From 70a236b652b3c2a4377bd551f4b7c9d4c49cb61c Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期五, 23 二月 2024 17:38:54 +0800
Subject: [PATCH] test
---
funasr/utils/load_utils.py | 22 ++++++++++++++--------
1 files changed, 14 insertions(+), 8 deletions(-)
diff --git a/funasr/utils/load_utils.py b/funasr/utils/load_utils.py
index cdd378d..b7d0200 100644
--- a/funasr/utils/load_utils.py
+++ b/funasr/utils/load_utils.py
@@ -17,35 +17,28 @@
def load_audio_text_image_video(data_or_path_or_list, fs: int = 16000, audio_fs: int = 16000, data_type="sound", tokenizer=None, **kwargs):
- pdb.set_trace()
if isinstance(data_or_path_or_list, (list, tuple)):
if data_type is not None and isinstance(data_type, (list, tuple)):
- pdb.set_trace()
data_types = [data_type] * len(data_or_path_or_list)
data_or_path_or_list_ret = [[] for d in data_type]
- pdb.set_trace()
for i, (data_type_i, data_or_path_or_list_i) in enumerate(zip(data_types, data_or_path_or_list)):
-
for j, (data_type_j, data_or_path_or_list_j) in enumerate(zip(data_type_i, data_or_path_or_list_i)):
- pdb.set_trace()
data_or_path_or_list_j = load_audio_text_image_video(data_or_path_or_list_j, fs=fs, audio_fs=audio_fs, data_type=data_type_j, tokenizer=tokenizer, **kwargs)
- pdb.set_trace()
data_or_path_or_list_ret[j].append(data_or_path_or_list_j)
return data_or_path_or_list_ret
else:
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]
- pdb.set_trace()
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
- pdb.set_trace()
if data_type is None or data_type == "sound":
data_or_path_or_list, audio_fs = torchaudio.load(data_or_path_or_list)
if kwargs.get("reduce_channels", True):
data_or_path_or_list = data_or_path_or_list.mean(0)
elif data_type == "text" and tokenizer is not None:
+ pdb.set_trace()
data_or_path_or_list = tokenizer.encode(data_or_path_or_list)
elif data_type == "image": # undo
pass
@@ -60,6 +53,19 @@
data_or_path_or_list = tokenizer.encode(data_or_path_or_list)
elif isinstance(data_or_path_or_list, np.ndarray): # audio sample point
data_or_path_or_list = torch.from_numpy(data_or_path_or_list).squeeze() # [n_samples,]
+ elif isinstance(data_or_path_or_list, str) and data_type == "kaldi_ark":
+ data_mat = kaldiio.load_mat(data_or_path_or_list)
+ if isinstance(data_mat, tuple):
+ sampling_rate, mat = data_mat
+ assert sampling_rate == audio_fs
+ else:
+ mat = data_mat
+ if mat.dtype == 'int16' or mat.dtype == 'int32':
+ mat = mat.astype(np.float64)
+ mat = mat / 32768
+ if mat.ndim ==2:
+ mat = mat[:,0]
+ data_or_path_or_list = mat
else:
pass
# print(f"unsupport data type: {data_or_path_or_list}, return raw data")
--
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