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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.
The text was updated successfully, but these errors were encountered:
Did you use kubeedge/sedna-example-federated-learning-surface-defect-detection-aggregation:v0.4.0 or kubeedge/sedna-example-federated-learning-surface-defect-detection-aggregation:v0.5.0? @xinzongyan
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.
The text was updated successfully, but these errors were encountered: