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fizyr / keras-retinanet

Keras implementation of RetinaNet object detection.
Apache License 2.0
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train problem #1458

Closed zhangke1997 closed 4 years ago

zhangke1997 commented 4 years ago

last lines: File "/home/lyp/.local/lib/python3.5/site-packages/tensorflow/python/ops/variables.py", line 236, in previous_getter = lambda kws: default_variable_creator_v2(None, kws) File "/home/lyp/.local/lib/python3.5/site-packages/tensorflow/python/ops/variable_scope.py", line 2647, in default_variable_creator_v2 shape=shape) File "/home/lyp/.local/lib/python3.5/site-packages/tensorflow/python/ops/variables.py", line 263, in call return super(VariableMetaclass, cls).call(*args, **kwargs) File "/home/lyp/.local/lib/python3.5/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 1434, in init distribute_strategy=distribute_strategy) File "/home/lyp/.local/lib/python3.5/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 1517, in _init_from_args raise ValueError("Tensor-typed variable initializers must either be " ValueError: Tensor-typed variable initializers must either be wrapped in an init_scope or callable (e.g., tf.Variable(lambda : tf.truncated_normal([10, 40]))) when building functions. Please file a feature request if this restriction inconveniences you.

anyone same?

zhangke1997 commented 4 years ago

i have solved it

baopingli commented 4 years ago

i have solved it

how did you solve it？

zhangke1997 commented 4 years ago

use tf 2.3.0 keras 2.4.3

baopingli commented 4 years ago

use tf 2.3.0 keras 2.4.3

yes, i use this but meet a new problem which is WARNING:tensorflow:Your input ran out of data; interrupting training. did you meet this problem?(https://github.com/fizyr/keras-retinanet/issues/1449)

baopingli commented 4 years ago

use tf 2.3.0 keras 2.4.3

yes, i use this but meet a new problem which is WARNING:tensorflow:Your input ran out of data; interrupting training. did you meet this problem?(#1449)

the map is low.

medic873 commented 4 years ago

What do you mean the map is low?

stale[bot] commented 4 years ago

This issue has been automatically marked as stale due to the lack of recent activity. It will be closed if no further activity occurs. Thank you for your contributions.