Files changed (1) hide show
  1. myinfer.py +25 -17
myinfer.py CHANGED
@@ -1,6 +1,7 @@
1
  '''
2
- runtime\python.exe myinfer.py 0 "E:\codes\py39\RVC-beta\todo-songs\1111.wav" "E:\codes\py39\logs\mi-test\added_IVF677_Flat_nprobe_7.index" harvest "test.wav" "weights/mi-test.pth" 0.6 cuda:0 True
3
  '''
 
4
  import os,sys,pdb,torch
5
  now_dir = os.getcwd()
6
  sys.path.append(now_dir)
@@ -86,21 +87,28 @@ class Config:
86
 
87
  return x_pad, x_query, x_center, x_max
88
 
89
- f0up_key=sys.argv[1]
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- input_path=sys.argv[2]
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- index_path=sys.argv[3]
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- f0method=sys.argv[4]#harvest or pm
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- opt_path=sys.argv[5]
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- model_path=sys.argv[6]
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- index_rate=float(sys.argv[7])
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- device=sys.argv[8]
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- is_half=bool(sys.argv[9])
 
 
 
 
 
 
 
98
  print(sys.argv)
99
  config=Config(device,is_half)
100
  now_dir=os.getcwd()
101
  sys.path.append(now_dir)
102
  from vc_infer_pipeline import VC
103
- from lib.infer_pack.models import SynthesizerTrnMs256NSFsid, SynthesizerTrnMs256NSFsid_nono
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  from lib.audio import load_audio
105
  from fairseq import checkpoint_utils
106
  from scipy.io import wavfile
@@ -115,8 +123,8 @@ def load_hubert():
115
  else:hubert_model = hubert_model.float()
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  hubert_model.eval()
117
 
118
- def vc_single(sid,input_audio,f0_up_key,f0_file,f0_method,file_index,index_rate):
119
- global tgt_sr,net_g,vc,hubert_model
120
  if input_audio is None:return "You need to upload an audio", None
121
  f0_up_key = int(f0_up_key)
122
  audio=load_audio(input_audio,16000)
@@ -124,7 +132,7 @@ def vc_single(sid,input_audio,f0_up_key,f0_file,f0_method,file_index,index_rate)
124
  if(hubert_model==None):load_hubert()
125
  if_f0 = cpt.get("f0", 1)
126
  # audio_opt=vc.pipeline(hubert_model,net_g,sid,audio,times,f0_up_key,f0_method,file_index,file_big_npy,index_rate,if_f0,f0_file=f0_file)
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- audio_opt=vc.pipeline(hubert_model,net_g,sid,audio,times,f0_up_key,f0_method,file_index,index_rate,if_f0,f0_file=f0_file)
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  print(times)
129
  return audio_opt
130
 
@@ -137,9 +145,9 @@ def get_vc(model_path):
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  cpt["config"][-3]=cpt["weight"]["emb_g.weight"].shape[0]#n_spk
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  if_f0=cpt.get("f0",1)
139
  if(if_f0==1):
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- net_g = SynthesizerTrnMs256NSFsid(*cpt["config"], is_half=is_half)
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  else:
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- net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
143
  del net_g.enc_q
144
  print(net_g.load_state_dict(cpt["weight"], strict=False)) # 不加这一行清不干净,真奇葩
145
  net_g.eval().to(device)
@@ -151,6 +159,6 @@ def get_vc(model_path):
151
 
152
 
153
  get_vc(model_path)
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- wav_opt=vc_single(0,input_path,f0up_key,None,f0method,index_path,index_rate)
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  wavfile.write(opt_path, tgt_sr, wav_opt)
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1
  '''
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+ runtime\python.exe myinfer.py 0 "C:\ YOUR PATH FOR THE ROOT (RVC0813Nvidia)\INPUTS_VOCAL\vocal.wav" "C:\ YOUR PATH FOR THE ROOT (RVC0813Nvidia)\logs\Hagrid.index" harvest "C:\ YOUR PATH FOR THE ROOT (RVC0813Nvidia)\INPUTS_VOCAL\test.wav" "C:\ YOUR PATH FOR THE ROOT (RVC0813Nvidia)\weights\HagridFR.pth" 0.6 cuda:0 True 5 44100 44100 1.0 1.0 True
3
  '''
4
+
5
  import os,sys,pdb,torch
6
  now_dir = os.getcwd()
7
  sys.path.append(now_dir)
 
87
 
88
  return x_pad, x_query, x_center, x_max
89
 
90
+ f0up_key=sys.argv[1]
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+ input_path = sys.argv[2]
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+ index_path = sys.argv[3]
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+ f0method = sys.argv[4]
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+ opt_path = sys.argv[5]
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+ model_path = sys.argv[6]
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+ index_rate = float(sys.argv[7])
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+ device = sys.argv[8]
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+ is_half = bool(sys.argv[9])
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+ filter_radius = int(sys.argv[10])
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+ tgt_sr = int(sys.argv[11])
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+ resample_sr = int(sys.argv[12])
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+ rms_mix_rate = float(sys.argv[13])
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+ version = sys.argv[14]
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+ protect = sys.argv[15].lower() == 'false'
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+
106
  print(sys.argv)
107
  config=Config(device,is_half)
108
  now_dir=os.getcwd()
109
  sys.path.append(now_dir)
110
  from vc_infer_pipeline import VC
111
+ from lib.infer_pack.models import SynthesizerTrnMs768NSFsid, SynthesizerTrnMs768NSFsid_nono
112
  from lib.audio import load_audio
113
  from fairseq import checkpoint_utils
114
  from scipy.io import wavfile
 
123
  else:hubert_model = hubert_model.float()
124
  hubert_model.eval()
125
 
126
+ def vc_single(sid, input_audio, f0_up_key, f0_file, f0_method, file_index, index_rate, filter_radius, tgt_sr, resample_sr, rms_mix_rate, version, protect):
127
+ global net_g, vc, hubert_model
128
  if input_audio is None:return "You need to upload an audio", None
129
  f0_up_key = int(f0_up_key)
130
  audio=load_audio(input_audio,16000)
 
132
  if(hubert_model==None):load_hubert()
133
  if_f0 = cpt.get("f0", 1)
134
  # audio_opt=vc.pipeline(hubert_model,net_g,sid,audio,times,f0_up_key,f0_method,file_index,file_big_npy,index_rate,if_f0,f0_file=f0_file)
135
+ audio_opt = vc.pipeline(hubert_model, net_g, sid, audio, input_path, times, f0_up_key, f0_method, index_path, index_rate, if_f0, filter_radius, tgt_sr, resample_sr, rms_mix_rate, version, protect, f0_file=f0_file)
136
  print(times)
137
  return audio_opt
138
 
 
145
  cpt["config"][-3]=cpt["weight"]["emb_g.weight"].shape[0]#n_spk
146
  if_f0=cpt.get("f0",1)
147
  if(if_f0==1):
148
+ net_g = SynthesizerTrnMs768NSFsid(*cpt["config"], is_half=is_half)
149
  else:
150
+ net_g = SynthesizerTrnMs768NSFsid_nono(*cpt["config"])
151
  del net_g.enc_q
152
  print(net_g.load_state_dict(cpt["weight"], strict=False)) # 不加这一行清不干净,真奇葩
153
  net_g.eval().to(device)
 
159
 
160
 
161
  get_vc(model_path)
162
+ wav_opt = vc_single(0, input_path, f0up_key, None, f0method, index_path, index_rate, filter_radius, tgt_sr, resample_sr, rms_mix_rate, version, protect)
163
  wavfile.write(opt_path, tgt_sr, wav_opt)
164