Traceback (most recent call last):

 "/home/joseph/prog/spyder.git/spyderlib/spyder.py", line 2273, in report_issue
full, short = versions['revision'].split(':')ValueError: need more than 1 value to unpack
Traceback (most recent call last):


 "train.py", line 381, in <module>

main()


 "train.py", line 318, in main

detect_quadrangle=args.detect_quadrangle


 "/content/EfficientDet/model.py", line 445, in efficientdet

classification = [class_net([feature, i]) for i, feature in enumerate(fpn_features)]


 "/content/EfficientDet/model.py", line 445, in <listcomp>

classification = [class_net([feature, i]) for i, feature in enumerate(fpn_features)]


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 924, in __call__

if _in_functional_construction_mode(self, inputs, args, kwargs, input_list):


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 3223, in _in_functional_construction_mode

raise ValueError('It appears you are trying to construct a '
ValueError: It appears you are trying to construct a functional model, but not all of the inputs in the first positional argument of your layer call are symbolic tensors. (Input objects, or the output of another layer) Functional models cannot correctly track custom layers unless all values in the first call argument are symbolic.
