Please consult here on how to install the tools.
In order to compile and run this example follow these steps:
python obtain_and_optimize_mobilenetv2.py xmake xflash --target XCORE-AI-EXPLORER --data xcore_flash_binary.out xrun --xscope bin/app_mobilenetv2.xe
In the example, we inference the model with a sample image of a LION. Running the example should print:
Correct - Inferred class is LION!
The same lion image is saved in raw format as lion.bin for inference on the host interpreter, and as a header file in src/lion.h for inference on device.