feature_map_generator in Object Detection API and Python 3 compatibility

[jrabary]

The function fpn_top_down_feature_maps is not working with python 3 and cause the following error

line 225, in fpn_top_down_feature_maps
    reversed(zip(output_feature_map_keys, output_feature_maps_list)))
TypeError: 'zip' object is not reversible

The workaround is to change zip(...) into list(zip(...))

[jrabary]

Another function that is not working with python 3 is:

# in learning_schedules.py
def manual_stepping(global_step, boundaries, rates):
 .....
 index = tf.reduce_min(
      tf.where(
          # Casting global step to tf.int32 is dangerous, but necessary to be
          # compatible with TPU.
          tf.greater(step_boundaries, tf.cast(global_step, tf.int32)),
          tf.constant(range(num_boundaries), dtype=tf.int32),
          tf.constant([num_boundaries] * num_boundaries, dtype=tf.int32)))
         return tf.reduce_sum(learning_rates * tf.one_hot(index, len(rates),
                                                   dtype=tf.float32))

The line with tf.constant(range(...)) produces an error.

[tensorflowbutler]

Hi There,
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