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costapt / vess2ret

A Keras implementation of pix2pix code adapted to generate retinal images from vessel networks.
MIT License
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TheanoShapedU-NET #12

Open MinuteswithMetrics opened 6 years ago

MinuteswithMetrics commented 6 years ago

(C:\Users\green\Anaconda3\envs\py35) C:\Users\green\Documents\Data\input>python train.py [--base_dir][C:/Users/green/Documen ts/Data Competitions/Data Science Bowl 2018/input/data/unet_segmentations_binary ] [--train] [--val] C:\Users\green\Anaconda3\envs\py35\lib\site-packages\h5py__init.py:36: Future Warning: Conversion of the second argument of issubdtype from float to np.flo ating is deprecated. In future, it will be treated as np.float64 == np.dtype(f loat).type. from ._conv import register_converters as _register_converters Using TensorFlow backend. TheanoShapedU-NET 2018-02-13 13:08:28.098000: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\ 35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn 't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 2018-02-13 13:08:28.098274: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\ 35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn 't compiled to use AVX2 instructions, but these are available on your machine an d could speed up CPU computations. Traceback (most recent call last): File "train.py", line 326, in batch_size=params.batch_size, is_binary=params.is_b_binary) File "C:\Users\green\Documents\Data\input\ models.py", line 400, in g_unet x = LeakyReLU(0.2)(conv1) File "C:\Users\green\Anaconda3\envs\py35\lib\site-packages\keras\engine\topolo gy.py", line 617, in call__ output = self.call(inputs, *kwargs) File "C:\Users\green\Anaconda3\envs\py35\lib\site-packages\keras\layers\advanc ed_activations.py", line 46, in call return K.relu(inputs, alpha=self.alpha) File "C:\Users\green\Anaconda3\envs\py35\lib\site-packages\keras\backend\tenso rflow_backend.py", line 2918, in relu x = tf.nn.leaky_relu(x, alpha) AttributeError: module 'tensorflow.python.ops.nn' has no attribute 'leaky_relu' swig/python detected a memory leak of type 'int64_t ', no destructor found.

costapt commented 6 years ago

Hi,

That seems to be a tensorflow issue. Are you sure that it is properly installed?