├── README.md
├── UVR.py
├── __version__.py
├── demucs
├── __init__.py
├── __main__.py
├── apply.py
├── demucs.py
├── filtering.py
├── hdemucs.py
├── htdemucs.py
├── model.py
├── model_v2.py
├── pretrained.py
├── repo.py
├── spec.py
├── states.py
├── tasnet.py
├── tasnet_v2.py
├── transformer.py
└── utils.py
├── gui_data
├── app_size_values.py
├── change_log.txt
├── complete_chime.wav
├── constants.py
├── error_handling.py
├── fail_chime.wav
├── fonts
│ ├── Montserrat
│ │ └── Montserrat.ttf
│ ├── centurygothic
│ │ └── GOTHIC.ttf
│ └── other
│ │ └── own_font_goes_here.txt
├── img
│ ├── File.png
│ ├── GUI-Icon.ico
│ ├── GUI-Icon.png
│ ├── UVR-banner.png
│ ├── UVR.icns
│ ├── UVR_v5.6.png
│ ├── clear.png
│ ├── copy.png
│ ├── credits.png
│ ├── donate.png
│ ├── down.png
│ ├── download.png
│ ├── help.png
│ ├── key.png
│ ├── left.png
│ ├── pause.png
│ ├── play.png
│ ├── right.png
│ ├── splash.bmp
│ ├── stop.png
│ ├── stop_player.png
│ └── up.png
├── model_manual_download.json
├── old_data_check.py
├── own_font.json
├── saved_ensembles
│ └── saved_ensembles_go_here.txt
├── saved_settings
│ └── saved_settings_go_here.txt
├── sv_ttk
│ ├── __init__.py
│ ├── sun-valley.tcl
│ ├── sun-valley_darwin.tcl
│ └── theme
│ │ ├── dark.tcl
│ │ └── dark
│ │ ├── arrow-down.png
│ │ ├── arrow-right.png
│ │ ├── arrow-up.png
│ │ ├── button-accent-disabled.png
│ │ ├── button-accent-hover.png
│ │ ├── button-accent-pressed.png
│ │ ├── button-accent-rest.png
│ │ ├── button-close-hover.png
│ │ ├── button-close-pressed.png
│ │ ├── button-disabled.png
│ │ ├── button-hover.png
│ │ ├── button-pressed.png
│ │ ├── button-rest.png
│ │ ├── button-titlebar-hover.png
│ │ ├── button-titlebar-pressed.png
│ │ ├── card.png
│ │ ├── check-disabled.png
│ │ ├── check-hover.png
│ │ ├── check-pressed.png
│ │ ├── check-rest.png
│ │ ├── check-tri-disabled.png
│ │ ├── check-tri-hover.png
│ │ ├── check-tri-pressed.png
│ │ ├── check-tri-rest.png
│ │ ├── check-unsel-disabled.png
│ │ ├── check-unsel-hover.png
│ │ ├── check-unsel-pressed.png
│ │ ├── check-unsel-rest.png
│ │ ├── combo-disabled.png
│ │ ├── empty.png
│ │ ├── entry-disabled.png
│ │ ├── entry-focus.png
│ │ ├── entry-hover.png
│ │ ├── entry-invalid.png
│ │ ├── entry-rest-combo.png
│ │ ├── entry-rest.png
│ │ ├── notebook-border.png
│ │ ├── notebook.png
│ │ ├── progress-pbar-hor.png
│ │ ├── progress-pbar-vert.png
│ │ ├── progress-trough-hor.png
│ │ ├── progress-trough-vert.png
│ │ ├── radio-disabled.png
│ │ ├── radio-hover.png
│ │ ├── radio-pressed.png
│ │ ├── radio-rest.png
│ │ ├── radio-unsel-disabled.png
│ │ ├── radio-unsel-hover.png
│ │ ├── radio-unsel-pressed.png
│ │ ├── radio-unsel-rest.png
│ │ ├── scale-thumb-disabled.png
│ │ ├── scale-thumb-hover.png
│ │ ├── scale-thumb-pressed.png
│ │ ├── scale-thumb-rest.png
│ │ ├── scale-trough-hor.png
│ │ ├── scale-trough-vert.png
│ │ ├── scroll-down.png
│ │ ├── scroll-hor-thumb.png
│ │ ├── scroll-hor-trough.png
│ │ ├── scroll-left.png
│ │ ├── scroll-right.png
│ │ ├── scroll-up.png
│ │ ├── scroll-vert-thumb.png
│ │ ├── scroll-vert-trough.png
│ │ ├── separator.png
│ │ ├── sizegrip.png
│ │ ├── switch-off-disabled.png
│ │ ├── switch-off-hover.png
│ │ ├── switch-off-pressed.png
│ │ ├── switch-off-rest.png
│ │ ├── switch-on-disabled.png
│ │ ├── switch-on-hover.png
│ │ ├── switch-on-pressed.png
│ │ ├── switch-on-rest.png
│ │ ├── tab-hover.png
│ │ ├── tab-rest.png
│ │ ├── tab-selected.png
│ │ ├── treeheading-hover.png
│ │ ├── treeheading-pressed.png
│ │ └── treeheading-rest.png
└── tkinterdnd2
│ ├── TkinterDnD.py
│ ├── __init__.py
│ └── tkdnd
│ ├── linux64
│ ├── libtkdnd2.9.2.so
│ ├── pkgIndex.tcl
│ ├── tkdnd.tcl
│ ├── tkdnd_compat.tcl
│ ├── tkdnd_generic.tcl
│ ├── tkdnd_macosx.tcl
│ ├── tkdnd_unix.tcl
│ ├── tkdnd_utils.tcl
│ └── tkdnd_windows.tcl
│ ├── osx64
│ ├── libtkdnd2.9.2.dylib
│ ├── pkgIndex.tcl
│ ├── tkdnd.tcl
│ ├── tkdnd_compat.tcl
│ ├── tkdnd_generic.tcl
│ ├── tkdnd_macosx.tcl
│ ├── tkdnd_unix.tcl
│ ├── tkdnd_utils.tcl
│ └── tkdnd_windows.tcl
│ ├── osx_arm
│ ├── libtkdnd2.9.3.dylib
│ ├── pkgIndex.tcl
│ ├── tkdnd.tcl
│ ├── tkdnd_compat.tcl
│ ├── tkdnd_generic.tcl
│ ├── tkdnd_macosx.tcl
│ ├── tkdnd_unix.tcl
│ ├── tkdnd_utils.tcl
│ └── tkdnd_windows.tcl
│ └── win64
│ ├── libtkdnd2.9.2.dll
│ ├── pkgIndex.tcl
│ ├── tkdnd.tcl
│ ├── tkdnd2.9.2.lib
│ ├── tkdnd_compat.tcl
│ ├── tkdnd_generic.tcl
│ ├── tkdnd_macosx.tcl
│ ├── tkdnd_unix.tcl
│ ├── tkdnd_utils.tcl
│ └── tkdnd_windows.tcl
├── install_packages.sh
├── lib_v5
├── mdxnet.py
├── mixer.ckpt
├── modules.py
├── pyrb.py
├── results.py
├── spec_utils.py
├── tfc_tdf_v3.py
└── vr_network
│ ├── __init__.py
│ ├── layers.py
│ ├── layers_new.py
│ ├── model_param_init.py
│ ├── modelparams
│ ├── 1band_sr16000_hl512.json
│ ├── 1band_sr32000_hl512.json
│ ├── 1band_sr33075_hl384.json
│ ├── 1band_sr44100_hl1024.json
│ ├── 1band_sr44100_hl256.json
│ ├── 1band_sr44100_hl512.json
│ ├── 1band_sr44100_hl512_cut.json
│ ├── 1band_sr44100_hl512_nf1024.json
│ ├── 2band_32000.json
│ ├── 2band_44100_lofi.json
│ ├── 2band_48000.json
│ ├── 3band_44100.json
│ ├── 3band_44100_mid.json
│ ├── 3band_44100_msb2.json
│ ├── 4band_44100.json
│ ├── 4band_44100_mid.json
│ ├── 4band_44100_msb.json
│ ├── 4band_44100_msb2.json
│ ├── 4band_44100_reverse.json
│ ├── 4band_44100_sw.json
│ ├── 4band_v2.json
│ ├── 4band_v2_sn.json
│ ├── 4band_v3.json
│ ├── 4band_v3_sn.json
│ └── ensemble.json
│ ├── nets.py
│ └── nets_new.py
├── models
├── Demucs_Models
│ ├── model_data
│ │ └── model_name_mapper.json
│ └── v3_v4_repo
│ │ └── demucs_models.txt
├── MDX_Net_Models
│ └── model_data
│ │ ├── mdx_c_configs
│ │ ├── model1.yaml
│ │ ├── model2.yaml
│ │ ├── model3.yaml
│ │ ├── modelA.yaml
│ │ ├── modelB.yaml
│ │ ├── model_2_stem_061321.yaml
│ │ ├── model_2_stem_full_band.yaml
│ │ ├── model_2_stem_full_band_2.yaml
│ │ ├── model_2_stem_full_band_3.yaml
│ │ ├── model_2_stem_full_band_4.yaml
│ │ ├── model_2_stem_full_band_8k.yaml
│ │ └── sndfx.yaml
│ │ ├── model_data.json
│ │ └── model_name_mapper.json
└── VR_Models
│ ├── UVR-DeNoise-Lite.pth
│ └── model_data
│ └── model_data.json
├── requirements.txt
└── separate.py
/__version__.py:
--------------------------------------------------------------------------------
1 | VERSION = 'v5.6.0'
2 | PATCH = 'UVR_Patch_9_29_23_1_39'
3 | PATCH_MAC = 'UVR_Patch_9_29_23_1_39'
4 | PATCH_LINUX = 'UVR_Patch_9_29_23_1_39'
5 |
--------------------------------------------------------------------------------
/demucs/__init__.py:
--------------------------------------------------------------------------------
1 | # Copyright (c) Facebook, Inc. and its affiliates.
2 | # All rights reserved.
3 | #
4 | # This source code is licensed under the license found in the
5 | # LICENSE file in the root directory of this source tree.
6 |
--------------------------------------------------------------------------------
/demucs/pretrained.py:
--------------------------------------------------------------------------------
1 | # Copyright (c) Facebook, Inc. and its affiliates.
2 | # All rights reserved.
3 | #
4 | # This source code is licensed under the license found in the
5 | # LICENSE file in the root directory of this source tree.
6 | """Loading pretrained models.
7 | """
8 |
9 | import logging
10 | from pathlib import Path
11 | import typing as tp
12 |
13 | #from dora.log import fatal
14 |
15 | import logging
16 |
17 | from diffq import DiffQuantizer
18 | import torch.hub
19 |
20 | from .model import Demucs
21 | from .tasnet_v2 import ConvTasNet
22 | from .utils import set_state
23 |
24 | from .hdemucs import HDemucs
25 | from .repo import RemoteRepo, LocalRepo, ModelOnlyRepo, BagOnlyRepo, AnyModelRepo, ModelLoadingError # noqa
26 |
27 | logger = logging.getLogger(__name__)
28 | ROOT_URL = "https://dl.fbaipublicfiles.com/demucs/mdx_final/"
29 | REMOTE_ROOT = Path(__file__).parent / 'remote'
30 |
31 | SOURCES = ["drums", "bass", "other", "vocals"]
32 |
33 |
34 | def demucs_unittest():
35 | model = HDemucs(channels=4, sources=SOURCES)
36 | return model
37 |
38 |
39 | def add_model_flags(parser):
40 | group = parser.add_mutually_exclusive_group(required=False)
41 | group.add_argument("-s", "--sig", help="Locally trained XP signature.")
42 | group.add_argument("-n", "--name", default="mdx_extra_q",
43 | help="Pretrained model name or signature. Default is mdx_extra_q.")
44 | parser.add_argument("--repo", type=Path,
45 | help="Folder containing all pre-trained models for use with -n.")
46 |
47 |
48 | def _parse_remote_files(remote_file_list) -> tp.Dict[str, str]:
49 | root: str = ''
50 | models: tp.Dict[str, str] = {}
51 | for line in remote_file_list.read_text().split('\n'):
52 | line = line.strip()
53 | if line.startswith('#'):
54 | continue
55 | elif line.startswith('root:'):
56 | root = line.split(':', 1)[1].strip()
57 | else:
58 | sig = line.split('-', 1)[0]
59 | assert sig not in models
60 | models[sig] = ROOT_URL + root + line
61 | return models
62 |
63 | def get_model(name: str,
64 | repo: tp.Optional[Path] = None):
65 | """`name` must be a bag of models name or a pretrained signature
66 | from the remote AWS model repo or the specified local repo if `repo` is not None.
67 | """
68 | if name == 'demucs_unittest':
69 | return demucs_unittest()
70 | model_repo: ModelOnlyRepo
71 | if repo is None:
72 | models = _parse_remote_files(REMOTE_ROOT / 'files.txt')
73 | model_repo = RemoteRepo(models)
74 | bag_repo = BagOnlyRepo(REMOTE_ROOT, model_repo)
75 | else:
76 | if not repo.is_dir():
77 | fatal(f"{repo} must exist and be a directory.")
78 | model_repo = LocalRepo(repo)
79 | bag_repo = BagOnlyRepo(repo, model_repo)
80 | any_repo = AnyModelRepo(model_repo, bag_repo)
81 | model = any_repo.get_model(name)
82 | model.eval()
83 | return model
84 |
85 | def get_model_from_args(args):
86 | """
87 | Load local model package or pre-trained model.
88 | """
89 | return get_model(name=args.name, repo=args.repo)
90 |
91 | logger = logging.getLogger(__name__)
92 | ROOT = "https://dl.fbaipublicfiles.com/demucs/v3.0/"
93 |
94 | PRETRAINED_MODELS = {
95 | 'demucs': 'e07c671f',
96 | 'demucs48_hq': '28a1282c',
97 | 'demucs_extra': '3646af93',
98 | 'demucs_quantized': '07afea75',
99 | 'tasnet': 'beb46fac',
100 | 'tasnet_extra': 'df3777b2',
101 | 'demucs_unittest': '09ebc15f',
102 | }
103 |
104 | SOURCES = ["drums", "bass", "other", "vocals"]
105 |
106 |
107 | def get_url(name):
108 | sig = PRETRAINED_MODELS[name]
109 | return ROOT + name + "-" + sig[:8] + ".th"
110 |
111 | def is_pretrained(name):
112 | return name in PRETRAINED_MODELS
113 |
114 |
115 | def load_pretrained(name):
116 | if name == "demucs":
117 | return demucs(pretrained=True)
118 | elif name == "demucs48_hq":
119 | return demucs(pretrained=True, hq=True, channels=48)
120 | elif name == "demucs_extra":
121 | return demucs(pretrained=True, extra=True)
122 | elif name == "demucs_quantized":
123 | return demucs(pretrained=True, quantized=True)
124 | elif name == "demucs_unittest":
125 | return demucs_unittest(pretrained=True)
126 | elif name == "tasnet":
127 | return tasnet(pretrained=True)
128 | elif name == "tasnet_extra":
129 | return tasnet(pretrained=True, extra=True)
130 | else:
131 | raise ValueError(f"Invalid pretrained name {name}")
132 |
133 |
134 | def _load_state(name, model, quantizer=None):
135 | url = get_url(name)
136 | state = torch.hub.load_state_dict_from_url(url, map_location='cpu', check_hash=True)
137 | set_state(model, quantizer, state)
138 | if quantizer:
139 | quantizer.detach()
140 |
141 |
142 | def demucs_unittest(pretrained=True):
143 | model = Demucs(channels=4, sources=SOURCES)
144 | if pretrained:
145 | _load_state('demucs_unittest', model)
146 | return model
147 |
148 |
149 | def demucs(pretrained=True, extra=False, quantized=False, hq=False, channels=64):
150 | if not pretrained and (extra or quantized or hq):
151 | raise ValueError("if extra or quantized is True, pretrained must be True.")
152 | model = Demucs(sources=SOURCES, channels=channels)
153 | if pretrained:
154 | name = 'demucs'
155 | if channels != 64:
156 | name += str(channels)
157 | quantizer = None
158 | if sum([extra, quantized, hq]) > 1:
159 | raise ValueError("Only one of extra, quantized, hq, can be True.")
160 | if quantized:
161 | quantizer = DiffQuantizer(model, group_size=8, min_size=1)
162 | name += '_quantized'
163 | if extra:
164 | name += '_extra'
165 | if hq:
166 | name += '_hq'
167 | _load_state(name, model, quantizer)
168 | return model
169 |
170 |
171 | def tasnet(pretrained=True, extra=False):
172 | if not pretrained and extra:
173 | raise ValueError("if extra is True, pretrained must be True.")
174 | model = ConvTasNet(X=10, sources=SOURCES)
175 | if pretrained:
176 | name = 'tasnet'
177 | if extra:
178 | name = 'tasnet_extra'
179 | _load_state(name, model)
180 | return model
--------------------------------------------------------------------------------
/demucs/repo.py:
--------------------------------------------------------------------------------
1 | # Copyright (c) Facebook, Inc. and its affiliates.
2 | # All rights reserved.
3 | #
4 | # This source code is licensed under the license found in the
5 | # LICENSE file in the root directory of this source tree.
6 | """Represents a model repository, including pre-trained models and bags of models.
7 | A repo can either be the main remote repository stored in AWS, or a local repository
8 | with your own models.
9 | """
10 |
11 | from hashlib import sha256
12 | from pathlib import Path
13 | import typing as tp
14 |
15 | import torch
16 | import yaml
17 |
18 | from .apply import BagOfModels, Model
19 | from .states import load_model
20 |
21 |
22 | AnyModel = tp.Union[Model, BagOfModels]
23 |
24 |
25 | class ModelLoadingError(RuntimeError):
26 | pass
27 |
28 |
29 | def check_checksum(path: Path, checksum: str):
30 | sha = sha256()
31 | with open(path, 'rb') as file:
32 | while True:
33 | buf = file.read(2**20)
34 | if not buf:
35 | break
36 | sha.update(buf)
37 | actual_checksum = sha.hexdigest()[:len(checksum)]
38 | if actual_checksum != checksum:
39 | raise ModelLoadingError(f'Invalid checksum for file {path}, '
40 | f'expected {checksum} but got {actual_checksum}')
41 |
42 | class ModelOnlyRepo:
43 | """Base class for all model only repos.
44 | """
45 | def has_model(self, sig: str) -> bool:
46 | raise NotImplementedError()
47 |
48 | def get_model(self, sig: str) -> Model:
49 | raise NotImplementedError()
50 |
51 |
52 | class RemoteRepo(ModelOnlyRepo):
53 | def __init__(self, models: tp.Dict[str, str]):
54 | self._models = models
55 |
56 | def has_model(self, sig: str) -> bool:
57 | return sig in self._models
58 |
59 | def get_model(self, sig: str) -> Model:
60 | try:
61 | url = self._models[sig]
62 | except KeyError:
63 | raise ModelLoadingError(f'Could not find a pre-trained model with signature {sig}.')
64 | pkg = torch.hub.load_state_dict_from_url(url, map_location='cpu', check_hash=True)
65 | return load_model(pkg)
66 |
67 |
68 | class LocalRepo(ModelOnlyRepo):
69 | def __init__(self, root: Path):
70 | self.root = root
71 | self.scan()
72 |
73 | def scan(self):
74 | self._models = {}
75 | self._checksums = {}
76 | for file in self.root.iterdir():
77 | if file.suffix == '.th':
78 | if '-' in file.stem:
79 | xp_sig, checksum = file.stem.split('-')
80 | self._checksums[xp_sig] = checksum
81 | else:
82 | xp_sig = file.stem
83 | if xp_sig in self._models:
84 | print('Whats xp? ', xp_sig)
85 | raise ModelLoadingError(
86 | f'Duplicate pre-trained model exist for signature {xp_sig}. '
87 | 'Please delete all but one.')
88 | self._models[xp_sig] = file
89 |
90 | def has_model(self, sig: str) -> bool:
91 | return sig in self._models
92 |
93 | def get_model(self, sig: str) -> Model:
94 | try:
95 | file = self._models[sig]
96 | except KeyError:
97 | raise ModelLoadingError(f'Could not find pre-trained model with signature {sig}.')
98 | if sig in self._checksums:
99 | check_checksum(file, self._checksums[sig])
100 | return load_model(file)
101 |
102 |
103 | class BagOnlyRepo:
104 | """Handles only YAML files containing bag of models, leaving the actual
105 | model loading to some Repo.
106 | """
107 | def __init__(self, root: Path, model_repo: ModelOnlyRepo):
108 | self.root = root
109 | self.model_repo = model_repo
110 | self.scan()
111 |
112 | def scan(self):
113 | self._bags = {}
114 | for file in self.root.iterdir():
115 | if file.suffix == '.yaml':
116 | self._bags[file.stem] = file
117 |
118 | def has_model(self, name: str) -> bool:
119 | return name in self._bags
120 |
121 | def get_model(self, name: str) -> BagOfModels:
122 | try:
123 | yaml_file = self._bags[name]
124 | except KeyError:
125 | raise ModelLoadingError(f'{name} is neither a single pre-trained model or '
126 | 'a bag of models.')
127 | bag = yaml.safe_load(open(yaml_file))
128 | signatures = bag['models']
129 | models = [self.model_repo.get_model(sig) for sig in signatures]
130 | weights = bag.get('weights')
131 | segment = bag.get('segment')
132 | return BagOfModels(models, weights, segment)
133 |
134 |
135 | class AnyModelRepo:
136 | def __init__(self, model_repo: ModelOnlyRepo, bag_repo: BagOnlyRepo):
137 | self.model_repo = model_repo
138 | self.bag_repo = bag_repo
139 |
140 | def has_model(self, name_or_sig: str) -> bool:
141 | return self.model_repo.has_model(name_or_sig) or self.bag_repo.has_model(name_or_sig)
142 |
143 | def get_model(self, name_or_sig: str) -> AnyModel:
144 | print('name_or_sig: ', name_or_sig)
145 | if self.model_repo.has_model(name_or_sig):
146 | return self.model_repo.get_model(name_or_sig)
147 | else:
148 | return self.bag_repo.get_model(name_or_sig)
149 |
--------------------------------------------------------------------------------
/demucs/spec.py:
--------------------------------------------------------------------------------
1 | # Copyright (c) Meta Platforms, Inc. and affiliates.
2 | # All rights reserved.
3 | #
4 | # This source code is licensed under the license found in the
5 | # LICENSE file in the root directory of this source tree.
6 | """Conveniance wrapper to perform STFT and iSTFT"""
7 |
8 | import torch as th
9 |
10 |
11 | def spectro(x, n_fft=512, hop_length=None, pad=0):
12 | *other, length = x.shape
13 | x = x.reshape(-1, length)
14 |
15 | device_type = x.device.type
16 | is_other_gpu = not device_type in ["cuda", "cpu"]
17 |
18 | if is_other_gpu:
19 | x = x.cpu()
20 | z = th.stft(x,
21 | n_fft * (1 + pad),
22 | hop_length or n_fft // 4,
23 | window=th.hann_window(n_fft).to(x),
24 | win_length=n_fft,
25 | normalized=True,
26 | center=True,
27 | return_complex=True,
28 | pad_mode='reflect')
29 | _, freqs, frame = z.shape
30 | return z.view(*other, freqs, frame)
31 |
32 |
33 | def ispectro(z, hop_length=None, length=None, pad=0):
34 | *other, freqs, frames = z.shape
35 | n_fft = 2 * freqs - 2
36 | z = z.view(-1, freqs, frames)
37 | win_length = n_fft // (1 + pad)
38 |
39 | device_type = z.device.type
40 | is_other_gpu = not device_type in ["cuda", "cpu"]
41 |
42 | if is_other_gpu:
43 | z = z.cpu()
44 | x = th.istft(z,
45 | n_fft,
46 | hop_length,
47 | window=th.hann_window(win_length).to(z.real),
48 | win_length=win_length,
49 | normalized=True,
50 | length=length,
51 | center=True)
52 | _, length = x.shape
53 | return x.view(*other, length)
54 |
--------------------------------------------------------------------------------
/demucs/states.py:
--------------------------------------------------------------------------------
1 | # Copyright (c) Facebook, Inc. and its affiliates.
2 | # All rights reserved.
3 | #
4 | # This source code is licensed under the license found in the
5 | # LICENSE file in the root directory of this source tree.
6 | """
7 | Utilities to save and load models.
8 | """
9 | from contextlib import contextmanager
10 |
11 | import functools
12 | import hashlib
13 | import inspect
14 | import io
15 | from pathlib import Path
16 | import warnings
17 |
18 | from omegaconf import OmegaConf
19 | from diffq import DiffQuantizer, UniformQuantizer, restore_quantized_state
20 | import torch
21 |
22 |
23 | def get_quantizer(model, args, optimizer=None):
24 | """Return the quantizer given the XP quantization args."""
25 | quantizer = None
26 | if args.diffq:
27 | quantizer = DiffQuantizer(
28 | model, min_size=args.min_size, group_size=args.group_size)
29 | if optimizer is not None:
30 | quantizer.setup_optimizer(optimizer)
31 | elif args.qat:
32 | quantizer = UniformQuantizer(
33 | model, bits=args.qat, min_size=args.min_size)
34 | return quantizer
35 |
36 |
37 | def load_model(path_or_package, strict=False):
38 | """Load a model from the given serialized model, either given as a dict (already loaded)
39 | or a path to a file on disk."""
40 | if isinstance(path_or_package, dict):
41 | package = path_or_package
42 | elif isinstance(path_or_package, (str, Path)):
43 | with warnings.catch_warnings():
44 | warnings.simplefilter("ignore")
45 | path = path_or_package
46 | package = torch.load(path, 'cpu')
47 | else:
48 | raise ValueError(f"Invalid type for {path_or_package}.")
49 |
50 | klass = package["klass"]
51 | args = package["args"]
52 | kwargs = package["kwargs"]
53 |
54 | if strict:
55 | model = klass(*args, **kwargs)
56 | else:
57 | sig = inspect.signature(klass)
58 | for key in list(kwargs):
59 | if key not in sig.parameters:
60 | warnings.warn("Dropping inexistant parameter " + key)
61 | del kwargs[key]
62 | model = klass(*args, **kwargs)
63 |
64 | state = package["state"]
65 |
66 | set_state(model, state)
67 | return model
68 |
69 |
70 | def get_state(model, quantizer, half=False):
71 | """Get the state from a model, potentially with quantization applied.
72 | If `half` is True, model are stored as half precision, which shouldn't impact performance
73 | but half the state size."""
74 | if quantizer is None:
75 | dtype = torch.half if half else None
76 | state = {k: p.data.to(device='cpu', dtype=dtype) for k, p in model.state_dict().items()}
77 | else:
78 | state = quantizer.get_quantized_state()
79 | state['__quantized'] = True
80 | return state
81 |
82 |
83 | def set_state(model, state, quantizer=None):
84 | """Set the state on a given model."""
85 | if state.get('__quantized'):
86 | if quantizer is not None:
87 | quantizer.restore_quantized_state(model, state['quantized'])
88 | else:
89 | restore_quantized_state(model, state)
90 | else:
91 | model.load_state_dict(state)
92 | return state
93 |
94 |
95 | def save_with_checksum(content, path):
96 | """Save the given value on disk, along with a sha256 hash.
97 | Should be used with the output of either `serialize_model` or `get_state`."""
98 | buf = io.BytesIO()
99 | torch.save(content, buf)
100 | sig = hashlib.sha256(buf.getvalue()).hexdigest()[:8]
101 |
102 | path = path.parent / (path.stem + "-" + sig + path.suffix)
103 | path.write_bytes(buf.getvalue())
104 |
105 |
106 | def serialize_model(model, training_args, quantizer=None, half=True):
107 | args, kwargs = model._init_args_kwargs
108 | klass = model.__class__
109 |
110 | state = get_state(model, quantizer, half)
111 | return {
112 | 'klass': klass,
113 | 'args': args,
114 | 'kwargs': kwargs,
115 | 'state': state,
116 | 'training_args': OmegaConf.to_container(training_args, resolve=True),
117 | }
118 |
119 |
120 | def copy_state(state):
121 | return {k: v.cpu().clone() for k, v in state.items()}
122 |
123 |
124 | @contextmanager
125 | def swap_state(model, state):
126 | """
127 | Context manager that swaps the state of a model, e.g:
128 |
129 | # model is in old state
130 | with swap_state(model, new_state):
131 | # model in new state
132 | # model back to old state
133 | """
134 | old_state = copy_state(model.state_dict())
135 | model.load_state_dict(state, strict=False)
136 | try:
137 | yield
138 | finally:
139 | model.load_state_dict(old_state)
140 |
141 |
142 | def capture_init(init):
143 | @functools.wraps(init)
144 | def __init__(self, *args, **kwargs):
145 | self._init_args_kwargs = (args, kwargs)
146 | init(self, *args, **kwargs)
147 |
148 | return __init__
149 |
--------------------------------------------------------------------------------
/gui_data/change_log.txt:
--------------------------------------------------------------------------------
1 | Most Recent Changes:
2 |
3 | ~ Fixed Download Center model list issue.
4 | ~ Fixed audio clip in ensemble mode.
5 | ~ Fixed output model name issue in ensemble mode.
6 | ~ Added "Batch Mode" for MDX-Net to increase performance.
7 | ~ Batch Mode is more memory efficient.
8 | ~ Batch Mode produces the best output, regardless of batch size.
9 | ~ Added Batch Mode for VR Architecture.
10 | ~ Added Mixer Mode for Demucs.
11 | ~ This option may improve separation for some 4-stem models.
12 |
13 | Fixes & Changes going from UVR v5.4 to v5.5:
14 |
15 | ~ The progress bar is now fully synced up with every process in the application.
16 | ~ Fixed low-resolution icon.
17 | ~ Added the ability to download models manually if the application can't connect
18 | to the internet.
19 | ~ Drag-n-drop is functional across all os platforms.
20 | ~ Resolved mp3 tag issue in MacOS version.
21 |
22 | Performance:
23 |
24 | ~ Model load times are faster.
25 | ~ Importing/exporting audio files is faster.
26 |
27 | MacOS M1 Notes:
28 |
29 | ~ The GPU Conversion checkbox will enable MPS for GPU acceleration. However,
30 | only the VR Architecture models are currently compatible with it.
31 |
32 | New Options:
33 |
34 | ~ Select Saved Settings option - Allows the user to save the current settings
35 | of the whole application. You can also load a saved setting or reset them to
36 | the default.
37 | ~ Right-click menu - Allows for quick access to important options.
38 | ~ Help Hints option - When enabled, users can hover over options to see a pop-up
39 | text that describes that option. The right-clicking option also allows copying
40 | the "Help Hint" text.
41 | ~ Secondary Model Mode - This option is an expanded version of the "Demucs Model"
42 | option that was only available to MDX-Net. Except now, this option is available
43 | in all three AI Networks and for any stem. Any model can now be Secondary, and
44 | the user can choose the amount of influence it has on the final result.
45 | ~ Robust caching for ensemble mode, allowing for much faster processing times.
46 | ~ Clicking the "Input" field will pop up a window allowing the user to review the selected audio inputs. Within this menu, users can:
47 | ~ Remove inputs.
48 | ~ Verify inputs.
49 | ~ Create samples of chosen inputs.
50 | ~ "Sample Mode" option - Allows the user to process only part of a track to sample
51 | settings or a model without running a full conversion.
52 | ~ The number in the parentheses is the current number of seconds the generated
53 | sample will be.
54 | ~ You can choose the number of seconds to extract from the track in the "Additional
55 | Settings" menu.
56 |
57 | VR Architecture:
58 |
59 | ~ Ability to toggle "High-End Processing."
60 | ~ Ability to change the post-processing threshold.
61 | ~ Support for the latest VR architecture
62 | ~ Crop Size and Batch Size are specifically for models using the latest
63 | architecture only.
64 |
65 | MDX-NET:
66 |
67 | ~ Denoise Output option results in cleaner results,
68 | but the processing time will be longer. This option has replaced Noise Reduction.
69 | ~ Spectral Inversion option uses spectral inversion techniques for a
70 | cleaner secondary stem result. This option may slow down the audio export process.
71 | ~ Secondary stem now has the same frequency cut-off as the main stem.
72 |
73 | Demucs:
74 |
75 | ~ Demucs v4 models are now supported, including the 6-stem model.
76 | ~ Ability to combine remaining stems instead of inverting selected stem with the
77 | mixture only when a user does not select "All Stems".
78 | ~ A Pre-process model that allows the user to run an inference through a robust
79 | vocal or instrumental model and separate the remaining stems from its generated
80 | instrumental mix. This option can significantly reduce vocal bleed in other
81 | Demucs-generated non-vocal stems.
82 | ~ The Pre-process model is intended for Demucs separations for all stems except
83 | vocals and instrumentals.
84 |
85 | Ensemble Mode:
86 |
87 | ~ Ensemble Mode has been extended to include the following:
88 | ~ Averaging is a new algorithm that averages the final results.
89 | ~ Unlimited models in the ensemble.
90 | ~ Ability to save different ensembles.
91 | ~ Ability to ensemble outputs for all individual stem types.
92 | ~ Ability to choose unique ensemble algorithms.
93 | ~ Ability to ensemble all 4 Demucs stems at once.
--------------------------------------------------------------------------------
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/gui_data/error_handling.py:
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1 | from datetime import datetime
2 | import traceback
3 |
4 | CUDA_MEMORY_ERROR = "CUDA out of memory"
5 | CUDA_RUNTIME_ERROR = "CUDNN error executing cudnnSetTensorNdDescriptor"
6 | DEMUCS_MODEL_MISSING_ERROR = "is neither a single pre-trained model or a bag of models."
7 | ENSEMBLE_MISSING_MODEL_ERROR = "local variable \'enseExport\' referenced before assignment"
8 | FFMPEG_MISSING_ERROR = """audioread\__init__.py", line 116, in audio_open"""
9 | FILE_MISSING_ERROR = "FileNotFoundError"
10 | MDX_MEMORY_ERROR = "onnxruntime::CudaCall CUDA failure 2: out of memory"
11 | MDX_MODEL_MISSING = "[ONNXRuntimeError] : 3 : NO_SUCHFILE"
12 | MDX_MODEL_SETTINGS_ERROR = "Got invalid dimensions for input"
13 | MDX_RUNTIME_ERROR = "onnxruntime::BFCArena::AllocateRawInternal"
14 | MODULE_ERROR = "ModuleNotFoundError"
15 | WINDOW_SIZE_ERROR = "h1_shape[3] must be greater than h2_shape[3]"
16 | SF_WRITE_ERROR = "sf.write"
17 | SYSTEM_MEMORY_ERROR = "DefaultCPUAllocator: not enough memory"
18 | MISSING_MODEL_ERROR = "'NoneType\' object has no attribute \'model_basename\'"
19 | ARRAY_SIZE_ERROR = "ValueError: \"array is too big; `arr.size * arr.dtype.itemsize` is larger than the maximum possible size.\""
20 | GPU_INCOMPATIBLE_ERROR = "no kernel image is available for execution on the device"
21 | SELECT_CORRECT_GPU = "CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect."
22 |
23 | CONTACT_DEV = 'If this error persists, please contact the developers with the error details.'
24 |
25 | ERROR_MAPPER = {
26 | CUDA_MEMORY_ERROR:
27 | ('The application was unable to allocate enough GPU memory to use this model. ' +
28 | 'Please close any GPU intensive applications and try again.\n' +
29 | 'If the error persists, your GPU might not be supported.') ,
30 | CUDA_RUNTIME_ERROR:
31 | (f'Your PC cannot process this audio file with the segment size selected. Please lower the segment size and try again.\n\n{CONTACT_DEV}'),
32 | DEMUCS_MODEL_MISSING_ERROR:
33 | ('The selected Demucs model is missing. ' +
34 | 'Please download the model or make sure it is in the correct directory.'),
35 | ENSEMBLE_MISSING_MODEL_ERROR:
36 | ('The application was unable to locate a model you selected for this ensemble.\n\n' +
37 | 'Please do the following to use all compatible models:\n\n1. Navigate to the \"Updates\" tab in the Help Guide.\n2. Download and install the model expansion pack.\n3. Then try again.\n\n' +
38 | 'If the error persists, please verify all models are present.'),
39 | FFMPEG_MISSING_ERROR:
40 | ('The input file type is not supported or FFmpeg is missing. Please select a file type supported by FFmpeg and try again. ' +
41 | 'If FFmpeg is missing or not installed, you will only be able to process \".wav\" files until it is available on this system. ' +
42 | f'See the \"More Info\" tab in the Help Guide.\n\n{CONTACT_DEV}'),
43 | FILE_MISSING_ERROR:
44 | (f'Missing file error raised. Please address the error and try again.\n\n{CONTACT_DEV}'),
45 | MDX_MEMORY_ERROR:
46 | ('The application was unable to allocate enough GPU memory to use this model.\n\n' +
47 | 'Please do the following:\n\n1. Close any GPU intensive applications.\n2. Lower the set segment size.\n3. Then try again.\n\n' +
48 | 'If the error persists, your GPU might not be supported.'),
49 | MDX_MODEL_MISSING:
50 | ('The application could not detect this MDX-Net model on your system. ' +
51 | 'Please make sure all the models are present in the correct directory.\n\n' +
52 | 'If the error persists, please reinstall application or contact the developers.'),
53 | MDX_RUNTIME_ERROR:
54 | ('The application was unable to allocate enough GPU memory to use this model.\n\n' +
55 | 'Please do the following:\n\n1. Close any GPU intensive applications.\n2. Lower the set segment size.\n3. Then try again.\n\n' +
56 | 'If the error persists, your GPU might not be supported.'),
57 | WINDOW_SIZE_ERROR:
58 | ('Invalid window size.\n\n' +
59 | 'The chosen window size is likely not compatible with this model. Please select a different size and try again.'),
60 | SF_WRITE_ERROR:
61 | ('Could not write audio file.\n\n' +
62 | 'This could be due to one of the following:\n\n1. Low storage on target device.\n2. The export directory no longer exists.\n3. A system permissions issue.'),
63 | SYSTEM_MEMORY_ERROR:
64 | ('The application was unable to allocate enough system memory to use this model.\n\n' +
65 | 'Please do the following:\n\n1. Restart this application.\n2. Ensure any CPU intensive applications are closed.\n3. Then try again.\n\n' +
66 | 'Please Note: Intel Pentium and Intel Celeron processors do not work well with this application.\n\n' +
67 | 'If the error persists, the system may not have enough RAM, or your CPU might not be supported.'),
68 | MISSING_MODEL_ERROR:
69 | ('Model Missing: The application was unable to locate the chosen model.\n\n' +
70 | 'If the error persists, please verify any selected models are present.'),
71 | GPU_INCOMPATIBLE_ERROR:
72 | ('This process is not compatible with your GPU.\n\n' +
73 | 'Please uncheck \"GPU Conversion\" and try again'),
74 | SELECT_CORRECT_GPU:
75 | ('Make sure you\'ve chosen the correct GPU.\n\n'
76 | 'Go to the "Settings Guide", click the "Additional Settings" tab and select the correct GPU device.'),
77 | ARRAY_SIZE_ERROR:
78 | ('The application was not able to process the given audiofile. Please convert the audiofile to another format and try again.'),
79 | }
80 |
81 | def error_text(process_method, exception):
82 |
83 | traceback_text = ''.join(traceback.format_tb(exception.__traceback__))
84 | message = f'{type(exception).__name__}: "{exception}"\nTraceback Error: "\n{traceback_text}"\n'
85 | error_message = f'\n\nRaw Error Details:\n\n{message}\nError Time Stamp [{datetime.now().strftime("%Y-%m-%d %H:%M:%S")}]\n'
86 | process = f'Last Error Received:\n\nProcess: {process_method}\n\n'
87 |
88 | for error_type, full_text in ERROR_MAPPER.items():
89 | if error_type in message:
90 | final_message = full_text
91 | break
92 | else:
93 | final_message = (CONTACT_DEV)
94 |
95 | return f"{process}{final_message}{error_message}"
96 |
97 | def error_dialouge(exception):
98 |
99 | error_name = f'{type(exception).__name__}'
100 | traceback_text = ''.join(traceback.format_tb(exception.__traceback__))
101 | message = f'{error_name}: "{exception}"\n{traceback_text}"'
102 |
103 | for error_type, full_text in ERROR_MAPPER.items():
104 | if error_type in message:
105 | final_message = full_text
106 | break
107 | else:
108 | final_message = (f'An Error Occurred: {error_name}\n\n{CONTACT_DEV}')
109 |
110 | return final_message
111 |
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/gui_data/old_data_check.py:
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1 | import os
2 | import shutil
3 |
4 | def file_check(original_dir, new_dir):
5 |
6 | if os.path.isdir(original_dir):
7 | for file in os.listdir(original_dir):
8 | shutil.move(os.path.join(original_dir, file), os.path.join(new_dir, file))
9 |
10 | if len(os.listdir(original_dir)) == 0:
11 | shutil.rmtree(original_dir)
12 |
13 | def remove_unneeded_yamls(demucs_dir):
14 |
15 | for file in os.listdir(demucs_dir):
16 | if file.endswith('.yaml'):
17 | if os.path.isfile(os.path.join(demucs_dir, file)):
18 | os.remove(os.path.join(demucs_dir, file))
19 |
20 | def remove_temps(remove_dir):
21 |
22 | if os.path.isdir(remove_dir):
23 | try:
24 | shutil.rmtree(remove_dir)
25 | except Exception as e:
26 | print(e)
27 |
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/gui_data/own_font.json:
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1 | {
2 | "font_name": null,
3 | "font_file": null
4 | }
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/gui_data/saved_ensembles/saved_ensembles_go_here.txt:
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1 | saved_ensembles_go_here
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/gui_data/saved_settings/saved_settings_go_here.txt:
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1 | saved_settings_go_here
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/gui_data/sv_ttk/__init__.py:
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1 | from pathlib import Path
2 | import platform
3 |
4 | if platform.system() == "Darwin":
5 | sun_valley_tcl = "sun-valley_darwin.tcl"
6 | else:
7 | sun_valley_tcl = "sun-valley.tcl"
8 |
9 | inited = False
10 | root = None
11 |
12 |
13 | def init(func):
14 | def wrapper(*args, **kwargs):
15 | global inited
16 | global root
17 |
18 | if not inited:
19 | from tkinter import _default_root
20 |
21 | path = (Path(__file__).parent / sun_valley_tcl).resolve()
22 |
23 | try:
24 | _default_root.tk.call("source", str(path))
25 | except AttributeError:
26 | raise RuntimeError(
27 | "can't set theme. "
28 | "Tk is not initialized. "
29 | "Please first create a tkinter.Tk instance, then set the theme."
30 | ) from None
31 | else:
32 | inited = True
33 | root = _default_root
34 |
35 | return func(*args, **kwargs)
36 |
37 | return wrapper
38 |
39 |
40 | @init
41 | def set_theme(theme, font_name="Century Gothic", f_size=10, fg_color_set="#F6F6F7"):
42 | if theme not in {"dark", "light"}:
43 | raise RuntimeError(f"not a valid theme name: {theme}")
44 |
45 | root.globalsetvar("fontName", (font_name, f_size))
46 | root.globalsetvar("fgcolorset", (fg_color_set))
47 | root.tk.call("set_theme", theme)
48 |
49 |
50 | @init
51 | def get_theme():
52 | theme = root.tk.call("ttk::style", "theme", "use")
53 |
54 | try:
55 | return {"sun-valley-dark": "dark", "sun-valley-light": "light"}[theme]
56 | except KeyError:
57 | return theme
58 |
59 |
60 | @init
61 | def toggle_theme():
62 | if get_theme() == "dark":
63 | use_light_theme()
64 | else:
65 | use_dark_theme()
66 |
67 |
68 | use_dark_theme = lambda: set_theme("dark")
69 | use_light_theme = lambda: set_theme("light")
70 |
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/gui_data/sv_ttk/sun-valley.tcl:
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1 | # Copyright © 2021 rdbende <rdbende@gmail.com>
2 |
3 | source [file join [file dirname [info script]] theme dark.tcl]
4 |
5 | option add *tearOff 0
6 |
7 | proc set_theme {mode} {
8 | if {$mode == "dark"} {
9 | ttk::style theme use "sun-valley-dark"
10 |
11 | set fontString "$::fontName"
12 | set fgSet "$::fgcolorset"
13 |
14 | array set colors {
15 | -fg "#F6F6F7"
16 | -bg "#0e0e0f"
17 | -disabledfg "#F6F6F7"
18 | -selectfg "#F6F6F7"
19 | -selectbg "#003b50"
20 | }
21 |
22 | ttk::style configure . \
23 | -background $colors(-bg) \
24 | -foreground $fgSet \
25 | -troughcolor $colors(-bg) \
26 | -focuscolor $colors(-selectbg) \
27 | -selectbackground $colors(-selectbg) \
28 | -selectforeground $colors(-selectfg) \
29 | -insertwidth 0 \
30 | -insertcolor $colors(-fg) \
31 | -fieldbackground $colors(-selectbg) \
32 | -font $fontString \
33 | -borderwidth 0 \
34 | -relief flat
35 |
36 | tk_setPalette \
37 | background [ttk::style lookup . -background] \
38 | foreground [ttk::style lookup . -foreground] \
39 | highlightColor [ttk::style lookup . -focuscolor] \
40 | selectBackground [ttk::style lookup . -selectbackground] \
41 | selectForeground [ttk::style lookup . -selectforeground] \
42 | activeBackground [ttk::style lookup . -selectbackground] \
43 | activeForeground [ttk::style lookup . -selectforeground]
44 |
45 | ttk::style map . -foreground [list disabled $colors(-disabledfg)]
46 |
47 | option add *font [ttk::style lookup . -font]
48 | option add *Menu.selectcolor $colors(-fg)
49 | option add *Menu.background #0e0e0f
50 |
51 | }
52 | }
53 |
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/gui_data/sv_ttk/sun-valley_darwin.tcl:
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1 | # Copyright © 2021 rdbende <rdbende@gmail.com>
2 |
3 | source [file join [file dirname [info script]] theme dark.tcl]
4 |
5 | option add *tearOff 0
6 |
7 | proc set_theme {mode} {
8 | if {$mode == "dark"} {
9 | ttk::style theme use "sun-valley-dark"
10 |
11 | array set colors {
12 | -fg "#F6F6F7"
13 | -bg "#0e0e0f"
14 | -disabledfg "#F6F6F7"
15 | -selectfg "#F6F6F7"
16 | -selectbg "#003b50"
17 | }
18 |
19 | ttk::style configure . \
20 | -background $colors(-bg) \
21 | -foreground $colors(-fg) \
22 | -troughcolor $colors(-bg) \
23 | -focuscolor $colors(-selectbg) \
24 | -selectbackground $colors(-selectbg) \
25 | -selectforeground $colors(-selectfg) \
26 | -insertwidth 0 \
27 | -insertcolor $colors(-fg) \
28 | -fieldbackground $colors(-selectbg) \
29 | -font {"Century Gothic" 13} \
30 | -borderwidth 0 \
31 | -relief flat
32 |
33 | tk_setPalette \
34 | background [ttk::style lookup . -background] \
35 | foreground [ttk::style lookup . -foreground] \
36 | highlightColor [ttk::style lookup . -focuscolor] \
37 | selectBackground [ttk::style lookup . -selectbackground] \
38 | selectForeground [ttk::style lookup . -selectforeground] \
39 | activeBackground [ttk::style lookup . -selectbackground] \
40 | activeForeground [ttk::style lookup . -selectforeground]
41 |
42 | ttk::style map . -foreground [list disabled $colors(-disabledfg)]
43 |
44 | option add *font [ttk::style lookup . -font]
45 | option add *Menu.selectcolor $colors(-fg)
46 | option add *Menu.background #0e0e0f
47 |
48 | }
49 | }
50 |
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/gui_data/tkinterdnd2/__init__.py:
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1 | # dnd actions
2 | PRIVATE = 'private'
3 | NONE = 'none'
4 | ASK = 'ask'
5 | COPY = 'copy'
6 | MOVE = 'move'
7 | LINK = 'link'
8 | REFUSE_DROP = 'refuse_drop'
9 |
10 | # dnd types
11 | DND_TEXT = 'DND_Text'
12 | DND_FILES = 'DND_Files'
13 | DND_ALL = '*'
14 | CF_UNICODETEXT = 'CF_UNICODETEXT'
15 | CF_TEXT = 'CF_TEXT'
16 | CF_HDROP = 'CF_HDROP'
17 |
18 | FileGroupDescriptor = 'FileGroupDescriptor - FileContents'# ??
19 | FileGroupDescriptorW = 'FileGroupDescriptorW - FileContents'# ??
20 |
21 | from . import TkinterDnD
22 | from .TkinterDnD import Tk
23 | from .TkinterDnD import TixTk
24 |
25 |
26 |
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/gui_data/tkinterdnd2/tkdnd/linux64/libtkdnd2.9.2.so:
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/gui_data/tkinterdnd2/tkdnd/linux64/pkgIndex.tcl:
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1 | #
2 | # Tcl package index file
3 | #
4 | package ifneeded tkdnd 2.9.2 \
5 | "source \{$dir/tkdnd.tcl\} ; \
6 | tkdnd::initialise \{$dir\} libtkdnd2.9.2.so tkdnd"
7 |
8 | package ifneeded tkdnd::utils 2.9.2 \
9 | "source \{$dir/tkdnd_utils.tcl\} ; \
10 | package provide tkdnd::utils 2.9.2"
11 |
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/gui_data/tkinterdnd2/tkdnd/linux64/tkdnd_compat.tcl:
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1 | #
2 | # tkdnd_compat.tcl --
3 | #
4 | # This file implements some utility procedures, to support older versions
5 | # of the TkDND package.
6 | #
7 | # This software is copyrighted by:
8 | # George Petasis, National Centre for Scientific Research "Demokritos",
9 | # Aghia Paraskevi, Athens, Greece.
10 | # e-mail: petasis@iit.demokritos.gr
11 | #
12 | # The following terms apply to all files associated
13 | # with the software unless explicitly disclaimed in individual files.
14 | #
15 | # The authors hereby grant permission to use, copy, modify, distribute,
16 | # and license this software and its documentation for any purpose, provided
17 | # that existing copyright notices are retained in all copies and that this
18 | # notice is included verbatim in any distributions. No written agreement,
19 | # license, or royalty fee is required for any of the authorized uses.
20 | # Modifications to this software may be copyrighted by their authors
21 | # and need not follow the licensing terms described here, provided that
22 | # the new terms are clearly indicated on the first page of each file where
23 | # they apply.
24 | #
25 | # IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
26 | # FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
27 | # ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
28 | # DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
29 | # POSSIBILITY OF SUCH DAMAGE.
30 | #
31 | # THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
32 | # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY,
33 | # FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE
34 | # IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE
35 | # NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR
36 | # MODIFICATIONS.
37 | #
38 |
39 | namespace eval compat {
40 |
41 | };# namespace compat
42 |
43 | # ----------------------------------------------------------------------------
44 | # Command ::dnd
45 | # ----------------------------------------------------------------------------
46 | proc ::dnd {method window args} {
47 | switch $method {
48 | bindtarget {
49 | switch [llength $args] {
50 | 0 {return [tkdnd::compat::bindtarget0 $window]}
51 | 1 {return [tkdnd::compat::bindtarget1 $window [lindex $args 0]]}
52 | 2 {return [tkdnd::compat::bindtarget2 $window [lindex $args 0] \
53 | [lindex $args 1]]}
54 | 3 {return [tkdnd::compat::bindtarget3 $window [lindex $args 0] \
55 | [lindex $args 1] [lindex $args 2]]}
56 | 4 {return [tkdnd::compat::bindtarget4 $window [lindex $args 0] \
57 | [lindex $args 1] [lindex $args 2] [lindex $args 3]]}
58 | }
59 | }
60 | cleartarget {
61 | return [tkdnd::compat::cleartarget $window]
62 | }
63 | bindsource {
64 | switch [llength $args] {
65 | 0 {return [tkdnd::compat::bindsource0 $window]}
66 | 1 {return [tkdnd::compat::bindsource1 $window [lindex $args 0]]}
67 | 2 {return [tkdnd::compat::bindsource2 $window [lindex $args 0] \
68 | [lindex $args 1]]}
69 | 3 {return [tkdnd::compat::bindsource3 $window [lindex $args 0] \
70 | [lindex $args 1] [lindex $args 2]]}
71 | }
72 | }
73 | clearsource {
74 | return [tkdnd::compat::clearsource $window]
75 | }
76 | drag {
77 | return [tkdnd::_init_drag 1 $window "press" 0 0 0 0]
78 | }
79 | }
80 | error "invalid number of arguments!"
81 | };# ::dnd
82 |
83 | # ----------------------------------------------------------------------------
84 | # Command compat::bindtarget
85 | # ----------------------------------------------------------------------------
86 | proc compat::bindtarget0 {window} {
87 | return [bind $window <<DropTargetTypes>>]
88 | };# compat::bindtarget0
89 |
90 | proc compat::bindtarget1 {window type} {
91 | return [bindtarget2 $window $type <Drop>]
92 | };# compat::bindtarget1
93 |
94 | proc compat::bindtarget2 {window type event} {
95 | switch $event {
96 | <DragEnter> {return [bind $window <<DropEnter>>]}
97 | <Drag> {return [bind $window <<DropPosition>>]}
98 | <DragLeave> {return [bind $window <<DropLeave>>]}
99 | <Drop> {return [bind $window <<Drop>>]}
100 | }
101 | };# compat::bindtarget2
102 |
103 | proc compat::bindtarget3 {window type event script} {
104 | set type [normalise_type $type]
105 | ::tkdnd::drop_target register $window [list $type]
106 | switch $event {
107 | <DragEnter> {return [bind $window <<DropEnter>> $script]}
108 | <Drag> {return [bind $window <<DropPosition>> $script]}
109 | <DragLeave> {return [bind $window <<DropLeave>> $script]}
110 | <Drop> {return [bind $window <<Drop>> $script]}
111 | }
112 | };# compat::bindtarget3
113 |
114 | proc compat::bindtarget4 {window type event script priority} {
115 | return [bindtarget3 $window $type $event $script]
116 | };# compat::bindtarget4
117 |
118 | proc compat::normalise_type { type } {
119 | switch $type {
120 | text/plain -
121 | {text/plain;charset=UTF-8} -
122 | Text {return DND_Text}
123 | text/uri-list -
124 | Files {return DND_Files}
125 | default {return $type}
126 | }
127 | };# compat::normalise_type
128 |
129 | # ----------------------------------------------------------------------------
130 | # Command compat::bindsource
131 | # ----------------------------------------------------------------------------
132 | proc compat::bindsource0 {window} {
133 | return [bind $window <<DropTargetTypes>>]
134 | };# compat::bindsource0
135 |
136 | proc compat::bindsource1 {window type} {
137 | return [bindsource2 $window $type <Drop>]
138 | };# compat::bindsource1
139 |
140 | proc compat::bindsource2 {window type script} {
141 | set type [normalise_type $type]
142 | ::tkdnd::drag_source register $window $type
143 | bind $window <<DragInitCmd>> "list {copy} {%t} \[$script\]"
144 | };# compat::bindsource2
145 |
146 | proc compat::bindsource3 {window type script priority} {
147 | return [bindsource2 $window $type $script]
148 | };# compat::bindsource3
149 |
150 | # ----------------------------------------------------------------------------
151 | # Command compat::cleartarget
152 | # ----------------------------------------------------------------------------
153 | proc compat::cleartarget {window} {
154 | };# compat::cleartarget
155 |
156 | # ----------------------------------------------------------------------------
157 | # Command compat::clearsource
158 | # ----------------------------------------------------------------------------
159 | proc compat::clearsource {window} {
160 | };# compat::clearsource
161 |
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/linux64/tkdnd_macosx.tcl:
--------------------------------------------------------------------------------
1 | #
2 | # tkdnd_macosx.tcl --
3 | #
4 | # This file implements some utility procedures that are used by the TkDND
5 | # package.
6 |
7 | # This software is copyrighted by:
8 | # Georgios Petasis, Athens, Greece.
9 | # e-mail: petasisg@yahoo.gr, petasis@iit.demokritos.gr
10 | #
11 | # Mac portions (c) 2009 Kevin Walzer/WordTech Communications LLC,
12 | # kw@codebykevin.com
13 | #
14 | #
15 | # The following terms apply to all files associated
16 | # with the software unless explicitly disclaimed in individual files.
17 | #
18 | # The authors hereby grant permission to use, copy, modify, distribute,
19 | # and license this software and its documentation for any purpose, provided
20 | # that existing copyright notices are retained in all copies and that this
21 | # notice is included verbatim in any distributions. No written agreement,
22 | # license, or royalty fee is required for any of the authorized uses.
23 | # Modifications to this software may be copyrighted by their authors
24 | # and need not follow the licensing terms described here, provided that
25 | # the new terms are clearly indicated on the first page of each file where
26 | # they apply.
27 | #
28 | # IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
29 | # FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
30 | # ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
31 | # DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
32 | # POSSIBILITY OF SUCH DAMAGE.
33 | #
34 | # THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
35 | # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY,
36 | # FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE
37 | # IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE
38 | # NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR
39 | # MODIFICATIONS.
40 | #
41 |
42 | #basic API for Mac Drag and Drop
43 |
44 | #two data types supported: strings and file paths
45 |
46 | #two commands at C level: ::tkdnd::macdnd::registerdragwidget, ::tkdnd::macdnd::unregisterdragwidget
47 |
48 | #data retrieval mechanism: text or file paths are copied from drag clipboard to system clipboard and retrieved via [clipboard get]; array of file paths is converted to single tab-separated string, can be split into Tcl list
49 |
50 | if {[tk windowingsystem] eq "aqua" && "AppKit" ni [winfo server .]} {
51 | error {TkAqua Cocoa required}
52 | }
53 |
54 | namespace eval macdnd {
55 |
56 | proc initialise { } {
57 | ## Mapping from platform types to TkDND types...
58 | ::tkdnd::generic::initialise_platform_to_tkdnd_types [list \
59 | NSPasteboardTypeString DND_Text \
60 | NSFilenamesPboardType DND_Files \
61 | NSPasteboardTypeHTML DND_HTML \
62 | ]
63 | };# initialise
64 |
65 | };# namespace macdnd
66 |
67 | # ----------------------------------------------------------------------------
68 | # Command macdnd::HandleEnter
69 | # ----------------------------------------------------------------------------
70 | proc macdnd::HandleEnter { path drag_source typelist { data {} } } {
71 | variable _pressedkeys
72 | variable _actionlist
73 | set _pressedkeys 1
74 | set _actionlist { copy move link ask private }
75 | ::tkdnd::generic::SetDroppedData $data
76 | ::tkdnd::generic::HandleEnter $path $drag_source $typelist $typelist \
77 | $_actionlist $_pressedkeys
78 | };# macdnd::HandleEnter
79 |
80 | # ----------------------------------------------------------------------------
81 | # Command macdnd::HandlePosition
82 | # ----------------------------------------------------------------------------
83 | proc macdnd::HandlePosition { drop_target rootX rootY {drag_source {}} } {
84 | variable _pressedkeys
85 | variable _last_mouse_root_x; set _last_mouse_root_x $rootX
86 | variable _last_mouse_root_y; set _last_mouse_root_y $rootY
87 | ::tkdnd::generic::HandlePosition $drop_target $drag_source \
88 | $_pressedkeys $rootX $rootY
89 | };# macdnd::HandlePosition
90 |
91 | # ----------------------------------------------------------------------------
92 | # Command macdnd::HandleLeave
93 | # ----------------------------------------------------------------------------
94 | proc macdnd::HandleLeave { args } {
95 | ::tkdnd::generic::HandleLeave
96 | };# macdnd::HandleLeave
97 |
98 | # ----------------------------------------------------------------------------
99 | # Command macdnd::HandleDrop
100 | # ----------------------------------------------------------------------------
101 | proc macdnd::HandleDrop { drop_target data args } {
102 | variable _pressedkeys
103 | variable _last_mouse_root_x
104 | variable _last_mouse_root_y
105 | ## Get the dropped data...
106 | ::tkdnd::generic::SetDroppedData $data
107 | ::tkdnd::generic::HandleDrop {} {} $_pressedkeys \
108 | $_last_mouse_root_x $_last_mouse_root_y 0
109 | };# macdnd::HandleDrop
110 |
111 | # ----------------------------------------------------------------------------
112 | # Command macdnd::GetDragSourceCommonTypes
113 | # ----------------------------------------------------------------------------
114 | proc macdnd::GetDragSourceCommonTypes { } {
115 | ::tkdnd::generic::GetDragSourceCommonTypes
116 | };# macdnd::GetDragSourceCommonTypes
117 |
118 | # ----------------------------------------------------------------------------
119 | # Command macdnd::platform_specific_types
120 | # ----------------------------------------------------------------------------
121 | proc macdnd::platform_specific_types { types } {
122 | ::tkdnd::generic::platform_specific_types $types
123 | }; # macdnd::platform_specific_types
124 |
125 | # ----------------------------------------------------------------------------
126 | # Command macdnd::platform_specific_type
127 | # ----------------------------------------------------------------------------
128 | proc macdnd::platform_specific_type { type } {
129 | ::tkdnd::generic::platform_specific_type $type
130 | }; # macdnd::platform_specific_type
131 |
132 | # ----------------------------------------------------------------------------
133 | # Command tkdnd::platform_independent_types
134 | # ----------------------------------------------------------------------------
135 | proc ::tkdnd::platform_independent_types { types } {
136 | ::tkdnd::generic::platform_independent_types $types
137 | }; # tkdnd::platform_independent_types
138 |
139 | # ----------------------------------------------------------------------------
140 | # Command macdnd::platform_independent_type
141 | # ----------------------------------------------------------------------------
142 | proc macdnd::platform_independent_type { type } {
143 | ::tkdnd::generic::platform_independent_type $type
144 | }; # macdnd::platform_independent_type
145 |
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/gui_data/tkinterdnd2/tkdnd/osx64/libtkdnd2.9.2.dylib:
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https://raw.githubusercontent.com/Anjok07/ultimatevocalremovergui/5517e0cf0d1acd16a1618eeedec596957523f9e1/gui_data/tkinterdnd2/tkdnd/osx64/libtkdnd2.9.2.dylib
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/gui_data/tkinterdnd2/tkdnd/osx64/pkgIndex.tcl:
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1 | #
2 | # Tcl package index file
3 | #
4 | package ifneeded tkdnd 2.9.2 \
5 | "source \{$dir/tkdnd.tcl\} ; \
6 | tkdnd::initialise \{$dir\} libtkdnd2.9.2.dylib tkdnd"
7 |
8 | package ifneeded tkdnd::utils 2.9.2 \
9 | "source \{$dir/tkdnd_utils.tcl\} ; \
10 | package provide tkdnd::utils 2.9.2"
11 |
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/gui_data/tkinterdnd2/tkdnd/osx64/tkdnd_compat.tcl:
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1 | #
2 | # tkdnd_compat.tcl --
3 | #
4 | # This file implements some utility procedures, to support older versions
5 | # of the TkDND package.
6 | #
7 | # This software is copyrighted by:
8 | # George Petasis, National Centre for Scientific Research "Demokritos",
9 | # Aghia Paraskevi, Athens, Greece.
10 | # e-mail: petasis@iit.demokritos.gr
11 | #
12 | # The following terms apply to all files associated
13 | # with the software unless explicitly disclaimed in individual files.
14 | #
15 | # The authors hereby grant permission to use, copy, modify, distribute,
16 | # and license this software and its documentation for any purpose, provided
17 | # that existing copyright notices are retained in all copies and that this
18 | # notice is included verbatim in any distributions. No written agreement,
19 | # license, or royalty fee is required for any of the authorized uses.
20 | # Modifications to this software may be copyrighted by their authors
21 | # and need not follow the licensing terms described here, provided that
22 | # the new terms are clearly indicated on the first page of each file where
23 | # they apply.
24 | #
25 | # IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
26 | # FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
27 | # ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
28 | # DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
29 | # POSSIBILITY OF SUCH DAMAGE.
30 | #
31 | # THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
32 | # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY,
33 | # FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE
34 | # IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE
35 | # NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR
36 | # MODIFICATIONS.
37 | #
38 |
39 | namespace eval compat {
40 |
41 | };# namespace compat
42 |
43 | # ----------------------------------------------------------------------------
44 | # Command ::dnd
45 | # ----------------------------------------------------------------------------
46 | proc ::dnd {method window args} {
47 | switch $method {
48 | bindtarget {
49 | switch [llength $args] {
50 | 0 {return [tkdnd::compat::bindtarget0 $window]}
51 | 1 {return [tkdnd::compat::bindtarget1 $window [lindex $args 0]]}
52 | 2 {return [tkdnd::compat::bindtarget2 $window [lindex $args 0] \
53 | [lindex $args 1]]}
54 | 3 {return [tkdnd::compat::bindtarget3 $window [lindex $args 0] \
55 | [lindex $args 1] [lindex $args 2]]}
56 | 4 {return [tkdnd::compat::bindtarget4 $window [lindex $args 0] \
57 | [lindex $args 1] [lindex $args 2] [lindex $args 3]]}
58 | }
59 | }
60 | cleartarget {
61 | return [tkdnd::compat::cleartarget $window]
62 | }
63 | bindsource {
64 | switch [llength $args] {
65 | 0 {return [tkdnd::compat::bindsource0 $window]}
66 | 1 {return [tkdnd::compat::bindsource1 $window [lindex $args 0]]}
67 | 2 {return [tkdnd::compat::bindsource2 $window [lindex $args 0] \
68 | [lindex $args 1]]}
69 | 3 {return [tkdnd::compat::bindsource3 $window [lindex $args 0] \
70 | [lindex $args 1] [lindex $args 2]]}
71 | }
72 | }
73 | clearsource {
74 | return [tkdnd::compat::clearsource $window]
75 | }
76 | drag {
77 | return [tkdnd::_init_drag 1 $window "press" 0 0 0 0]
78 | }
79 | }
80 | error "invalid number of arguments!"
