Add option to omit the NMS placeholder in object detection.

PiperOrigin-RevId: 529212785

Author: tensorflower-gardener

official/vision/configs/common.py

@@ -138,6 +138,7 @@ class PseudoLabelDataConfig(cfg.DataConfig):
 
 @dataclasses.dataclass
 class TFLitePostProcessingConfig(hyperparams.Config):
+  """TFLite Post Processing config for inference."""
   max_detections: int = 200
   max_classes_per_detection: int = 5
   # Regular NMS run in a multi-class fashion and is slow. Setting it to False
@@ -148,3 +149,6 @@ class TFLitePostProcessingConfig(hyperparams.Config):
   # Whether to normalize coordinates of anchors to [0, 1]. If setting to True,
   # coordinates of output boxes is also normalized but latency increases.
   normalize_anchor_coordinates: Optional[bool] = False
+  # Whether to omit the final nms placeholder op. If set to True, the output
+  # will be a tuple of boxes, scores result right before the NMS operation.
+  omit_nms: Optional[bool] = False

official/vision/modeling/layers/detection_generator.py

@@ -889,6 +889,11 @@ def dummy_post_processing(input_boxes, input_scores, input_anchors):
     num_detections = tf.constant(0.0, dtype=tf.float32, name='num_detections')
     return boxes, classes, scores, num_detections
 
+  if config.get('omit_nms', False):
+    dummy_classes = tf.constant(0.0, dtype=tf.float32, name='classes')
+    dummy_num_detections = tf.constant(
+        0.0, dtype=tf.float32, name='num_detections')
+    return boxes, dummy_classes, scores, dummy_num_detections
   return dummy_post_processing(boxes, scores, anchors)[::-1]