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| import os | |
| import traceback | |
| import logging | |
| logger = logging.getLogger(__name__) | |
| import ffmpeg | |
| import torch | |
| from configs.config import Config | |
| from infer.modules.uvr5.mdxnet import MDXNetDereverb | |
| from infer.modules.uvr5.preprocess import AudioPre, AudioPreDeEcho | |
| config = Config() | |
| def uvr(model_name, inp_root, save_root_vocal, paths, save_root_ins, agg, format0): | |
| infos = [] | |
| try: | |
| inp_root = inp_root.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
| save_root_vocal = ( | |
| save_root_vocal.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
| ) | |
| save_root_ins = ( | |
| save_root_ins.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
| ) | |
| if model_name == "onnx_dereverb_By_FoxJoy": | |
| pre_fun = MDXNetDereverb(15, config.device) | |
| else: | |
| func = AudioPre if "DeEcho" not in model_name else AudioPreDeEcho | |
| pre_fun = func( | |
| agg=int(agg), | |
| model_path=os.path.join( | |
| os.getenv("weight_uvr5_root"), model_name + ".pth" | |
| ), | |
| device=config.device, | |
| is_half=config.is_half, | |
| ) | |
| if inp_root != "": | |
| paths = [os.path.join(inp_root, name) for name in os.listdir(inp_root)] | |
| else: | |
| paths = [path.name for path in paths] | |
| for path in paths: | |
| inp_path = os.path.join(inp_root, path) | |
| need_reformat = 1 | |
| done = 0 | |
| try: | |
| info = ffmpeg.probe(inp_path, cmd="ffprobe") | |
| if ( | |
| info["streams"][0]["channels"] == 2 | |
| and info["streams"][0]["sample_rate"] == "44100" | |
| ): | |
| need_reformat = 0 | |
| pre_fun._path_audio_( | |
| inp_path, save_root_ins, save_root_vocal, format0 | |
| ) | |
| done = 1 | |
| except: | |
| need_reformat = 1 | |
| traceback.print_exc() | |
| if need_reformat == 1: | |
| tmp_path = "%s/%s.reformatted.wav" % ( | |
| os.path.join(os.environ["TEMP"]), | |
| os.path.basename(inp_path), | |
| ) | |
| os.system( | |
| "ffmpeg -i %s -vn -acodec pcm_s16le -ac 2 -ar 44100 %s -y" | |
| % (inp_path, tmp_path) | |
| ) | |
| inp_path = tmp_path | |
| try: | |
| if done == 0: | |
| pre_fun.path_audio( | |
| inp_path, save_root_ins, save_root_vocal, format0 | |
| ) | |
| infos.append("%s->Success" % (os.path.basename(inp_path))) | |
| yield "\n".join(infos) | |
| except: | |
| try: | |
| if done == 0: | |
| pre_fun._path_audio_( | |
| inp_path, save_root_ins, save_root_vocal, format0 | |
| ) | |
| infos.append("%s->Success" % (os.path.basename(inp_path))) | |
| yield "\n".join(infos) | |
| except: | |
| infos.append( | |
| "%s->%s" % (os.path.basename(inp_path), traceback.format_exc()) | |
| ) | |
| yield "\n".join(infos) | |
| except: | |
| infos.append(traceback.format_exc()) | |
| yield "\n".join(infos) | |
| finally: | |
| try: | |
| if model_name == "onnx_dereverb_By_FoxJoy": | |
| del pre_fun.pred.model | |
| del pre_fun.pred.model_ | |
| else: | |
| del pre_fun.model | |
| del pre_fun | |
| except: | |
| traceback.print_exc() | |
| if torch.cuda.is_available(): | |
| torch.cuda.empty_cache() | |
| logger.info("Executed torch.cuda.empty_cache()") | |
| yield "\n".join(infos) | |