From 343a281ca14809153e2ab1df49ca0c5ffdb01abd Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期三, 28 二月 2024 13:56:32 +0800
Subject: [PATCH] test
---
funasr/utils/load_utils.py | 6 +++---
1 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/funasr/utils/load_utils.py b/funasr/utils/load_utils.py
index 20fa0fd..963f5c2 100644
--- a/funasr/utils/load_utils.py
+++ b/funasr/utils/load_utils.py
@@ -31,14 +31,13 @@
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)
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
@@ -68,7 +67,7 @@
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, :]
@@ -112,6 +111,7 @@
# import pdb;
# pdb.set_trace()
# if data_type == "sound":
+ pdb.set_trace()
data, data_len = frontend(data, data_len, **kwargs)
if isinstance(data_len, (list, tuple)):
--
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