25.1. TensorFlowLiteMicro-PersonDetection

25.1.1. Overview

The TFLM example demos the use of a camera to capture an image, perform human detection via the integrated TFLM machine learning platform, and display the results on screen

25.1.2. Configurations

  • Connect the camera device to the CAM interface on the board

  • Click LCD-800480W070TC section and connect

25.1.3. Code Options

  • Add code before find_package to the project’s CMakeLists.txt to get a higher performance

        set(RV_ABI "ilp32d")
    set(RV_ARCH "rv32gc")
    set(CONFIG_HPM_MATH_NN_RVP32 1)

25.1.4. Running the example

When the example runs successfully, The LCD will display the live screen, the processed image and the recognition result, while the serial terminal will output the score of whether someone is present or not

person score:-23 no person score 23