Velovatik / SummerPractice2022

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SummerPractice2022

The stack of technologies that were used when writing the solution

Kaspersky OS, GPIO, rapidjson, opencv, tensorflow, keras, tensorflow-object-detection-api, vott, pyqt5

Tasks

  • Created KOS image for GPIO which have rapidjson library to deserialize json
  • Engine correctly work
  • NN have 91% chance to recognize objects
  • Client application
  • ML for build trajectories and angles, sending commands by TCP
  • TCP on KOS
  • Acceptable design

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Language:Python 57.3%Language:CMake 18.2%Language:C++ 12.1%Language:C 8.6%Language:Shell 3.7%