81 | };# ::dnd
82 |
83 | # ----------------------------------------------------------------------------
84 | # Command compat::bindtarget
85 | # ----------------------------------------------------------------------------
86 | proc compat::bindtarget0 {window} {
87 | return [bind $window <<DropTargetTypes>>]
88 | };# compat::bindtarget0
89 |
90 | proc compat::bindtarget1 {window type} {
91 | return [bindtarget2 $window $type <Drop>]
92 | };# compat::bindtarget1
93 |
94 | proc compat::bindtarget2 {window type event} {
95 | switch $event {
96 | <DragEnter> {return [bind $window <<DropEnter>>]}
97 | <Drag> {return [bind $window <<DropPosition>>]}
98 | <DragLeave> {return [bind $window <<DropLeave>>]}
99 | <Drop> {return [bind $window <<Drop>>]}
100 | }
101 | };# compat::bindtarget2
102 |
103 | proc compat::bindtarget3 {window type event script} {
104 | set type [normalise_type $type]
105 | ::tkdnd::drop_target register $window [list $type]
106 | switch $event {
107 | <DragEnter> {return [bind $window <<DropEnter>> $script]}
108 | <Drag> {return [bind $window <<DropPosition>> $script]}
109 | <DragLeave> {return [bind $window <<DropLeave>> $script]}
110 | <Drop> {return [bind $window <<Drop>> $script]}
111 | }
112 | };# compat::bindtarget3
113 |
114 | proc compat::bindtarget4 {window type event script priority} {
115 | return [bindtarget3 $window $type $event $script]
116 | };# compat::bindtarget4
117 |
118 | proc compat::normalise_type { type } {
119 | switch $type {
120 | text/plain -
121 | {text/plain;charset=UTF-8} -
122 | Text {return DND_Text}
123 | text/uri-list -
124 | Files {return DND_Files}
125 | default {return $type}
126 | }
127 | };# compat::normalise_type
128 |
129 | # ----------------------------------------------------------------------------
130 | # Command compat::bindsource
131 | # ----------------------------------------------------------------------------
132 | proc compat::bindsource0 {window} {
133 | return [bind $window <<DropTargetTypes>>]
134 | };# compat::bindsource0
135 |
136 | proc compat::bindsource1 {window type} {
137 | return [bindsource2 $window $type <Drop>]
138 | };# compat::bindsource1
139 |
140 | proc compat::bindsource2 {window type script} {
141 | set type [normalise_type $type]
142 | ::tkdnd::drag_source register $window $type
143 | bind $window <<DragInitCmd>> "list {copy} {%t} \[$script\]"
144 | };# compat::bindsource2
145 |
146 | proc compat::bindsource3 {window type script priority} {
147 | return [bindsource2 $window $type $script]
148 | };# compat::bindsource3
149 |
150 | # ----------------------------------------------------------------------------
151 | # Command compat::cleartarget
152 | # ----------------------------------------------------------------------------
153 | proc compat::cleartarget {window} {
154 | };# compat::cleartarget
155 |
156 | # ----------------------------------------------------------------------------
157 | # Command compat::clearsource
158 | # ----------------------------------------------------------------------------
159 | proc compat::clearsource {window} {
160 | };# compat::clearsource
161 |
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/osx64/tkdnd_macosx.tcl:
--------------------------------------------------------------------------------
1 | #
2 | # tkdnd_macosx.tcl --
3 | #
4 | # This file implements some utility procedures that are used by the TkDND
5 | # package.
6 |
7 | # This software is copyrighted by:
8 | # Georgios Petasis, Athens, Greece.
9 | # e-mail: petasisg@yahoo.gr, petasis@iit.demokritos.gr
10 | #
11 | # Mac portions (c) 2009 Kevin Walzer/WordTech Communications LLC,
12 | # kw@codebykevin.com
13 | #
14 | #
15 | # The following terms apply to all files associated
16 | # with the software unless explicitly disclaimed in individual files.
17 | #
18 | # The authors hereby grant permission to use, copy, modify, distribute,
19 | # and license this software and its documentation for any purpose, provided
20 | # that existing copyright notices are retained in all copies and that this
21 | # notice is included verbatim in any distributions. No written agreement,
22 | # license, or royalty fee is required for any of the authorized uses.
23 | # Modifications to this software may be copyrighted by their authors
24 | # and need not follow the licensing terms described here, provided that
25 | # the new terms are clearly indicated on the first page of each file where
26 | # they apply.
27 | #
28 | # IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
29 | # FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
30 | # ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
31 | # DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
32 | # POSSIBILITY OF SUCH DAMAGE.
33 | #
34 | # THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
35 | # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY,
36 | # FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE
37 | # IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE
38 | # NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR
39 | # MODIFICATIONS.
40 | #
41 |
42 | #basic API for Mac Drag and Drop
43 |
44 | #two data types supported: strings and file paths
45 |
46 | #two commands at C level: ::tkdnd::macdnd::registerdragwidget, ::tkdnd::macdnd::unregisterdragwidget
47 |
48 | #data retrieval mechanism: text or file paths are copied from drag clipboard to system clipboard and retrieved via [clipboard get]; array of file paths is converted to single tab-separated string, can be split into Tcl list
49 |
50 | if {[tk windowingsystem] eq "aqua" && "AppKit" ni [winfo server .]} {
51 | error {TkAqua Cocoa required}
52 | }
53 |
54 | namespace eval macdnd {
55 |
56 | proc initialise { } {
57 | ## Mapping from platform types to TkDND types...
58 | ::tkdnd::generic::initialise_platform_to_tkdnd_types [list \
59 | NSPasteboardTypeString DND_Text \
60 | NSFilenamesPboardType DND_Files \
61 | NSPasteboardTypeHTML DND_HTML \
62 | ]
63 | };# initialise
64 |
65 | };# namespace macdnd
66 |
67 | # ----------------------------------------------------------------------------
68 | # Command macdnd::HandleEnter
69 | # ----------------------------------------------------------------------------
70 | proc macdnd::HandleEnter { path drag_source typelist { data {} } } {
71 | variable _pressedkeys
72 | variable _actionlist
73 | set _pressedkeys 1
74 | set _actionlist { copy move link ask private }
75 | ::tkdnd::generic::SetDroppedData $data
76 | ::tkdnd::generic::HandleEnter $path $drag_source $typelist $typelist \
77 | $_actionlist $_pressedkeys
78 | };# macdnd::HandleEnter
79 |
80 | # ----------------------------------------------------------------------------
81 | # Command macdnd::HandlePosition
82 | # ----------------------------------------------------------------------------
83 | proc macdnd::HandlePosition { drop_target rootX rootY {drag_source {}} } {
84 | variable _pressedkeys
85 | variable _last_mouse_root_x; set _last_mouse_root_x $rootX
86 | variable _last_mouse_root_y; set _last_mouse_root_y $rootY
87 | ::tkdnd::generic::HandlePosition $drop_target $drag_source \
88 | $_pressedkeys $rootX $rootY
89 | };# macdnd::HandlePosition
90 |
91 | # ----------------------------------------------------------------------------
92 | # Command macdnd::HandleLeave
93 | # ----------------------------------------------------------------------------
94 | proc macdnd::HandleLeave { args } {
95 | ::tkdnd::generic::HandleLeave
96 | };# macdnd::HandleLeave
97 |
98 | # ----------------------------------------------------------------------------
99 | # Command macdnd::HandleDrop
100 | # ----------------------------------------------------------------------------
101 | proc macdnd::HandleDrop { drop_target data args } {
102 | variable _pressedkeys
103 | variable _last_mouse_root_x
104 | variable _last_mouse_root_y
105 | ## Get the dropped data...
106 | ::tkdnd::generic::SetDroppedData $data
107 | ::tkdnd::generic::HandleDrop {} {} $_pressedkeys \
108 | $_last_mouse_root_x $_last_mouse_root_y 0
109 | };# macdnd::HandleDrop
110 |
111 | # ----------------------------------------------------------------------------
112 | # Command macdnd::GetDragSourceCommonTypes
113 | # ----------------------------------------------------------------------------
114 | proc macdnd::GetDragSourceCommonTypes { } {
115 | ::tkdnd::generic::GetDragSourceCommonTypes
116 | };# macdnd::GetDragSourceCommonTypes
117 |
118 | # ----------------------------------------------------------------------------
119 | # Command macdnd::platform_specific_types
120 | # ----------------------------------------------------------------------------
121 | proc macdnd::platform_specific_types { types } {
122 | ::tkdnd::generic::platform_specific_types $types
123 | }; # macdnd::platform_specific_types
124 |
125 | # ----------------------------------------------------------------------------
126 | # Command macdnd::platform_specific_type
127 | # ----------------------------------------------------------------------------
128 | proc macdnd::platform_specific_type { type } {
129 | ::tkdnd::generic::platform_specific_type $type
130 | }; # macdnd::platform_specific_type
131 |
132 | # ----------------------------------------------------------------------------
133 | # Command tkdnd::platform_independent_types
134 | # ----------------------------------------------------------------------------
135 | proc ::tkdnd::platform_independent_types { types } {
136 | ::tkdnd::generic::platform_independent_types $types
137 | }; # tkdnd::platform_independent_types
138 |
139 | # ----------------------------------------------------------------------------
140 | # Command macdnd::platform_independent_type
141 | # ----------------------------------------------------------------------------
142 | proc macdnd::platform_independent_type { type } {
143 | ::tkdnd::generic::platform_independent_type $type
144 | }; # macdnd::platform_independent_type
145 |
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/osx64/tkdnd_windows.tcl:
--------------------------------------------------------------------------------
1 | #
2 | # tkdnd_windows.tcl --
3 | #
4 | # This file implements some utility procedures that are used by the TkDND
5 | # package.
6 | #
7 | # This software is copyrighted by:
8 | # George Petasis, National Centre for Scientific Research "Demokritos",
9 | # Aghia Paraskevi, Athens, Greece.
10 | # e-mail: petasis@iit.demokritos.gr
11 | #
12 | # The following terms apply to all files associated
13 | # with the software unless explicitly disclaimed in individual files.
14 | #
15 | # The authors hereby grant permission to use, copy, modify, distribute,
16 | # and license this software and its documentation for any purpose, provided
17 | # that existing copyright notices are retained in all copies and that this
18 | # notice is included verbatim in any distributions. No written agreement,
19 | # license, or royalty fee is required for any of the authorized uses.
20 | # Modifications to this software may be copyrighted by their authors
21 | # and need not follow the licensing terms described here, provided that
22 | # the new terms are clearly indicated on the first page of each file where
23 | # they apply.
24 | #
25 | # IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
26 | # FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
27 | # ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
28 | # DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
29 | # POSSIBILITY OF SUCH DAMAGE.
30 | #
31 | # THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
32 | # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY,
33 | # FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE
34 | # IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE
35 | # NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR
36 | # MODIFICATIONS.
37 | #
38 |
39 | namespace eval olednd {
40 |
41 | proc initialise { } {
42 | ## Mapping from platform types to TkDND types...
43 | ::tkdnd::generic::initialise_platform_to_tkdnd_types [list \
44 | CF_UNICODETEXT DND_Text \
45 | CF_TEXT DND_Text \
46 | CF_HDROP DND_Files \
47 | UniformResourceLocator DND_URL \
48 | CF_HTML DND_HTML \
49 | {HTML Format} DND_HTML \
50 | CF_RTF DND_RTF \
51 | CF_RTFTEXT DND_RTF \
52 | {Rich Text Format} DND_RTF \
53 | ]
54 | # FileGroupDescriptorW DND_Files \
55 | # FileGroupDescriptor DND_Files \
56 |
57 | ## Mapping from TkDND types to platform types...
58 | ::tkdnd::generic::initialise_tkdnd_to_platform_types [list \
59 | DND_Text {CF_UNICODETEXT CF_TEXT} \
60 | DND_Files {CF_HDROP} \
61 | DND_URL {UniformResourceLocator UniformResourceLocatorW} \
62 | DND_HTML {CF_HTML {HTML Format}} \
63 | DND_RTF {CF_RTF CF_RTFTEXT {Rich Text Format}} \
64 | ]
65 | };# initialise
66 |
67 | };# namespace olednd
68 |
69 | # ----------------------------------------------------------------------------
70 | # Command olednd::HandleDragEnter
71 | # ----------------------------------------------------------------------------
72 | proc olednd::HandleDragEnter { drop_target typelist actionlist pressedkeys
73 | rootX rootY codelist { data {} } } {
74 | ::tkdnd::generic::SetDroppedData $data
75 | focus $drop_target
76 | ::tkdnd::generic::HandleEnter $drop_target 0 $typelist \
77 | $codelist $actionlist $pressedkeys
78 | set action [::tkdnd::generic::HandlePosition $drop_target {} \
79 | $pressedkeys $rootX $rootY]
80 | if {$::tkdnd::_auto_update} {update idletasks}
81 | return $action
82 | };# olednd::HandleDragEnter
83 |
84 | # ----------------------------------------------------------------------------
85 | # Command olednd::HandleDragOver
86 | # ----------------------------------------------------------------------------
87 | proc olednd::HandleDragOver { drop_target pressedkeys rootX rootY } {
88 | set action [::tkdnd::generic::HandlePosition $drop_target {} \
89 | $pressedkeys $rootX $rootY]
90 | if {$::tkdnd::_auto_update} {update idletasks}
91 | return $action
92 | };# olednd::HandleDragOver
93 |
94 | # ----------------------------------------------------------------------------
95 | # Command olednd::HandleDragLeave
96 | # ----------------------------------------------------------------------------
97 | proc olednd::HandleDragLeave { drop_target } {
98 | ::tkdnd::generic::HandleLeave
99 | if {$::tkdnd::_auto_update} {update idletasks}
100 | };# olednd::HandleDragLeave
101 |
102 | # ----------------------------------------------------------------------------
103 | # Command olednd::HandleDrop
104 | # ----------------------------------------------------------------------------
105 | proc olednd::HandleDrop { drop_target pressedkeys rootX rootY type data } {
106 | ::tkdnd::generic::SetDroppedData [normalise_data $type $data]
107 | set action [::tkdnd::generic::HandleDrop $drop_target {} \
108 | $pressedkeys $rootX $rootY 0]
109 | if {$::tkdnd::_auto_update} {update idletasks}
110 | return $action
111 | };# olednd::HandleDrop
112 |
113 | # ----------------------------------------------------------------------------
114 | # Command olednd::GetDataType
115 | # ----------------------------------------------------------------------------
116 | proc olednd::GetDataType { drop_target typelist } {
117 | foreach {drop_target common_drag_source_types common_drop_target_types} \
118 | [::tkdnd::generic::FindWindowWithCommonTypes $drop_target $typelist] {break}
119 | lindex $common_drag_source_types 0
120 | };# olednd::GetDataType
121 |
122 | # ----------------------------------------------------------------------------
123 | # Command olednd::GetDragSourceCommonTypes
124 | # ----------------------------------------------------------------------------
125 | proc olednd::GetDragSourceCommonTypes { drop_target } {
126 | ::tkdnd::generic::GetDragSourceCommonTypes
127 | };# olednd::GetDragSourceCommonTypes
128 |
129 | # ----------------------------------------------------------------------------
130 | # Command olednd::platform_specific_types
131 | # ----------------------------------------------------------------------------
132 | proc olednd::platform_specific_types { types } {
133 | ::tkdnd::generic::platform_specific_types $types
134 | }; # olednd::platform_specific_types
135 |
136 | # ----------------------------------------------------------------------------
137 | # Command olednd::platform_specific_type
138 | # ----------------------------------------------------------------------------
139 | proc olednd::platform_specific_type { type } {
140 | ::tkdnd::generic::platform_specific_type $type
141 | }; # olednd::platform_specific_type
142 |
143 | # ----------------------------------------------------------------------------
144 | # Command tkdnd::platform_independent_types
145 | # ----------------------------------------------------------------------------
146 | proc ::tkdnd::platform_independent_types { types } {
147 | ::tkdnd::generic::platform_independent_types $types
148 | }; # tkdnd::platform_independent_types
149 |
150 | # ----------------------------------------------------------------------------
151 | # Command olednd::platform_independent_type
152 | # ----------------------------------------------------------------------------
153 | proc olednd::platform_independent_type { type } {
154 | ::tkdnd::generic::platform_independent_type $type
155 | }; # olednd::platform_independent_type
156 |
157 | # ----------------------------------------------------------------------------
158 | # Command olednd::normalise_data
159 | # ----------------------------------------------------------------------------
160 | proc olednd::normalise_data { type data } {
161 | switch [lindex [::tkdnd::generic::platform_independent_type $type] 0] {
162 | DND_Text {return $data}
163 | DND_Files {return $data}
164 | DND_HTML {return [encoding convertfrom utf-8 $data]}
165 | default {return $data}
166 | }
167 | }; # olednd::normalise_data
168 |
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/osx_arm/libtkdnd2.9.3.dylib:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/Anjok07/ultimatevocalremovergui/5517e0cf0d1acd16a1618eeedec596957523f9e1/gui_data/tkinterdnd2/tkdnd/osx_arm/libtkdnd2.9.3.dylib
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/osx_arm/pkgIndex.tcl:
--------------------------------------------------------------------------------
1 | #
2 | # Tcl package index file
3 | #
4 |
5 | namespace eval ::tkdnd {
6 | ## Check if a debug level must be set...
7 | if {[info exists ::TKDND_DEBUG_LEVEL]} {
8 | variable _debug_level $::TKDND_DEBUG_LEVEL
9 | } elseif {[info exists ::env(TKDND_DEBUG_LEVEL)]} {
10 | variable _debug_level $::env(TKDND_DEBUG_LEVEL)
11 | } else {
12 | variable _debug_level 0
13 | }
14 |
15 | # ----------------------------------------------------------------------------
16 | # Command tkdnd::debug_enabled: returns the requested debug level (0 = no debug).
17 | # ----------------------------------------------------------------------------
18 | proc debug_enabled { {level {}} } {
19 | variable _debug_level
20 | if {$level != {}} {
21 | if {[string is integer -strict $level]} {
22 | set _debug_level $level
23 | } elseif {[string is true $level]} {
24 | set _debug_level 1
25 | }
26 | }
27 | return $_debug_level
28 | };# debug_enabled
29 |
30 | # ----------------------------------------------------------------------------
31 | # Command tkdnd::source: source a Tcl fileInitialise the TkDND package.
32 | # ----------------------------------------------------------------------------
33 | proc source { filename { encoding utf-8 } } {
34 | variable _package_dir
35 | # If in debug mode, enable debug statements...
36 | set dbg_lvl [debug_enabled]
37 | if {$dbg_lvl} {
38 | puts "tkdnd::source (debug level $dbg_lvl) $filename"
39 | set fd [open $filename r]
40 | fconfigure $fd -encoding $encoding
41 | set script [read $fd]
42 | close $fd
43 | set map {}
44 | for {set lvl 0} {$lvl <= $dbg_lvl} {incr lvl} {
45 | lappend map "#DBG$lvl " {}
46 | }
47 | lappend map {#DBG } {}
48 | set script [string map $map $script]
49 | return [eval $script]
50 | }
51 | ::source -encoding $encoding $filename
52 | };# source
53 |
54 | }; # namespace ::tkdnd
55 |
56 | package ifneeded tkdnd 2.9.3 \
57 | "tkdnd::source \{$dir/tkdnd.tcl\} ; \
58 | tkdnd::initialise \{$dir\} libtkdnd2.9.3.dylib tkdnd"
59 |
60 | package ifneeded tkdnd::utils 2.9.3 \
61 | "tkdnd::source \{$dir/tkdnd_utils.tcl\} ; \
62 | package provide tkdnd::utils 2.9.3"
63 |
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/osx_arm/tkdnd_compat.tcl:
--------------------------------------------------------------------------------
1 | #
2 | # tkdnd_compat.tcl --
3 | #
4 | # This file implements some utility procedures, to support older versions
5 | # of the TkDND package.
6 | #
7 | # This software is copyrighted by:
8 | # George Petasis, National Centre for Scientific Research "Demokritos",
9 | # Aghia Paraskevi, Athens, Greece.
10 | # e-mail: petasis@iit.demokritos.gr
11 | #
12 | # The following terms apply to all files associated
13 | # with the software unless explicitly disclaimed in individual files.
14 | #
15 | # The authors hereby grant permission to use, copy, modify, distribute,
16 | # and license this software and its documentation for any purpose, provided
17 | # that existing copyright notices are retained in all copies and that this
18 | # notice is included verbatim in any distributions. No written agreement,
19 | # license, or royalty fee is required for any of the authorized uses.
20 | # Modifications to this software may be copyrighted by their authors
21 | # and need not follow the licensing terms described here, provided that
22 | # the new terms are clearly indicated on the first page of each file where
23 | # they apply.
24 | #
25 | # IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
26 | # FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
27 | # ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
28 | # DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
29 | # POSSIBILITY OF SUCH DAMAGE.
30 | #
31 | # THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
32 | # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY,
33 | # FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE
34 | # IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE
35 | # NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR
36 | # MODIFICATIONS.
37 | #
38 |
39 | namespace eval compat {
40 |
41 | };# namespace compat
42 |
43 | # ----------------------------------------------------------------------------
44 | # Command ::dnd
45 | # ----------------------------------------------------------------------------
46 | proc ::dnd {method window args} {
47 | switch $method {
48 | bindtarget {
49 | switch [llength $args] {
50 | 0 {return [tkdnd::compat::bindtarget0 $window]}
51 | 1 {return [tkdnd::compat::bindtarget1 $window [lindex $args 0]]}
52 | 2 {return [tkdnd::compat::bindtarget2 $window [lindex $args 0] \
53 | [lindex $args 1]]}
54 | 3 {return [tkdnd::compat::bindtarget3 $window [lindex $args 0] \
55 | [lindex $args 1] [lindex $args 2]]}
56 | 4 {return [tkdnd::compat::bindtarget4 $window [lindex $args 0] \
57 | [lindex $args 1] [lindex $args 2] [lindex $args 3]]}
58 | }
59 | }
60 | cleartarget {
61 | return [tkdnd::compat::cleartarget $window]
62 | }
63 | bindsource {
64 | switch [llength $args] {
65 | 0 {return [tkdnd::compat::bindsource0 $window]}
66 | 1 {return [tkdnd::compat::bindsource1 $window [lindex $args 0]]}
67 | 2 {return [tkdnd::compat::bindsource2 $window [lindex $args 0] \
68 | [lindex $args 1]]}
69 | 3 {return [tkdnd::compat::bindsource3 $window [lindex $args 0] \
70 | [lindex $args 1] [lindex $args 2]]}
71 | }
72 | }
73 | clearsource {
74 | return [tkdnd::compat::clearsource $window]
75 | }
76 | drag {
77 | return [tkdnd::_init_drag 1 $window "press" 0 0 0 0]
78 | }
79 | }
80 | error "invalid number of arguments!"
