Im trying to run a keras model,trying to use pre-trained VGGnet-
When i run this Command
base_model = applications.VGG16(weights='imagenet', include_top=False, input_shape=(img_rows, img_cols, img_channel))
I get this error:
``------------------------------------------------------------------
---------
ImportError Traceback (most recent call
last)
<ipython-input-79-9b18deb3bc0f> in <module>()
1
----> 2 base_model = applications.VGG16(weights='imagenet',
include_top=False, input_shape=(img_rows, img_cols, img_channel))
/usr/local/lib/python3.5/dist-packages/keras/applications/vgg16.py in
VGG16(include_top, weights, input_tensor, input_shape, pooling,
classes)
167 WEIGHTS_PATH_NO_TOP,
168 cache_subdir='models')
--> 169 model.load_weights(weights_path)
170 if K.backend() == 'theano':
171 layer_utils.convert_all_kernels_in_model(model)
/usr/local/lib/python3.5/dist-packages/keras/engine/topology.py in
load_weights(self, filepath, by_name)
2563 """
2564 if h5py is None:
-> 2565 raise ImportError('`load_weights` requires h5py.')
2566 f = h5py.File(filepath, mode='r')
2567 if 'layer_names' not in f.attrs and 'model_weights' in f:
ImportError: `load_weights` requires h5py.``
I went through some github issues page where a relevant question was asked,but no solutions were given. Any suggestions?
Install h5py:
pip install h5py
Or if using conda:
conda install h5py
technically you need dependencies, such as:
pip install cython
sudo apt-get install libhdf5-dev
pip install h5py
And restart your jupyter notebok.
in the case that "pip install h5py" does not work, and you see something like: "... already satisfied". in python 3 use "pip3 install h5py"/ this will work.
the below steps solved my issue
conda uninstall h5py
pip install h5py
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