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Hello,
I would like to use my own data to retrain RenderNet.
I use voxeliser here: https://www.patrickmin.com/binvox/ I get .binbox files. However when I read the .binbox files with binbox_rw.py, they have shape (256,256,256) and your .binbox files like chair.binbox are (64,64,64). The input to your model is also (1,64,64,64,1). And I get following error message: ValueError: cannot reshape array of size 16777216 into shape (1,64,64,64,1)
How do you generate binbox files with dimensions (64,64,64)?
The text was updated successfully, but these errors were encountered:
EphChem
changed the title
binbox voxeliser gives (256,256,256) shape and input to your model is (1,64,64,64,1))
binbox voxeliser gives (256,256,256) shape and input to your model is (1,64,64,64,1)
Jan 22, 2020
Hello,
I would like to use my own data to retrain RenderNet.
I use voxeliser here: https://www.patrickmin.com/binvox/ I get .binbox files. However when I read the .binbox files with binbox_rw.py, they have shape (256,256,256) and your .binbox files like chair.binbox are (64,64,64). The input to your model is also (1,64,64,64,1). And I get following error message:
ValueError: cannot reshape array of size 16777216 into shape (1,64,64,64,1)
How do you generate binbox files with dimensions (64,64,64)?
The text was updated successfully, but these errors were encountered: