I am try train on small (400 images) CASIA dataset for debug purpose.
I am get assert error: "assert 0 <= index < len(self.tamp_list), f"Index {index} is not available!""
In data_core.py I am found "self.smallest = 1869 # smallest dataset size (IMD:1869)" and presume my dataet is too small.
I am wonder why smallest dataset size is exactly 1869?
I am try train on small (400 images) CASIA dataset for debug purpose.
I am get assert error: "assert 0 <= index < len(self.tamp_list), f"Index {index} is not available!"" In data_core.py I am found "self.smallest = 1869 # smallest dataset size (IMD:1869)" and presume my dataet is too small. I am wonder why smallest dataset size is exactly 1869?