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.
vvas-core is a simple C API based interface provided to implement Machine Learning applications. Vitis Video Analytics SDK (VVAS) 3.0 is based on this interface.
A helper script, ./build_install.sh, is provided in root of this repo to build and install vvas-core.
Example command to build for PCIe platform. Only V70 platform is supported.
./build_install.sh TARGET=PCIe PLATFORM=V70
Step 1 : Source sysroot path if not done already
source <sysroot path>/environment-setup-aarch64-xilinx-linux
Step 2 : Build
./build_install.sh TARGET=Edge
Step 3 : copy vvas-core to embedded board
scp install/vvas_base_installer.tar.gz <board ip>:/
Step 4 : Install VVAS on embedded board
cd /
tar -xvf vvas_base_installer.tar.gz