From 6a8c943435edf25f252d9d4db0095d4a01c7a3cd Mon Sep 17 00:00:00 2001
From: 语帆 <yf352572@alibaba-inc.com>
Date: 星期五, 23 二月 2024 16:56:02 +0800
Subject: [PATCH] test
---
funasr/models/lcbnet/model.py | 1 +
funasr/utils/load_utils.py | 16 ++++++++++------
2 files changed, 11 insertions(+), 6 deletions(-)
diff --git a/funasr/models/lcbnet/model.py b/funasr/models/lcbnet/model.py
index 555d4e6..54fba1c 100644
--- a/funasr/models/lcbnet/model.py
+++ b/funasr/models/lcbnet/model.py
@@ -425,6 +425,7 @@
else:
# extract fbank feats
time1 = time.perf_counter()
+ pdb.set_trace()
audio_sample_list = load_audio_text_image_video(data_in, fs=frontend.fs, audio_fs=kwargs.get("fs", 16000),
data_type=kwargs.get("data_type", "sound"),
tokenizer=tokenizer)
diff --git a/funasr/utils/load_utils.py b/funasr/utils/load_utils.py
index 7748172..cdd378d 100644
--- a/funasr/utils/load_utils.py
+++ b/funasr/utils/load_utils.py
@@ -13,30 +13,34 @@
from funasr.download.file import download_from_url
except:
print("urllib is not installed, if you infer from url, please install it first.")
-
+import pdb
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):
@@ -59,7 +63,7 @@
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, :]
--
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