I completed the federated-learning-surface-defect-detection example with image kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.4.0
Both edge nodes generate the following Model file in the output directory:
saved_model.pb
the files in variables directory:
variables.data-00000-of-00001
variables.index
I want to know how to use these models and whether there are inference worker examples to verify whether these models are correct.
I completed the federated-learning-surface-defect-detection example with image kubeedge/sedna-example-federated-learning-surface-defect-detection-train:v0.4.0
Both edge nodes generate the following Model file in the output directory:
I want to know how to use these models and whether there are inference worker examples to verify whether these models are correct.