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Avoid hard example mining NMS when iou_threshold=1.0 #4874

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Avoid hard example mining NMS when iou_threshold=1.0 #4874

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7 changes: 5 additions & 2 deletions research/object_detection/core/losses.py
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Original file line number Diff line number Diff line change
Expand Up @@ -560,8 +560,11 @@ def __call__(self,
num_hard_examples = self._num_hard_examples
else:
num_hard_examples = detection_boxlist.num_boxes()
selected_indices = tf.image.non_max_suppression(
box_locations, image_losses, num_hard_examples, self._iou_threshold)
if self._iou_threshold < 1.0:
selected_indices = tf.image.non_max_suppression(
box_locations, image_losses, num_hard_examples, self._iou_threshold)
else:
_, selected_indices = tf.nn.top_k(image_losses, num_hard_examples)
if self._max_negatives_per_positive is not None and match:
(selected_indices, num_positives,
num_negatives) = self._subsample_selection_to_desired_neg_pos_ratio(
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