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@ -382,6 +382,7 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.4):
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# Sort the detections by maximum object confidence
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# Sort the detections by maximum object confidence
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_, conf_sort_index = torch.sort(dc[:, 4] * dc[:, 5], descending=True)
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_, conf_sort_index = torch.sort(dc[:, 4] * dc[:, 5], descending=True)
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dc = dc[conf_sort_index]
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dc = dc[conf_sort_index]
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dc = dc[:min(len(dc), 100)] # limit to first 100 boxes: https://github.com/ultralytics/yolov3/issues/117
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# Non-maximum suppression
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# Non-maximum suppression
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det_max = []
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det_max = []
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