Copybara import of the project:

--
8a30da7c by Srihari Humbarwadi <sriharihumbarwadi97@gmail.com>:

remove normalization/denomalization in postprocess_ops

PiperOrigin-RevId: 394707702

official/vision/detection/ops/postprocess_ops.py

@@ -270,6 +270,11 @@ def _generate_detections_batched(boxes, scores, max_total_size,
       `valid_detections` boxes are valid detections.
   """
   with tf.name_scope('generate_detections'):
+    # TODO(tsungyi): Removes normalization/denomalization once the
+    # tf.image.combined_non_max_suppression is coordinate system agnostic.
+    # Normalizes maximum box cooridinates to 1.
+    normalizer = tf.reduce_max(boxes)
+    boxes /= normalizer
     (nmsed_boxes, nmsed_scores, nmsed_classes,
      valid_detections) = tf.image.combined_non_max_suppression(
          boxes,
@@ -279,7 +284,9 @@ def _generate_detections_batched(boxes, scores, max_total_size,
          iou_threshold=nms_iou_threshold,
          score_threshold=score_threshold,
          pad_per_class=False,
-         clip_boxes=False)
+     )
+    # De-normalizes box cooridinates.
+    nmsed_boxes *= normalizer
   nmsed_classes = tf.cast(nmsed_classes, tf.int32)
   return nmsed_boxes, nmsed_scores, nmsed_classes, valid_detections