**【pytorch version】**OverNet: lightweight multi-scale super-resolution with overscaling network
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OverNet: lightweight multi-scale super-resolution with overscaling network
**【pytorch version】**OverNet: lightweight multi-scale super-resolution with overscaling network
Traceback (most recent call last):
File "C:/Users/admin/Desktop/OverNet-master/OverNetModel.py", line 151, in
img=pickle.load(f)
_pickle.UnpicklingError: A load persistent id instruction was encountered,
but no persistent_load function was specified.
Hello, do you know how this Multi-Scale Loss is implemented?
Great reproduction work!
The parameter number reported in OverNet paper is 0.9M. When I run your code, the parameter number is 285K.
Did I miss something important? Really need your help!
BTW, I used the default channel number 16 in your code
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