Traceback (most recent call last):
File "D:/LJC/MyPyCharm/TensorFlow2.0_SSD-master/train.py", line 91, in
ssd.save_weights(filepath=save_model_dir+"saved_model", save_format="tf")
File "D:\LJC\WORK\pycharmprojects\TensorFlow2.0_SSD\venv\jsq\lib\site-packages\tensorflow_core\python\keras\engine\network.py", line 1123, in save_weights
self._trackable_saver.save(filepath, session=session)
File "D:\LJC\WORK\pycharmprojects\TensorFlow2.0_SSD\venv\jsq\lib\site-packages\tensorflow_core\python\training\tracking\util.py", line 1168, in save
file_prefix=file_prefix_tensor, object_graph_tensor=object_graph_tensor)
File "D:\LJC\WORK\pycharmprojects\TensorFlow2.0_SSD\venv\jsq\lib\site-packages\tensorflow_core\python\training\tracking\util.py", line 1108, in _save_cached_when_graph_building
object_graph_tensor=object_graph_tensor)
File "D:\LJC\WORK\pycharmprojects\TensorFlow2.0_SSD\venv\jsq\lib\site-packages\tensorflow_core\python\training\tracking\util.py", line 1076, in _gather_saveables
feed_additions) = self._graph_view.serialize_object_graph()
File "D:\LJC\WORK\pycharmprojects\TensorFlow2.0_SSD\venv\jsq\lib\site-packages\tensorflow_core\python\training\tracking\graph_view.py", line 381, in serialize_object_graph
trackable_objects, path_to_root)
File "D:\LJC\WORK\pycharmprojects\TensorFlow2.0_SSD\venv\jsq\lib\site-packages\tensorflow_core\python\training\tracking\graph_view.py", line 337, in _serialize_gathered_objects
object_names[obj] = _object_prefix_from_path(path)
File "D:\LJC\WORK\pycharmprojects\TensorFlow2.0_SSD\venv\jsq\lib\site-packages\tensorflow_core\python\training\tracking\graph_view.py", line 64, in _object_prefix_from_path
for trackable in path_to_root))
File "D:\LJC\WORK\pycharmprojects\TensorFlow2.0_SSD\venv\jsq\lib\site-packages\tensorflow_core\python\training\tracking\graph_view.py", line 64, in
for trackable in path_to_root))
File "D:\LJC\WORK\pycharmprojects\TensorFlow2.0_SSD\venv\jsq\lib\site-packages\tensorflow_core\python\training\tracking\graph_view.py", line 57, in _escape_local_name
return (name.replace(_ESCAPE_CHAR, _ESCAPE_CHAR + _ESCAPE_CHAR)
AttributeError: 'NoneType' object has no attribute 'replace'
Process finished with exit code 1
俺萌新解决不了 貌似是作者改动后变成这样的 我4月份下这份代码的时候能成功保存模型,作者后面对种类进行了改动 加上了背景,结果就是现在保存模型出错了 有木有大佬改改 可以看看作者的修改代码记录的
referce:https://blog.csdn.net/potato_uncle/article/details/109699651
self.learnable_factor = self.add_weight(shape=(1, 1, 1, 512), dtype=tf.float32, initializer=tf.keras.initializers.Ones(), trainable=True)
change to :
self.learnable_factor = self.add_weight(name='w',shape=(1, 1, 1, 512), dtype=tf.float32, initializer=tf.keras.initializers.Ones(), trainable=True)
ADAMANCY361 说的没错,tensorflow里面新加的参数需要指定一个name,才能正常保存模型。我把整个代码都改过了,但还是有bug,目前debug不出来。