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First, put all data into root/train/_classname_/*.jpg and root/val/_classname_/*.jpg. Then, specify this root folder in retrain.py for now. Alternatively, have a look at this fork. It compares different resnets.
I have a dataset consisting of 20 classes. How can I use this code for my dataset. Thanks in advanced.
Train-
class1
1.jpg
Test-
class1
1.jpg
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