Comments (4)
Oh weird, I just added a requirements.txt if you want to try that. (which I should have had to begin with!) I tried running it from a fresh virtualenv with Python 3.5 and it seemed to work.
What was the exact error you were getting? One thing is that I typically use the TensorFlow backend, so there might be bugs if you're using Theano instead. I didn't include TensorFlow in the requirements.txt since it's not managed through PyPI and is platform-dependent, but you can try installing that if you run into problems.
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I was attempting this under python2.7, as scipy 0.18.x for python3 on macos has issues, and I fell back just in case this could be made to work in my healthier 2.7 env. I am currently re-installing 3.5 with scipy 0.17.0 0 as a workaround, we'll see how far I get.
(Did not look into 2/3 compatibilities, but the missing items were keras.models.load_model plus several items from keras.backend incl image_dim_ordering)
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all better now, a training run succeeded (python 3.5, scipy 0.17.0).
I did need to manually install h5py, it's optional for keras
and is needed for save_model.
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@welch Cool! Glad it's working for you.
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Related Issues (12)
- Deconvolution vs Upsampling HOT 1
- Can I input a strange face and output a face of different emotions or poses? HOT 3
- Trained Model Request HOT 1
- Problem while generating: No data provided for "pose"
- Can you share your dataset? HOT 6
- Use a more open dataset HOT 7
- why there is a pooling layer with pool_size=(1,1) before the upsamping layer? HOT 3
- Problem training on YaleFaces HOT 1
- How to build a Holodeck with this HOT 3
- Problem generating interpolation from Yale Faces B HOT 2
- Runtime Error Warning HOT 2
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