- Run
./download_evaluation_data.py
to download the weights for artist classification model. - Set
results_dir
variable ineval_deception_score.py:92
to point to the directory with stylized images. All images generated by one method must be in one directory. Image filenames must be in format"{content_name}_stylized_{artist_name}.jpg"
, for example:"Places366_val_00000510_stylized_vincent-van-gogh.jpg"
. - Run
./run_deception_score_vgg_16_wikiart.sh
- Read results in the log file in
./logs
directory.
- Download validation sets from MSCOCO (val2017.zip) and Places365 (val_large.tar).
- To compare with deception score reported in the paper run your stylization model on the content images listed in eval_paths_700_val.json.