def _proposal_top_layer(self, rpn_cls_prob, rpn_bbox_pred, name):
# '''
# 对rpn计算结果roi proposals的优选
# 当TEST.MODE = 'top'使用proposal_top_layer
# 当TEST.MODE = 'nms'使用proposal_layer
# 默认使用nms，作者说top模式效果更好，但速度慢
# '''
with tf.variable_scope(name) as scope:
if cfg.USE_E2E_TF: # 使用tensorflow端到端实现，不用numpy
rois, rpn_scores = proposal_top_layer_tf(
rpn_cls_prob,
rpn_bbox_pred,
self._im_info,
self._feat_stride,
self._anchors,
self._num_anchors
)
else:
rois, rpn_scores = tf.py_func(proposal_top_layer,
[rpn_cls_prob, rpn_bbox_pred, self._im_info,
self._feat_stride, self._anchors, self._num_anchors],
[tf.float32, tf.float32], name="proposal_top")
rois.set_shape([cfg.TEST.RPN_TOP_N, 5])
rpn_scores.set_shape([cfg.TEST.RPN_TOP_N, 1])
return rois, rpn_scores
def _proposal_top_layer(self, rpn_cls_prob, rpn_bbox_pred, name):
with tf.variable_scope(name) as scope:
if cfg.USE_E2E_TF:
rois, rpn_scores = proposal_top_layer_tf(rpn_cls_prob,rpn_bbox_pred,self._im_info,self._feat_stride,
self._anchors,self._num_anchors)
else:
rois, rpn_scores = tf.py_func(proposal_top_layer,[rpn_cls_prob, rpn_bbox_pred, self._im_info,
self._feat_stride, self._anchors, self._num_anchors],
[tf.float32, tf.float32], name="proposal_top")
rois.set_shape([cfg.TEST.RPN_TOP_N, 5])
rpn_scores.set_shape([cfg.TEST.RPN_TOP_N, 1])
return rois, rpn_scores
def _proposal_top_layer(self, rpn_cls_prob, rpn_bbox_pred, name):
with tf.variable_scope(name) as scope:
if cfg.USE_E2E_TF:
rois, rpn_scores = proposal_top_layer_tf(
rpn_cls_prob,
rpn_bbox_pred,
self._im_info,
self._feat_stride,
self._anchors,
self._num_anchors
)
else:
rois, rpn_scores = tf.py_func(proposal_top_layer,
[rpn_cls_prob, rpn_bbox_pred, self._im_info,
self._feat_stride, self._anchors, self._num_anchors],
[tf.float32, tf.float32], name="proposal_top")
rois.set_shape([cfg.TEST.RPN_TOP_N, 5])
rpn_scores.set_shape([cfg.TEST.RPN_TOP_N, 1])
return rois, rpn_scores
