Vitis™ Video Analytics SDK

To clone this repo:

git clone https://github.com/Xilinx/VVAS.git

View the Documentation

Folder Structure

• ivas-utis core contains infrastructure libraries for VVAS gstreamer plugins and kernel libraries
• ivas-gst-plugins contains VVAS specific gstreamer plugins
• ivas-accel-sw-libs contains VVAS specific kernel libs which are supported by VVAS gstreamer infrastructure plugins
• ivas-accel-hw contains VVAS HW kernels which can be build with vitis
• ivas-examples contains examples for using VVAS stack
• ivas-platform contains sample VVAS platforms

Note: Compile and installation of VVAS software libraries need to follow below sequence:

	First  : ivas-utils
	Second : ivas-gst-plugins
	Third  : ivas-accel-sw-libs

Build and install VVAS essentials for embedded:

Following are the three VVAS folders which are essential to build the VVAS software stack for any platform:

	ivas-utils, ivas-gst-plugins and ivas-accel-sw-libs

A helper script is provided in root of this repo to build and install VVAS essentials for embedded devices.

Step 1 : Source sysroot

	source <sysroot path>/environment-setup-aarch64-xilinx-linux

Step 2 : Build

	./build-ivas-essential.sh Edge

Step 3 : copy VVAS installer to embedded board

	scp install/ivas_installer.tar.gz <board ip>:/

Step 4 : Install VVAS on embedded board

	cd /
	tar -xvf ivas_installer.tar.gz

Steps to install meson:

VVAS build system uses meson to build, following are the steps to install meson locally:

sudo apt-get install python3 python3-pip python3-setuptools python3-wheel ninja-build
pip3 install meson 
pip3 install ninja
Above steps installs meson in  /home/<username>/.local/bin/meson, so change PATH env to point using
export PATH= /home/<username>/.local/bin/meson:$PATH

Note: In case pip3 is not installed in system run the following command

python3 -m pip install --user --upgrade pip==20.2.2