mirror of
https://github.com/Mangio621/Mangio-RVC-Fork.git
synced 2025-12-16 03:27:41 +01:00
sqldatastorage to csv
This commit is contained in:
alexlnkp
93
infer-web.py
93
infer-web.py
@@ -38,7 +38,7 @@ from lib.infer_pack.models import (
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from lib.infer_pack.models_onnx import SynthesizerTrnMsNSFsidM
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from infer_uvr5 import _audio_pre_, _audio_pre_new
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from MDXNet import MDXNetDereverb
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from my_utils import load_audio
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from my_utils import load_audio, CSVutil
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from train.process_ckpt import change_info, extract_small_model, merge, show_info
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from vc_infer_pipeline import VC
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from sklearn.cluster import MiniBatchKMeans
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@@ -56,63 +56,26 @@ os.environ["TEMP"] = tmp
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warnings.filterwarnings("ignore")
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torch.manual_seed(114514)
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import sqlite3
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def clear_sql(signal, frame):
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cursor.execute("DELETE FROM formant_data")
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cursor.execute("DELETE FROM stop_train")
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conn.commit()
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conn.close()
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print("Clearing SQL database...")
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sys.exit(0)
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if sys.platform == 'win32':
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signal.signal(signal.SIGBREAK, clear_sql)
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signal.signal(signal.SIGINT, clear_sql)
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signal.signal(signal.SIGTERM, clear_sql)
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logging.getLogger("numba").setLevel(logging.WARNING)
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conn = sqlite3.connect('TEMP/db:cachedb?mode=memory&cache=shared', check_same_thread=False)
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cursor = conn.cursor()
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import csv
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS formant_data (
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Quefrency FLOAT,
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Timbre FLOAT,
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DoFormant INTEGER
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)
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""")
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS stop_train (
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stop BOOL
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)
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""")
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if not os.path.isdir('csvdb/'):
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os.makedirs('csvdb')
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frmnt, stp = open("csvdb/formanting.csv", 'w'), open("csvdb/stop.csv", 'w')
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frmnt.close()
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stp.close()
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global DoFormant, Quefrency, Timbre
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try:
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cursor.execute("SELECT Quefrency, Timbre, DoFormant FROM formant_data")
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row = cursor.fetchone()
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if row is not None:
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Quefrency, Timbre, DoFormant = row
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else:
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raise ValueError("No data")
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except (ValueError, TypeError):
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Quefrency = 8.0
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Timbre = 1.2
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DoFormant = False
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cursor.execute("DELETE FROM formant_data")
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cursor.execute("DELETE FROM stop_train")
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cursor.execute("INSERT INTO formant_data (Quefrency, Timbre, DoFormant) VALUES (?, ?, ?)", (Quefrency, Timbre, 0))
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conn.commit()
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DoFormant, Quefrency, Timbre = CSVutil('csvdb/formanting.csv', 'r', 'formanting')
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DoFormant = (
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lambda DoFormant: True if DoFormant.lower() == 'true' else (False if DoFormant.lower() == 'false' else DoFormant)
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)(DoFormant)
