mirror of
https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
synced 2026-01-19 18:41:52 +00:00
chore(format): run black on dev (#1638)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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997a956f4f
commit
5449f84f06
67
gui_v1.py
67
gui_v1.py
@@ -38,10 +38,14 @@ def phase_vocoder(a, b, fade_out, fade_in):
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deltaphase = deltaphase - 2 * np.pi * torch.floor(deltaphase / 2 / np.pi + 0.5)
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w = 2 * np.pi * torch.arange(n // 2 + 1).to(a) + deltaphase
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t = torch.arange(n).unsqueeze(-1).to(a) / n
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result = a * (fade_out ** 2) + b * (fade_in ** 2) + torch.sum(absab * torch.cos(w * t + phia), -1) * window / n
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result = (
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a * (fade_out**2)
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+ b * (fade_in**2)
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+ torch.sum(absab * torch.cos(w * t + phia), -1) * window / n
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)
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return result
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class Harvest(multiprocessing.Process):
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def __init__(self, inp_q, opt_q):
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multiprocessing.Process.__init__(self)
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@@ -592,11 +596,11 @@ if __name__ == "__main__":
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self.gui_config.pth_path = values["pth_path"]
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self.gui_config.index_path = values["index_path"]
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self.gui_config.sr_type = ["sr_model", "sr_device"][
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[
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values["sr_model"],
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values["sr_device"],
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].index(True)
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]
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[
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values["sr_model"],
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values["sr_device"],
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].index(True)
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]
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self.gui_config.threhold = values["threhold"]
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self.gui_config.pitch = values["pitch"]
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self.gui_config.block_time = values["block_time"]
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@@ -633,7 +637,11 @@ if __name__ == "__main__":
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self.config,
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self.rvc if hasattr(self, "rvc") else None,
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)
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self.gui_config.samplerate = self.rvc.tgt_sr if self.gui_config.sr_type == "sr_model" else self.get_device_samplerate()
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self.gui_config.samplerate = (
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self.rvc.tgt_sr
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if self.gui_config.sr_type == "sr_model"
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else self.get_device_samplerate()
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)
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self.zc = self.gui_config.samplerate // 100
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self.block_frame = (
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int(
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@@ -690,7 +698,9 @@ if __name__ == "__main__":
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2 * self.zc, device=self.config.device, dtype=torch.float32
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)
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self.skip_head = self.extra_frame // self.zc
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self.return_length = (self.block_frame + self.sola_buffer_frame + self.sola_search_frame) // self.zc
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self.return_length = (
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self.block_frame + self.sola_buffer_frame + self.sola_search_frame
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) // self.zc
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self.fade_in_window: torch.Tensor = (
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torch.sin(
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0.5
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@@ -824,7 +834,11 @@ if __name__ == "__main__":
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# volume envelop mixing
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if self.gui_config.rms_mix_rate < 1 and self.function == "vc":
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rms1 = librosa.feature.rms(
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y=self.input_wav_res[160 * self.skip_head : 160 * (self.skip_head + self.return_length)]
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y=self.input_wav_res[
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160
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* self.skip_head : 160
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* (self.skip_head + self.return_length)
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]
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.cpu()
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.numpy(),
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frame_length=640,
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@@ -871,21 +885,24 @@ if __name__ == "__main__":
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else:
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sola_offset = torch.argmax(cor_nom[0, 0] / cor_den[0, 0])
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printt("sola_offset = %d", int(sola_offset))
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infer_wav = infer_wav[sola_offset :]
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infer_wav = infer_wav[sola_offset:]
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if "privateuseone" in str(self.config.device) or not self.gui_config.use_pv:
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infer_wav[: self.sola_buffer_frame] *= self.fade_in_window
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infer_wav[: self.sola_buffer_frame] += self.sola_buffer * self.fade_out_window
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infer_wav[: self.sola_buffer_frame] += (
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self.sola_buffer * self.fade_out_window
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)
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else:
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infer_wav[: self.sola_buffer_frame] = phase_vocoder(
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self.sola_buffer,
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infer_wav[: self.sola_buffer_frame],
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self.fade_out_window,
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self.fade_in_window)
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self.sola_buffer[:] = infer_wav[self.block_frame : self.block_frame + self.sola_buffer_frame]
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if sys.platform == "darwin":
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outdata[:] = (
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infer_wav[: self.block_frame].cpu().numpy()[:, np.newaxis]
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self.sola_buffer,
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infer_wav[: self.sola_buffer_frame],
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self.fade_out_window,
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self.fade_in_window,
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)
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self.sola_buffer[:] = infer_wav[
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self.block_frame : self.block_frame + self.sola_buffer_frame
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]
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if sys.platform == "darwin":
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outdata[:] = infer_wav[: self.block_frame].cpu().numpy()[:, np.newaxis]
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else:
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outdata[:] = (
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infer_wav[: self.block_frame].repeat(2, 1).t().cpu().numpy()
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@@ -930,7 +947,7 @@ if __name__ == "__main__":
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input_devices_indices,
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output_devices_indices,
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)
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def set_devices(self, input_device, output_device):
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"""设置输出设备"""
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(
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@@ -947,8 +964,10 @@ if __name__ == "__main__":
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]
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printt("Input device: %s:%s", str(sd.default.device[0]), input_device)
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printt("Output device: %s:%s", str(sd.default.device[1]), output_device)
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def get_device_samplerate(self):
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return int(sd.query_devices(device=sd.default.device[0])['default_samplerate'])
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return int(
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sd.query_devices(device=sd.default.device[0])["default_samplerate"]
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)
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gui = GUI()
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