Correct the return value from ProcessBatch in the case of an exception.

PiperOrigin-RevId: 190068159

research/object_detection/evaluator.py

@@ -215,7 +215,7 @@ def evaluate(create_input_dict_fn, create_model_fn, eval_config, categories,
     except tf.errors.InvalidArgumentError:
       logging.info('Skipping image')
       counters['skipped'] += 1
-      return {}
+      return {}, {}
     global_step = tf.train.global_step(sess, tf.train.get_global_step())
     if batch_index < eval_config.num_visualizations:
       tag = 'image-{}'.format(batch_index)