Design Overview


This module shows how to move the 2D convolution filter from software to hardware using the PL optimized xfopencv library that provides an OpenCV equivalent function.

btrd_dm8_2017.4.jpg



Design Components


This module requires the following components:
  • zcu102_base_trd (SDSoC)
  • filter2d_sds (HW)
  • filter2d (plugin)
  • video_lib
  • video_qt2



Build Flow Tutorials


2D Filter Sample


This tutorial shows how to build the hls_video version of the 2D filter sample based on the Base TRD SDSoC platform.

  • Set the SYSROOT environment variable. This requires that you have previously completed the PetaLinux build step.
    Note 1 : Make sure you set the env variable in the same shell that is used to launch SDx. Also make sure the env variable is set before starting SDx, otherwise close and re-start SDx.
    Note 2: The below command assumes you are using the default yocto tmp directory. If you are using a custom yocto tmp directory, you need to modify the path accordingly.
    % export SYSROOT=$TRD_HOME/apu/petalinux_bsp/tmp/sysroots/plnx_aarch64
  • Open the existing SDx workspace from design module 7 using the SDx tool.
    % cd $TRD_HOME/apu/video_app
    % sdx -workspace . &
  • Create a new SDx Project and select 'Application Project' in the following dialog.
    dm8_filter2d_sds_prj_2017.4.jpg
  • Enter 'filter2d_sds' as project name
    dm8_filter2d_sds_name_2017.4.jpg
  • Click 'Add Custom Platform', browse to the $TRD_HOME/apu/sdsoc_pfm directory and confirm. Select the newly added zcu102_base_trd (custom) platform for production silicon or zcu102_es2_base_trd (custom) for ES2 silicon from the list and click 'Next'.
    dm8_cust_pfm_2017.4.jpg
  • Check the 'Shared Library' box and click 'Next'.
    dm8_shared_lib_2017.4.jpg
  • Select the '2D Filter Library' template and click 'Finish'.
    dm8_sample_filter2d_2017.4.jpg
  • Wait until the C/C++ indexer is finished (status bar in the bottom right corner).
  • Change the 'Active build configuration' to Release in the SDx Project Settings window.
  • Make sure the read_f2d_input, filter2D, write_f2d_output functions are listed in the HW functions pane.
  • Make sure the 'Generate bitstream' and 'Generate SD card image' options are checked.
    dm8_filter2d_settings_2017.4.jpg
  • Right-click the filter2d_sds project and select 'Build Project'.
  • Copy the content of the generated sd_card folder to the dm8 SD card directory
    % mkdir -p $TRD_HOME/images/dm8
    % cp -r filter2d_sds/Release/sd_card/* $TRD_HOME/images/dm8

Video Qt Application


This tutorial shows how to build the video library and the video Qt application.

  • Add the WITH_SDSOC symbol in the filter2d 'C/C++ Build Settings -> Settings -> Symbols' by clicking the green '+' icon. Right-click the filter2d project and select Build 'Project'.
  • Add the WITH_SDSOC symbol in the video_lib 'C/C++ Build Settings -> Settings -> Symbols' by clicking the green '+' icon.
  • Source the Qt setup script and generate the Qt Makefile.
    % cd $TRD_HOME/apu/video_app/video_qt2
    % source qmake_set_env.sh
    % qmake video_qt2-dm8.pro -r -spec linux-oe-g++
  • Close SDx and reopen the same workspace so the Qt environment gets picked up correctly by eclipse. If you have sourced the qmake_set_env.sh script in the same shell before opening SDx, you can skip this step.
  • Right-click the video_qt2 project and click 'Build Project'.
    base-trd-2016-3-dm5-video-qt-build.png
  • Copy the generated video_qt2 executable to the dm8 SD card directory.
    % cp video_qt2 $TRD_HOME/images/dm8/



Run Flow Tutorial


  • See here for board setup instructions.
  • Copy all the files from the $TRD_HOME/images/dm8 SD card directory to a FAT formatted SD card.
  • Power on the board to boot the images; make sure INIT_B, done and all power rail LEDs are lit green.
  • After ~30 seconds, the display will turn on and the application will start automatically, targeting the max supported resolution of the monitor (one of 3840x2160 or 1920x1080 or 1280x720). The application will detect whether DP Tx or HDMI Tx is connected and output on the corresponding display device.
  • To re-start the TRD application with the max supported resolution, run
    % run_video.sh
  • To re-start the TRD application with a specific supported resolution use the -r switch e.g. for 1920x1080, run
    % run_video.sh -r 1920x1080
  • The user can now control the application from the GUI's control bar (bottom) displayed on the monitor.
  • The user can select from the following video source options:
    • TPG (SW): virtual video device that emulates a USB webcam purely in software
    • USB: USB Webcam using the universal video class (UVC) driver
    • TPG (PL): Test Pattern Generator implemented in the PL
    • HDMI: HDMI input implemented in the PL
  • The user can select from the following accelerator options:
    • Passthrough (no accelerator)
    • 2D convolution filter with configurable coefficients
  • The supported accelerator modes depend on the selected filter:
    • SW - accelerator is run on A53
    • HW - accelerator is run on PL
    dm8_2017.4.jpg
  • The video info panel (top left) shows essential settings/statistics.
  • The CPU utilization graph (top right) shows CPU load for each of the four A53 cores.



Return to the Design Tutorials Overview.