Comments (2)
This is related to #2
Unfortunately, I haven't had the time to make the code work under Python 3.4. Right now it only works under Python 3.5.
Making the code work under Python 3.4 should be fairly simple as the only reason why it fails under 3.4 is the use of the star operator on lists and tuples (e.g. foo(*(1,2,3)) == f(1,2,3)
)
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The new release supports Python 3.4.
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Related Issues (20)
- Error running predict_frrn_a.py with the prerequisites mentioned in README HOT 1
- what is the point of chinati library? HOT 1
- Runnin predict without cityscape HOT 7
- Dependency Version Requirements? HOT 1
- input image is black HOT 3
- training batch size HOT 1
- Error Running predict on cityscapes with python 2.7 HOT 2
- The questions about prediction HOT 1
- init model HOT 2
- Chianti TypeError in train.py l264 HOT 2
- Dimensionality reduction before last RU's
- train with smaller image resolution
- Trying to evaluation with non cityscape image HOT 2
- ERROR Cannot create cuDNN spatial log softmax. HOT 1
- Adding in associative memory to the network structure
- Getting from cudnn HOT 1
- Predict on own image
- cuDNN spatial log softmax and Chianti C++ library HOT 3
- predict error: IndexError
- Theano and Lasagne version
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