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except (ValueError, TypeError, IndexError):
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DoFormant, Quefrency, Timbre = False, 1.0, 1.0
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CSVutil('csvdb/formanting.csv', 'w+', 'formanting', DoFormant, Quefrency, Timbre)
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config = Config()
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i18n = I18nAuto()
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@@ -653,9 +616,7 @@ def formant_enabled(cbox, qfrency, tmbre, frmntapply, formantpreset, formant_ref
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if (cbox):
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DoFormant = True
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cursor.execute("DELETE FROM formant_data")
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cursor.execute("INSERT INTO formant_data (Quefrency, Timbre, DoFormant) VALUES (?, ?, ?)", (qfrency, tmbre, 1))
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conn.commit()
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CSVutil('csvdb/formanting.csv', 'w+', 'formanting', DoFormant, qfrency, tmbre)
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#print(f"is checked? - {cbox}\ngot {DoFormant}")
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@@ -672,9 +633,7 @@ def formant_enabled(cbox, qfrency, tmbre, frmntapply, formantpreset, formant_ref
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else:
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DoFormant = False
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cursor.execute("DELETE FROM formant_data")
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cursor.execute("INSERT INTO formant_data (Quefrency, Timbre, DoFormant) VALUES (?, ?, ?)", (qfrency, tmbre, int(DoFormant)))
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conn.commit()
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CSVutil('csvdb/formanting.csv', 'w+', 'formanting', DoFormant, qfrency, tmbre)
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#print(f"is checked? - {cbox}\ngot {DoFormant}")
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return (
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@@ -692,9 +651,7 @@ def formant_apply(qfrency, tmbre):
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Quefrency = qfrency
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Timbre = tmbre
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DoFormant = True
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cursor.execute("DELETE FROM formant_data")
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cursor.execute("INSERT INTO formant_data (Quefrency, Timbre, DoFormant) VALUES (?, ?, ?)", (qfrency, tmbre, 1))
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conn.commit()
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CSVutil('csvdb/formanting.csv', 'w+', 'formanting', DoFormant, qfrency, tmbre)
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return ({"value": Quefrency, "__type__": "update"}, {"value": Timbre, "__type__": "update"})
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@@ -993,8 +950,7 @@ def click_train(
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if_save_every_weights18,
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version19,
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):
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cursor.execute("DELETE FROM stop_train")
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conn.commit()
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CSVutil('csvdb/stop.csv', 'w+', 'formanting', False)
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# 生成filelist
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exp_dir = "%s/logs/%s" % (now_dir, exp_dir1)
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os.makedirs(exp_dir, exist_ok=True)
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@@ -1576,18 +1532,14 @@ def cli_infer(com):
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DoFormant = False
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Quefrency = 0.0
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Timbre = 0.0
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cursor.execute("DELETE FROM formant_data")
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cursor.execute("INSERT INTO formant_data (Quefrency, Timbre, DoFormant) VALUES (?, ?, ?)", (Quefrency, Timbre, 0))
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conn.commit()
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CSVutil('csvdb/formanting.csv', 'w+', 'formanting', DoFormant, Quefrency, Timbre)
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else:
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DoFormant = True
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Quefrency = float(com[15])
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Timbre = float(com[16])
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cursor.execute("DELETE FROM formant_data")
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cursor.execute("INSERT INTO formant_data (Quefrency, Timbre, DoFormant) VALUES (?, ?, ?)", (Quefrency, Timbre, 1))
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conn.commit()
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CSVutil('csvdb/formanting.csv', 'w+', 'formanting', DoFormant, Quefrency, Timbre)
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print("Mangio-RVC-Fork Infer-CLI: Starting the inference...")
