Coverage for src/bob/bio/spear/database/asvspoof2017.py: 100%

1"""Database interface for ASV Spoof 2017 

2 

3This database has a custom class as there is only probe data in the sets (instead of 

4enrollment and probes). 

5It was defined for PAD experiments and should not belong in a bio package. 

6 

7WIP YD 2022 

8""" 

9 

10# "asvspoof2017": { 

11# "local_filename": "asvspoof2017.tar.gz", 

12# "definition_file": "asvspoof2017-db087bb7.tar.gz", # TODO new format 

13# "crc": "db087bb7", 

14# }, 

15 

16 

17# from bob.pipelines import FileListDatabase 

18# from typing import Optional 

19# from sklearn.pipeline import make_pipeline 

20 

21# from bob.bio.spear.transformer import PathToAudio 

22 

23# def ASVSpoof2017CSVDatabase( 

24# name:str = "ASVSpoof2017", 

25# protocol: Optional[str] = None, 

26# dataset_protocols_path: Optional[str] = None, 

27# data_path: Optional[str] = None, 

28# data_ext: str = ".wav", 

29# annotations_path: Optional[str] = None, 

30# annotations_ext: str = ".json", 

31# force_sample_rate: Optional[int] = None, 

32# force_channel: Optional[int] = None, 

33# **kwargs, 

34# ) -> FileListDatabase: 

35 

36# # Load a path into the data of the sample 

37# sample_loader = FileSampleLoader( # TODO: use a non-biometric class 

38# data_loader=path_loader, 

39# dataset_original_directory=data_path, 

40# extension=data_ext, 

41# ) 

42 

43# # Read the file at path and set the data and metadata of a sample 

44# path_to_sample = PathToAudio( 

45# forced_channel=force_channel, forced_sr=force_sample_rate 

46# ) 

47# return FileListDatabase( 

48# protocol=protocol, 

49# dataset_protocols_path=dataset_protocols_path, 

50# transformer=path_to_sample, 

51# )