Skip to content

Latest commit

 

History

History
41 lines (31 loc) · 1.53 KB

README.md

File metadata and controls

41 lines (31 loc) · 1.53 KB
Raw

vvas-core

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.

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.

Build and install VVAS essentials for embedded solutions:

A helper script, ./build_install.sh, is provided in root of this repo to build and install vvas-core.

For PCIe platform

Example command to build for PCIe platform. Only V70 platform is supported.

./build_install.sh TARGET=PCIe PLATFORM=V70

For Edge platform

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