Trying to load sample model fails
Closed this issue · 1 comments
psukys commented
When loading with the following command on current source branch and tensorflow trained model downloaded:
python visualize.py --interactive --weights-file pre-trained/45-best-val-weights.h5 --train-desc-file pre-trained/model_45_config.json
during interactive session, I set up model_wrp via commands provided, I receive the error as follows:
Traceback (most recent call last):
File "visualize.py", line 218, in <module>
main()
File "visualize.py", line 205, in main
args.weights_file)
File "visualize.py", line 107, in interactive_vis
model.load_weights(weights_file)
File "/data/Documents/Projects/TUM/IDP/TabShare/TabShare/venv/lib/python3.5/site-packages/keras/engine/topology.py", line 2619, in load_weights
load_weights_from_hdf5_group(f, self.layers)
File "/data/Documents/Projects/TUM/IDP/TabShare/TabShare/venv/lib/python3.5/site-packages/keras/engine/topology.py", line 3068, in load_weights_from_hdf5_group
str(len(filtered_layers)) + ' layers.')
ValueError: You are trying to load a weight file containing 7 layers into a model with 14 layers.
(venv) ➜ deepsp
What's the correct way of testing out the pretrained model?
reith commented
in your invocation replace --train-desc-file
with --model-config