Delete gui_v1.py

gui_v1.py

@@ -1,661 +0,0 @@
-import os, sys
-
-if sys.platform == "darwin":
-    os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
-
-now_dir = os.getcwd()
-sys.path.append(now_dir)
-import multiprocessing
-
-
-class Harvest(multiprocessing.Process):
-    def __init__(self, inp_q, opt_q):
-        multiprocessing.Process.__init__(self)
-        self.inp_q = inp_q
-        self.opt_q = opt_q
-
-    def run(self):
-        import numpy as np, pyworld
-
-        while 1:
-            idx, x, res_f0, n_cpu, ts = self.inp_q.get()
-            f0, t = pyworld.harvest(
-                x.astype(np.double),
-                fs=16000,
-                f0_ceil=1100,
-                f0_floor=50,
-                frame_period=10,
-            )
-            res_f0[idx] = f0
-            if len(res_f0.keys()) >= n_cpu:
-                self.opt_q.put(ts)
-
-
-if __name__ == "__main__":
-    from multiprocessing import Queue
-    from queue import Empty
-    import numpy as np
-    import multiprocessing
-    import traceback, re
-    import json
-    import PySimpleGUI as sg
-    import sounddevice as sd
-    import noisereduce as nr
-    from multiprocessing import cpu_count
-    import librosa, torch, time, threading
-    import torch.nn.functional as F
-    import torchaudio.transforms as tat
-    from i18n import I18nAuto
-
-    i18n = I18nAuto()
-    device = torch.device(
-        "cuda"
-        if torch.cuda.is_available()
-        else ("mps" if torch.backends.mps.is_available() else "cpu")
-    )
-    current_dir = os.getcwd()
-    inp_q = Queue()
-    opt_q = Queue()
-    n_cpu = min(cpu_count(), 8)
-    for _ in range(n_cpu):
-        Harvest(inp_q, opt_q).start()
-    from rvc_for_realtime import RVC
-
-    class GUIConfig:
-        def __init__(self) -> None:
-            self.pth_path: str = ""
-            self.index_path: str = ""
-            self.pitch: int = 12
-            self.samplerate: int = 40000
-            self.block_time: float = 1.0  # s
-            self.buffer_num: int = 1
-            self.threhold: int = -30
-            self.crossfade_time: float = 0.08
-            self.extra_time: float = 0.04
-            self.I_noise_reduce = False
-            self.O_noise_reduce = False
-            self.index_rate = 0.3
-            self.n_cpu = min(n_cpu, 8)
-            self.f0method = "harvest"
-            self.sg_input_device = ""
-            self.sg_output_device = ""
-
-    class GUI:
-        def __init__(self) -> None:
-            self.config = GUIConfig()
-            self.flag_vc = False
-
-            self.launcher()
-
-        def load(self):
-            input_devices, output_devices, _, _ = self.get_devices()
-            try:
-                with open("values1.json", "r") as j:
-                    data = json.load(j)
-                    data["pm"] = data["f0method"] == "pm"
-                    data["harvest"] = data["f0method"] == "harvest"
-                    data["crepe"] = data["f0method"] == "crepe"
-                    data["rmvpe"] = data["f0method"] == "rmvpe"
-            except:
-                with open("values1.json", "w") as j:
-                    data = {
-                        "pth_path": " ",
-                        "index_path": " ",
-                        "sg_input_device": input_devices[sd.default.device[0]],
-                        "sg_output_device": output_devices[sd.default.device[1]],
-                        "threhold": "-45",
-                        "pitch": "0",
-                        "index_rate": "0",
-                        "block_time": "1",
-                        "crossfade_length": "0.04",
-                        "extra_time": "1",
-                        "f0method": "rmvpe",
-                    }
-            return data
-
-        def launcher(self):
-            data = self.load()
-            sg.theme("LightBlue3")
-            input_devices, output_devices, _, _ = self.get_devices()
-            layout = [
-                [
-                    sg.Frame(
-                        title=i18n("加载模型"),
-                        layout=[
-                            [
-                                sg.Input(
-                                    default_text=data.get("pth_path", ""),
-                                    key="pth_path",
-                                ),
-                                sg.FileBrowse(
-                                    i18n("选择.pth文件"),
-                                    initial_folder=os.path.join(os.getcwd(), "weights"),
-                                    file_types=((". pth"),),
-                                ),
-                            ],
-                            [
-                                sg.Input(
-                                    default_text=data.get("index_path", ""),
-                                    key="index_path",
-                                ),
-                                sg.FileBrowse(
-                                    i18n("选择.index文件"),
-                                    initial_folder=os.path.join(os.getcwd(), "logs"),
-                                    file_types=((". index"),),
-                                ),
-                            ],
-                        ],
-                    )
-                ],
-                [
-                    sg.Frame(
-                        layout=[
-                            [
-                                sg.Text(i18n("输入设备")),
-                                sg.Combo(
-                                    input_devices,
-                                    key="sg_input_device",
-                                    default_value=data.get("sg_input_device", ""),
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("输出设备")),
-                                sg.Combo(
-                                    output_devices,
-                                    key="sg_output_device",
-                                    default_value=data.get("sg_output_device", ""),
-                                ),
-                            ],
-                            [sg.Button(i18n("重载设备列表"), key="reload_devices")],
-                        ],
-                        title=i18n("音频设备(请使用同种类驱动)"),
-                    )
-                ],
-                [
-                    sg.Frame(
-                        layout=[
-                            [
-                                sg.Text(i18n("响应阈值")),
-                                sg.Slider(
-                                    range=(-60, 0),
-                                    key="threhold",
-                                    resolution=1,
-                                    orientation="h",
-                                    default_value=data.get("threhold", ""),
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("音调设置")),
-                                sg.Slider(
-                                    range=(-24, 24),
-                                    key="pitch",
-                                    resolution=1,
-                                    orientation="h",
-                                    default_value=data.get("pitch", ""),
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("Index Rate")),
-                                sg.Slider(
-                                    range=(0.0, 1.0),
-                                    key="index_rate",
-                                    resolution=0.01,
-                                    orientation="h",
-                                    default_value=data.get("index_rate", ""),
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("音高算法")),
-                                sg.Radio(
-                                    "pm",
-                                    "f0method",
-                                    key="pm",
-                                    default=data.get("pm", "") == True,
-                                ),
-                                sg.Radio(
-                                    "harvest",
-                                    "f0method",
-                                    key="harvest",
-                                    default=data.get("harvest", "") == True,
-                                ),
-                                sg.Radio(
-                                    "crepe",
-                                    "f0method",
-                                    key="crepe",
-                                    default=data.get("crepe", "") == True,
-                                ),
-                                sg.Radio(
-                                    "rmvpe",
-                                    "f0method",
-                                    key="rmvpe",
-                                    default=data.get("rmvpe", "") == True,
-                                ),
-                            ],
-                        ],
-                        title=i18n("常规设置"),
-                    ),
-                    sg.Frame(
-                        layout=[
-                            [
-                                sg.Text(i18n("采样长度")),
-                                sg.Slider(
-                                    range=(0.12, 2.4),
-                                    key="block_time",
-                                    resolution=0.03,
-                                    orientation="h",
-                                    default_value=data.get("block_time", ""),
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("harvest进程数")),
-                                sg.Slider(
-                                    range=(1, n_cpu),
-                                    key="n_cpu",
-                                    resolution=1,
-                                    orientation="h",
-                                    default_value=data.get(
-                                        "n_cpu", min(self.config.n_cpu, n_cpu)
-                                    ),
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("淡入淡出长度")),
-                                sg.Slider(
-                                    range=(0.01, 0.15),
-                                    key="crossfade_length",
-                                    resolution=0.01,
-                                    orientation="h",
-                                    default_value=data.get("crossfade_length", ""),
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("额外推理时长")),
-                                sg.Slider(
-                                    range=(0.05, 3.00),
-                                    key="extra_time",
-                                    resolution=0.01,
-                                    orientation="h",
-                                    default_value=data.get("extra_time", ""),
