Comments (2)
Any model weights (ideally) should be stored like a dictionary or a recursive dictionary. Some key-value pairs should be the parameter name
-pre-trained weight
pairs, where parameter name
should be a string and pre-trained weight
should be a tensor (pytorch or tensorflow version, both of which can be easily converted to numpy.ndarray
). Please Google how to convert a pytorch (or tensorflow) tensor to a numpy.ndarray
if you are really new to these two DL frameworks.
So, I would recommend first load the pkl
file with ipython, and then check how the file is organized with print()
function.
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I have the same problem. I also have NVlab's 'Stylegan2-ADA', 'Stylegan2-ADA-PyTorch' models. (.pkl files)
#9 suggested a method, but I didn't understand it.
I do not know how to load the parameters as NumPy.ndarray.
I apologize for such a beginner's question.
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Related Issues (20)
- reproduce results matched figure 5 in paper HOT 1
- A question about the assumption of the method HOT 1
- About attribute predictor and re-scoring analysis. HOT 5
- StyleGAN2 LSUN bedroom HOT 1
- Direction indices for Closed Form applied on PGGAN HOT 1
- Edit face in Eyeglasses, Gender, Hair Color, Pose , Smile ... direction failed HOT 1
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- Annotations corresponding to eigen vectors
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- Some questions about your code HOT 3
- BigGAN HOT 4
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- About ignore the non-linear layers of the mapping net. HOT 4
- how to directly use checkpoint from stylegan2-ada-pytorch HOT 3
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