optimize(rmvpe): move rmvpe into rvc.f0

tools/cmd/onnx/export.py

@@ -0,0 +1,3 @@
+from rvc.onnx import export_onnx
+
+export_onnx("pt/Justin Bieber.pth", "pt/TestRvc_Rvc.onnx")

tools/cmd/onnx/infer.py

@@ -0,0 +1,22 @@
+import soundfile
+import librosa
+
+from rvc.onnx import RVC
+
+hop_size = 512
+sampling_rate = 40000  # 采样率
+f0_up_key = 0  # 升降调
+sid = 0  # 角色ID
+f0_method = "dio"  # F0提取算法
+model_path = "exported_model.onnx"  # 模型的完整路径
+vec_path = "vec-256-layer-9.onnx"  # 需要onnx的vec模型
+wav_path = "123.wav"  # 输入路径或ByteIO实例
+out_path = "out.wav"  # 输出路径或ByteIO实例
+
+model = RVC(model_path, vec_path=vec_path, hop_len=hop_size, device="cuda")
+
+wav, sr = librosa.load(wav_path, sr=sampling_rate)
+
+audio = model.infer(wav, sr, sampling_rate, sid, f0_method, f0_up_key)
+
+soundfile.write(out_path, audio, sampling_rate)