How to visualize the output of the generator
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- Dominant language
- Python
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- 287
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Description
Related code to save the outputs is below:
"
g_objects = sess.run(net_g_test,feed_dict={z_vector:z_sample})
if not os.path.exists(train_sample_directory):
os.makedirs(train_sample_directory)
g_objects.dump(train_sample_directory+'/biasfree_'+str(epoch))
"
so how can I visualize the output 'biasfree_200' ?
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Research direction
Start with the shown sess.run and g_objects.dump code, then inspect what is stored in train_sample_directory as biasfree_200. Done means documenting a reproducible way to turn that saved generator output into a visualization.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100