200 })
201
--> 202 if feature_extractor_config.HasField('num_layers'):
203 kwargs.update({'num_layers': feature_extractor_config.num_layers})
204
ValueError: Protocol message SsdFeatureExtractor has no field num_layers.
I Also tried to comment this condition in model_builder.py, but got another error (Attribute error).
If to switch the protos back, the "network_version" ValueError occurs.
After performing the steps from instructions here I try to run training ssd efficientnet fpn on coco ms dataset:
%run legacy/train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_efficientdet.config
Error occured:
I Also tried to comment this condition in model_builder.py, but got another error (Attribute error).
If to switch the protos back, the "network_version" ValueError occurs.