From 6a8c943435edf25f252d9d4db0095d4a01c7a3cd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E8=AF=AD=E5=B8=86?= Date: Fri, 23 Feb 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 555d4e658..54fba1cb2 100644 --- a/funasr/models/lcbnet/model.py +++ b/funasr/models/lcbnet/model.py @@ -425,6 +425,7 @@ class LCBNet(nn.Module): 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 7748172f6..cdd378de6 100644 --- a/funasr/utils/load_utils.py +++ b/funasr/utils/load_utils.py @@ -13,30 +13,34 @@ try: 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 @@ 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, :]