|
|
@@ -31,6 +31,7 @@ def load_audio_text_image_video(data_or_path_or_list, fs: int = 16000, audio_fs:
|
|
|
return [load_audio_text_image_video(audio, fs=fs, audio_fs=audio_fs, data_type=data_type, **kwargs) for audio in data_or_path_or_list]
|
|
|
if isinstance(data_or_path_or_list, str) and data_or_path_or_list.startswith('http'): # download url to local file
|
|
|
data_or_path_or_list = download_from_url(data_or_path_or_list)
|
|
|
+ pdb.set_trace()
|
|
|
if isinstance(data_or_path_or_list, str) and os.path.exists(data_or_path_or_list): # local file
|
|
|
if data_type is None or data_type == "sound":
|
|
|
data_or_path_or_list, audio_fs = torchaudio.load(data_or_path_or_list)
|
|
|
@@ -66,7 +67,7 @@ def load_audio_text_image_video(data_or_path_or_list, fs: int = 16000, audio_fs:
|
|
|
else:
|
|
|
pass
|
|
|
# print(f"unsupport data type: {data_or_path_or_list}, return raw data")
|
|
|
-
|
|
|
+ pdb.set_trace()
|
|
|
if audio_fs != fs and data_type != "text":
|
|
|
resampler = torchaudio.transforms.Resample(audio_fs, fs)
|
|
|
data_or_path_or_list = resampler(data_or_path_or_list[None, :])[0, :]
|