content: # --------------------------------------------------------
  # Fast R-CNN
  # Copyright (c) 2015 Microsoft
  # Licensed under The MIT License [see LICENSE for details]
  # Written by Ross Girshick
  # --------------------------------------------------------
  
  import numpy as np
  
  def nms(dets, thresh):
      x1 = dets[:, 0]
      y1 = dets[:, 1]
      x2 = dets[:, 2]
      y2 = dets[:, 3]
      scores = dets[:, 4]
  
      areas = (x2 - x1 + 1) * (y2 - y1 + 1)
      order = scores.argsort()[::-1]
  
      keep = []
      while order.size > 0:
          i = order[0]
          keep.append(i)
          xx1 = np.maximum(x1[i], x1[order[1:]])
          yy1 = np.maximum(y1[i], y1[order[1:]])
          xx2 = np.minimum(x2[i], x2[order[1:]])
          yy2 = np.minimum(y2[i], y2[order[1:]])
  
          w = np.maximum(0.0, xx2 - xx1 + 1)
          h = np.maximum(0.0, yy2 - yy1 + 1)
          inter = w * h
          ovr = inter / (areas[i] + areas[order[1:]] - inter)
  
          inds = np.where(ovr <= thresh)[0]
          order = order[inds + 1]
  
      return keep
  