From 70a236b652b3c2a4377bd551f4b7c9d4c49cb61c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E8=AF=AD=E5=B8=86?= Date: Fri, 23 Feb 2024 17:38:54 +0800 Subject: [PATCH] test --- .../lcbnet/demo2.sh | 2 +- funasr/utils/load_utils.py | 22 ++++++++++++------- 2 files changed, 15 insertions(+), 9 deletions(-) diff --git a/examples/industrial_data_pretraining/lcbnet/demo2.sh b/examples/industrial_data_pretraining/lcbnet/demo2.sh index 3e4d22393..cfb5b235e 100755 --- a/examples/industrial_data_pretraining/lcbnet/demo2.sh +++ b/examples/industrial_data_pretraining/lcbnet/demo2.sh @@ -8,7 +8,7 @@ python -m funasr.bin.inference \ ++tokenizer_conf.token_list=${file_dir}/tokens.txt \ ++frontend_conf.cmvn_file=${file_dir}/am.mvn \ ++input=[${file_dir}/wav.scp,${file_dir}/ocr_text] \ -+data_type='["sound", "text"]' \ ++data_type='["kaldi_ark", "text"]' \ ++tokenizer_conf.bpemodel=${file_dir}/bpe.model \ ++output_dir="./outputs/debug" \ ++device="" \ diff --git a/funasr/utils/load_utils.py b/funasr/utils/load_utils.py index cdd378de6..b7d0200cc 100644 --- a/funasr/utils/load_utils.py +++ b/funasr/utils/load_utils.py @@ -17,35 +17,28 @@ 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): 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 @@ def load_audio_text_image_video(data_or_path_or_list, fs: int = 16000, audio_fs: 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")