Spaces:
Running
Running
File size: 1,802 Bytes
a6a8479 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
import os
import argparse
import librosa
from multiprocessing import Pool, cpu_count
import soundfile
from tqdm import tqdm
from config import config
def process(item):
wav_name, args = item
wav_path = os.path.join(args.in_dir, wav_name)
if os.path.exists(wav_path) and wav_path.lower().endswith(".wav"):
wav, sr = librosa.load(wav_path, sr=args.sr)
soundfile.write(os.path.join(args.out_dir, wav_name), wav, sr)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--sr",
type=int,
default=config.resample_config.sampling_rate,
help="sampling rate",
)
parser.add_argument(
"--in_dir",
type=str,
default=config.resample_config.in_dir,
help="path to source dir",
)
parser.add_argument(
"--out_dir",
type=str,
default=config.resample_config.out_dir,
help="path to target dir",
)
parser.add_argument(
"--processes",
type=int,
default=0,
help="cpu_processes",
)
args, _ = parser.parse_known_args()
# autodl 无卡模式会识别出46个cpu
if args.processes == 0:
processes = cpu_count() - 2 if cpu_count() > 4 else 1
else:
processes = args.processes
pool = Pool(processes=processes)
tasks = []
for dirpath, _, filenames in os.walk(args.in_dir):
if not os.path.isdir(args.out_dir):
os.makedirs(args.out_dir, exist_ok=True)
for filename in filenames:
if filename.lower().endswith(".wav"):
tasks.append((filename, args))
for _ in tqdm(
pool.imap_unordered(process, tasks),
):
pass
pool.close()
pool.join()
print("音频重采样完毕!")
|