      def _post_process(self, bboxlist):
          """ Perform post processing on output
              TODO: do this on the batch.
          """
          retval = list()
          for i in range(len(bboxlist) // 2):
              bboxlist[i * 2] = self.softmax(bboxlist[i * 2], axis=3)
          for i in range(len(bboxlist) // 2):
              ocls, oreg = bboxlist[i * 2], bboxlist[i * 2 + 1]
              stride = 2 ** (i + 2)    # 4,8,16,32,64,128
 
</s> remove         retained_box_indices = list()
 </s> add         retained_box_indices = [] </s> remove                 var_x = ZeroPadding2D(1, name="{}.zeropad".format(rec_name))(var_x)
 </s> add                 var_x = ZeroPadding2D(1, name=f"{rec_name}.zeropad")(var_x) </s> remove             rec_name = "{}_{}".format(name, i)
 </s> add             rec_name = f"{name}_{i}" </s> remove         name = "conv{}".format(idx)
 </s> add         name = f"conv{idx}" </s> remove         results = list()
 </s> add         results = []
        retval = []
      def _post_process(self, bboxlist):
          """ Perform post processing on output
              TODO: do this on the batch.
          """
        retval = []
          for i in range(len(bboxlist) // 2):
              bboxlist[i * 2] = self.softmax(bboxlist[i * 2], axis=3)
          for i in range(len(bboxlist) // 2):
              ocls, oreg = bboxlist[i * 2], bboxlist[i * 2 + 1]
              stride = 2 ** (i + 2)    # 4,8,16,32,64,128
keep keep keep keep replace keep keep keep keep keep
 Update all Keras Imports to be conditional (#1214)

* Remove custom keras importer

* first round keras imports fix

* launcher.py: Remove KerasFinder references

* 2nd round keras imports update (lib and extract)

* 3rd round keras imports update (train)

* remove KerasFinder from tests

* 4th round keras imports update (tests) 
plugins/extract/detect/s3fd.py