fix exporters

research/object_detection/exporter_lib_v2.py

@@ -21,7 +21,7 @@ from object_detection.builders import model_builder
 from object_detection.core import standard_fields as fields
 from object_detection.data_decoders import tf_example_decoder
 from object_detection.utils import config_util
-
+import ast
 
 def _decode_image(encoded_image_string_tensor):
   image_tensor = tf.image.decode_image(encoded_image_string_tensor,
@@ -50,12 +50,11 @@ def _zip_side_inputs(side_input_shapes="",
   Returns:
     a zipped list of side input tuples.
   """
-  if (side_input_shapes)
-  side_input_shapes = list(map(lambda x: eval('[' + x + ']'), side_input_shapes.split("/")))
-  side_input_types = map(eval, side_input_types.split(","))
-  print(list(side_input_types))
-  #side_input_types = list(map(eval, side_input_types.split(",")))
-  return zip(side_input_shapes, side_input_types, side_input_names.split(","))
+  side_input_shapes = list(map(lambda x: ast.literal_eval('[' + x + ']'),
+      side_input_shapes.split('/')))
+  side_input_types = eval('[' + side_input_types + ']')
+  side_input_names = side_input_names.split(',')
+  return zip(side_input_shapes, side_input_types, side_input_names)
 
 class DetectionInferenceModule(tf.Module):
   """Detection Inference Module."""
@@ -220,6 +219,9 @@ def export_inference_graph(input_type,
     raise ValueError('Unrecognized `input_type`')
   if use_side_inputs and input_type != 'image_tensor':
     raise ValueError('Side inputs supported for image_tensor input type only.')
+
+  zipped_side_inputs = None
+  if use_side_inputs:
     zipped_side_inputs = _zip_side_inputs(side_input_shapes,
                                           side_input_types,
                                           side_input_names)