///////////////////////////create device node /dev/galcore///////////////////////////// $home/myandroid/kernel_imx/drivers/mxc/gpu-viv/Kbuild MODULE_NAME ?= galcore /* define node name*/ $home/myandroid/kernel_imx/drivers/mxc/gpu-viv/hal/os/linux/kernel/gc_hal_kernel_linux.h define DEVICE_NAME "galcore" $home/myandroid/kernel_imx/drivers/mxc/gpu-viv/hal/os/linux/kernel/gc_hal_kernel_probe.c drv_init call ret = register_chrdev(major, DEVICE_NAME, &driver_fops); ///////////////////////////////opengles2 functios/////////////////////////////////////////// myandroid/device/fsl-proprietary/gpu-viv/lib/egl/libGLESv2_VIVANTE.so glActiveTexture glBindBuffer ... ... ... //those glxxxxxx call into sub_D40C int __fastcall sub_D40C(int a1, int a2, int a3) //address 0x0000D40C { int result; // r0@1 int v4; int v5; v4 = a2;   v5 = a3;   gcoOS_GetTLS(&v4);  //------------> goto libGAL.so   result = v4;   if ( v4 )     result = *(_DWORD *)(v4 + 36);   return result; } and $home/myandroid/device/fsl-proprietary/gpu-viv/lib/libGAL.so //export function signed int __fastcall gcoOS_GetTLS(void **a1) { ... ... gcoOS_GetTLS v4 = open("/dev/galcore", 2); ... ... } and device node /dev/galcore pass command into module galcore $home/myandroid/kernel_imx/drivers/mxc/gpu-viv/hal/kernel/gc_hal_kernel.c gckKERNEL_Dispatch This document was generated from the following discussion: Share Vivante 3d gc2000 work flow

MIPI can support video streaming over 1, 2, 3 and 4 lanes. On i.MX6 Sabre boards, the OV5640 camera supports 1 or 2 lanes and the NXP Linux Kernel uses 2 lanes as default. In order to use only one lane, follow the steps below: 1 - Change the board Device Tree on Linux Kernel. On file <linux kernel folder>/arch/arm/boot/dts/imx6qdl-sabresd.dtsi, find the entry "&mipi_csi" and change lanes from 2 to 1. 2 - Configure OV5640 to use only one lane instead of two. On file <linux kernel folder>/drivers/media/platform/mxc/capture/ov5640_mipi.c, change the register 0x300e value from 0x45 to 0x05. This register setup is located at struct ov5640_init_setting_30fps_VGA. 3 - Build the kernel and device tree files. 4 - Test the camera. Unit test can be used to test the video capture: /unit_tests/mxc_v4l2_overlay.out -di /dev/video1 -ow 1024 -oh 768 -m 1 5 - Checking if it's really using one lane. MIPI_CSI_PHY_STATE resgister (address 0x021D_C014) provides the status of all data and clock lanes. During video streaming using 2 lanes, the register value constantly changes its value between 0x0000_0300 and 0x0000_0330. When using only one lane, this register value constantly changes its value between 0x0000_0300 and 0x0000_0310. To read the register value during the stream, run the video test with &: /unit_tests/mxc_v4l2_overlay.out -di /dev/video1 -ow 1024 -oh 768 -m 1 & Now, run the memtool: /unit_tests/memtool -32 0x021dc014 1 i.MX6DL running mxc_v4l2_overlay.out with only one lane:

All Boards Creating App MP3 OpenEmbedded

When streaming, if you want to play a streaming URL, it can be inconvenient if the browser cannot recognize the URL as a media stream and downloads the content rather than using Gallery to play it. To create this kind of media streaming, you need to write an apk to use VideoView to play the URL/media stream from the console. Here is the command of how to play a media file or network stream from console. Gingerbread am start -n com.cooliris.media/com.cooliris.media.MovieView -d "<URL>"       The URL can be file position or network stream URL, such as: you can play a local file by: am start -n com.cooliris.media/com.cooliris.media.MovieView -d "/mnt/sdcard/test.mp4" You can also play a http stream by: am start -n com.cooliris.media/com.cooliris.media.MovieView -d "http://v.iask.com/v_play_ipad.php?vid=76710932" Or play a rtsp stream by: am start -n com.cooliris.media/com.cooliris.media.MovieView -d "rtsp://10.0.2.1:554/stream" ICS am start -n com.android.gallery3d/com.android.gallery3d.app.MovieActivity -d "<URL>"        The URL has the same definition of Gingerbread.

This PDF is training material for showing examples on video encoding, video decoding, video streaming on an i.MX53QSB board.