81 | };# ::dnd
82 |
83 | # ----------------------------------------------------------------------------
84 | # Command compat::bindtarget
85 | # ----------------------------------------------------------------------------
86 | proc compat::bindtarget0 {window} {
87 | return [bind $window <<DropTargetTypes>>]
88 | };# compat::bindtarget0
89 |
90 | proc compat::bindtarget1 {window type} {
91 | return [bindtarget2 $window $type <Drop>]
92 | };# compat::bindtarget1
93 |
94 | proc compat::bindtarget2 {window type event} {
95 | switch $event {
96 | <DragEnter> {return [bind $window <<DropEnter>>]}
97 | <Drag> {return [bind $window <<DropPosition>>]}
98 | <DragLeave> {return [bind $window <<DropLeave>>]}
99 | <Drop> {return [bind $window <<Drop>>]}
100 | }
101 | };# compat::bindtarget2
102 |
103 | proc compat::bindtarget3 {window type event script} {
104 | set type [normalise_type $type]
105 | ::tkdnd::drop_target register $window [list $type]
106 | switch $event {
107 | <DragEnter> {return [bind $window <<DropEnter>> $script]}
108 | <Drag> {return [bind $window <<DropPosition>> $script]}
109 | <DragLeave> {return [bind $window <<DropLeave>> $script]}
110 | <Drop> {return [bind $window <<Drop>> $script]}
111 | }
112 | };# compat::bindtarget3
113 |
114 | proc compat::bindtarget4 {window type event script priority} {
115 | return [bindtarget3 $window $type $event $script]
116 | };# compat::bindtarget4
117 |
118 | proc compat::normalise_type { type } {
119 | switch $type {
120 | text/plain -
121 | {text/plain;charset=UTF-8} -
122 | Text {return DND_Text}
123 | text/uri-list -
124 | Files {return DND_Files}
125 | default {return $type}
126 | }
127 | };# compat::normalise_type
128 |
129 | # ----------------------------------------------------------------------------
130 | # Command compat::bindsource
131 | # ----------------------------------------------------------------------------
132 | proc compat::bindsource0 {window} {
133 | return [bind $window <<DropTargetTypes>>]
134 | };# compat::bindsource0
135 |
136 | proc compat::bindsource1 {window type} {
137 | return [bindsource2 $window $type <Drop>]
138 | };# compat::bindsource1
139 |
140 | proc compat::bindsource2 {window type script} {
141 | set type [normalise_type $type]
142 | ::tkdnd::drag_source register $window $type
143 | bind $window <<DragInitCmd>> "list {copy} {%t} \[$script\]"
144 | };# compat::bindsource2
145 |
146 | proc compat::bindsource3 {window type script priority} {
147 | return [bindsource2 $window $type $script]
148 | };# compat::bindsource3
149 |
150 | # ----------------------------------------------------------------------------
151 | # Command compat::cleartarget
152 | # ----------------------------------------------------------------------------
153 | proc compat::cleartarget {window} {
154 | };# compat::cleartarget
155 |
156 | # ----------------------------------------------------------------------------
157 | # Command compat::clearsource
158 | # ----------------------------------------------------------------------------
159 | proc compat::clearsource {window} {
160 | };# compat::clearsource
161 |
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/osx_arm/tkdnd_macosx.tcl:
--------------------------------------------------------------------------------
1 | #
2 | # tkdnd_macosx.tcl --
3 | #
4 | # This file implements some utility procedures that are used by the TkDND
5 | # package.
6 |
7 | # This software is copyrighted by:
8 | # Georgios Petasis, Athens, Greece.
9 | # e-mail: petasisg@yahoo.gr, petasis@iit.demokritos.gr
10 | #
11 | # Mac portions (c) 2009 Kevin Walzer/WordTech Communications LLC,
12 | # kw@codebykevin.com
13 | #
14 | #
15 | # The following terms apply to all files associated
16 | # with the software unless explicitly disclaimed in individual files.
17 | #
18 | # The authors hereby grant permission to use, copy, modify, distribute,
19 | # and license this software and its documentation for any purpose, provided
20 | # that existing copyright notices are retained in all copies and that this
21 | # notice is included verbatim in any distributions. No written agreement,
22 | # license, or royalty fee is required for any of the authorized uses.
23 | # Modifications to this software may be copyrighted by their authors
24 | # and need not follow the licensing terms described here, provided that
25 | # the new terms are clearly indicated on the first page of each file where
26 | # they apply.
27 | #
28 | # IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
29 | # FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
30 | # ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
31 | # DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
32 | # POSSIBILITY OF SUCH DAMAGE.
33 | #
34 | # THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
35 | # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY,
36 | # FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE
37 | # IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE
38 | # NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR
39 | # MODIFICATIONS.
40 | #
41 |
42 | #basic API for Mac Drag and Drop
43 |
44 | #two data types supported: strings and file paths
45 |
46 | #two commands at C level: ::tkdnd::macdnd::registerdragwidget, ::tkdnd::macdnd::unregisterdragwidget
47 |
48 | #data retrieval mechanism: text or file paths are copied from drag clipboard to system clipboard and retrieved via [clipboard get]; array of file paths is converted to single tab-separated string, can be split into Tcl list
49 |
50 | if {[tk windowingsystem] eq "aqua" && "AppKit" ni [winfo server .]} {
51 | error {TkAqua Cocoa required}
52 | }
53 |
54 | namespace eval macdnd {
55 |
56 | proc initialise { } {
57 | ## Mapping from platform types to TkDND types...
58 | ::tkdnd::generic::initialise_platform_to_tkdnd_types [list \
59 | NSPasteboardTypeString DND_Text \
60 | NSFilenamesPboardType DND_Files \
61 | NSPasteboardTypeHTML DND_HTML \
62 | ]
63 | };# initialise
64 |
65 | };# namespace macdnd
66 |
67 | # ----------------------------------------------------------------------------
68 | # Command macdnd::HandleEnter
69 | # ----------------------------------------------------------------------------
70 | proc macdnd::HandleEnter { path drag_source typelist { data {} } } {
71 | variable _pressedkeys
72 | variable _actionlist
73 | set _pressedkeys 1
74 | set _actionlist { copy move link ask private }
75 | ::tkdnd::generic::SetDroppedData $data
76 | ::tkdnd::generic::HandleEnter $path $drag_source $typelist $typelist \
77 | $_actionlist $_pressedkeys
78 | };# macdnd::HandleEnter
79 |
80 | # ----------------------------------------------------------------------------
81 | # Command macdnd::HandlePosition
82 | # ----------------------------------------------------------------------------
83 | proc macdnd::HandlePosition { drop_target rootX rootY {drag_source {}} } {
84 | variable _pressedkeys
85 | variable _last_mouse_root_x; set _last_mouse_root_x $rootX
86 | variable _last_mouse_root_y; set _last_mouse_root_y $rootY
87 | ::tkdnd::generic::HandlePosition $drop_target $drag_source \
88 | $_pressedkeys $rootX $rootY
89 | };# macdnd::HandlePosition
90 |
91 | # ----------------------------------------------------------------------------
92 | # Command macdnd::HandleLeave
93 | # ----------------------------------------------------------------------------
94 | proc macdnd::HandleLeave { args } {
95 | ::tkdnd::generic::HandleLeave
96 | };# macdnd::HandleLeave
97 |
98 | # ----------------------------------------------------------------------------
99 | # Command macdnd::HandleDrop
100 | # ----------------------------------------------------------------------------
101 | proc macdnd::HandleDrop { drop_target data args } {
102 | variable _pressedkeys
103 | variable _last_mouse_root_x
104 | variable _last_mouse_root_y
105 | ## Get the dropped data...
106 | ::tkdnd::generic::SetDroppedData $data
107 | ::tkdnd::generic::HandleDrop {} {} $_pressedkeys \
108 | $_last_mouse_root_x $_last_mouse_root_y 0
109 | };# macdnd::HandleDrop
110 |
111 | # ----------------------------------------------------------------------------
112 | # Command macdnd::GetDragSourceCommonTypes
113 | # ----------------------------------------------------------------------------
114 | proc macdnd::GetDragSourceCommonTypes { } {
115 | ::tkdnd::generic::GetDragSourceCommonTypes
116 | };# macdnd::GetDragSourceCommonTypes
117 |
118 | # ----------------------------------------------------------------------------
119 | # Command macdnd::platform_specific_types
120 | # ----------------------------------------------------------------------------
121 | proc macdnd::platform_specific_types { types } {
122 | ::tkdnd::generic::platform_specific_types $types
123 | }; # macdnd::platform_specific_types
124 |
125 | # ----------------------------------------------------------------------------
126 | # Command macdnd::platform_specific_type
127 | # ----------------------------------------------------------------------------
128 | proc macdnd::platform_specific_type { type } {
129 | ::tkdnd::generic::platform_specific_type $type
130 | }; # macdnd::platform_specific_type
131 |
132 | # ----------------------------------------------------------------------------
133 | # Command tkdnd::platform_independent_types
134 | # ----------------------------------------------------------------------------
135 | proc ::tkdnd::platform_independent_types { types } {
136 | ::tkdnd::generic::platform_independent_types $types
137 | }; # tkdnd::platform_independent_types
138 |
139 | # ----------------------------------------------------------------------------
140 | # Command macdnd::platform_independent_type
141 | # ----------------------------------------------------------------------------
142 | proc macdnd::platform_independent_type { type } {
143 | ::tkdnd::generic::platform_independent_type $type
144 | }; # macdnd::platform_independent_type
145 |
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/win64/libtkdnd2.9.2.dll:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/Anjok07/ultimatevocalremovergui/5517e0cf0d1acd16a1618eeedec596957523f9e1/gui_data/tkinterdnd2/tkdnd/win64/libtkdnd2.9.2.dll
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/win64/pkgIndex.tcl:
--------------------------------------------------------------------------------
1 | package ifneeded tkdnd 2.9.2 \
2 | "source \{$dir/tkdnd.tcl\} ; \
3 | tkdnd::initialise \{$dir\} libtkdnd2.9.2[info sharedlibextension] tkdnd"
4 |
5 | package ifneeded tkdnd::utils 2.9.2 \
6 | "source \{$dir/tkdnd_utils.tcl\} ; \
7 | package provide tkdnd::utils 2.9.2"
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/win64/tkdnd2.9.2.lib:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/Anjok07/ultimatevocalremovergui/5517e0cf0d1acd16a1618eeedec596957523f9e1/gui_data/tkinterdnd2/tkdnd/win64/tkdnd2.9.2.lib
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/win64/tkdnd_compat.tcl:
--------------------------------------------------------------------------------
1 | #
2 | # tkdnd_compat.tcl --
3 | #
4 | # This file implements some utility procedures, to support older versions
5 | # of the TkDND package.
6 | #
7 | # This software is copyrighted by:
8 | # George Petasis, National Centre for Scientific Research "Demokritos",
9 | # Aghia Paraskevi, Athens, Greece.
10 | # e-mail: petasis@iit.demokritos.gr
11 | #
12 | # The following terms apply to all files associated
13 | # with the software unless explicitly disclaimed in individual files.
14 | #
15 | # The authors hereby grant permission to use, copy, modify, distribute,
16 | # and license this software and its documentation for any purpose, provided
17 | # that existing copyright notices are retained in all copies and that this
18 | # notice is included verbatim in any distributions. No written agreement,
19 | # license, or royalty fee is required for any of the authorized uses.
20 | # Modifications to this software may be copyrighted by their authors
21 | # and need not follow the licensing terms described here, provided that
22 | # the new terms are clearly indicated on the first page of each file where
23 | # they apply.
24 | #
25 | # IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
26 | # FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
27 | # ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
28 | # DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
29 | # POSSIBILITY OF SUCH DAMAGE.
30 | #
31 | # THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
32 | # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY,
33 | # FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE
34 | # IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE
35 | # NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR
36 | # MODIFICATIONS.
37 | #
38 |
39 | namespace eval compat {
40 |
41 | };# namespace compat
42 |
43 | # ----------------------------------------------------------------------------
44 | # Command ::dnd
45 | # ----------------------------------------------------------------------------
46 | proc ::dnd {method window args} {
47 | switch $method {
48 | bindtarget {
49 | switch [llength $args] {
50 | 0 {return [tkdnd::compat::bindtarget0 $window]}
51 | 1 {return [tkdnd::compat::bindtarget1 $window [lindex $args 0]]}
52 | 2 {return [tkdnd::compat::bindtarget2 $window [lindex $args 0] \
53 | [lindex $args 1]]}
54 | 3 {return [tkdnd::compat::bindtarget3 $window [lindex $args 0] \
55 | [lindex $args 1] [lindex $args 2]]}
56 | 4 {return [tkdnd::compat::bindtarget4 $window [lindex $args 0] \
57 | [lindex $args 1] [lindex $args 2] [lindex $args 3]]}
58 | }
59 | }
60 | cleartarget {
61 | return [tkdnd::compat::cleartarget $window]
62 | }
63 | bindsource {
64 | switch [llength $args] {
65 | 0 {return [tkdnd::compat::bindsource0 $window]}
66 | 1 {return [tkdnd::compat::bindsource1 $window [lindex $args 0]]}
67 | 2 {return [tkdnd::compat::bindsource2 $window [lindex $args 0] \
68 | [lindex $args 1]]}
69 | 3 {return [tkdnd::compat::bindsource3 $window [lindex $args 0] \
70 | [lindex $args 1] [lindex $args 2]]}
71 | }
72 | }
73 | clearsource {
74 | return [tkdnd::compat::clearsource $window]
75 | }
76 | drag {
77 | return [tkdnd::_init_drag 1 $window "press" 0 0 0 0]
78 | }
79 | }
80 | error "invalid number of arguments!"
81 | };# ::dnd
82 |
83 | # ----------------------------------------------------------------------------
84 | # Command compat::bindtarget
85 | # ----------------------------------------------------------------------------
86 | proc compat::bindtarget0 {window} {
87 | return [bind $window <<DropTargetTypes>>]
88 | };# compat::bindtarget0
89 |
90 | proc compat::bindtarget1 {window type} {
91 | return [bindtarget2 $window $type <Drop>]
92 | };# compat::bindtarget1
93 |
94 | proc compat::bindtarget2 {window type event} {
95 | switch $event {
96 | <DragEnter> {return [bind $window <<DropEnter>>]}
97 | <Drag> {return [bind $window <<DropPosition>>]}
98 | <DragLeave> {return [bind $window <<DropLeave>>]}
99 | <Drop> {return [bind $window <<Drop>>]}
100 | }
101 | };# compat::bindtarget2
102 |
103 | proc compat::bindtarget3 {window type event script} {
104 | set type [normalise_type $type]
105 | ::tkdnd::drop_target register $window [list $type]
106 | switch $event {
107 | <DragEnter> {return [bind $window <<DropEnter>> $script]}
108 | <Drag> {return [bind $window <<DropPosition>> $script]}
109 | <DragLeave> {return [bind $window <<DropLeave>> $script]}
110 | <Drop> {return [bind $window <<Drop>> $script]}
111 | }
112 | };# compat::bindtarget3
113 |
114 | proc compat::bindtarget4 {window type event script priority} {
115 | return [bindtarget3 $window $type $event $script]
116 | };# compat::bindtarget4
117 |
118 | proc compat::normalise_type { type } {
119 | switch $type {
120 | text/plain -
121 | {text/plain;charset=UTF-8} -
122 | Text {return DND_Text}
123 | text/uri-list -
124 | Files {return DND_Files}
125 | default {return $type}
126 | }
127 | };# compat::normalise_type
128 |
129 | # ----------------------------------------------------------------------------
130 | # Command compat::bindsource
131 | # ----------------------------------------------------------------------------
132 | proc compat::bindsource0 {window} {
133 | return [bind $window <<DropTargetTypes>>]
134 | };# compat::bindsource0
135 |
136 | proc compat::bindsource1 {window type} {
137 | return [bindsource2 $window $type <Drop>]
138 | };# compat::bindsource1
139 |
140 | proc compat::bindsource2 {window type script} {
141 | set type [normalise_type $type]
142 | ::tkdnd::drag_source register $window $type
143 | bind $window <<DragInitCmd>> "list {copy} {%t} \[$script\]"
144 | };# compat::bindsource2
145 |
146 | proc compat::bindsource3 {window type script priority} {
147 | return [bindsource2 $window $type $script]
148 | };# compat::bindsource3
149 |
150 | # ----------------------------------------------------------------------------
151 | # Command compat::cleartarget
152 | # ----------------------------------------------------------------------------
153 | proc compat::cleartarget {window} {
154 | };# compat::cleartarget
155 |
156 | # ----------------------------------------------------------------------------
157 | # Command compat::clearsource
158 | # ----------------------------------------------------------------------------
159 | proc compat::clearsource {window} {
160 | };# compat::clearsource
161 |
--------------------------------------------------------------------------------
/gui_data/tkinterdnd2/tkdnd/win64/tkdnd_macosx.tcl:
--------------------------------------------------------------------------------
1 | #
2 | # tkdnd_macosx.tcl --
3 | #
4 | # This file implements some utility procedures that are used by the TkDND
5 | # package.
6 |
7 | # This software is copyrighted by:
8 | # Georgios Petasis, Athens, Greece.
9 | # e-mail: petasisg@yahoo.gr, petasis@iit.demokritos.gr
10 | #
11 | # Mac portions (c) 2009 Kevin Walzer/WordTech Communications LLC,
12 | # kw@codebykevin.com
13 | #
14 | #
15 | # The following terms apply to all files associated
16 | # with the software unless explicitly disclaimed in individual files.
17 | #
18 | # The authors hereby grant permission to use, copy, modify, distribute,
19 | # and license this software and its documentation for any purpose, provided
20 | # that existing copyright notices are retained in all copies and that this
21 | # notice is included verbatim in any distributions. No written agreement,
22 | # license, or royalty fee is required for any of the authorized uses.
23 | # Modifications to this software may be copyrighted by their authors
24 | # and need not follow the licensing terms described here, provided that
25 | # the new terms are clearly indicated on the first page of each file where
26 | # they apply.
27 | #
28 | # IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
29 | # FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
30 | # ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
31 | # DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
32 | # POSSIBILITY OF SUCH DAMAGE.
33 | #
34 | # THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
35 | # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY,
36 | # FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE
37 | # IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE
38 | # NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR
39 | # MODIFICATIONS.
40 | #
41 |
42 | #basic API for Mac Drag and Drop
43 |
44 | #two data types supported: strings and file paths
45 |
46 | #two commands at C level: ::tkdnd::macdnd::registerdragwidget, ::tkdnd::macdnd::unregisterdragwidget
47 |
48 | #data retrieval mechanism: text or file paths are copied from drag clipboard to system clipboard and retrieved via [clipboard get]; array of file paths is converted to single tab-separated string, can be split into Tcl list
49 |
50 | if {[tk windowingsystem] eq "aqua" && "AppKit" ni [winfo server .]} {
51 | error {TkAqua Cocoa required}
52 | }
53 |
54 | namespace eval macdnd {
55 |
56 | proc initialise { } {
57 | ## Mapping from platform types to TkDND types...
58 | ::tkdnd::generic::initialise_platform_to_tkdnd_types [list \
59 | NSPasteboardTypeString DND_Text \
60 | NSFilenamesPboardType DND_Files \
61 | NSPasteboardTypeHTML DND_HTML \
62 | ]
63 | };# initialise
64 |
65 | };# namespace macdnd
66 |
67 | # ----------------------------------------------------------------------------
68 | # Command macdnd::HandleEnter
69 | # ----------------------------------------------------------------------------
70 | proc macdnd::HandleEnter { path drag_source typelist { data {} } } {
71 | variable _pressedkeys
72 | variable _actionlist
73 | set _pressedkeys 1
74 | set _actionlist { copy move link ask private }
75 | ::tkdnd::generic::SetDroppedData $data
76 | ::tkdnd::generic::HandleEnter $path $drag_source $typelist $typelist \
77 | $_actionlist $_pressedkeys
78 | };# macdnd::HandleEnter
79 |
80 | # ----------------------------------------------------------------------------
81 | # Command macdnd::HandlePosition
82 | # ----------------------------------------------------------------------------
83 | proc macdnd::HandlePosition { drop_target rootX rootY {drag_source {}} } {
84 | variable _pressedkeys
85 | variable _last_mouse_root_x; set _last_mouse_root_x $rootX
86 | variable _last_mouse_root_y; set _last_mouse_root_y $rootY
87 | ::tkdnd::generic::HandlePosition $drop_target $drag_source \
88 | $_pressedkeys $rootX $rootY
89 | };# macdnd::HandlePosition
90 |
91 | # ----------------------------------------------------------------------------
92 | # Command macdnd::HandleLeave
93 | # ----------------------------------------------------------------------------
94 | proc macdnd::HandleLeave { args } {
95 | ::tkdnd::generic::HandleLeave
96 | };# macdnd::HandleLeave
97 |
98 | # ----------------------------------------------------------------------------
99 | # Command macdnd::HandleDrop
100 | # ----------------------------------------------------------------------------
101 | proc macdnd::HandleDrop { drop_target data args } {
102 | variable _pressedkeys
103 | variable _last_mouse_root_x
104 | variable _last_mouse_root_y
105 | ## Get the dropped data...
106 | ::tkdnd::generic::SetDroppedData $data
107 | ::tkdnd::generic::HandleDrop {} {} $_pressedkeys \
108 | $_last_mouse_root_x $_last_mouse_root_y 0
109 | };# macdnd::HandleDrop
110 |
111 | # ----------------------------------------------------------------------------
112 | # Command macdnd::GetDragSourceCommonTypes
113 | # ----------------------------------------------------------------------------
114 | proc macdnd::GetDragSourceCommonTypes { } {
115 | ::tkdnd::generic::GetDragSourceCommonTypes
116 | };# macdnd::GetDragSourceCommonTypes
117 |
118 | # ----------------------------------------------------------------------------
119 | # Command macdnd::platform_specific_types
120 | # ----------------------------------------------------------------------------
121 | proc macdnd::platform_specific_types { types } {
122 | ::tkdnd::generic::platform_specific_types $types
123 | }; # macdnd::platform_specific_types
124 |
125 | # ----------------------------------------------------------------------------
126 | # Command macdnd::platform_specific_type
127 | # ----------------------------------------------------------------------------
128 | proc macdnd::platform_specific_type { type } {
129 | ::tkdnd::generic::platform_specific_type $type
130 | }; # macdnd::platform_specific_type
131 |
132 | # ----------------------------------------------------------------------------
133 | # Command tkdnd::platform_independent_types
134 | # ----------------------------------------------------------------------------
135 | proc ::tkdnd::platform_independent_types { types } {
136 | ::tkdnd::generic::platform_independent_types $types
137 | }; # tkdnd::platform_independent_types
138 |
139 | # ----------------------------------------------------------------------------
140 | # Command macdnd::platform_independent_type
141 | # ----------------------------------------------------------------------------
142 | proc macdnd::platform_independent_type { type } {
143 | ::tkdnd::generic::platform_independent_type $type
144 | }; # macdnd::platform_independent_type
145 |
--------------------------------------------------------------------------------
/install_packages.sh:
--------------------------------------------------------------------------------
1 | #!/bin/bash
2 |
3 | while read package; do
4 | pip install "$package"
5 | done < requirements.txt
6 |
--------------------------------------------------------------------------------
/lib_v5/mdxnet.py:
--------------------------------------------------------------------------------
1 | import torch
2 | import torch.nn as nn
3 | from .modules import TFC_TDF
4 | from pytorch_lightning import LightningModule
5 |
6 | dim_s = 4
7 |
8 | class AbstractMDXNet(LightningModule):
9 | def __init__(self, target_name, lr, optimizer, dim_c, dim_f, dim_t, n_fft, hop_length, overlap):
10 | super().__init__()
11 | self.target_name = target_name
12 | self.lr = lr
13 | self.optimizer = optimizer
14 | self.dim_c = dim_c
15 | self.dim_f = dim_f
16 | self.dim_t = dim_t
17 | self.n_fft = n_fft
18 | self.n_bins = n_fft // 2 + 1
19 | self.hop_length = hop_length
20 | self.window = nn.Parameter(torch.hann_window(window_length=self.n_fft, periodic=True), requires_grad=False)
21 | self.freq_pad = nn.Parameter(torch.zeros([1, dim_c, self.n_bins - self.dim_f, self.dim_t]), requires_grad=False)
22 |
23 | def get_optimizer(self):
24 | if self.optimizer == 'rmsprop':
25 | return torch.optim.RMSprop(self.parameters(), self.lr)
26 |
27 | if self.optimizer == 'adamw':
28 | return torch.optim.AdamW(self.parameters(), self.lr)
29 |
30 | class ConvTDFNet(AbstractMDXNet):
31 | def __init__(self, target_name, lr, optimizer, dim_c, dim_f, dim_t, n_fft, hop_length,
32 | num_blocks, l, g, k, bn, bias, overlap):
33 |
34 | super(ConvTDFNet, self).__init__(
35 | target_name, lr, optimizer, dim_c, dim_f, dim_t, n_fft, hop_length, overlap)
36 | #self.save_hyperparameters()
37 |
38 | self.num_blocks = num_blocks
39 | self.l = l
40 | self.g = g
41 | self.k = k
42 | self.bn = bn
43 | self.bias = bias
44 |
45 | if optimizer == 'rmsprop':
46 | norm = nn.BatchNorm2d
47 |
48 | if optimizer == 'adamw':
49 | norm = lambda input:nn.GroupNorm(2, input)
50 |
51 | self.n = num_blocks // 2
52 | scale = (2, 2)
53 |
54 | self.first_conv = nn.Sequential(
55 | nn.Conv2d(in_channels=self.dim_c, out_channels=g, kernel_size=(1, 1)),
56 | norm(g),
57 | nn.ReLU(),
58 | )
59 |
60 | f = self.dim_f
61 | c = g
62 | self.encoding_blocks = nn.ModuleList()
63 | self.ds = nn.ModuleList()
64 | for i in range(self.n):
65 | self.encoding_blocks.append(TFC_TDF(c, l, f, k, bn, bias=bias, norm=norm))
66 | self.ds.append(
67 | nn.Sequential(
68 | nn.Conv2d(in_channels=c, out_channels=c + g, kernel_size=scale, stride=scale),
69 | norm(c + g),
70 | nn.ReLU()
71 | )
72 | )
73 | f = f // 2
74 | c += g
75 |
76 | self.bottleneck_block = TFC_TDF(c, l, f, k, bn, bias=bias, norm=norm)
77 |
78 | self.decoding_blocks = nn.ModuleList()
79 | self.us = nn.ModuleList()
80 | for i in range(self.n):
81 | self.us.append(
82 | nn.Sequential(
83 | nn.ConvTranspose2d(in_channels=c, out_channels=c - g, kernel_size=scale, stride=scale),
84 | norm(c - g),
85 | nn.ReLU()
86 | )
87 | )
88 | f = f * 2
89 | c -= g
90 |
91 | self.decoding_blocks.append(TFC_TDF(c, l, f, k, bn, bias=bias, norm=norm))
92 |
93 | self.final_conv = nn.Sequential(
94 | nn.Conv2d(in_channels=c, out_channels=self.dim_c, kernel_size=(1, 1)),
95 | )
96 |
97 | def forward(self, x):
98 |
99 | x = self.first_conv(x)
100 |
101 | x = x.transpose(-1, -2)
102 |
103 | ds_outputs = []
104 | for i in range(self.n):
105 | x = self.encoding_blocks[i](x)
106 | ds_outputs.append(x)
107 | x = self.ds[i](x)
108 |
109 | x = self.bottleneck_block(x)
110 |
111 | for i in range(self.n):
112 | x = self.us[i](x)
113 | x *= ds_outputs[-i - 1]
114 | x = self.decoding_blocks[i](x)
115 |
116 | x = x.transpose(-1, -2)
117 |
118 | x = self.final_conv(x)
119 |
120 | return x
121 |
122 | class Mixer(nn.Module):
123 | def __init__(self, device, mixer_path):
124 |
125 | super(Mixer, self).__init__()
126 |
127 | self.linear = nn.Linear((dim_s+1)*2, dim_s*2, bias=False)
128 |
129 | self.load_state_dict(
130 | torch.load(mixer_path, map_location=device)
131 | )
132 |
133 | def forward(self, x):
134 | x = x.reshape(1,(dim_s+1)*2,-1).transpose(-1,-2)
135 | x = self.linear(x)
136 | return x.transpose(-1,-2).reshape(dim_s,2,-1)
--------------------------------------------------------------------------------
/lib_v5/mixer.ckpt:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/Anjok07/ultimatevocalremovergui/5517e0cf0d1acd16a1618eeedec596957523f9e1/lib_v5/mixer.ckpt
--------------------------------------------------------------------------------
/lib_v5/modules.py:
--------------------------------------------------------------------------------
1 | import torch
2 | import torch.nn as nn
3 |
4 |
5 | class TFC(nn.Module):
6 | def __init__(self, c, l, k, norm):
7 | super(TFC, self).__init__()
8 |
9 | self.H = nn.ModuleList()
10 | for i in range(l):
11 | self.H.append(
12 | nn.Sequential(
13 | nn.Conv2d(in_channels=c, out_channels=c, kernel_size=k, stride=1, padding=k // 2),
14 | norm(c),
15 | nn.ReLU(),
16 | )
17 | )
18 |
19 | def forward(self, x):
20 | for h in self.H:
21 | x = h(x)
22 | return x
23 |
24 |
25 | class DenseTFC(nn.Module):
26 | def __init__(self, c, l, k, norm):
27 | super(DenseTFC, self).__init__()
28 |
29 | self.conv = nn.ModuleList()
30 | for i in range(l):
31 | self.conv.append(
32 | nn.Sequential(
33 | nn.Conv2d(in_channels=c, out_channels=c, kernel_size=k, stride=1, padding=k // 2),
34 | norm(c),
35 | nn.ReLU(),
36 | )
37 | )
38 |
39 | def forward(self, x):
40 | for layer in self.conv[:-1]:
41 | x = torch.cat([layer(x), x], 1)
42 | return self.conv[-1](x)
43 |
44 |
45 | class TFC_TDF(nn.Module):
46 | def __init__(self, c, l, f, k, bn, dense=False, bias=True, norm=nn.BatchNorm2d):
47 |
48 | super(TFC_TDF, self).__init__()
49 |
50 | self.use_tdf = bn is not None
51 |
52 | self.tfc = DenseTFC(c, l, k, norm) if dense else TFC(c, l, k, norm)
53 |
54 | if self.use_tdf:
55 | if bn == 0:
56 | self.tdf = nn.Sequential(
57 | nn.Linear(f, f, bias=bias),
58 | norm(c),
59 | nn.ReLU()
60 | )
61 | else:
62 | self.tdf = nn.Sequential(
63 | nn.Linear(f, f // bn, bias=bias),
64 | norm(c),
65 | nn.ReLU(),
66 | nn.Linear(f // bn, f, bias=bias),
67 | norm(c),
68 | nn.ReLU()
69 | )
70 |
71 | def forward(self, x):
72 | x = self.tfc(x)
73 | return x + self.tdf(x) if self.use_tdf else x
74 |
75 |
--------------------------------------------------------------------------------
/lib_v5/pyrb.py:
--------------------------------------------------------------------------------
1 | import os
2 | import subprocess
3 | import tempfile
4 | import six
5 | import numpy as np
6 | import soundfile as sf
7 | import sys
8 |
9 | if getattr(sys, 'frozen', False):
10 | BASE_PATH_RUB = sys._MEIPASS
11 | else:
12 | BASE_PATH_RUB = os.path.dirname(os.path.abspath(__file__))
13 |
14 | __all__ = ['time_stretch', 'pitch_shift']
15 |
16 | __RUBBERBAND_UTIL = os.path.join(BASE_PATH_RUB, 'rubberband')
17 |
18 | if six.PY2:
19 | DEVNULL = open(os.devnull, 'w')
20 | else:
21 | DEVNULL = subprocess.DEVNULL
22 |
23 | def __rubberband(y, sr, **kwargs):
24 |
25 | assert sr > 0
26 |
27 | # Get the input and output tempfile
28 | fd, infile = tempfile.mkstemp(suffix='.wav')
29 | os.close(fd)
30 | fd, outfile = tempfile.mkstemp(suffix='.wav')
31 | os.close(fd)
32 |
33 | # dump the audio
34 | sf.write(infile, y, sr)
35 |
36 | try:
37 | # Execute rubberband
38 | arguments = [__RUBBERBAND_UTIL, '-q']
39 |
40 | for key, value in six.iteritems(kwargs):
41 | arguments.append(str(key))
42 | arguments.append(str(value))
43 |
44 | arguments.extend([infile, outfile])
45 |
46 | subprocess.check_call(arguments, stdout=DEVNULL, stderr=DEVNULL)
47 |
48 | # Load the processed audio.
49 | y_out, _ = sf.read(outfile, always_2d=True)
50 |
51 | # make sure that output dimensions matches input
52 | if y.ndim == 1:
53 | y_out = np.squeeze(y_out)
54 |
55 | except OSError as exc:
56 | six.raise_from(RuntimeError('Failed to execute rubberband. '
57 | 'Please verify that rubberband-cli '
58 | 'is installed.'),
59 | exc)
60 |
61 | finally:
62 | # Remove temp files
63 | os.unlink(infile)
64 | os.unlink(outfile)
65 |
66 | return y_out
67 |
68 | def time_stretch(y, sr, rate, rbargs=None):
69 | if rate <= 0:
70 | raise ValueError('rate must be strictly positive')
71 |
72 | if rate == 1.0:
73 | return y
74 |
75 | if rbargs is None:
76 | rbargs = dict()
77 |
78 | rbargs.setdefault('--tempo', rate)
79 |
80 | return __rubberband(y, sr, **rbargs)
81 |
82 | def pitch_shift(y, sr, n_steps, rbargs=None):
83 |
84 | if n_steps == 0:
85 | return y
86 |
87 | if rbargs is None:
88 | rbargs = dict()
89 |
90 | rbargs.setdefault('--pitch', n_steps)
91 |
92 | return __rubberband(y, sr, **rbargs)
93 |
--------------------------------------------------------------------------------
/lib_v5/results.py:
--------------------------------------------------------------------------------
1 | # -*- coding: utf-8 -*-
2 |
3 | """
4 | Matchering - Audio Matching and Mastering Python Library
5 | Copyright (C) 2016-2022 Sergree
6 |
7 | This program is free software: you can redistribute it and/or modify
8 | it under the terms of the GNU General Public License as published by
9 | the Free Software Foundation, either version 3 of the License, or
10 | (at your option) any later version.
11 |
12 | This program is distributed in the hope that it will be useful,
13 | but WITHOUT ANY WARRANTY; without even the implied warranty of
14 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 | GNU General Public License for more details.
16 |
17 | You should have received a copy of the GNU General Public License
18 | along with this program. If not, see <https://www.gnu.org/licenses/>.
19 | """
20 |
21 | import os
22 | import soundfile as sf
23 |
24 |
25 | class Result:
26 | def __init__(
27 | self, file: str, subtype: str, use_limiter: bool = True, normalize: bool = True
28 | ):
29 | _, file_ext = os.path.splitext(file)
30 | file_ext = file_ext[1:].upper()
31 | if not sf.check_format(file_ext):
32 | raise TypeError(f"{file_ext} format is not supported")
33 | if not sf.check_format(file_ext, subtype):
34 | raise TypeError(f"{file_ext} format does not have {subtype} subtype")
35 | self.file = file
36 | self.subtype = subtype
37 | self.use_limiter = use_limiter
38 | self.normalize = normalize
39 |
40 |
41 | def pcm16(file: str) -> Result:
42 | return Result(file, "PCM_16")
43 |
44 | def pcm24(file: str) -> Result:
45 | return Result(file, "FLOAT")
46 |
47 | def save_audiofile(file: str, wav_set="PCM_16") -> Result:
48 | return Result(file, wav_set)
49 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/__init__.py:
--------------------------------------------------------------------------------
1 | # VR init.
2 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/layers.py:
--------------------------------------------------------------------------------
1 | import torch
2 | from torch import nn
3 | import torch.nn.functional as F
4 |
5 | from lib_v5 import spec_utils
6 |
7 | class Conv2DBNActiv(nn.Module):
8 |
9 | def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
10 | super(Conv2DBNActiv, self).__init__()
11 | self.conv = nn.Sequential(
12 | nn.Conv2d(
13 | nin, nout,
14 | kernel_size=ksize,
15 | stride=stride,
16 | padding=pad,
17 | dilation=dilation,
18 | bias=False),
19 | nn.BatchNorm2d(nout),
20 | activ()
21 | )
22 |
23 | def __call__(self, x):
24 | return self.conv(x)
25 |
26 | class SeperableConv2DBNActiv(nn.Module):
27 |
28 | def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
29 | super(SeperableConv2DBNActiv, self).__init__()
30 | self.conv = nn.Sequential(
31 | nn.Conv2d(
32 | nin, nin,
33 | kernel_size=ksize,
34 | stride=stride,
35 | padding=pad,
36 | dilation=dilation,
37 | groups=nin,
38 | bias=False),
39 | nn.Conv2d(
40 | nin, nout,
41 | kernel_size=1,
42 | bias=False),
43 | nn.BatchNorm2d(nout),
44 | activ()
45 | )
46 |
47 | def __call__(self, x):
48 | return self.conv(x)
49 |
50 |
51 | class Encoder(nn.Module):
52 |
53 | def __init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU):
54 | super(Encoder, self).__init__()
55 | self.conv1 = Conv2DBNActiv(nin, nout, ksize, 1, pad, activ=activ)
56 | self.conv2 = Conv2DBNActiv(nout, nout, ksize, stride, pad, activ=activ)
57 |
58 | def __call__(self, x):
59 | skip = self.conv1(x)
60 | h = self.conv2(skip)
61 |
62 | return h, skip
63 |
64 |
65 | class Decoder(nn.Module):
66 |
67 | def __init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.ReLU, dropout=False):
68 | super(Decoder, self).__init__()
69 | self.conv = Conv2DBNActiv(nin, nout, ksize, 1, pad, activ=activ)
70 | self.dropout = nn.Dropout2d(0.1) if dropout else None
71 |
72 | def __call__(self, x, skip=None):
73 | x = F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=True)
74 | if skip is not None:
75 | skip = spec_utils.crop_center(skip, x)
76 | x = torch.cat([x, skip], dim=1)
77 | h = self.conv(x)
78 |
79 | if self.dropout is not None:
80 | h = self.dropout(h)
81 |
82 | return h
83 |
84 |
85 | class ASPPModule(nn.Module):
86 |
87 | def __init__(self, nn_architecture, nin, nout, dilations=(4, 8, 16), activ=nn.ReLU):
88 | super(ASPPModule, self).__init__()
89 | self.conv1 = nn.Sequential(
90 | nn.AdaptiveAvgPool2d((1, None)),
91 | Conv2DBNActiv(nin, nin, 1, 1, 0, activ=activ)
92 | )
93 |
94 | self.nn_architecture = nn_architecture
95 | self.six_layer = [129605]
96 | self.seven_layer = [537238, 537227, 33966]
97 |
98 | extra_conv = SeperableConv2DBNActiv(
99 | nin, nin, 3, 1, dilations[2], dilations[2], activ=activ)
100 |
101 | self.conv2 = Conv2DBNActiv(nin, nin, 1, 1, 0, activ=activ)
102 | self.conv3 = SeperableConv2DBNActiv(
103 | nin, nin, 3, 1, dilations[0], dilations[0], activ=activ)
104 | self.conv4 = SeperableConv2DBNActiv(
105 | nin, nin, 3, 1, dilations[1], dilations[1], activ=activ)
106 | self.conv5 = SeperableConv2DBNActiv(
107 | nin, nin, 3, 1, dilations[2], dilations[2], activ=activ)
108 |
109 | if self.nn_architecture in self.six_layer:
110 | self.conv6 = extra_conv
111 | nin_x = 6
112 | elif self.nn_architecture in self.seven_layer:
113 | self.conv6 = extra_conv
114 | self.conv7 = extra_conv
115 | nin_x = 7
116 | else:
117 | nin_x = 5
118 |
119 | self.bottleneck = nn.Sequential(
120 | Conv2DBNActiv(nin * nin_x, nout, 1, 1, 0, activ=activ),
121 | nn.Dropout2d(0.1)
122 | )
123 |
124 | def forward(self, x):
125 | _, _, h, w = x.size()
126 | feat1 = F.interpolate(self.conv1(x), size=(h, w), mode='bilinear', align_corners=True)
127 | feat2 = self.conv2(x)
128 | feat3 = self.conv3(x)
129 | feat4 = self.conv4(x)
130 | feat5 = self.conv5(x)
131 |
132 | if self.nn_architecture in self.six_layer:
133 | feat6 = self.conv6(x)
134 | out = torch.cat((feat1, feat2, feat3, feat4, feat5, feat6), dim=1)
135 | elif self.nn_architecture in self.seven_layer:
136 | feat6 = self.conv6(x)
137 | feat7 = self.conv7(x)
138 | out = torch.cat((feat1, feat2, feat3, feat4, feat5, feat6, feat7), dim=1)
139 | else:
140 | out = torch.cat((feat1, feat2, feat3, feat4, feat5), dim=1)
141 |
142 | bottle = self.bottleneck(out)
143 | return bottle
144 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/layers_new.py:
--------------------------------------------------------------------------------
1 | import torch
2 | from torch import nn
3 | import torch.nn.functional as F
4 |
5 | from lib_v5 import spec_utils
6 |
7 | class Conv2DBNActiv(nn.Module):
8 |
9 | def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
10 | super(Conv2DBNActiv, self).__init__()
11 | self.conv = nn.Sequential(
12 | nn.Conv2d(
13 | nin, nout,
14 | kernel_size=ksize,
15 | stride=stride,
16 | padding=pad,
17 | dilation=dilation,
18 | bias=False),
19 | nn.BatchNorm2d(nout),
20 | activ()
21 | )
22 |
23 | def __call__(self, x):
24 | return self.conv(x)
25 |
26 | class Encoder(nn.Module):
27 |
28 | def __init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU):
29 | super(Encoder, self).__init__()
30 | self.conv1 = Conv2DBNActiv(nin, nout, ksize, stride, pad, activ=activ)
31 | self.conv2 = Conv2DBNActiv(nout, nout, ksize, 1, pad, activ=activ)
32 |
33 | def __call__(self, x):
34 | h = self.conv1(x)
35 | h = self.conv2(h)
36 |
37 | return h
38 |
39 |
40 | class Decoder(nn.Module):
41 |
42 | def __init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.ReLU, dropout=False):
43 | super(Decoder, self).__init__()
44 | self.conv1 = Conv2DBNActiv(nin, nout, ksize, 1, pad, activ=activ)
45 | # self.conv2 = Conv2DBNActiv(nout, nout, ksize, 1, pad, activ=activ)
46 | self.dropout = nn.Dropout2d(0.1) if dropout else None
47 |
48 | def __call__(self, x, skip=None):
49 | x = F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=True)
50 |
51 | if skip is not None:
52 | skip = spec_utils.crop_center(skip, x)
53 | x = torch.cat([x, skip], dim=1)
54 |
55 | h = self.conv1(x)
56 | # h = self.conv2(h)
57 |
58 | if self.dropout is not None:
59 | h = self.dropout(h)
60 |
61 | return h
62 |
63 |
64 | class ASPPModule(nn.Module):
65 |
66 | def __init__(self, nin, nout, dilations=(4, 8, 12), activ=nn.ReLU, dropout=False):
67 | super(ASPPModule, self).__init__()
68 | self.conv1 = nn.Sequential(
69 | nn.AdaptiveAvgPool2d((1, None)),
70 | Conv2DBNActiv(nin, nout, 1, 1, 0, activ=activ)
71 | )
72 | self.conv2 = Conv2DBNActiv(nin, nout, 1, 1, 0, activ=activ)
73 | self.conv3 = Conv2DBNActiv(
74 | nin, nout, 3, 1, dilations[0], dilations[0], activ=activ
75 | )
76 | self.conv4 = Conv2DBNActiv(
77 | nin, nout, 3, 1, dilations[1], dilations[1], activ=activ
78 | )
79 | self.conv5 = Conv2DBNActiv(
80 | nin, nout, 3, 1, dilations[2], dilations[2], activ=activ
81 | )
82 | self.bottleneck = Conv2DBNActiv(nout * 5, nout, 1, 1, 0, activ=activ)
83 | self.dropout = nn.Dropout2d(0.1) if dropout else None
84 |
85 | def forward(self, x):
86 | _, _, h, w = x.size()
87 | feat1 = F.interpolate(self.conv1(x), size=(h, w), mode='bilinear', align_corners=True)
88 | feat2 = self.conv2(x)
89 | feat3 = self.conv3(x)
90 | feat4 = self.conv4(x)
91 | feat5 = self.conv5(x)
92 | out = torch.cat((feat1, feat2, feat3, feat4, feat5), dim=1)
93 | out = self.bottleneck(out)
94 |
95 | if self.dropout is not None:
96 | out = self.dropout(out)
97 |
98 | return out
99 |
100 |
101 | class LSTMModule(nn.Module):
102 |
103 | def __init__(self, nin_conv, nin_lstm, nout_lstm):
104 | super(LSTMModule, self).__init__()
105 | self.conv = Conv2DBNActiv(nin_conv, 1, 1, 1, 0)
106 | self.lstm = nn.LSTM(
107 | input_size=nin_lstm,
108 | hidden_size=nout_lstm // 2,
109 | bidirectional=True
110 | )
111 | self.dense = nn.Sequential(
112 | nn.Linear(nout_lstm, nin_lstm),
113 | nn.BatchNorm1d(nin_lstm),
114 | nn.ReLU()
115 | )
116 |
117 | def forward(self, x):
118 | N, _, nbins, nframes = x.size()
119 | h = self.conv(x)[:, 0] # N, nbins, nframes
120 | h = h.permute(2, 0, 1) # nframes, N, nbins
121 | h, _ = self.lstm(h)
122 | h = self.dense(h.reshape(-1, h.size()[-1])) # nframes * N, nbins
123 | h = h.reshape(nframes, N, 1, nbins)
124 | h = h.permute(1, 2, 3, 0)
125 |
126 | return h
127 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/model_param_init.py:
--------------------------------------------------------------------------------
1 | import json
2 |
3 | default_param = {}
4 | default_param['bins'] = -1
5 | default_param['unstable_bins'] = -1 # training only
6 | default_param['stable_bins'] = -1 # training only
7 | default_param['sr'] = 44100
8 | default_param['pre_filter_start'] = -1
9 | default_param['pre_filter_stop'] = -1
10 | default_param['band'] = {}
11 |
12 | N_BINS = 'n_bins'
13 |
14 | def int_keys(d):
15 | r = {}
16 | for k, v in d:
17 | if k.isdigit():
18 | k = int(k)
19 | r[k] = v
20 | return r
21 |
22 | class ModelParameters(object):
23 | def __init__(self, config_path=''):
24 | with open(config_path, 'r') as f:
25 | self.param = json.loads(f.read(), object_pairs_hook=int_keys)
26 |
27 | for k in ['mid_side', 'mid_side_b', 'mid_side_b2', 'stereo_w', 'stereo_n', 'reverse']:
28 | if not k in self.param:
29 | self.param[k] = False
30 |
31 | if N_BINS in self.param:
32 | self.param['bins'] = self.param[N_BINS]
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/1band_sr16000_hl512.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 1024,
3 | "unstable_bins": 0,
4 | "reduction_bins": 0,
5 | "band": {
6 | "1": {
7 | "sr": 16000,
8 | "hl": 512,
9 | "n_fft": 2048,
10 | "crop_start": 0,
11 | "crop_stop": 1024,
12 | "hpf_start": -1,
13 | "res_type": "sinc_best"
14 | }
15 | },
16 | "sr": 16000,
17 | "pre_filter_start": 1023,
18 | "pre_filter_stop": 1024
19 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/1band_sr32000_hl512.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 1024,
3 | "unstable_bins": 0,
4 | "reduction_bins": 0,
5 | "band": {
6 | "1": {
7 | "sr": 32000,
8 | "hl": 512,
9 | "n_fft": 2048,
10 | "crop_start": 0,
11 | "crop_stop": 1024,
12 | "hpf_start": -1,
13 | "res_type": "kaiser_fast"
14 | }
15 | },
16 | "sr": 32000,
17 | "pre_filter_start": 1000,
18 | "pre_filter_stop": 1021
19 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/1band_sr33075_hl384.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 1024,
3 | "unstable_bins": 0,
4 | "reduction_bins": 0,
5 | "band": {
6 | "1": {
7 | "sr": 33075,
8 | "hl": 384,
9 | "n_fft": 2048,
10 | "crop_start": 0,
11 | "crop_stop": 1024,
12 | "hpf_start": -1,
13 | "res_type": "sinc_best"
14 | }
15 | },
16 | "sr": 33075,
17 | "pre_filter_start": 1000,
18 | "pre_filter_stop": 1021
19 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/1band_sr44100_hl1024.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 1024,
3 | "unstable_bins": 0,
4 | "reduction_bins": 0,
5 | "band": {
6 | "1": {
7 | "sr": 44100,
8 | "hl": 1024,
9 | "n_fft": 2048,
10 | "crop_start": 0,
11 | "crop_stop": 1024,
12 | "hpf_start": -1,
13 | "res_type": "sinc_best"
14 | }
15 | },
16 | "sr": 44100,
17 | "pre_filter_start": 1023,
18 | "pre_filter_stop": 1024
19 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/1band_sr44100_hl256.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 256,
3 | "unstable_bins": 0,
4 | "reduction_bins": 0,
5 | "band": {
6 | "1": {
7 | "sr": 44100,
8 | "hl": 256,
9 | "n_fft": 512,
10 | "crop_start": 0,
11 | "crop_stop": 256,
12 | "hpf_start": -1,
13 | "res_type": "sinc_best"
14 | }
15 | },
16 | "sr": 44100,
17 | "pre_filter_start": 256,
18 | "pre_filter_stop": 256
19 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/1band_sr44100_hl512.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 1024,
3 | "unstable_bins": 0,
4 | "reduction_bins": 0,
5 | "band": {
6 | "1": {
7 | "sr": 44100,
8 | "hl": 512,
9 | "n_fft": 2048,
10 | "crop_start": 0,
11 | "crop_stop": 1024,
12 | "hpf_start": -1,
13 | "res_type": "sinc_best"
14 | }
15 | },
16 | "sr": 44100,
17 | "pre_filter_start": 1023,
18 | "pre_filter_stop": 1024
19 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/1band_sr44100_hl512_cut.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 1024,
3 | "unstable_bins": 0,
4 | "reduction_bins": 0,
5 | "band": {
6 | "1": {
7 | "sr": 44100,
8 | "hl": 512,
9 | "n_fft": 2048,
10 | "crop_start": 0,
11 | "crop_stop": 700,
12 | "hpf_start": -1,
13 | "res_type": "sinc_best"
14 | }
15 | },
16 | "sr": 44100,
17 | "pre_filter_start": 1023,
18 | "pre_filter_stop": 700
19 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/1band_sr44100_hl512_nf1024.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 512,
3 | "unstable_bins": 0,
4 | "reduction_bins": 0,
5 | "band": {
6 | "1": {
7 | "sr": 44100,
8 | "hl": 512,
9 | "n_fft": 1024,
10 | "crop_start": 0,
11 | "crop_stop": 512,
12 | "hpf_start": -1,
13 | "res_type": "sinc_best"
14 | }
15 | },
16 | "sr": 44100,
17 | "pre_filter_start": 511,
18 | "pre_filter_stop": 512
19 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/2band_32000.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 768,
3 | "unstable_bins": 7,
4 | "reduction_bins": 705,
5 | "band": {
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8 | "hl": 66,
9 | "n_fft": 512,
10 | "crop_start": 0,
11 | "crop_stop": 240,
12 | "lpf_start": 60,
13 | "lpf_stop": 118,
14 | "res_type": "sinc_fastest"
15 | },
16 | "2": {
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18 | "hl": 352,
19 | "n_fft": 1024,
20 | "crop_start": 22,
21 | "crop_stop": 505,
22 | "hpf_start": 44,
23 | "hpf_stop": 23,
24 | "res_type": "sinc_medium"
25 | }
26 | },
27 | "sr": 32000,
28 | "pre_filter_start": 710,
29 | "pre_filter_stop": 731
30 | }
31 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/2band_44100_lofi.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 512,
3 | "unstable_bins": 7,
4 | "reduction_bins": 510,
5 | "band": {
6 | "1": {
7 | "sr": 11025,
8 | "hl": 160,
9 | "n_fft": 768,
10 | "crop_start": 0,
11 | "crop_stop": 192,
12 | "lpf_start": 41,
13 | "lpf_stop": 139,
14 | "res_type": "sinc_fastest"
15 | },
16 | "2": {
17 | "sr": 44100,
18 | "hl": 640,
19 | "n_fft": 1024,
20 | "crop_start": 10,
21 | "crop_stop": 320,
22 | "hpf_start": 47,
23 | "hpf_stop": 15,
24 | "res_type": "sinc_medium"
25 | }
26 | },
27 | "sr": 44100,
28 | "pre_filter_start": 510,
29 | "pre_filter_stop": 512
30 | }
31 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/2band_48000.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 768,
3 | "unstable_bins": 7,
4 | "reduction_bins": 705,
5 | "band": {
6 | "1": {
7 | "sr": 6000,
8 | "hl": 66,
9 | "n_fft": 512,
10 | "crop_start": 0,
11 | "crop_stop": 240,
12 | "lpf_start": 60,
13 | "lpf_stop": 240,
14 | "res_type": "sinc_fastest"
15 | },
16 | "2": {
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18 | "hl": 528,
19 | "n_fft": 1536,
20 | "crop_start": 22,
21 | "crop_stop": 505,
22 | "hpf_start": 82,
23 | "hpf_stop": 22,
24 | "res_type": "sinc_medium"
25 | }
26 | },
27 | "sr": 48000,
28 | "pre_filter_start": 710,
29 | "pre_filter_stop": 731
30 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/3band_44100.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 768,
3 | "unstable_bins": 5,
4 | "reduction_bins": 733,
5 | "band": {
6 | "1": {
7 | "sr": 11025,
8 | "hl": 128,
9 | "n_fft": 768,
10 | "crop_start": 0,
11 | "crop_stop": 278,
12 | "lpf_start": 28,
13 | "lpf_stop": 140,
14 | "res_type": "polyphase"
15 | },
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18 | "hl": 256,
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20 | "crop_start": 14,
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22 | "hpf_start": 70,
23 | "hpf_stop": 14,
24 | "lpf_start": 283,
25 | "lpf_stop": 314,
26 | "res_type": "polyphase"
27 | },
28 | "3": {
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30 | "hl": 512,
31 | "n_fft": 768,
32 | "crop_start": 131,
33 | "crop_stop": 313,
34 | "hpf_start": 154,
35 | "hpf_stop": 141,
36 | "res_type": "sinc_medium"
37 | }
38 | },
39 | "sr": 44100,
40 | "pre_filter_start": 757,
41 | "pre_filter_stop": 768
42 | }
43 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/3band_44100_mid.json:
--------------------------------------------------------------------------------
1 | {
2 | "mid_side": true,
3 | "bins": 768,
4 | "unstable_bins": 5,
5 | "reduction_bins": 733,
6 | "band": {
7 | "1": {
8 | "sr": 11025,
9 | "hl": 128,
10 | "n_fft": 768,
11 | "crop_start": 0,
12 | "crop_stop": 278,
13 | "lpf_start": 28,
14 | "lpf_stop": 140,
15 | "res_type": "polyphase"
16 | },
17 | "2": {
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19 | "hl": 256,
20 | "n_fft": 768,
21 | "crop_start": 14,
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23 | "hpf_start": 70,
24 | "hpf_stop": 14,
25 | "lpf_start": 283,
26 | "lpf_stop": 314,
27 | "res_type": "polyphase"
28 | },
29 | "3": {
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31 | "hl": 512,
32 | "n_fft": 768,
33 | "crop_start": 131,
34 | "crop_stop": 313,
35 | "hpf_start": 154,
36 | "hpf_stop": 141,
37 | "res_type": "sinc_medium"
38 | }
39 | },
40 | "sr": 44100,
41 | "pre_filter_start": 757,
42 | "pre_filter_stop": 768
43 | }
44 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/3band_44100_msb2.json:
--------------------------------------------------------------------------------
1 | {
2 | "mid_side_b2": true,
3 | "bins": 640,
4 | "unstable_bins": 7,
5 | "reduction_bins": 565,
6 | "band": {
7 | "1": {
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9 | "hl": 108,
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13 | "lpf_start": 92,
14 | "lpf_stop": 186,
15 | "res_type": "polyphase"
16 | },
17 | "2": {
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19 | "hl": 216,
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21 | "crop_start": 0,
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23 | "hpf_start": 68,
24 | "hpf_stop": 34,
25 | "lpf_start": 174,
26 | "lpf_stop": 209,
27 | "res_type": "polyphase"
28 | },
29 | "3": {
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31 | "hl": 432,
32 | "n_fft": 640,
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34 | "crop_stop": 307,
35 | "hpf_start": 86,
36 | "hpf_stop": 72,
37 | "res_type": "kaiser_fast"
38 | }
39 | },
40 | "sr": 44100,
41 | "pre_filter_start": 639,
42 | "pre_filter_stop": 640
43 | }
44 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/4band_44100.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 768,
3 | "unstable_bins": 7,
4 | "reduction_bins": 668,
5 | "band": {
6 | "1": {
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8 | "hl": 128,
9 | "n_fft": 1024,
10 | "crop_start": 0,
11 | "crop_stop": 186,
12 | "lpf_start": 37,
13 | "lpf_stop": 73,
14 | "res_type": "polyphase"
15 | },
16 | "2": {
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18 | "hl": 128,
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23 | "hpf_stop": 18,
24 | "lpf_start": 93,
25 | "lpf_stop": 185,
26 | "res_type": "polyphase"
27 | },
28 | "3": {
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30 | "hl": 256,
31 | "n_fft": 512,
32 | "crop_start": 46,
33 | "crop_stop": 186,
34 | "hpf_start": 93,
35 | "hpf_stop": 46,
36 | "lpf_start": 164,
37 | "lpf_stop": 186,
38 | "res_type": "polyphase"
39 | },
40 | "4": {
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42 | "hl": 512,
43 | "n_fft": 768,
44 | "crop_start": 121,
45 | "crop_stop": 382,
46 | "hpf_start": 138,
47 | "hpf_stop": 123,
48 | "res_type": "sinc_medium"
49 | }
50 | },
51 | "sr": 44100,
52 | "pre_filter_start": 740,
53 | "pre_filter_stop": 768
54 | }
55 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/4band_44100_mid.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 768,
3 | "unstable_bins": 7,
4 | "mid_side": true,
5 | "reduction_bins": 668,
6 | "band": {
7 | "1": {
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9 | "hl": 128,
10 | "n_fft": 1024,
11 | "crop_start": 0,
12 | "crop_stop": 186,
13 | "lpf_start": 37,
14 | "lpf_stop": 73,
15 | "res_type": "polyphase"
16 | },
17 | "2": {
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19 | "hl": 128,
20 | "n_fft": 512,
21 | "crop_start": 4,
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23 | "hpf_start": 36,
24 | "hpf_stop": 18,
25 | "lpf_start": 93,
26 | "lpf_stop": 185,
27 | "res_type": "polyphase"
28 | },
29 | "3": {
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31 | "hl": 256,
32 | "n_fft": 512,
33 | "crop_start": 46,
34 | "crop_stop": 186,
35 | "hpf_start": 93,
36 | "hpf_stop": 46,
37 | "lpf_start": 164,
38 | "lpf_stop": 186,
39 | "res_type": "polyphase"
40 | },
41 | "4": {
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43 | "hl": 512,
44 | "n_fft": 768,
45 | "crop_start": 121,
46 | "crop_stop": 382,
47 | "hpf_start": 138,
48 | "hpf_stop": 123,
49 | "res_type": "sinc_medium"
50 | }
51 | },
52 | "sr": 44100,
53 | "pre_filter_start": 740,
54 | "pre_filter_stop": 768
55 | }
56 |
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/4band_44100_msb.json:
--------------------------------------------------------------------------------
1 | {
2 | "mid_side_b": true,
3 | "bins": 768,
4 | "unstable_bins": 7,
5 | "reduction_bins": 668,
6 | "band": {
7 | "1": {
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9 | "hl": 128,
10 | "n_fft": 1024,
11 | "crop_start": 0,
12 | "crop_stop": 186,
13 | "lpf_start": 37,
14 | "lpf_stop": 73,
15 | "res_type": "polyphase"
16 | },
17 | "2": {
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19 | "hl": 128,
20 | "n_fft": 512,
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23 | "hpf_start": 36,
24 | "hpf_stop": 18,
25 | "lpf_start": 93,
26 | "lpf_stop": 185,
27 | "res_type": "polyphase"
28 | },
29 | "3": {
30 | "sr": 22050,
31 | "hl": 256,
32 | "n_fft": 512,
33 | "crop_start": 46,
34 | "crop_stop": 186,
35 | "hpf_start": 93,
36 | "hpf_stop": 46,
37 | "lpf_start": 164,
38 | "lpf_stop": 186,
39 | "res_type": "polyphase"
40 | },
41 | "4": {
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43 | "hl": 512,
44 | "n_fft": 768,
45 | "crop_start": 121,
46 | "crop_stop": 382,
47 | "hpf_start": 138,
48 | "hpf_stop": 123,
49 | "res_type": "sinc_medium"
50 | }
51 | },
52 | "sr": 44100,
53 | "pre_filter_start": 740,
54 | "pre_filter_stop": 768
55 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/4band_44100_msb2.json:
--------------------------------------------------------------------------------
1 | {
2 | "mid_side_b": true,
3 | "bins": 768,
4 | "unstable_bins": 7,
5 | "reduction_bins": 668,
6 | "band": {
7 | "1": {
8 | "sr": 11025,
9 | "hl": 128,
10 | "n_fft": 1024,
11 | "crop_start": 0,
12 | "crop_stop": 186,
13 | "lpf_start": 37,
14 | "lpf_stop": 73,
15 | "res_type": "polyphase"
16 | },
17 | "2": {
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19 | "hl": 128,
20 | "n_fft": 512,
21 | "crop_start": 4,
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23 | "hpf_start": 36,
24 | "hpf_stop": 18,
25 | "lpf_start": 93,
26 | "lpf_stop": 185,
27 | "res_type": "polyphase"
28 | },
29 | "3": {
30 | "sr": 22050,
31 | "hl": 256,
32 | "n_fft": 512,
33 | "crop_start": 46,
