I try to run the keras model, trying to use the pre-prepared 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
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')
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 looked at the github questions page where the corresponding question was asked, but there were no solutions. Any suggestions?
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