- Version: Ryzen AI Software v1.2
- Support: AMD Ryzen™ 7940HS, 7840HS, 7640HS, 7840U, 7640U, 8640U, 8640HS, 8645H, 8840U, 8840HS, 8845H, 8945H with Windows 11 OS.
Ryzen™ AI is a dedicated AI accelerator integrated on-chip with the CPU cores. The AMD Ryzen™ AI SDK enables developers to take machine learning models trained in PyTorch or TensorFlow and run them on laptops powered by Ryzen AI which can intelligently optimizes tasks and workloads, freeing-up CPU and GPU resources, and ensuring optimal performance at lower power.
In this Deep Learning(DL) tutorial, you will see how to deploy the Yolov8 detection model with ONNX framework on Ryzen AI laptop.
- AMD Ryzen AI Laptop with Windows 11 OS
- Visual Studio 2022 (with Desktop dev c++ & MSVC v143-vs2022 x64/x86 Spectre-mitigated libs)
- Anaconda or Miniconda
- Git
- openCV (version = 4.6.0)
- cmake (version >= 3.26)
- python (version = 3.10)
- NPU driver & NPU xclbin = 1.2 release
- voe package = 1.2 release
Please refer to the installation instructions to properlly install the Ryzen AI software.
There are some more libraries you need to install for the Yolov8 inference.
# pip install cmake
Output:
Collecting cmake
Obtaining dependency information for cmake from https://files.pythonhosted.org/packages/e0/67/3cc8ccb0cebac463033e1f8588328de32f8f85cfd9d3150c05b57b827893/cmake-3.27.4.1-py2.py3-none-win_amd64.whl.metadata
Downloading cmake-3.27.4.1-py2.py3-none-win_amd64.whl.metadata (6.8 kB)
Downloading cmake-3.27.4.1-py2.py3-none-win_amd64.whl (34.6 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.6/34.6 MB 147.5 kB/s eta 0:00:00
Installing collected packages: cmake
Successfully installed cmake-3.27.4.1
It is recommended to build OpenCV form source code and use static build. Git is required to clone the repository.
Start a Anaconda Prompt
. In your workspace, clone the repository
# git clone https://github.com/opencv/opencv.git -b 4.6.0
Then compile the OpenCV source code with cmake.
# cd opencv
# mkdir mybuild
# cd mybuild
# cmake -DCMAKE_EXPORT_COMPILE_COMMANDS=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_POSITION_INDEPENDENT_CODE=ON -DCMAKE_CONFIGURATION_TYPES=Release -A x64 -T host=x64 -G "Visual Studio 17 2022" '-DCMAKE_INSTALL_PREFIX=C:\Program Files\opencv' '-DCMAKE_PREFIX_PATH=.\opencv' -DCMAKE_BUILD_TYPE=Release -DBUILD_opencv_python2=OFF -DBUILD_opencv_python3=OFF -DBUILD_WITH_STATIC_CRT=OFF -B build -S ../
# cmake --build build --config Release
# cmake --install build --config Release
# cd ../..
All the dependencies on the Ryzen AI laptop are installed completely. User could run a Yolov8 deplomyment progress in cpp with int8 Yolov8 pre-quantized model in the following Section 4,
In the Anaconda Prompt
, clone the repository
# git clone https://github.com/amd/RyzenAI-SW.git
Then compile the Yolov8 source code.
# cd RyzenAI-SW/tutorial/yolov8_cpp/implement
# build.bat
The output will be generated as below.
......
-- Installing: C:/Users/fanz/Documents/Workspace/RyzenAI-SW/tutorial/yolov8_cpp/bin/camera_yolov8.exe
-- Installing: C:/Users/fanz/Documents/Workspace/RyzenAI-SW/tutorial/yolov8_cpp/bin/camera_yolov8_nx1x4.exe
-- Installing: C:/Users/fanz/Documents/Workspace/RyzenAI-SW/tutorial/yolov8_cpp/bin/test_jpeg_yolov8.exe
To validate your setup, the following command will do the inference with single image.
Please modify the conda env path in the batch file before execution.
Copy the vaip_config.json file to /tutorial/yolov8__cpp/bin from the Ryzen AI installation folder.
# run_jpeg.bat DetectionModel_int.onnx sample_yolov8.jpg
The output will be generated as below.
result: 0 person 490.38498 85.79535 640.00488 475.18262 0.932453
result: 0 person 65.96048 97.76373 320.66068 473.83783 0.924142
result: 0 person 182.15485 306.91266 445.14795 475.26132 0.893309
result: 27 tie 584.48022 221.15732 632.27008 244.21243 0.851953
result: 27 tie 175.62622 224.15210 235.84900 248.83557 0.651355
To run with live camera, user needs to change the display and camera settings manually as below.
Please modify the conda env name in the batch file before execution.
- Go to
Display settings
, change Scale to 100% in theScale & layout
section. - Go to
Bluetooth & devices
->Cameras
->USB2.0 FHD UVC WebCam
, turn off the Background effects in theWindows Studio Effects
section.
camera.bat
Possible options to run the yolov8 demo.
# camera.bat -h
Options:
-c [parallel runs]: Specifies the (max) number of runs to invoke simultaneously. Default:1.
-s [input_stream] set input stream, E.g. set 0 to use default camera.
-x [intra_op_num_threads]: Sets the number of threads used to parallelize the execution within nodes, A value of 0 means ORT will pick a default. Must >=0.
-y [inter_op_num_threads]: Sets the number of threads used to parallelize the execution of the graph (across nodes), A value of 0 means ORT will pick a default. Must >=0.
-D [Disable thread spinning]: disable spinning entirely for thread owned by onnxruntime intra-op thread pool.
-Z [Force thread to stop spinning between runs]: disallow thread from spinning during runs to reduce cpu usage.
-T [Set intra op thread affinities]: Specify intra op thread affinity string.
[Example]: -T 1,2;3,4;5,6 or -T 1-2;3-4;5-6
Use semicolon to separate configuration between threads.
E.g. 1,2;3,4;5,6 specifies affinities for three threads, the first thread will be attached to the first and second logical processor.
-R [Set camera resolution]: Specify the camera resolution by string.
[Example]: -R 1280x720
Default:1920x1080.
-r [Set Display resolution]: Specify the display resolution by string.
[Example]: -r 1280x720
Default:1920x1080.
-L Print detection log when turning on.
-h: help
The MIT License (MIT)
Copyright (c) 2022 Advanced Micro Devices, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.