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created a keras Sequence based data generator that is used during model fit to provide the model with batches of data
added some image utils for:
(256,256,1)
with grayscale values(0...255)
into(256,256,n)
binary(0,1)
filters(256,256,n)
binary mask back into the(256,256,1)
mask with grayscale valuesadded pillow (PIL) to modules
created different conda environment files for Windows and WSL
environment-win
holds a working env with Tensorflow 2.15 but only with CPU support (as GPU on bare Windows is not supported anymore)environment-wsl
holds a working env for WSL Ubuntu with Tensorflow 2.13 with GPU support (as installing 2.15 with "tensorflow[and-cuda]" on WSL has issues with registering cuDNN, cuFFT, cuBLAS and the GPU is sometimes not being found - cuDNN, cuFFT, and cuBLAS Errors tensorflow/tensorflow#62075)a Tensorflow 2.13 trained model can still be used on a Windows machine with Tensorflow 2.15 (only when you save the model as a
.h5
file instead of.keras
)