENCV开发，开发环境VC6.0-To find the outline of the video stream to achieve moving target detection, based on the OPENCV development, development environment VC6.0
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视频流中一种独立更新各个像素点的背景更新方法。基于高斯模型。基于opencv库函数。-Video stream in a stand-alone update all the background pixels to update method. Based on the Gaussian model. Based on the opencv library function.
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通过寻找轮廓实现视频流的运动目标检测，本函数基于OPenCV实现-Realization of the video stream by looking for contour moving target detection, implementation of this function is based on the OPenCV
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调用OpenCV库，该程序可以用于从摄像头捕获视频流，并新建一个窗口用于显示视频流。-Call OpenCV library, the program can be used to capture video stream from the camera, and create a window for displaying video stream.
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OpenCV环境从摄像头下获取视频流并处理-OpenCV environment from the camera to obtain video stream and processed under
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OPENCV视频跟踪的视频流，希望能用来跟踪-OPENCV video tracking of the video stream, hoping to track
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Takes a video stream as input and applies Red color segmentation for each frame in the RGB color space.The code uses OpenCv library.
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This short program shows how a live video stream from a web cam (or from a video file) can be rendered in OpenGL as a texture. The live video stream is captured using the Open Source Computer Vision library (OpenCV). The program also shows how an Ope
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opencv 从摄像头或者AVI文件中得到视频流，对视频流进行边缘检测，并输出结果-opencv from camera or AVI file to get video streaming, video stream edge detection, and output
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基于opencv的use摄像头视频采集程序 1
基于opencv的两个摄像头数据采集 3
能激发你用代码做视频的冲动程序 6
图像反转（就是把黑的变白，白的变黑） 11
图像格式的转换 12
从摄像头或者AVI文件中得到视频流，对视频流进行边缘检测 13
采用Canny算子进行边缘检测 15
角点检测 18
图像的旋转加缩放（效果很拽，用地球做就像谷歌地球似的） 21
Log-Polar极坐标变换 22
对图像进行形态学操作（图像的开闭，腐蚀和膨胀运算）
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深度学习 + OpenCV，Python实现实时视频目标检测(We learned how to use deep learning + OpenCV + video stream to perform real-time object detection)
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1.调用DirectShow查询UVC设备信息；
2.调用OpenCV打开设备，设置视频流参数，读取视频流，录制视频，播放视频；
3.计算帧率；(1. Call DirectShow search UVC information;
2. Call OpenCV to open the device, set the video stream parameters, read the video stream, record video, play video;
3. Calculate
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