-                                ),
-                            ],
-                            [
-                                sg.Checkbox(i18n("输入降噪"), key="I_noise_reduce"),
-                                sg.Checkbox(i18n("输出降噪"), key="O_noise_reduce"),
-                            ],
-                        ],
-                        title=i18n("性能设置"),
-                    ),
-                ],
-                [
-                    sg.Button(i18n("开始音频转换"), key="start_vc"),
-                    sg.Button(i18n("停止音频转换"), key="stop_vc"),
-                    sg.Text(i18n("推理时间(ms):")),
-                    sg.Text("0", key="infer_time"),
-                ],
-            ]
-            self.window = sg.Window("RVC - GUI", layout=layout)
-            self.event_handler()
-
-        def event_handler(self):
-            while True:
-                event, values = self.window.read()
-                if event == sg.WINDOW_CLOSED:
-                    self.flag_vc = False
-                    exit()
-                if event == "reload_devices":
-                    prev_input = self.window["sg_input_device"].get()
-                    prev_output = self.window["sg_output_device"].get()
-                    input_devices, output_devices, _, _ = self.get_devices(update=True)
-                    if prev_input not in input_devices:
-                        self.config.sg_input_device = input_devices[0]
-                    else:
-                        self.config.sg_input_device = prev_input
-                    self.window["sg_input_device"].Update(values=input_devices)
-                    self.window["sg_input_device"].Update(
-                        value=self.config.sg_input_device
-                    )
-                    if prev_output not in output_devices:
-                        self.config.sg_output_device = output_devices[0]
-                    else:
-                        self.config.sg_output_device = prev_output
-                    self.window["sg_output_device"].Update(values=output_devices)
-                    self.window["sg_output_device"].Update(
-                        value=self.config.sg_output_device
-                    )
-                if event == "start_vc" and self.flag_vc == False:
-                    if self.set_values(values) == True:
-                        print("using_cuda:" + str(torch.cuda.is_available()))
-                        self.start_vc()
-                        settings = {
-                            "pth_path": values["pth_path"],
-                            "index_path": values["index_path"],
-                            "sg_input_device": values["sg_input_device"],
-                            "sg_output_device": values["sg_output_device"],
-                            "threhold": values["threhold"],
-                            "pitch": values["pitch"],
-                            "index_rate": values["index_rate"],
-                            "block_time": values["block_time"],
-                            "crossfade_length": values["crossfade_length"],
-                            "extra_time": values["extra_time"],
-                            "n_cpu": values["n_cpu"],
-                            "f0method": ["pm", "harvest", "crepe", "rmvpe"][
-                                [
-                                    values["pm"],
-                                    values["harvest"],
-                                    values["crepe"],
-                                    values["rmvpe"],
-                                ].index(True)
-                            ],
-                        }
-                        with open("values1.json", "w") as j:
-                            json.dump(settings, j)
-                if event == "stop_vc" and self.flag_vc == True:
-                    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"))
-                return False
-            if len(values["index_path"].strip()) == 0:
-                sg.popup(i18n("请选择index文件"))
-                return False
-            pattern = re.compile("[^\x00-\x7F]+")
-            if pattern.findall(values["pth_path"]):
-                sg.popup(i18n("pth文件路径不可包含中文"))
-                return False
-            if pattern.findall(values["index_path"]):
-                sg.popup(i18n("index文件路径不可包含中文"))
-                return False
-            self.set_devices(values["sg_input_device"], values["sg_output_device"])
-            self.config.pth_path = values["pth_path"]
-            self.config.index_path = values["index_path"]
-            self.config.threhold = values["threhold"]
-            self.config.pitch = values["pitch"]
-            self.config.block_time = values["block_time"]
-            self.config.crossfade_time = values["crossfade_length"]
-            self.config.extra_time = values["extra_time"]
-            self.config.I_noise_reduce = values["I_noise_reduce"]
-            self.config.O_noise_reduce = values["O_noise_reduce"]
-            self.config.index_rate = values["index_rate"]
-            self.config.n_cpu = values["n_cpu"]
-            self.config.f0method = ["pm", "harvest", "crepe", "rmvpe"][
-                [
-                    values["pm"],
-                    values["harvest"],
-                    values["crepe"],
-                    values["rmvpe"],
-                ].index(True)
-            ]
-            return True
-
-        def start_vc(self):
-            torch.cuda.empty_cache()
-            self.flag_vc = True
-            self.rvc = RVC(
-                self.config.pitch,
-                self.config.pth_path,
-                self.config.index_path,
-                self.config.index_rate,
-                self.config.n_cpu,
-                inp_q,
-                opt_q,
-                device,
-            )
-            self.config.samplerate = self.rvc.tgt_sr
-            self.config.crossfade_time = min(
-                self.config.crossfade_time, self.config.block_time
-            )
-            self.block_frame = int(self.config.block_time * self.config.samplerate)
-            self.crossfade_frame = int(
-                self.config.crossfade_time * self.config.samplerate
-            )
-            self.sola_search_frame = int(0.01 * self.config.samplerate)
-            self.extra_frame = int(self.config.extra_time * self.config.samplerate)
-            self.zc = self.rvc.tgt_sr // 100
-            self.input_wav: np.ndarray = np.zeros(
-                int(
-                    np.ceil(
-                        (
-                            self.extra_frame
-                            + self.crossfade_frame
-                            + self.sola_search_frame
-                            + self.block_frame
-                        )
-                        / self.zc
-                    )
-                    * self.zc
-                ),
-                dtype="float32",
-            )
-            self.output_wav_cache: torch.Tensor = torch.zeros(
-                int(
-                    np.ceil(
-                        (
-                            self.extra_frame
-                            + self.crossfade_frame
-                            + self.sola_search_frame
-                            + self.block_frame
-                        )
-                        / self.zc
-                    )
-                    * self.zc
-                ),
-                device=device,
-                dtype=torch.float32,
-            )
-            self.pitch: np.ndarray = np.zeros(
-                self.input_wav.shape[0] // self.zc,
-                dtype="int32",
-            )
-            self.pitchf: np.ndarray = np.zeros(
-                self.input_wav.shape[0] // self.zc,
-                dtype="float64",
-            )
-            self.output_wav: torch.Tensor = torch.zeros(
-                self.block_frame, device=device, dtype=torch.float32
-            )
-            self.sola_buffer: torch.Tensor = torch.zeros(
-                self.crossfade_frame, device=device, dtype=torch.float32
-            )
-            self.fade_in_window: torch.Tensor = torch.linspace(
-                0.0, 1.0, steps=self.crossfade_frame, device=device, dtype=torch.float32
-            )
-            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
-            ).to(device)
-            thread_vc = threading.Thread(target=self.soundinput)
-            thread_vc.start()
-
-        def soundinput(self):
-            """
-            接受音频输入
-            """
-            channels = 1 if sys.platform == "darwin" else 2
-            with sd.Stream(
-                channels=channels,
-                callback=self.audio_callback,
-                blocksize=self.block_frame,
-                samplerate=self.config.samplerate,
-                dtype="float32",
-            ):
-                while self.flag_vc:
-                    time.sleep(self.config.block_time)
-                    print("Audio block passed.")
-            print("ENDing VC")
-
-        def audio_callback(
-            self, indata: np.ndarray, outdata: np.ndarray, frames, times, status
-        ):
-            """
-            音频处理
-            """
-            start_time = time.perf_counter()
-            indata = librosa.to_mono(indata.T)
-            if self.config.I_noise_reduce:
-                indata[:] = nr.reduce_noise(y=indata, sr=self.config.samplerate)
-            """noise gate"""
-            frame_length = 2048
-            hop_length = 1024
-            rms = librosa.feature.rms(
-                y=indata, frame_length=frame_length, hop_length=hop_length
-            )
-            if self.config.threhold > -60:
-                db_threhold = (
-                    librosa.amplitude_to_db(rms, ref=1.0)[0] < self.config.threhold
-                )
-                for i in range(db_threhold.shape[0]):
-                    if db_threhold[i]:
-                        indata[i * hop_length : (i + 1) * hop_length] = 0
-            self.input_wav[:] = np.append(self.input_wav[self.block_frame :], indata)
-            # infer
-            inp = torch.from_numpy(self.input_wav).to(device)
-            ##0
-            res1 = self.resampler(inp)
-            ###55%
-            rate1 = self.block_frame / (
-                self.extra_frame
-                + self.crossfade_frame
-                + self.sola_search_frame
-                + self.block_frame
-            )
-            rate2 = (
-                self.crossfade_frame + self.sola_search_frame + self.block_frame
-            ) / (
-                self.extra_frame
-                + self.crossfade_frame
-                + self.sola_search_frame
-                + self.block_frame
-            )
-            res2 = self.rvc.infer(
-                res1,
-                res1[-self.block_frame :].cpu().numpy(),
-                rate1,
-                rate2,
-                self.pitch,
-                self.pitchf,
-                self.config.f0method,
-            )
-            self.output_wav_cache[-res2.shape[0] :] = res2
-            infer_wav = self.output_wav_cache[
-                -self.crossfade_frame - self.sola_search_frame - self.block_frame :
-            ]
-            # SOLA algorithm from https://github.com/yxlllc/DDSP-SVC
-            cor_nom = F.conv1d(
-                infer_wav[None, None, : self.crossfade_frame + self.sola_search_frame],
-                self.sola_buffer[None, None, :],
-            )
-            cor_den = torch.sqrt(
-                F.conv1d(
-                    infer_wav[
-                        None, None, : self.crossfade_frame + self.sola_search_frame
-                    ]
-                    ** 2,
-                    torch.ones(1, 1, self.crossfade_frame, device=device),
-                )
-                + 1e-8
-            )
-            if sys.platform == "darwin":
-                _, sola_offset = torch.max(cor_nom[0, 0] / cor_den[0, 0])
-                sola_offset = sola_offset.item()
-            else:
-                sola_offset = torch.argmax(cor_nom[0, 0] / cor_den[0, 0])
-            print("sola offset: " + str(int(sola_offset)))
-            self.output_wav[:] = infer_wav[sola_offset : sola_offset + self.block_frame]
-            self.output_wav[: self.crossfade_frame] *= self.fade_in_window
-            self.output_wav[: self.crossfade_frame] += self.sola_buffer[:]
-            # crossfade
-            if sola_offset < self.sola_search_frame:
-                self.sola_buffer[:] = (
-                    infer_wav[
-                        -self.sola_search_frame
-                        - self.crossfade_frame
-                        + sola_offset : -self.sola_search_frame
-                        + sola_offset
-                    ]
-                    * self.fade_out_window
-                )
-            else:
-                self.sola_buffer[:] = (
-                    infer_wav[-self.crossfade_frame :] * self.fade_out_window
-                )
-            if self.config.O_noise_reduce:
-                if sys.platform == "darwin":
-                    noise_reduced_signal = nr.reduce_noise(
-                        y=self.output_wav[:].cpu().numpy(), sr=self.config.samplerate
-                    )
-                    outdata[:] = noise_reduced_signal[:, np.newaxis]
-                else:
-                    outdata[:] = np.tile(
-                        nr.reduce_noise(
-                            y=self.output_wav[:].cpu().numpy(),
-                            sr=self.config.samplerate,
-                        ),
-                        (2, 1),
-                    ).T
-            else:
-                if sys.platform == "darwin":
-                    outdata[:] = self.output_wav[:].cpu().numpy()[:, np.newaxis]
-                else:
-                    outdata[:] = self.output_wav[:].repeat(2, 1).t().cpu().numpy()
-            total_time = time.perf_counter() - start_time
-            self.window["infer_time"].update(int(total_time * 1000))
-            print("infer time:" + str(total_time))
-
-        def get_devices(self, update: bool = True):
-            """获取设备列表"""
-            if update:
-                sd._terminate()
-                sd._initialize()
-            devices = sd.query_devices()
-            hostapis = sd.query_hostapis()
-            for hostapi in hostapis:
-                for device_idx in hostapi["devices"]:
-                    devices[device_idx]["hostapi_name"] = hostapi["name"]
-            input_devices = [
-                f"{d['name']} ({d['hostapi_name']})"
-                for d in devices
-                if d["max_input_channels"] > 0
-            ]
-            output_devices = [
-                f"{d['name']} ({d['hostapi_name']})"
-                for d in devices
-                if d["max_output_channels"] > 0
-            ]
-            input_devices_indices = [
-                d["index"] if "index" in d else d["name"]
-                for d in devices
-                if d["max_input_channels"] > 0
-            ]
-            output_devices_indices = [
-                d["index"] if "index" in d else d["name"]
-                for d in devices
-                if d["max_output_channels"] > 0
-            ]
-            return (
-                input_devices,
-                output_devices,
-                input_devices_indices,
-                output_devices_indices,
-            )
-
-        def set_devices(self, input_device, output_device):
-            """设置输出设备"""
-            (
-                input_devices,
-                output_devices,
-                input_device_indices,
-                output_device_indices,
-            ) = self.get_devices()
-            sd.default.device[0] = input_device_indices[
-                input_devices.index(input_device)
-            ]
-            sd.default.device[1] = output_device_indices[
-                output_devices.index(output_device)
-            ]
-            print("input device:" + str(sd.default.device[0]) + ":" + str(input_device))
-            print(
-                "output device:" + str(sd.default.device[1]) + ":" + str(output_device)
-            )
-
-    gui = GUI()