sample_id.fingerprint.fingerprint module¶

class sample_id.fingerprint.fingerprint.Fingerprint(keypoints, descriptors, id, sr, hop_length, is_deduped=False, octave_bins=None)[source]¶

Bases: object

keypoint_index_ids()[source]¶

keypoint_index_ms()[source]¶

keypoint_ms(kp)[source]¶

Return type: int

remove_similar_keypoints()[source]¶

save(filepath, compress=True)[source]¶

save_to_dir(dir, compress=True)[source]¶

spectrogram = NotImplemented¶

class sample_id.fingerprint.fingerprint.Fingerprints(keypoints, descriptors, index_to_id, index_to_ms)[source]¶: Bases: object

class sample_id.fingerprint.fingerprint.Keypoint(kp)[source]¶

Bases: object

A fingerprint keypoint.

kp: np.ndarray[np.float32]¶

orientation: float¶

scale: float¶

x: float¶

y: float¶

class sample_id.fingerprint.fingerprint.LazyFingerprints(npz_filepath)[source]¶

Bases: sample_id.fingerprint.fingerprint.Fingerprints

property descriptors¶

property index_to_id¶

property index_to_ms¶

property keypoints¶

sample_id.fingerprint.fingerprint.from_file(audio_path, id, sr, hop_length=512, feature='sift', dedupe=False, **kwargs)[source]¶

Generate a fingerprint from an audio file.

Return type: Fingerprint

sample_id.fingerprint.fingerprint.load(filepath)[source]¶

Load a fingerprint from file.

Return type: Fingerprint

sample_id.fingerprint.fingerprint.load_fingerprints(filepath)[source]¶

Return type: Fingerprints

sample_id.fingerprint.fingerprint.save_fingerprints(fingerprints, filepath, compress=True)[source]¶