第三步:下载和编译omz github源码 $ git clone https://github.com/openvinotoolkit/open_model_zoo.git $ cd open_model_zoo/demos $ source /opt/intel/openvino/setupvars.sh $ ./build_demos.sh 编译成功的demo路径在~/omz_demos_build/intel64/Release/ • 编译报错1: CMake Error at CMakeLists.t...
demo2结果 至此,toolkit安装完毕,回到一开始的model_zoo. 可以发现,在安装的toolkit的目录下也有model_downloader之类的。 自己将clone下来的该项目demos链接到了这个目录下,然后进行操作。 在demos目录下 mkdir build cd build #开始编译 cmake -DCMAKE_BUILD_TYPE=Release /opt/intel/computer _vision_sdk_2018.3....
We welcome community contributions to the Open Model Zoo repository. If you have an idea how to improve the product, please share it with us doing the following steps: Make sure you can build the product and run all the demos with your patch. In case of a larger feature, provide a rele...
demo2结果 至此,toolkit安装完毕,回到一开始的model_zoo. 可以发现,在安装的toolkit的目录下也有model_downloader之类的。 自己将clone下来的该项目demos链接到了这个目录下,然后进行操作。 在demos目录下 mkdir buildcd build#开始编译cmake -DCMAKE_BUILD_TYPE=Release /opt/intel/computer _vision_sdk_2018.3.343/...
"object_detection_demo_ssd_async" demo as well as some others. There is a "object_detection_demo" so I perhaps the Object Detection Demos have been put into a single demo. As a result, the demo for "object_detection_demo_ssd_async" shown on the "Building...
We welcome community contributions to the Open Model Zoo repository. If you have an idea how to improve the product, please share it with us doing the following steps: Make sure you can build the product and run all the demos with your patch. ...
We welcome community contributions to the Open Model Zoo repository. If you have an idea how to improve the product, please share it with us doing the following steps: Make sure you can build the product and run all the demos with your patch. ...
openvino_2020.1.033\bin”并执行”setupvars.bat”配置环境变量;”cd C:\Program Files (x86)\IntelSWTools\openvino_2020.1.033\deployment_tools\open_model_zoo\demos”并执行”build_demos_msvc.bat VS2017”进行编译,生成相关的库文件,默认在目录” C:\Users\username\Documents\Intel\OpenVINO\omz_demos_build...
$ git clone --recurse-submodules https://ghproxy.com/https://github.com/openvinotoolkit/open_model_zoo.git 向右滑动查看完整代码 安装依赖包 $ pip install open_model_zoo/demos/common/python 向右滑动查看完整代码 进入模型的下载目录,查看可下载的模型 ...
首先,从PipeCNN自己的ModelZoo下载预先训练的CNN模型、输入测试向量和黄金参考文件(说明位于每个项目文件夹中的“数据”文件夹中)。将数据放在正确的文件夹中。然后,使用提供的Makefile编译项目。完成编译后,只需键入以下命令即可运行PipeCNN: ./run.exe conv.aocx ...