feat(gui): trained_xxxx.index hint (fix #1070)
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@ -530,7 +530,7 @@ if __name__ == "__main__":
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self.gui_config.sg_hostapi = self.hostapis[0]
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self.window["sg_hostapi"].Update(values=self.hostapis)
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self.window["sg_hostapi"].Update(value=self.gui_config.sg_hostapi)
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if self.gui_config.sg_input_device not in self.input_devices:
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if self.gui_config.sg_input_device not in self.input_devices and len(self.input_devices) > 0:
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self.gui_config.sg_input_device = self.input_devices[0]
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self.window["sg_input_device"].Update(values=self.input_devices)
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self.window["sg_input_device"].Update(
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@ -372,6 +372,7 @@ class RVC:
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if hasattr(self, "index") and self.index_rate != 0:
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npy = feats[0][skip_head // 2 :].cpu().numpy().astype("float32")
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score, ix = self.index.search(npy, k=8)
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if (ix >= 0).all():
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weight = np.square(1 / score)
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weight /= weight.sum(axis=1, keepdims=True)
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npy = np.sum(self.big_npy[ix] * np.expand_dims(weight, axis=2), axis=1)
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@ -381,6 +382,7 @@ class RVC:
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torch.from_numpy(npy).unsqueeze(0).to(self.device) * self.index_rate
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+ (1 - self.index_rate) * feats[0][skip_head // 2 :]
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)
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else: printt("Invalid index. You MUST use added_xxxx.index but not trained_xxxx.index!")
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else:
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printt("Index search FAILED or disabled")
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except:
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