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vc_data = get_vc(model_name, protection_amnt, protect1)
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print(vc_data)
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@@ -1945,8 +1897,7 @@ def match_index(sid0):
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def stoptraining(mim):
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if int(mim) == 1:
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cursor.execute("INSERT INTO stop_train (stop) VALUES (?)", (True,))
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conn.commit()
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CSVutil('csvdb/stop.csv', 'w+', 'stop', 'True')
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#p.terminate()
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#p.kill()
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try:
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42
my_utils.py
42
my_utils.py
@@ -8,7 +8,7 @@ import sys
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import random
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import sqlite3
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import csv
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platform_stft_mapping = {
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'linux': 'stftpitchshift',
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@@ -19,12 +19,34 @@ platform_stft_mapping = {
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stft = platform_stft_mapping.get(sys.platform)
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# praatEXE = join('.',os.path.abspath(os.getcwd()) + r"\Praat.exe")
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def CSVutil(file, rw, type, *args):
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if type == 'formanting':
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if rw == 'r':
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with open(file) as fileCSVread:
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csv_reader = list(csv.reader(fileCSVread))
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return (
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csv_reader[0][0], csv_reader[0][1], csv_reader[0][2]
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) if csv_reader is not None else (lambda: exec('raise ValueError("No data")'))()
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else:
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if args:
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doformnt = args[0]
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else:
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doformnt = False
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qfr = args[1] if len(args) > 1 else 1.0
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tmb = args[2] if len(args) > 2 else 1.0
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with open(file, rw, newline='') as fileCSVwrite:
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csv_writer = csv.writer(fileCSVwrite, delimiter=',')
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csv_writer.writerow([doformnt, qfr, tmb])
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elif type == 'stop':
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stop = args[0] if args else False
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with open(file, rw, newline='') as fileCSVwrite:
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csv_writer = csv.writer(fileCSVwrite, delimiter=',')
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csv_writer.writerow([stop])
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def load_audio(file, sr, DoFormant, Quefrency, Timbre):
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converted = False
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DoFormant, Quefrency, Timbre = CSVutil('csvdb/formanting.csv', 'r', 'formanting')
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try:
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conn = sqlite3.connect('TEMP/db:cachedb?mode=memory&cache=shared', check_same_thread=False)
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cursor = conn.cursor()
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# https://github.com/openai/whisper/blob/main/whisper/audio.py#L26
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# This launches a subprocess to decode audio while down-mixing and resampling as necessary.
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# Requires the ffmpeg CLI and `ffmpeg-python` package to be installed.
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@@ -32,10 +54,10 @@ def load_audio(file, sr, DoFormant, Quefrency, Timbre):
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file.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
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) # 防止小白拷路径头尾带了空格和"和回车
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file_formanted = file.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
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cursor.execute("SELECT Quefrency, Timbre, DoFormant FROM formant_data")
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Quefrency, Timbre, DoFormant = cursor.fetchone()
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#print(f"dofor={bool(DoFormant)} timbr={Timbre} quef={Quefrency}\n")
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if bool(DoFormant):
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if (lambda DoFormant: True if DoFormant.lower() == 'true' else (False if DoFormant.lower() == 'false' else DoFormant))(DoFormant):
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numerator = round(random.uniform(1,4), 4)
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# os.system(f"stftpitchshift -i {file} -q {Quefrency} -t {Timbre} -o {file_formanted}")
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# print('stftpitchshift -i "%s" -p 1.0 --rms -w 128 -v 8 -q %s -t %s -o "%s"' % (file, Quefrency, Timbre, file_formanted))
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@@ -89,7 +111,8 @@ def load_audio(file, sr, DoFormant, Quefrency, Timbre):
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)
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)
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try: os.remove("%sFORMANTED_%s.wav" % (file_formanted, str(numerator)))
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except Exception: pass; print("couldn't remove formanted type of file")
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else:
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out, _ = (
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@@ -102,14 +125,9 @@ def load_audio(file, sr, DoFormant, Quefrency, Timbre):
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except Exception as e:
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raise RuntimeError(f"Failed to load audio: {e}")
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if DoFormant:
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try: os.remove("%sFORMANTED_%s.wav" % (file_formanted, str(numerator)))
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except Exception: pass; print("couldn't remove formanted type of file")
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if converted:
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try: os.remove(file_formanted)
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except Exception: pass; print("couldn't remove converted type of file")
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converted = False
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conn.close()
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return np.frombuffer(out, np.float32).flatten()
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204
requirements.txt
204
requirements.txt
@@ -1,48 +1,164 @@
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joblib>=1.1.0
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absl-py==1.4.0
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aiofiles==23.1.0
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aiohttp==3.8.3
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aiosignal==1.3.1
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altair==4.2.0
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antlr4-python3-runtime==4.8
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anyio==3.6.2
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appdirs==1.4.4
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asttokens==2.2.1
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async-timeout==4.0.2
