yuv

I'm trying to get high resolution uncompressed images through the camera of an Android phone (Samsung Galaxy S3), using OpenCV v2.4. I set width and height using VideoCapture.set(Highgui.CV_CAP_PROP_FRAME_WIDTH, width) and same for height, but whenever I go to a mid-high resolution, the following error starts appearing: ERROR reading YUV buffer: width=1600, height=1200, size=2880000, receivedSize=1036800 I'm guessing it means that the buffer is not big enough to store all the data, which I understand, but there must be some way to allocate a bigger buffer. Does anybody know how, or any

I am almost sure that this is much simpler than I think it is, but I have been scouring the internet for a much longer time than I care to admit to try and figure out how the frig to convert the two formats. I am able to extract the Y0, Cb, Y1, Cr data from a stream of unsigned bytes (unsigned char), but I have no idea how these bytes are arranged in YV12 - is this document implying that the various values are actually contained in different rows? I've literally been searching all day for things like "c++ convert YUY2 to YV12," and have turned up absolutely no tutorials or code samples. I

I am building an app that buffers N camera frames and when the user taps a button it saves the photo using all the saved frames applying an effect. I am saving the photo and processing the frames on an AsyncTask . When I execute it, I remove everything from the screen and leave only a TextView to display the progress of saving the photo. Currently the AsyncTask doInBackground looks like this: protected Void doInBackground(Integer... params) { int w = mBuffer.get(0).getWidth(); int h = mBuffer.get(0).getHeight(); int lineHeight = h / mBuffer.size(); int currentHeight = 0; Log.d("output",

本文引用了微信公众号“鲜枣课堂”的《视频编码零基础入门》文章内容。为了更好的内容呈现，引用和收录时内容有改动，转载时请注明原文来源信息，尊重原作者的劳动。 1、引言 如今我们所处的时代，是移动互联网时代，也可以说是视频时代。从快播到抖音，从“三生三世”到“延禧攻略”，我们的生活，被越来越多的视频元素所影响。 而这一切，离不开视频拍摄技术的不断升级，还有视频制作产业的日益强大。 此外，也离不开通信技术的飞速进步。试想一下，如果还是当年的56K Modem拨号，或者是2G手机，你还能享受到现在动辄1080P甚至4K的视频体验吗？ 除了视频拍摄工具和网络通信技术升级之外，我们能享受到视频带来的便利和乐趣，还有一个重要因素，就是视频编码技术的突飞猛进。 视频编码技术涉及的内容太过专业和庞杂，市面上的书籍或博客多数都只是枯燥的技术概念罗列，对于新手来说读完依旧蒙逼是常态，本文将借此机会，专门给大家做一个关于视频编码的零基础科普。 ▼ 本文涉及概念较多，为了方便阅读，本文的内容目录对应如下： 1、引言 2、系列文章 3、图像基础知识 3.1）什么是像素？ 3.2）什么是PPI？ 3.3）颜色在计算机里是如何表示的？ 4、视频编码基础知识 4.1）视频和图像和关系 4.2）未经编码的视频数据量会有多大？ 4.3）什么是编码？ 5、视频编码的实现原理 5.1）视频编码技术的基本原理 5.2

I get a runtime error if I try to convert camera preview YUV byte array to a RGB(A) byte array with Imgproc.cvtColor( mYUV_Mat, mRgba_Mat, Imgproc.COLOR_YUV420sp2RGBA, 4 ) in onPreviewFrame(byte[] data, Camera camera): Preview.java: mCamera.setPreviewCallback(new PreviewCallback() { public void onPreviewFrame(byte[] data, Camera camera) { // Pass YUV data to draw-on-top companion System.arraycopy(data, 0, mDrawOnTop.mYUVData, 0, data.length); mDrawOnTop.invalidate(); } }); DrawOnTop.java: public class DrawOnTop extends View { Bitmap mBitmap; Mat mYUV_Mat; protected void onDraw(Canvas canvas) {

I have to convert and display YUV420P images to RGB colorspace using the AMD GPU on a Freescale iMX53 processor (OpenGL ES 2.0, EGL). Linux OS, no X11. To achieve this I should be able to create an appropriate image holding the YUV420P data: this could be either a YUV420P/YV12 image type or 3 simple 8-bit images, one for each component (Y, U, V). glTexImage2D is excluded, because it's slow, the YUV420P frames are the results of a real time video decoding @25FPS and with glTexImage2D we can't keep the desired framerate. There's an alternative: eglCreateImageKHR/glEGLImageTargetTexture2DOES. The