The following document contains a list of document, questions and discussions that are relevant in the community based on amount of views. If you are having a problem, doubt or getting started in i.MX processors, you should check the following links to see if your doubt is in there. Yocto Project Freescale Yocto Project main page‌ Yocto Training - HOME‌ i.MX Yocto Project: Frequently Asked Questions‌ Useful bitbake commands‌ Yocto Project Package Management - smart  How to add a new layer and a new recipe in Yocto  Setting up the Eclipse IDE for Yocto Application Development Guide to the .sdcard format  Yocto NFS &amp; TFTP boot  YOCTO project clean  Yocto with a package manager (ex: apt-get)  Yocto Setting the Default Ethernet address and disable DHCP on boot.  i.MX x Building QT for i.MX6  i.MX6/7 DDR Stress Test Tool V3.00  i.MX6DQSDL DDR3 Script Aid  Installing Ubuntu Rootfs on NXP i.MX6 boards  iMX6DQ MAX9286 MIPI CSI2 720P camera surround view solution for Linux BSP i.MX Design&amp;Tool Lists  Simple GPIO Example - quandry  i.MX6 GStreamer-imx Plugins - Tutorial &amp; Example Pipelines  Streaming USB Webcam over Network  Step-by-step: How to setup TI Wilink (WL18xx) with iMX6 Linux 3.10.53  Linux / Kernel Copying Files Between Windows and Linux using PuTTY  Building Linux Kernel  Patch to support uboot logo keep from uboot to kernel for NXP Linux and Android BSP (HDMI, LCD and LVDS)  load kernel from SD card in U-boot  Changing the Kernel configuration for i.MX6 SABRE  Android  The Android Booting process  What is inside the init.rc and what is it used for.  Others How to use qtmultimedia(QML) with Gstreamer 1.0

BSP version: 11.03 Multimedia Package version: 11.03 1. Install BSP and Multi Media package (11.03 release) 2. Avoid Display Timeout: append the following line to rootfs/etc/oprofile: echo -e -n '\033[9]' > /dev/tty0 3. Set VGA port as the primary display in the kernel command line: video=mxcdi1fb:GBR24,VGA-XGA di1_primary vga 4. Connect a VGA monitor and WVGA display to the MX53 Quick Start 5. Boot Linux on MX53 Quick Start board (NFS is used in this example) 6. Unblank WVGA display (fb1): $ echo 0 > /sys/class/graphics/fb1/blank 7. On the target enter into /dev/shm directory. If the following files are present: vss_lock vss_shmem ,delete them. 8. On your host, edit the ltib/rootfs/usr/share/vssconfig as following: vss device definition Master=VGA, Slave=WVGA master display [VGA] type = framebuffer format = RGBP fb_num = 2 main_fb_num = 0 vs_max = 4 slave display [WVGA] type = framebuffer format = RGBP fb_num = 1 vs_max = 4 9. Run the Gstreamer pipeline below: gst-launch filesrc location=file.mp4 ! qtdemux ! mfw_vpudecoder ! mfw_isink display=VGA display-1=WVGA Video is played on the VGA and WVGA panels. A 720p file can be played at the same time.

Audio transcoding # Transcode the input file into MP3 gst-launch filesrc location=media_file typefind=true ! beepdec ! mfw_mp3encoder ! matroskamux ! filesink location=output_audio_file.mk Audio transcoding + streaming # Transcode the input file into MP3 and stream it # On host, get the transcoded audio data gst-launch udpsrc port=8880 ! <CAPS_FROM_THE_TARGET> ! queue ! ffdec_mp3 ! alsasink # where <CAPS_FROM_THE_TARGET> can be something like 'audio/mpeg, mpegversion=(int)1, layer=(int)3, rate=(int)44100, channels=(int)2' # run the pipeline and check the caps gst-launch filesrc location=media_file typefind=true ! queue ! beepdec ! mfw_mp3encoder ! udpsink host=10.112.103.77 port=8880 -v Video Transcoding* # Transcode the input file into AVC (H-264) gst-launch filesrc location=media_file typefind=true ! aiurdemux name=demux ! queue ! vpudec ! vpuenc codec=avc ! matroskamux name=mux ! filesink location=output_media_file.mk Video Transcoding + scaling* # Transcode the input file into AVC (H264) and rescale video to 480p gst-launch filesrc location=media_file typefind=true ! aiurdemux name=demux ! queue ! vpudec ! mfw_ipucsc ! 'video/x-raw-yuv, width=(int)720, height=(int)480' ! vpuenc codec=avc ! matroskamux name=mux ! filesink location=output_media_file.mk Video transcoding + scaling + streaming* # NOTE: Run the pipelines in the presented order # On host, get the transcoded+scaled video data $ gst-launch udpsrc port=8888 ! <CAPS_FROM_THE_TARGET> ! queue ! ffdec_h264 ! xvimagesink # On target, run the pipeline and check the caps gst-launch filesrc location=media_file typefind=true ! aiurdemux name=demux ! queue ! vpudec ! mfw_ipucsc ! 'video/x-raw-yuv, width=(int)720, height=(int)480' ! vpuenc codec=avc ! udpsink host=$HOST_IP port=8888 -v * There is a limit for the number of pipelines which can be run simultaneously, for high resolution input files, at most two for 1080p and four for 720p.

This document describes the i.MX 8MM EVK mini-SAS connectors features on Linux and Android use cases, covering the supported daughter cards, the process to change Device Tree (DTS) files or Boot images, and enable these different display options on the board.

