I’m reading source code of faster_rcnn in gluoncv, and I find a _clear_cached_op() method in class RCNN that is not documented.
I wonder what it does. Here are the code where _clear_cached_op() shows up.
def set_nms(self, nms_thresh=0.3, nms_topk=400, post_nms=100): """Set NMS parameters to the network. .. Note:: If you are using hybrid mode, make sure you re-hybridize after calling ``set_nms``. Parameters ---------- nms_thresh : float, default is 0.3. Non-maximum suppression threshold. You can speficy < 0 or > 1 to disable NMS. nms_topk : int, default is 400 Apply NMS to top k detection results, use -1 to disable so that every Detection result is used in NMS. post_nms : int, default is 100 Only return top `post_nms` detection results, the rest is discarded. The number is based on COCO dataset which has maximum 100 objects per image. You can adjust this number if expecting more objects. You can use -1 to return all detections. Returns ------- None """ self._clear_cached_op() self.nms_thresh = nms_thresh self.nms_topk = nms_topk self.post_nms = post_nms