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)