/VVAS

Vitis Video Analytics SDK

Primary LanguageCOtherNOASSERTION

Vitis™ Video Analytics SDK

Copyright and license statement

Copyright 2022 Xilinx Inc.

Copyright (C) 2022-2023 Advanced Micro Devices, Inc.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

View the Documentation

To clone this repo:

git clone --recurse-submodules https://github.com/Xilinx/VVAS.git

Folder Structure

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

Build and install VVAS essentials for embedded solutions:

A helper script, ./build_install_vvas.sh, is provided in root of this repo to build and install VVAS components.

Step 1 : Source sysroot path if not done already

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

Step 2 : Build

	./build_install_vvas.sh Edge

Step 3 : copy VVAS installer to embedded board

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

Step 4 : Install VVAS on embedded board

	cd /
	tar -xvf vvas_installer.tar.gz