小编dot*_*nnn的帖子

我正在使用 Tensorflow 对象检测 API 并研究 pretrainedd ssd-mobilenet 模型。有没有办法为每个 bbox 提取移动网络的最后一个全局池作为特征向量？我找不到保存此信息的操作的名称。

我已经能够根据 github 上的示例提取检测标签和 bbox：

 image_tensor = detection_graph.get_tensor_by_name( 'image_tensor:0' )
 # Each box represents a part of the image where a particular object was detected.
 detection_boxes = detection_graph.get_tensor_by_name( 'detection_boxes:0' )
 # Each score represent how level of confidence for each of the objects.
 # Score is shown on the result image, together with the class label.
 detection_scores = detection_graph.get_tensor_by_name( 'detection_scores:0' )
 detection_classes = detection_graph.get_tensor_by_name( 'detection_classes:0' )
 num_detections = detection_graph.get_tensor_by_name( 'num_detections:0' ) …