Neural Networks Use Cases

Neural Networks Use Cases

Neural Networks Use Cases

The sample application demonstrates the use of Yollov3, Yollov7, and Nanodet neural networks in computer vision.

Terms of Use and Participation

The source code of the project is provided under the license, which allows its use in third-party applications.

The contributor agreement documents the rights granted by contributors of the Open Mobile Platform.

Code of conduct is a current set of rules of the Open Mobile Platform which informs you how we expect the members of the community will interact while contributing and communicating.

Information about the contributors is specified in the AUTHORS file.

Project Structure

The project has a standard structure of an application based on C++ and QML for Aurora OS.

app subproject contains the application source code:

Compatibility

The project is compatible with all current versions of the Aurora OS.

Project Building

To build the project it needs to increase the Build Engine virtual machine RAM. It is required to allocate 500 MB RAM to the virtual machine for each processor core. For example, if Build Engine has 4 processor cores, then its RAM must be at least 2000 MB.

To build OpenCV library it uses CMake. The Cmake running configuration is described inside the CMakeLists.txt file. The shared libraries and include files of OpenCV library will be built into the <build-project-dir>/opencv directory. The shared libraries files of OpenCV library will be installed into the /usr/share/ru.auroraos.NeuralNetworksUseCases/lib/ directory on the Aurora OS device.

The shared libraries and include files of Ncnn library will be built into the <build-project-dir>/ncnn directory. The shared libraries files of Ncnn library will be installed into the /usr/share/ru.auroraos.NeuralNetworksUseCases/lib/ directory on the Aurora OS device.

Screenshots

screenshots

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