mirror of
https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI.git
synced 2026-06-05 01:10:22 +08:00
98 lines
3.4 KiB
Python
98 lines
3.4 KiB
Python
import os
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import traceback
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import logging
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logger = logging.getLogger(__name__)
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from infer.lib.audio import resample_audio, get_audio_properties
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import torch
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from configs import Config
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from infer.modules.uvr5.mdxnet import MDXNetDereverb
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from infer.modules.uvr5.vr import AudioPre
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config = Config()
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def uvr(model_name, inp_root, save_root_vocal, paths, save_root_ins, agg, format0):
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infos = []
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try:
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inp_root = inp_root.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
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save_root_vocal = (
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save_root_vocal.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
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)
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save_root_ins = (
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save_root_ins.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
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)
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if model_name == "onnx_dereverb_By_FoxJoy":
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pre_fun = MDXNetDereverb(15, config.device)
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else:
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pre_fun = AudioPre(
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agg=int(agg),
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model_path=os.path.join(
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os.getenv("weight_uvr5_root"), model_name + ".pth"
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),
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device=config.device,
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is_half=config.is_half,
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)
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if inp_root != "":
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paths = [os.path.join(inp_root, name) for name in os.listdir(inp_root)]
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else:
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paths = [path.name for path in paths]
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for path in paths:
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inp_path = os.path.join(inp_root, path)
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need_reformat = 1
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done = 0
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try:
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channels, rate = get_audio_properties(inp_path)
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# Check the audio stream's properties
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if channels == 2 and rate == 44100:
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pre_fun._path_audio_(
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inp_path, save_root_ins, save_root_vocal, format0
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)
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need_reformat = 0
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done = 1
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except Exception as e:
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need_reformat = 1
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logger.warning(f"Exception {e} occured. Will reformat")
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if need_reformat == 1:
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tmp_path = "%s/%s.reformatted.wav" % (
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os.path.join(os.environ["TEMP"]),
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os.path.basename(inp_path),
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)
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resample_audio(inp_path, tmp_path, "pcm_s16le", "s16", 44100, "stereo")
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inp_path = tmp_path
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try:
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if done == 0:
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pre_fun._path_audio_(
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inp_path, save_root_ins, save_root_vocal, format0
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)
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infos.append("%s->Success" % (os.path.basename(inp_path)))
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yield "\n".join(infos)
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except:
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infos.append(
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"%s->%s" % (os.path.basename(inp_path), traceback.format_exc())
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)
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yield "\n".join(infos)
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except:
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infos.append(traceback.format_exc())
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yield "\n".join(infos)
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finally:
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try:
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if model_name == "onnx_dereverb_By_FoxJoy":
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del pre_fun.pred.model
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del pre_fun.pred.model_
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else:
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del pre_fun.model
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del pre_fun
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except:
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traceback.print_exc()
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if torch.cuda.is_available():
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torch.cuda.empty_cache()
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logger.info("Executed torch.cuda.empty_cache()")
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elif torch.backends.mps.is_available():
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torch.mps.empty_cache()
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logger.info("Executed torch.mps.empty_cache()")
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yield "\n".join(infos)
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