$ python create_mobilenet_models.py
Representative images: 11
Loading MobileNetV2...
Converting FP32 model...
Converting dynamic range quantized model...
Converting full integer quantized model...
fully_quantize: 0, inference_type: 6, input_inference_type: INT8,
Saving ImageNet labels...

Created models:
  models/mobilenet_v2_fp32.tflite: 13672.9 KiB
  models/mobilenet_v2_dynamic.tflite: 3725.7 KiB
  models/mobilenet_v2_int8.tflite: 3935.4 KiB
  models/imagenet_labels.txt
