python - Read only mode in keras

Question

I have cloned human pose estimation keras model from this link human pose estimation keras

When I try to load the model on google colab, I get the following error

code

from keras.models import load_model
model = load_model('model.h5')

error

ValueError                                Traceback (most recent call 

last)
<ipython-input-29-bdcc7d8d338b> in <module>()
      1 from keras.models import load_model
----> 2 model = load_model('model.h5')

/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in load_model(filepath, custom_objects, compile)
    417     f = h5dict(filepath, 'r')
    418     try:
--> 419         model = _deserialize_model(f, custom_objects, compile)
    420     finally:
    421         if opened_new_file:

/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in _deserialize_model(f, custom_objects, compile)
    219         return obj
    220 
--> 221     model_config = f['model_config']
    222     if model_config is None:
    223         raise ValueError('No model found in config.')

/usr/local/lib/python3.6/dist-packages/keras/utils/io_utils.py in __getitem__(self, attr)
    300             else:
    301                 if self.read_only:
--> 302                     raise ValueError('Cannot create group in read only mode.')
    303                 val = H5Dict(self.data.create_group(attr))
    304         return val

ValueError: Cannot create group in read only mode.

Can someone please help me understand this read-only mode? How do I load this model?

Answer 1

Here is an example Git gist created on Google Collab for you: https://gist.github.com/kolygri/835ccea6b87089fbfd64395c3895c01f

As far as I understand:

You have to set and define the architecture of your model and then use model.load_weights('alexnet_weights.h5').

Here is a useful Github conversation link, which hopefully will help you understand the issue better: https://github.com/keras-team/keras/issues/6937