Merged commit includes the following changes:

199348852  by Zhichao Lu:

    Small typos fixes in VRD evaluation.

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199315191  by Zhichao Lu:

    Change padding shapes when additional channels are available.

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199309180  by Zhichao Lu:

    Adds minor fixes to the Object Detection API implementation.

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199298605  by Zhichao Lu:

    Force num_readers to be 1 when only input file is not sharded.

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199292952  by Zhichao Lu:

    Adds image-level labels parsing into TfExampleDetectionAndGTParser.

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199259866  by Zhichao Lu:

    Visual Relationships Evaluation executable.

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199208330  by Zhichao Lu:

    Infer train_config.batch_size as the effective batch size. Therefore we need to divide the effective batch size in trainer by train_config.replica_to_aggregate to get per worker batch size.

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199207842  by Zhichao Lu:

    Internal change.

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199204222  by Zhichao Lu:

    In case the image has more than three channels, we only take the first three channels for visualization.

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199194388  by...

research/object_detection/dataset_tools/tf_record_creation_util.py

+# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+r"""Utilities for creating TFRecords of TF examples for the Open Images dataset.
+"""
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import tensorflow as tf
+
+
+def open_sharded_output_tfrecords(exit_stack, base_path, num_shards):
+  """Opens all TFRecord shards for writing and adds them to an exit stack.
+
+  Args:
+    exit_stack: A context2.ExitStack used to automatically closed the TFRecords
+      opened in this function.
+    base_path: The base path for all shards
+    num_shards: The number of shards
+
+  Returns:
+    The list of opened TFRecords. Position k in the list corresponds to shard k.
+  """
+  tf_record_output_filenames = [
+      '{}-{:05d}-of-{:05d}'.format(base_path, idx, num_shards)
+      for idx in range(num_shards)
+  ]
+
+  tfrecords = [
+      exit_stack.enter_context(tf.python_io.TFRecordWriter(file_name))
+      for file_name in tf_record_output_filenames
+  ]
+
+  return tfrecords

research/object_detection/evaluator.py

@@ -39,12 +39,14 @@ EVAL_METRICS_CLASS_DICT = {
         object_detection_evaluation.PascalInstanceSegmentationEvaluator,
     'weighted_pascal_voc_instance_segmentation_metrics':
         object_detection_evaluation.WeightedPascalInstanceSegmentationEvaluator,
-    'open_images_detection_metrics':
+    'open_images_V2_detection_metrics':
         object_detection_evaluation.OpenImagesDetectionEvaluator,
     'coco_detection_metrics':
         coco_evaluation.CocoDetectionEvaluator,
     'coco_mask_metrics':
         coco_evaluation.CocoMaskEvaluator,
+    'oid_challenge_object_detection_metrics':
+        object_detection_evaluation.OpenImagesDetectionChallengeEvaluator,
 }
 
 EVAL_DEFAULT_METRIC = 'pascal_voc_detection_metrics'

research/object_detection/g3doc/oid_inference_and_evaluation.md

@@ -93,7 +93,7 @@ mkdir ${SPLIT}_tfrecords
 
 PYTHONPATH=$PYTHONPATH:$(readlink -f ..) \
 python -m object_detection/dataset_tools/create_oid_tf_record \
-  --input_annotations_csv 2017_07/$SPLIT/annotations-human-bbox.csv \
+  --input_box_annotations_csv 2017_07/$SPLIT/annotations-human-bbox.csv \
   --input_images_directory raw_images_${SPLIT} \
   --input_label_map ../object_detection/data/oid_bbox_trainable_label_map.pbtxt \
   --output_tf_record_path_prefix ${SPLIT}_tfrecords/$SPLIT.tfrecord \
@@ -214,7 +214,7 @@ tf_record_input_reader: { input_path: '${SPLIT}_detections.tfrecord@${NUM_SHARDS
 " > ${SPLIT}_eval_metrics/${SPLIT}_input_config.pbtxt
 
 echo "
-metrics_set: 'open_images_metrics'
+metrics_set: 'open_images_V2_detection_metrics'
 " > ${SPLIT}_eval_metrics/${SPLIT}_eval_config.pbtxt
 ```