unlinken of already processed training files (seed dependent audio augmentation)

This commit is contained in:
steffen
2020-05-15 19:47:57 +02:00
parent 4a6b32d1dd
commit 192810bc58
3 changed files with 31 additions and 19 deletions

View File

@ -12,6 +12,8 @@ config_file_name = 'config.ini'
if __name__ == '__main__':
for model_path in outpath.iterdir():
if not model_path.is_dir():
continue
out_file = (model_path / metric_file_name)
for paramter_configuration in model_path.iterdir():
uar_scores = defaultdict(list)
@ -46,5 +48,8 @@ if __name__ == '__main__':
writer = csv.DictWriter(f, delimiter=',', lineterminator='\n', fieldnames=headers)
if not file_existed:
writer.writeheader() # file doesn't exist yet, write a header
for row_idx in range(len(uar_scores['mean'])):
writer.writerow({key: uar_scores[key][row_idx] for key in headers})
try:
for row_idx in range(len(uar_scores['mean'])):
writer.writerow({key: uar_scores[key][row_idx] for key in headers})
except IndexError:
print('could not read: ')