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@ -145,10 +145,16 @@ def batched_multiclass_nms(boxes, scores, background, score_threshold,
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lod.append(nmsed_num)
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if nmsed_num == 0: continue
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tmp_det_out = []
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for c, indices in nmsed_outs.items():
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for idx in indices:
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xmin, ymin, xmax, ymax = boxes[n][idx][:]
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det_outs.append([c, scores[n][c][idx], xmin, ymin, xmax, ymax])
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tmp_det_out.append(
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[c, scores[n][c][idx], xmin, ymin, xmax, ymax])
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sorted_det_out = sorted(
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tmp_det_out, key=lambda tup: tup[0], reverse=False)
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det_outs.extend(sorted_det_out)
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return det_outs, lod
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