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DenoiSeg requires keras 2.2.5 (as per README instructions, but also during pip install denoiseg). This version of keras contains a workaround for a specific h5py version, where dataset attributes are returned as bytes instead of str (see h5py/h5py#379).
Newer versions of h5py have this bug fixed, which breaks loading of model weights with keras 2.2.5 (attempts to decode a str).
Just conda installing keras 2.2.5 and h5py results in an incompatible combination of those two. I tried to conda install an older version of h5py (2.2.1) but gave up after one hour of conda sitting at "Solving environment"...
Could you maybe provide a conda yaml of an environment that is known to work?
The text was updated successfully, but these errors were encountered:
DenoiSeg requires
keras
2.2.5 (as per README instructions, but also duringpip install denoiseg
). This version ofkeras
contains a workaround for a specifich5py
version, where dataset attributes are returned asbytes
instead ofstr
(see h5py/h5py#379).Newer versions of
h5py
have this bug fixed, which breaks loading of model weights withkeras
2.2.5 (attempts todecode
astr
).Just conda installing
keras
2.2.5 andh5py
results in an incompatible combination of those two. I tried to conda install an older version ofh5py
(2.2.1) but gave up after one hour of conda sitting at "Solving environment"...Could you maybe provide a conda yaml of an environment that is known to work?
The text was updated successfully, but these errors were encountered: