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* add configs corresponding to new models in the zoo.
* add warinings aboud version in notebook.

add interpolated scale at a give aspect ratio. This change breaks
the existing checkpoints because the anchor orders are different.

This change should be merged along newly generated frozen ssd models.

Fix nasnet image classification and object detection by moving the
option to turn ON or OFF batch norm training into it's own arg_scope
used only by detection

interface defined in utils/object_detection_evaluation.py.
* Update eval.py to use routines from utils/config_utils.py
to parse config files.