[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-342059 

What is HTML5 Video? HTML5 video is an element for the purpose of playing videos or movies in HTML5 specification. HTML5 video is intended by its creators to become the new standard way to show video on the web without plugins. Video will be shown inside the web page, like flash. HTML5 Video Web Page <video> element example <video src="movie.mp4" poster="movie.jpg" controls> </video> HTML5 video page source example <html>           <head>           </head>            <body>                      <video src="http://10.192.225.226/movie.mp4" width="640" height="480"  controls="true">                      </video>            </body> </html> HTML5 Video Rendering Path Performance Data in i.MX6Q with Android ICS With LVDS display, H264@1080p@20Mbps Can reach 30 fps With HDMI 1080p display, H264@1080p@10Mbps Can reach 25 fps HTML5 Video Website Some HTML5 Video website when accessing with android platform www.youtube.com www.iqiyi.com HTML5 reference document SPEC         http://dev.w3.org/html5/spec/single-page.html?utm_source=dlvr.it&utm_medium=feed Wikipedia page        http://en.wikipedia.org/wiki/HTML5

gst-launch is the tool to execute GStreamer pipelines. Task Pipeline Looking at caps gst-launch -v  <gst elements> Enable log gst-launch --gst-debug=<element>:<level> gst-launch --gst-debug=videotestsrc:5 videotestsrc ! filesink location=/dev/null

OpenCV is a computer vision library originally developed by Intel. It is free for commercial and research use under the open source BSD license. The library is cross-platform. It focuses mainly on real-time image processing; as such, if it finds Intel's Integrated Performance Primitives on the system, it will use these commercial optimized routines to accelerate itself. Application OpenCV's application areas include: * 2D and 3D feature toolkits * Egomotion estimation * Face Recognition * Gesture Recognition * Human-Computer Interface (HCI) * Mobile robotics * Motion Understanding * Object Identification * Segmentation and Recognition * Stereopsis Stereo vision: depth perception from 2 cameras * Structure from motion (SFM) * Motion Tracking To support some of the above areas, OpenCV includes a statistical machine learning library that contains: * Boosting * Decision Trees * Expectation Maximization * k-nearest neighbor algorithm * Naive Bayes classifier * Artificial neural networks * Random forest * Support Vector Machine Installing OpenCV on i.MX 51 EVK Board running Ubuntu Linux Assuming that you already have the Ubuntu Linux running on your board, you can use this wiki page to guide you to get your USB camera running on your system in order to use real time image processing features of this library. In a brand new installation of Ubuntu some libraries is not installed by default, so you need to install them by your own hands (use synaptic to do that), here is the list of these libraries: libgtk2.0-dev libjpeg62-dev zlib1g-dev libpng12-dev libtiff4-dev libjasper-dev libgst-dev libgstreamer0.10-dev If you already have some of those libraries installed, make sure that is the DEV version. After installing those libraries you can download the stable OpenCV version here. Install it following the procedure below: 1 - untar the opencv package tar -xvzf opencv-1.1pre1.tar.gz  2 - change to OpenCV folder cd opencv-1.1.0  3 - configure the installation enabling gstreamer and letting to compile demo apps later ./configure --with-gstreamer --disable-apps You will get the following results: General configuration ================================================       Compiler:                         g++       CXXFLAGS:       DEF_CXXFLAGS:             -Wall -fno-rtti -pipe -O3 -fomit-frame-pointer       PY_CXXFLAGS:               -Wall -pipe -O3 -fomit-frame-pointer       OCT_CXXFLAGS:             -fno-strict-aliasing -Wall -Wno-uninitialized -pipe -O3 -fomit-frame-pointer        Install path:                      /usr/local  HighGUI configuration ================================================       Windowing system --------------       Use Carbon / Mac OS X:        no       Use gtk+ 2.x:                        yes       Use gthread:                         yes       Image I/O ---------------------       Use ImageIO / Mac OS X:       no       Use libjpeg:                            yes       Use zlib:                                yes       Use libpng:                             yes       Use libtiff:                               yes       Use libjasper:                          yes       Use libIlmImf:                          no             Video I/O ---------------------       Use QuickTime / Mac OS X:     no       Use xine:                                no       Use gstreamer:                        yes       Use ffmpeg:                             no       Use dc1394 & raw1394:     no       Use v4l:                                   yes       Use v4l2:                                 yes       Use unicap:                             no     Wrappers for other languages =========================================       SWIG Python                          no       Octave                                    no       Additional build settings ============================================       Build demo apps                      no Now run make ... 4 - Build OpenCV ./make 5 - Install OpenCV ./sudo make install if all steps above were executed properly, now you can compile the sample applications: 1 - change to samples/c directory cd samples/c 2 - change the build_all script mode to +x chmod +x build_all.sh 3 - run the script ./build_all.sh Now you can test. The results below were taken from the Laplacian filter sample processing in real-time images grabbed from an USB camera: Laplacian filter with USB Camera capture device Also, you can see how is it performance on a 3 windowed application performing color conversion and canny edge detection at the same time: http://www.youtube.com/watch?v=w9yQgdABT7c EOF !