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attrs==21.4.0
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audioread==2.1.9
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backcall==0.2.0
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beautifulsoup4==4.12.2
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bitarray==2.5.1
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bs4==0.0.1
|
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cachetools==5.3.0
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certifi==2022.12.7
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cffi==1.15.1
|
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charset-normalizer==2.1.1
|
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click==8.1.3
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colorama==0.4.6
|
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coloredlogs==15.0.1
|
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contourpy==1.0.6
|
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cycler==0.11.0
|
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Cython==0.29.30
|
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decorator==5.1.1
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edge-tts==6.1.5
|
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elevenlabs==0.2.21
|
||||
entrypoints==0.4
|
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executing==1.2.0
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fairseq==0.12.2
|
||||
faiss-cpu==1.7.2
|
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fastapi==0.88.0
|
||||
ffmpeg-python==0.2.0
|
||||
ffmpy==0.0.3
|
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filelock==3.10.0
|
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flatbuffers==23.5.9
|
||||
fonttools==4.38.0
|
||||
frozenlist==1.3.3
|
||||
fsspec==2022.11.0
|
||||
future==0.18.2
|
||||
google-auth==2.16.2
|
||||
google-auth-oauthlib==1.0.0
|
||||
gradio==3.34.0
|
||||
gradio_client==0.2.10
|
||||
grpcio==1.51.3
|
||||
gspread==5.10.0
|
||||
gTTS==2.3.2
|
||||
h11==0.12.0
|
||||
httpcore==0.15.0
|
||||
httpx==0.23.0
|
||||
huggingface-hub==0.16.4
|
||||
humanfriendly==10.0
|
||||
hydra-core==1.0.7
|
||||
idna==3.4
|
||||
importlib-metadata==6.0.0
|
||||
importlib-resources==6.0.0
|
||||
ipython==8.14.0
|
||||
jedi==0.18.2
|
||||
Jinja2==3.1.2
|
||||
joblib==1.2.0
|
||||
json5==0.9.14
|
||||
jsonschema==4.17.3
|
||||
kiwisolver==1.4.4
|
||||
librosa==0.9.1
|
||||
linkify-it-py==1.0.3
|
||||
llvmlite==0.39.1
|
||||
lxml==4.9.2
|
||||
Markdown==3.4.3
|
||||
markdown-it-py==2.2.0
|
||||
MarkupSafe==2.1.1
|
||||
matplotlib==3.6.2
|
||||
matplotlib-inline==0.1.6
|
||||
mdit-py-plugins==0.3.3
|
||||
mdurl==0.1.1
|
||||
mega.py==1.0.8
|
||||
mpmath==1.2.1
|
||||
multidict==6.0.3
|
||||
networkx==2.8.8
|
||||
noisereduce==2.0.1
|
||||
numba==0.56.4
|
||||
numpy==1.23.5
|
||||
oauthlib==3.2.2
|
||||
omegaconf==2.0.6
|
||||
onnx==1.14.0
|
||||
onnxconverter-common==1.13.0
|
||||
onnxruntime-gpu==1.14.1
|
||||
orjson==3.8.3
|
||||
packaging==22.0
|
||||
pandas==1.5.2
|
||||
parso==0.8.3
|
||||
pathlib==1.0.1
|
||||
pickleshare==0.7.5
|
||||
Pillow==9.3.0
|
||||
pooch==1.6.0
|
||||
portalocker==2.6.0
|
||||
praat-parselmouth==0.4.2
|
||||
praatio==6.0.1
|
||||
prompt-toolkit==3.0.39
|
||||
protobuf==4.22.1
|
||||
pure-eval==0.2.2
|
||||
pyasn1==0.4.8
|
||||
pyasn1-modules==0.2.8
|
||||
pycparser==2.21
|
||||
pycryptodome==3.16.0
|
||||
pydantic==1.10.2
|
||||
pydub==0.25.1
|
||||
Pygments==2.15.1
|
||||
pyparsing==3.0.9
|
||||
pyreadline3==3.4.1
|
||||
pyrsistent==0.19.2
|
||||
PySimpleGUI==4.60.4
|
||||
python-dateutil==2.8.2
|
||||
python-multipart==0.0.5
|
||||
pytz==2022.6
|
||||
pywin32==305
|
||||
pyworld==0.3.2
|
||||
PyYAML==6.0
|
||||
regex==2022.10.31
|
||||
requests==2.28.1
|
||||
requests-oauthlib==1.3.1
|
||||
resampy==0.4.2
|
||||
rfc3986==1.5.0
|
||||
rich==13.3.5
|
||||
rsa==4.9
|
||||
sacrebleu==2.3.1
|
||||
scikit-learn==1.2.0
|
||||
scipy==1.9.3
|
||||
librosa==0.9.1
|
||||
llvmlite==0.39.0
|
||||
fairseq==0.12.2
|
||||
faiss-cpu==1.7.3
|
||||
gradio==3.34.0
|
||||
Cython
|
||||
pydub>=0.25.1
|
||||
soundfile>=0.12.1
|
||||
ffmpeg-python>=0.2.0
|
||||
tensorboardX
|
||||
Jinja2>=3.1.2
|
||||
json5
|
||||
Markdown
|
||||
matplotlib>=3.7.0
|
||||
