Download a suitable version and install.
Run this command in cmd. (Every time before using OpenVINO)
| Name |
Value |
| INTEL_OPENVINO_DIR |
\openvino_2021
|
| INTEL_CVSDK_DIR |
%INTEL_OPENVINO_DIR% |
| InferenceEngine_DIR |
%INTEL_OPENVINO_DIR%\deployment_tools\inference_engine\share |
| HDDL_INSTALL_DIR |
%INTEL_OPENVINO_DIR%\deployment_tools\inference_engine\external\hddl |
| ngraph_DIR |
%INTEL_OPENVINO_DIR%\deployment_tools\ngraph\cmake |
And add this to Path
%INTEL_OPENVINO_DIR%\deployment_tools\inference_engine\bin\intel64\Debug;%INTEL_OPENVINO_DIR%\deployment_tools\inference_engine\bin\intel64\Release;%HDDL_INSTALL_DIR%\bin;%INTEL_OPENVINO_DIR%\deployment_tools\inference_engine\external\tbb\bin;%INTEL_OPENVINO_DIR%\deployment_tools\ngraph\lib
Linux
Run this command in shell. (Every time before using OpenVINO)
source /opt/intel/openvino_2021/bin/setupvars.sh
Or edit .bashrc
vi ~/.bashrc
Add this line to the end of the file
source /opt/intel/openvino_2021/bin/setupvars.sh
Convert model
Convert to OpenVINO
cd <INSTSLL_DIR>/openvino_2021/deployment_tools/model_optimizer
Install requirements for convert tool
cd ./install_prerequisites
sudo install_prerequisites_onnx.sh
Then convert model. Notice: mean_values and scale_values should be the same with your training settings in YAML config file.
python3 mo_onnx.py --input_model <ONNX_MODEL> --mean_values [103.53,116.28,123.675] --scale_values [57.375,57.12,58.395]
Build
Windows
<OPENVINO_INSTSLL_DIR>\openvino_2021\bin\setupvars.bat
mkdir -p build
cd build
cmake ..
msbuild picodet_demo.vcxproj /p:configuration=release /p:platform=x64
Linux
source /opt/intel/openvino_2021/bin/setupvars.sh
mkdir build
cd build
cmake ..
make
Run demo
Download PicoDet openvino model PicoDet openvino model download link.
move picodet openvino model files to the demo's weight folder.
Edit file
step1:
main.cpp
#define image_size 416
...
auto detector = PicoDet("../weight/picodet_m_416.xml");
...
step2:
picodet_openvino.h
#define image_size 416
Webcam
picodet_demo 0 0
Inference images
picodet_demo 1 IMAGE_FOLDER/*.jpg
Inference video
picodet_demo 2 VIDEO_PATH
Benchmark
picodet_demo 3 0
