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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, AudioPreDeEcho |
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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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func = AudioPre if "DeEcho" not in model_name else AudioPreDeEcho |
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pre_fun = func( |
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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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is_hp3 = "HP3" in model_name |
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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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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, is_hp3=is_hp3 |
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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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print(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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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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