def bboxes_decode(self, feat_localizations, anchors, scope='ssd_bboxes_decode'):
"""Encode labels and bounding boxes.
"""
return ssd_common.tf_ssd_bboxes_decode(
feat_localizations, anchors,
prior_scaling=self.params.prior_scaling,
scope=scope)
def bboxes_decode(self, feat_localizations, anchors,
scope='ssd_bboxes_decode'):
"""Encode labels and bounding boxes.
"""
return ssd_common.tf_ssd_bboxes_decode(
feat_localizations, anchors,
prior_scaling=self.params.prior_scaling,
scope=scope)
def bboxes_decode(self, feat_localizations, anchors, #解码，用锚点框信息，锚点框与预测真实框间的转换值，得到真是的预测框（ymin,xmin,ymax,xmax）
scope='ssd_bboxes_decode'):
"""Encode labels and bounding boxes.
"""
return ssd_common.tf_ssd_bboxes_decode(
feat_localizations, anchors,
prior_scaling=self.params.prior_scaling,
scope=scope)
def decode_bboxes_all_layers_tf(self, feat_localizations):
"""convert ssd boxes from relative to input image anchors to relative to input width/height
Return:
numpy array NlayersxNx4: ymin, xmin, ymax, xmax
"""
anchors = self.ssd_anchors_all_layers()
return ssd_common.tf_ssd_bboxes_decode(
feat_localizations, anchors, prior_scaling=self.prior_scaling)
