Save experiment results and run tests

twitter_saliency_filter_analysis--15.py

pairwise_df.to_csv(pairwise_tests_data)

print(len(pairwise_df))
print(pairwise_df.head(2))
print(pairwise_df.tail(2))


fail_df = pairwise_df.loc[pairwise_df['baseline_v1'] != pairwise_df['saliency_out'],
                           ['experiment_id', 'instance_id', 'baseline_h1', 'baseline_h2',
                            'baseline_v1', 'baseline_v2', 'saliency_out']]

for i in range(len(fail_df)):
  fail_file_instance = list(fail_df['instance_id'].values)[i]
  print(fail_file_instance)
  fail_filename = glob.glob(f"{output_dir}/{fail_file_instance}*.jpeg")[0]
  fail_sm_filename = glob.glob(f"{output_dir}/{fail_file_instance}*sm.jpeg")[0]
  print(model.get_output(Path(fail_filename))['salient_point'])
  display(Image.open(fail_filename), Image.open(fail_sm_filename))