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Before the fix the demo_inference.py used batch_norm and it did the
normalization of input image implicitly. If at inference time the
batch_norm was disabled the inference produced incorrect results.
This fix does the proper input image normalization and disables the batch_norm
at inference time.

1. Update README.md
2. argmax, use axis instead of deminsion
3. use tf.profiler.profile instead of model_analyzer.print_model_analysis