matplotlib-inline>=0.1.3
|
||||
praat-parselmouth>=0.4.2
|
||||
Pillow>=9.1.1
|
||||
resampy>=0.4.2
|
||||
scikit-learn
|
||||
tensorboard
|
||||
tensorboard-data-server
|
||||
tensorboard-plugin-wit
|
||||
torchgen>=0.0.1
|
||||
torch==2.0.0
|
||||
tqdm>=4.63.1
|
||||
tornado>=6.1
|
||||
Werkzeug>=2.2.3
|
||||
uc-micro-py>=1.0.1
|
||||
sympy>=1.11.1
|
||||
tabulate>=0.8.10
|
||||
PyYAML>=6.0
|
||||
pyasn1>=0.4.8
|
||||
pyasn1-modules>=0.2.8
|
||||
fsspec>=2022.11.0
|
||||
absl-py>=1.2.0
|
||||
audioread
|
||||
uvicorn>=0.21.1
|
||||
colorama>=0.4.5
|
||||
pyworld>=0.3.2
|
||||
httpx==0.23.0
|
||||
#onnxruntime-gpu
|
||||
torchcrepe==0.0.20
|
||||
fastapi==0.88
|
||||
semantic-version==2.10.0
|
||||
six==1.16.0
|
||||
skl2onnx==1.14.1
|
||||
sniffio==1.3.0
|
||||
sounddevice==0.4.6
|
||||
soundfile==0.11.0
|
||||
soupsieve==2.4.1
|
||||
stack-data==0.6.2
|
||||
starlette==0.22.0
|
||||
stftpitchshift==1.5.1
|
||||
sympy==1.11.1
|
||||
tabulate==0.9.0
|
||||
tenacity==5.1.5
|
||||
tensorboard==2.13.0
|
||||
tensorboard-data-server==0.7.0
|
||||
tensorboard-plugin-wit==1.8.1
|
||||
tensorboardX==2.6.1
|
||||
threadpoolctl==3.1.0
|
||||
toolz==0.12.0
|
||||
torch @ https://download.pytorch.org/whl/cu118/torch-2.0.0%2Bcu118-cp39-cp39-win_amd64.whl
|
||||
torchaudio==2.0.1
|
||||
torchcrepe==0.0.19
|
||||
torchgen==0.0.1
|
||||
tornado==6.3.2
|
||||
tqdm==4.64.1
|
||||
traitlets==5.9.0
|
||||
typing_extensions==4.4.0
|
||||
uc-micro-py==1.0.1
|
||||
urllib3==1.26.13
|
||||
uvicorn==0.20.0
|
||||
wcwidth==0.2.6
|
||||
websockets==10.4
|
||||
Werkzeug==2.2.3
|
||||
yarl==1.8.2
|
||||
zipp==3.15.0
|
||||
|
||||
@@ -33,7 +33,7 @@ from data_utils import (
|
||||
DistributedBucketSampler,
|
||||
)
|
||||
|
||||
import sqlite3
|
||||
import csv
|
||||
|
||||
if hps.version == "v1":
|
||||
from lib.infer_pack.models import (
|
||||
@@ -354,9 +354,6 @@ def train_and_evaluate(
|
||||
# Run steps
|
||||
epoch_recorder = EpochRecorder()
|
||||
|
||||
conn = sqlite3.connect('TEMP/db:cachedb?mode=memory&cache=shared', check_same_thread=False)
|
||||
cursor = conn.cursor()
|
||||
|
||||
for batch_idx, info in data_iterator:
|
||||
# Data
|
||||
## Unpack
|
||||
@@ -576,8 +573,15 @@ def train_and_evaluate(
|
||||
)
|
||||
)
|
||||
|
||||
cursor.execute("SELECT stop FROM stop_train LIMIT 1")
|
||||
if bool(cursor.fetchone()) == True:
|
||||
try:
|
||||
with open('csvdb/stop.csv') as CSVStop:
|
||||
csv_reader = list(csv.reader(CSVStop))
|
||||
stopbtn = csv_reader[0][0] if csv_reader is not None else (lambda: exec('raise ValueError("No data")'))()
|
||||
stopbtn = (lambda stopbtn: True if stopbtn.lower() == 'true' else (False if stopbtn.lower() == 'false' else stopbtn))(stopbtn)
|
||||
except (ValueError, TypeError, IndexError):
|
||||
stopbtn = False
|
||||
|
||||
if stopbtn:
|
||||
logger.info("Stop Button was pressed. The program is closed.")
|
||||
if hasattr(net_g, "module"):
|
||||
ckpt = net_g.module.state_dict()
|
||||
@@ -598,9 +602,9 @@ def train_and_evaluate(
|
||||
)
|
||||
)
|
||||
sleep(1)
|
||||
cursor.execute("DELETE FROM stop_train")
|
||||
conn.commit()
|
||||
conn.close()
|
||||
with open('csvdb/stop.csv', 'w+', newline='') as STOPCSVwrite:
|
||||
csv_writer = csv.writer(STOPCSVwrite, delimiter=',')
|
||||
csv_writer.writerow(['False'])
|
||||
os._exit(2333333)
|
||||
|
||||
if rank == 0:
|
||||
@@ -621,9 +625,9 @@ def train_and_evaluate(
|
||||
)
|
||||
)
|
||||
sleep(1)
|
||||
cursor.execute("DELETE FROM stop_train")
|
||||
conn.commit()
|
||||
conn.close()
|
||||
with open('csvdb/stop.csv', 'w+', newline='') as STOPCSVwrite:
|
||||
csv_writer = csv.writer(STOPCSVwrite, delimiter=',')
|
||||
csv_writer.writerow(['False'])
|
||||
os._exit(2333333)
|
||||
|
||||
|
||||
|
||||
@@ -18,8 +18,8 @@ from my_utils import load_audio
|
||||
import tqdm
|
||||
|
||||
DoFormant = False
|
||||
Quefrency = 0.0
|
||||
Timbre = 0.0
|
||||
Quefrency = 1.0
|
||||
Timbre = 1.0
|
||||
|
||||
mutex = multiprocessing.Lock()
|
||||
f = open("%s/preprocess.log" % exp_dir, "a+")
|
||||
@@ -45,7 +45,7 @@ class PreProcess:
|
||||
)
|
||||
self.sr = sr
|
||||
self.bh, self.ah = signal.butter(N=5, Wn=48, btype="high", fs=self.sr)
|
||||
self.per = 3.0
|
||||
self.per = 3.7
|
||||
self.overlap = 0.3
|
||||
self.tail = self.per + self.overlap
|
||||
self.max = 0.9
|
||||
|
||||
Reference in New Issue
Block a user