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tflm_label_image for FRDMIMXRT700

tflm_label_image for FRDMIMXRT700#

Overview#

This example demonstrates image classification using TensorFlow Lite Micro with the Neutron NPU on FRDMIMXRT700 board.

Model#

The example uses a MobileNet V1 model (0.25 128x128 quantized INT8) compiled for the Neutron NPU.

  • Model file: pcq_npu/mobilenet_v1_0.25_128_quant_int8_npu.tflite

  • Model data: pcq_npu/model_data.h

  • Ops file: pcq_npu/model_mobilenet_ops_npu.cpp

Building#

# armgcc flash_release
west build -p always -b frdmimxrt700 examples/eiq_examples/tflm_label_image \
    --toolchain armgcc -Dcore_id=cm33_core0 --config flash_release -d build

# iar flash_release
west build -p always -b frdmimxrt700 examples/eiq_examples/tflm_label_image \
    --toolchain iar -Dcore_id=cm33_core0 --config flash_release -d build

# mdk flash_release
west build -p always -b frdmimxrt700 examples/eiq_examples/tflm_label_image \
    --toolchain mdk -Dcore_id=cm33_core0 --config flash_release -d build

Running#

The example outputs inference time and top-5 classification labels via UART debug console.

Board Specific Configuration#

  • PMIC: Uses BOARD_InitPMICPins() (uppercase MIC) for PMIC initialization

  • Clock: 325MHz HSRUN mode with 1.1V VDD2 for optimal NPU performance

  • Pin Configuration: See cm33_core0/pin_mux.c and cm33_core0/pin_mux.h

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