| 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) |
|
|
