Format code (#1153)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
This commit is contained in:
parent
0c75454ddf
commit
d634c2727e
39
gui_v1.py
39
gui_v1.py
@ -303,8 +303,16 @@ if __name__ == "__main__":
|
||||
),
|
||||
],
|
||||
[
|
||||
sg.Checkbox(i18n("输入降噪"), key="I_noise_reduce", enable_events=True),
|
||||
sg.Checkbox(i18n("输出降噪"), key="O_noise_reduce", enable_events=True),
|
||||
sg.Checkbox(
|
||||
i18n("输入降噪"),
|
||||
key="I_noise_reduce",
|
||||
enable_events=True,
|
||||
),
|
||||
sg.Checkbox(
|
||||
i18n("输出降噪"),
|
||||
key="O_noise_reduce",
|
||||
enable_events=True,
|
||||
),
|
||||
],
|
||||
],
|
||||
title=i18n("性能设置"),
|
||||
@ -375,9 +383,9 @@ if __name__ == "__main__":
|
||||
json.dump(settings, j)
|
||||
if event == "stop_vc" and self.flag_vc == True:
|
||||
self.flag_vc = False
|
||||
|
||||
|
||||
# Parameter hot update
|
||||
if event == 'threhold':
|
||||
if event == "threhold":
|
||||
self.config.threhold = values["threhold"]
|
||||
elif event == "pitch":
|
||||
self.config.pitch = values["pitch"]
|
||||
@ -389,14 +397,14 @@ if __name__ == "__main__":
|
||||
self.rvc.change_index_rate(values["index_rate"])
|
||||
elif event in ["pm", "harvest", "crepe", "rmvpe"]:
|
||||
self.config.f0method = event
|
||||
elif event == 'I_noise_reduce':
|
||||
elif event == "I_noise_reduce":
|
||||
self.config.I_noise_reduce = values["I_noise_reduce"]
|
||||
elif event == 'O_noise_reduce':
|
||||
elif event == "O_noise_reduce":
|
||||
self.config.O_noise_reduce = values["O_noise_reduce"]
|
||||
elif event != "start_vc" and self.flag_vc == True:
|
||||
# Other parameters do not support hot update
|
||||
self.flag_vc = False
|
||||
|
||||
|
||||
def set_values(self, values):
|
||||
if len(values["pth_path"].strip()) == 0:
|
||||
sg.popup(i18n("请选择pth文件"))
|
||||
@ -502,9 +510,20 @@ if __name__ == "__main__":
|
||||
self.sola_buffer: torch.Tensor = torch.zeros(
|
||||
self.crossfade_frame, device=device, dtype=torch.float32
|
||||
)
|
||||
self.fade_in_window: torch.Tensor = torch.sin(0.5 * np.pi * torch.linspace(
|
||||
0.0, 1.0, steps=self.crossfade_frame, device=device, dtype=torch.float32
|
||||
)) ** 2
|
||||
self.fade_in_window: torch.Tensor = (
|
||||
torch.sin(
|
||||
0.5
|
||||
* np.pi
|
||||
* torch.linspace(
|
||||
0.0,
|
||||
1.0,
|
||||
steps=self.crossfade_frame,
|
||||
device=device,
|
||||
dtype=torch.float32,
|
||||
)
|
||||
)
|
||||
** 2
|
||||
)
|
||||
self.fade_out_window: torch.Tensor = 1 - self.fade_in_window
|
||||
self.resampler = tat.Resample(
|
||||
orig_freq=self.config.samplerate, new_freq=16000, dtype=torch.float32
|
||||
|
@ -112,17 +112,17 @@ class RVC:
|
||||
self.is_half = config.is_half
|
||||
except:
|
||||
print(traceback.format_exc())
|
||||
|
||||
|
||||
def change_key(self, new_key):
|
||||
self.f0_up_key = new_key
|
||||
|
||||
|
||||
def change_index_rate(self, new_index_rate):
|
||||
if new_index_rate != 0 and self.index_rate == 0:
|
||||
self.index = faiss.read_index(self.index_path)
|
||||
self.big_npy = self.index.reconstruct_n(0, self.index.ntotal)
|
||||
print("index search enabled")
|
||||
self.index = faiss.read_index(self.index_path)
|
||||
self.big_npy = self.index.reconstruct_n(0, self.index.ntotal)
|
||||
print("index search enabled")
|
||||
self.index_rate = new_index_rate
|
||||
|
||||
|
||||
def get_f0_post(self, f0):
|
||||
f0_min = self.f0_min
|
||||
f0_max = self.f0_max
|
||||
|
Loading…
x
Reference in New Issue
Block a user