34 | "crop_stop": 186,
35 | "hpf_start": 93,
36 | "hpf_stop": 46,
37 | "lpf_start": 164,
38 | "lpf_stop": 186,
39 | "res_type": "polyphase"
40 | },
41 | "4": {
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43 | "hl": 512,
44 | "n_fft": 768,
45 | "crop_start": 121,
46 | "crop_stop": 382,
47 | "hpf_start": 138,
48 | "hpf_stop": 123,
49 | "res_type": "sinc_medium"
50 | }
51 | },
52 | "sr": 44100,
53 | "pre_filter_start": 740,
54 | "pre_filter_stop": 768
55 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/4band_44100_reverse.json:
--------------------------------------------------------------------------------
1 | {
2 | "reverse": true,
3 | "bins": 768,
4 | "unstable_bins": 7,
5 | "reduction_bins": 668,
6 | "band": {
7 | "1": {
8 | "sr": 11025,
9 | "hl": 128,
10 | "n_fft": 1024,
11 | "crop_start": 0,
12 | "crop_stop": 186,
13 | "lpf_start": 37,
14 | "lpf_stop": 73,
15 | "res_type": "polyphase"
16 | },
17 | "2": {
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19 | "hl": 128,
20 | "n_fft": 512,
21 | "crop_start": 4,
22 | "crop_stop": 185,
23 | "hpf_start": 36,
24 | "hpf_stop": 18,
25 | "lpf_start": 93,
26 | "lpf_stop": 185,
27 | "res_type": "polyphase"
28 | },
29 | "3": {
30 | "sr": 22050,
31 | "hl": 256,
32 | "n_fft": 512,
33 | "crop_start": 46,
34 | "crop_stop": 186,
35 | "hpf_start": 93,
36 | "hpf_stop": 46,
37 | "lpf_start": 164,
38 | "lpf_stop": 186,
39 | "res_type": "polyphase"
40 | },
41 | "4": {
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43 | "hl": 512,
44 | "n_fft": 768,
45 | "crop_start": 121,
46 | "crop_stop": 382,
47 | "hpf_start": 138,
48 | "hpf_stop": 123,
49 | "res_type": "sinc_medium"
50 | }
51 | },
52 | "sr": 44100,
53 | "pre_filter_start": 740,
54 | "pre_filter_stop": 768
55 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/4band_44100_sw.json:
--------------------------------------------------------------------------------
1 | {
2 | "stereo_w": true,
3 | "bins": 768,
4 | "unstable_bins": 7,
5 | "reduction_bins": 668,
6 | "band": {
7 | "1": {
8 | "sr": 11025,
9 | "hl": 128,
10 | "n_fft": 1024,
11 | "crop_start": 0,
12 | "crop_stop": 186,
13 | "lpf_start": 37,
14 | "lpf_stop": 73,
15 | "res_type": "polyphase"
16 | },
17 | "2": {
18 | "sr": 11025,
19 | "hl": 128,
20 | "n_fft": 512,
21 | "crop_start": 4,
22 | "crop_stop": 185,
23 | "hpf_start": 36,
24 | "hpf_stop": 18,
25 | "lpf_start": 93,
26 | "lpf_stop": 185,
27 | "res_type": "polyphase"
28 | },
29 | "3": {
30 | "sr": 22050,
31 | "hl": 256,
32 | "n_fft": 512,
33 | "crop_start": 46,
34 | "crop_stop": 186,
35 | "hpf_start": 93,
36 | "hpf_stop": 46,
37 | "lpf_start": 164,
38 | "lpf_stop": 186,
39 | "res_type": "polyphase"
40 | },
41 | "4": {
42 | "sr": 44100,
43 | "hl": 512,
44 | "n_fft": 768,
45 | "crop_start": 121,
46 | "crop_stop": 382,
47 | "hpf_start": 138,
48 | "hpf_stop": 123,
49 | "res_type": "sinc_medium"
50 | }
51 | },
52 | "sr": 44100,
53 | "pre_filter_start": 740,
54 | "pre_filter_stop": 768
55 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/4band_v2.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 672,
3 | "unstable_bins": 8,
4 | "reduction_bins": 637,
5 | "band": {
6 | "1": {
7 | "sr": 7350,
8 | "hl": 80,
9 | "n_fft": 640,
10 | "crop_start": 0,
11 | "crop_stop": 85,
12 | "lpf_start": 25,
13 | "lpf_stop": 53,
14 | "res_type": "polyphase"
15 | },
16 | "2": {
17 | "sr": 7350,
18 | "hl": 80,
19 | "n_fft": 320,
20 | "crop_start": 4,
21 | "crop_stop": 87,
22 | "hpf_start": 25,
23 | "hpf_stop": 12,
24 | "lpf_start": 31,
25 | "lpf_stop": 62,
26 | "res_type": "polyphase"
27 | },
28 | "3": {
29 | "sr": 14700,
30 | "hl": 160,
31 | "n_fft": 512,
32 | "crop_start": 17,
33 | "crop_stop": 216,
34 | "hpf_start": 48,
35 | "hpf_stop": 24,
36 | "lpf_start": 139,
37 | "lpf_stop": 210,
38 | "res_type": "polyphase"
39 | },
40 | "4": {
41 | "sr": 44100,
42 | "hl": 480,
43 | "n_fft": 960,
44 | "crop_start": 78,
45 | "crop_stop": 383,
46 | "hpf_start": 130,
47 | "hpf_stop": 86,
48 | "res_type": "kaiser_fast"
49 | }
50 | },
51 | "sr": 44100,
52 | "pre_filter_start": 668,
53 | "pre_filter_stop": 672
54 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/4band_v2_sn.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 672,
3 | "unstable_bins": 8,
4 | "reduction_bins": 637,
5 | "band": {
6 | "1": {
7 | "sr": 7350,
8 | "hl": 80,
9 | "n_fft": 640,
10 | "crop_start": 0,
11 | "crop_stop": 85,
12 | "lpf_start": 25,
13 | "lpf_stop": 53,
14 | "res_type": "polyphase"
15 | },
16 | "2": {
17 | "sr": 7350,
18 | "hl": 80,
19 | "n_fft": 320,
20 | "crop_start": 4,
21 | "crop_stop": 87,
22 | "hpf_start": 25,
23 | "hpf_stop": 12,
24 | "lpf_start": 31,
25 | "lpf_stop": 62,
26 | "res_type": "polyphase"
27 | },
28 | "3": {
29 | "sr": 14700,
30 | "hl": 160,
31 | "n_fft": 512,
32 | "crop_start": 17,
33 | "crop_stop": 216,
34 | "hpf_start": 48,
35 | "hpf_stop": 24,
36 | "lpf_start": 139,
37 | "lpf_stop": 210,
38 | "res_type": "polyphase"
39 | },
40 | "4": {
41 | "sr": 44100,
42 | "hl": 480,
43 | "n_fft": 960,
44 | "crop_start": 78,
45 | "crop_stop": 383,
46 | "hpf_start": 130,
47 | "hpf_stop": 86,
48 | "convert_channels": "stereo_n",
49 | "res_type": "kaiser_fast"
50 | }
51 | },
52 | "sr": 44100,
53 | "pre_filter_start": 668,
54 | "pre_filter_stop": 672
55 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/4band_v3.json:
--------------------------------------------------------------------------------
1 | {
2 | "bins": 672,
3 | "unstable_bins": 8,
4 | "reduction_bins": 530,
5 | "band": {
6 | "1": {
7 | "sr": 7350,
8 | "hl": 80,
9 | "n_fft": 640,
10 | "crop_start": 0,
11 | "crop_stop": 85,
12 | "lpf_start": 25,
13 | "lpf_stop": 53,
14 | "res_type": "polyphase"
15 | },
16 | "2": {
17 | "sr": 7350,
18 | "hl": 80,
19 | "n_fft": 320,
20 | "crop_start": 4,
21 | "crop_stop": 87,
22 | "hpf_start": 25,
23 | "hpf_stop": 12,
24 | "lpf_start": 31,
25 | "lpf_stop": 62,
26 | "res_type": "polyphase"
27 | },
28 | "3": {
29 | "sr": 14700,
30 | "hl": 160,
31 | "n_fft": 512,
32 | "crop_start": 17,
33 | "crop_stop": 216,
34 | "hpf_start": 48,
35 | "hpf_stop": 24,
36 | "lpf_start": 139,
37 | "lpf_stop": 210,
38 | "res_type": "polyphase"
39 | },
40 | "4": {
41 | "sr": 44100,
42 | "hl": 480,
43 | "n_fft": 960,
44 | "crop_start": 78,
45 | "crop_stop": 383,
46 | "hpf_start": 130,
47 | "hpf_stop": 86,
48 | "res_type": "kaiser_fast"
49 | }
50 | },
51 | "sr": 44100,
52 | "pre_filter_start": 668,
53 | "pre_filter_stop": 672
54 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/4band_v3_sn.json:
--------------------------------------------------------------------------------
1 | {
2 | "n_bins": 672,
3 | "unstable_bins": 8,
4 | "stable_bins": 530,
5 | "band": {
6 | "1": {
7 | "sr": 7350,
8 | "hl": 80,
9 | "n_fft": 640,
10 | "crop_start": 0,
11 | "crop_stop": 85,
12 | "lpf_start": 25,
13 | "lpf_stop": 53,
14 | "res_type": "polyphase"
15 | },
16 | "2": {
17 | "sr": 7350,
18 | "hl": 80,
19 | "n_fft": 320,
20 | "crop_start": 4,
21 | "crop_stop": 87,
22 | "hpf_start": 25,
23 | "hpf_stop": 12,
24 | "lpf_start": 31,
25 | "lpf_stop": 62,
26 | "res_type": "polyphase"
27 | },
28 | "3": {
29 | "sr": 14700,
30 | "hl": 160,
31 | "n_fft": 512,
32 | "crop_start": 17,
33 | "crop_stop": 216,
34 | "hpf_start": 48,
35 | "hpf_stop": 24,
36 | "lpf_start": 139,
37 | "lpf_stop": 210,
38 | "res_type": "polyphase"
39 | },
40 | "4": {
41 | "sr": 44100,
42 | "hl": 480,
43 | "n_fft": 960,
44 | "crop_start": 78,
45 | "crop_stop": 383,
46 | "hpf_start": 130,
47 | "hpf_stop": 86,
48 | "convert_channels": "stereo_n",
49 | "res_type": "kaiser_fast"
50 | }
51 | },
52 | "sr": 44100,
53 | "pre_filter_start": 668,
54 | "pre_filter_stop": 672
55 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/modelparams/ensemble.json:
--------------------------------------------------------------------------------
1 | {
2 | "mid_side_b2": true,
3 | "bins": 1280,
4 | "unstable_bins": 7,
5 | "reduction_bins": 565,
6 | "band": {
7 | "1": {
8 | "sr": 11025,
9 | "hl": 108,
10 | "n_fft": 2048,
11 | "crop_start": 0,
12 | "crop_stop": 374,
13 | "lpf_start": 92,
14 | "lpf_stop": 186,
15 | "res_type": "polyphase"
16 | },
17 | "2": {
18 | "sr": 22050,
19 | "hl": 216,
20 | "n_fft": 1536,
21 | "crop_start": 0,
22 | "crop_stop": 424,
23 | "hpf_start": 68,
24 | "hpf_stop": 34,
25 | "lpf_start": 348,
26 | "lpf_stop": 418,
27 | "res_type": "polyphase"
28 | },
29 | "3": {
30 | "sr": 44100,
31 | "hl": 432,
32 | "n_fft": 1280,
33 | "crop_start": 132,
34 | "crop_stop": 614,
35 | "hpf_start": 172,
36 | "hpf_stop": 144,
37 | "res_type": "polyphase"
38 | }
39 | },
40 | "sr": 44100,
41 | "pre_filter_start": 1280,
42 | "pre_filter_stop": 1280
43 | }
--------------------------------------------------------------------------------
/lib_v5/vr_network/nets.py:
--------------------------------------------------------------------------------
1 | import torch
2 | from torch import nn
3 | import torch.nn.functional as F
4 |
5 | from . import layers
6 |
7 | class BaseASPPNet(nn.Module):
8 |
9 | def __init__(self, nn_architecture, nin, ch, dilations=(4, 8, 16)):
10 | super(BaseASPPNet, self).__init__()
11 | self.nn_architecture = nn_architecture
12 | self.enc1 = layers.Encoder(nin, ch, 3, 2, 1)
13 | self.enc2 = layers.Encoder(ch, ch * 2, 3, 2, 1)
14 | self.enc3 = layers.Encoder(ch * 2, ch * 4, 3, 2, 1)
15 | self.enc4 = layers.Encoder(ch * 4, ch * 8, 3, 2, 1)
16 |
17 | if self.nn_architecture == 129605:
18 | self.enc5 = layers.Encoder(ch * 8, ch * 16, 3, 2, 1)
19 | self.aspp = layers.ASPPModule(nn_architecture, ch * 16, ch * 32, dilations)
20 | self.dec5 = layers.Decoder(ch * (16 + 32), ch * 16, 3, 1, 1)
21 | else:
22 | self.aspp = layers.ASPPModule(nn_architecture, ch * 8, ch * 16, dilations)
23 |
24 | self.dec4 = layers.Decoder(ch * (8 + 16), ch * 8, 3, 1, 1)
25 | self.dec3 = layers.Decoder(ch * (4 + 8), ch * 4, 3, 1, 1)
26 | self.dec2 = layers.Decoder(ch * (2 + 4), ch * 2, 3, 1, 1)
27 | self.dec1 = layers.Decoder(ch * (1 + 2), ch, 3, 1, 1)
28 |
29 | def __call__(self, x):
30 | h, e1 = self.enc1(x)
31 | h, e2 = self.enc2(h)
32 | h, e3 = self.enc3(h)
33 | h, e4 = self.enc4(h)
34 |
35 | if self.nn_architecture == 129605:
36 | h, e5 = self.enc5(h)
37 | h = self.aspp(h)
38 | h = self.dec5(h, e5)
39 | else:
40 | h = self.aspp(h)
41 |
42 | h = self.dec4(h, e4)
43 | h = self.dec3(h, e3)
44 | h = self.dec2(h, e2)
45 | h = self.dec1(h, e1)
46 |
47 | return h
48 |
49 | def determine_model_capacity(n_fft_bins, nn_architecture):
50 |
51 | sp_model_arch = [31191, 33966, 129605]
52 | hp_model_arch = [123821, 123812]
53 | hp2_model_arch = [537238, 537227]
54 |
55 | if nn_architecture in sp_model_arch:
56 | model_capacity_data = [
57 | (2, 16),
58 | (2, 16),
59 | (18, 8, 1, 1, 0),
60 | (8, 16),
61 | (34, 16, 1, 1, 0),
62 | (16, 32),
63 | (32, 2, 1),
64 | (16, 2, 1),
65 | (16, 2, 1),
66 | ]
67 |
68 | if nn_architecture in hp_model_arch:
69 | model_capacity_data = [
70 | (2, 32),
71 | (2, 32),
72 | (34, 16, 1, 1, 0),
73 | (16, 32),
74 | (66, 32, 1, 1, 0),
75 | (32, 64),
76 | (64, 2, 1),
77 | (32, 2, 1),
78 | (32, 2, 1),
79 | ]
80 |
81 | if nn_architecture in hp2_model_arch:
82 | model_capacity_data = [
83 | (2, 64),
84 | (2, 64),
85 | (66, 32, 1, 1, 0),
86 | (32, 64),
87 | (130, 64, 1, 1, 0),
88 | (64, 128),
89 | (128, 2, 1),
90 | (64, 2, 1),
91 | (64, 2, 1),
92 | ]
93 |
94 | cascaded = CascadedASPPNet
95 | model = cascaded(n_fft_bins, model_capacity_data, nn_architecture)
96 |
97 | return model
98 |
99 | class CascadedASPPNet(nn.Module):
100 |
101 | def __init__(self, n_fft, model_capacity_data, nn_architecture):
102 | super(CascadedASPPNet, self).__init__()
103 | self.stg1_low_band_net = BaseASPPNet(nn_architecture, *model_capacity_data[0])
104 | self.stg1_high_band_net = BaseASPPNet(nn_architecture, *model_capacity_data[1])
105 |
106 | self.stg2_bridge = layers.Conv2DBNActiv(*model_capacity_data[2])
107 | self.stg2_full_band_net = BaseASPPNet(nn_architecture, *model_capacity_data[3])
108 |
109 | self.stg3_bridge = layers.Conv2DBNActiv(*model_capacity_data[4])
110 | self.stg3_full_band_net = BaseASPPNet(nn_architecture, *model_capacity_data[5])
111 |
112 | self.out = nn.Conv2d(*model_capacity_data[6], bias=False)
113 | self.aux1_out = nn.Conv2d(*model_capacity_data[7], bias=False)
114 | self.aux2_out = nn.Conv2d(*model_capacity_data[8], bias=False)
115 |
116 | self.max_bin = n_fft // 2
117 | self.output_bin = n_fft // 2 + 1
118 |
119 | self.offset = 128
120 |
121 | def forward(self, x):
122 | mix = x.detach()
123 | x = x.clone()
124 |
125 | x = x[:, :, :self.max_bin]
126 |
127 | bandw = x.size()[2] // 2
128 | aux1 = torch.cat([
129 | self.stg1_low_band_net(x[:, :, :bandw]),
130 | self.stg1_high_band_net(x[:, :, bandw:])
131 | ], dim=2)
132 |
133 | h = torch.cat([x, aux1], dim=1)
134 | aux2 = self.stg2_full_band_net(self.stg2_bridge(h))
135 |
136 | h = torch.cat([x, aux1, aux2], dim=1)
137 | h = self.stg3_full_band_net(self.stg3_bridge(h))
138 |
139 | mask = torch.sigmoid(self.out(h))
140 | mask = F.pad(
141 | input=mask,
142 | pad=(0, 0, 0, self.output_bin - mask.size()[2]),
143 | mode='replicate')
144 |
145 | if self.training:
146 | aux1 = torch.sigmoid(self.aux1_out(aux1))
147 | aux1 = F.pad(
148 | input=aux1,
149 | pad=(0, 0, 0, self.output_bin - aux1.size()[2]),
150 | mode='replicate')
151 | aux2 = torch.sigmoid(self.aux2_out(aux2))
152 | aux2 = F.pad(
153 | input=aux2,
154 | pad=(0, 0, 0, self.output_bin - aux2.size()[2]),
155 | mode='replicate')
156 | return mask * mix, aux1 * mix, aux2 * mix
157 | else:
158 | return mask# * mix
159 |
160 | def predict_mask(self, x):
161 | mask = self.forward(x)
162 |
163 | if self.offset > 0:
164 | mask = mask[:, :, :, self.offset:-self.offset]
165 |
166 | return mask
--------------------------------------------------------------------------------
/lib_v5/vr_network/nets_new.py:
--------------------------------------------------------------------------------
1 | import torch
2 | from torch import nn
3 | import torch.nn.functional as F
4 | from . import layers_new as layers
5 |
6 | class BaseNet(nn.Module):
7 |
8 | def __init__(self, nin, nout, nin_lstm, nout_lstm, dilations=((4, 2), (8, 4), (12, 6))):
9 | super(BaseNet, self).__init__()
10 | self.enc1 = layers.Conv2DBNActiv(nin, nout, 3, 1, 1)
11 | self.enc2 = layers.Encoder(nout, nout * 2, 3, 2, 1)
12 | self.enc3 = layers.Encoder(nout * 2, nout * 4, 3, 2, 1)
13 | self.enc4 = layers.Encoder(nout * 4, nout * 6, 3, 2, 1)
14 | self.enc5 = layers.Encoder(nout * 6, nout * 8, 3, 2, 1)
15 |
16 | self.aspp = layers.ASPPModule(nout * 8, nout * 8, dilations, dropout=True)
17 |
18 | self.dec4 = layers.Decoder(nout * (6 + 8), nout * 6, 3, 1, 1)
19 | self.dec3 = layers.Decoder(nout * (4 + 6), nout * 4, 3, 1, 1)
20 | self.dec2 = layers.Decoder(nout * (2 + 4), nout * 2, 3, 1, 1)
21 | self.lstm_dec2 = layers.LSTMModule(nout * 2, nin_lstm, nout_lstm)
22 | self.dec1 = layers.Decoder(nout * (1 + 2) + 1, nout * 1, 3, 1, 1)
23 |
24 | def __call__(self, x):
25 | e1 = self.enc1(x)
26 | e2 = self.enc2(e1)
27 | e3 = self.enc3(e2)
28 | e4 = self.enc4(e3)
29 | e5 = self.enc5(e4)
30 |
31 | h = self.aspp(e5)
32 |
33 | h = self.dec4(h, e4)
34 | h = self.dec3(h, e3)
35 | h = self.dec2(h, e2)
36 | h = torch.cat([h, self.lstm_dec2(h)], dim=1)
37 | h = self.dec1(h, e1)
38 |
39 | return h
40 |
41 | class CascadedNet(nn.Module):
42 |
43 | def __init__(self, n_fft, nn_arch_size=51000, nout=32, nout_lstm=128):
44 | super(CascadedNet, self).__init__()
45 | self.max_bin = n_fft // 2
46 | self.output_bin = n_fft // 2 + 1
47 | self.nin_lstm = self.max_bin // 2
48 | self.offset = 64
49 | nout = 64 if nn_arch_size == 218409 else nout
50 |
51 | #print(nout, nout_lstm, n_fft)
52 |
53 | self.stg1_low_band_net = nn.Sequential(
54 | BaseNet(2, nout // 2, self.nin_lstm // 2, nout_lstm),
55 | layers.Conv2DBNActiv(nout // 2, nout // 4, 1, 1, 0)
56 | )
57 | self.stg1_high_band_net = BaseNet(2, nout // 4, self.nin_lstm // 2, nout_lstm // 2)
58 |
59 | self.stg2_low_band_net = nn.Sequential(
60 | BaseNet(nout // 4 + 2, nout, self.nin_lstm // 2, nout_lstm),
61 | layers.Conv2DBNActiv(nout, nout // 2, 1, 1, 0)
62 | )
63 | self.stg2_high_band_net = BaseNet(nout // 4 + 2, nout // 2, self.nin_lstm // 2, nout_lstm // 2)
64 |
65 | self.stg3_full_band_net = BaseNet(3 * nout // 4 + 2, nout, self.nin_lstm, nout_lstm)
66 |
67 | self.out = nn.Conv2d(nout, 2, 1, bias=False)
68 | self.aux_out = nn.Conv2d(3 * nout // 4, 2, 1, bias=False)
69 |
70 | def forward(self, x):
71 | x = x[:, :, :self.max_bin]
72 |
73 | bandw = x.size()[2] // 2
74 | l1_in = x[:, :, :bandw]
75 | h1_in = x[:, :, bandw:]
76 | l1 = self.stg1_low_band_net(l1_in)
77 | h1 = self.stg1_high_band_net(h1_in)
78 | aux1 = torch.cat([l1, h1], dim=2)
79 |
80 | l2_in = torch.cat([l1_in, l1], dim=1)
81 | h2_in = torch.cat([h1_in, h1], dim=1)
82 | l2 = self.stg2_low_band_net(l2_in)
83 | h2 = self.stg2_high_band_net(h2_in)
84 | aux2 = torch.cat([l2, h2], dim=2)
85 |
86 | f3_in = torch.cat([x, aux1, aux2], dim=1)
87 | f3 = self.stg3_full_band_net(f3_in)
88 |
89 | mask = torch.sigmoid(self.out(f3))
90 | mask = F.pad(
91 | input=mask,
92 | pad=(0, 0, 0, self.output_bin - mask.size()[2]),
93 | mode='replicate'
94 | )
95 |
96 | if self.training:
97 | aux = torch.cat([aux1, aux2], dim=1)
98 | aux = torch.sigmoid(self.aux_out(aux))
99 | aux = F.pad(
100 | input=aux,
101 | pad=(0, 0, 0, self.output_bin - aux.size()[2]),
102 | mode='replicate'
103 | )
104 | return mask, aux
105 | else:
106 | return mask
107 |
108 | def predict_mask(self, x):
109 | mask = self.forward(x)
110 |
111 | if self.offset > 0:
112 | mask = mask[:, :, :, self.offset:-self.offset]
113 | assert mask.size()[3] > 0
114 |
115 | return mask
116 |
117 | def predict(self, x):
118 | mask = self.forward(x)
119 | pred_mag = x * mask
120 |
121 | if self.offset > 0:
122 | pred_mag = pred_mag[:, :, :, self.offset:-self.offset]
123 | assert pred_mag.size()[3] > 0
124 |
125 | return pred_mag
126 |
--------------------------------------------------------------------------------
/models/Demucs_Models/model_data/model_name_mapper.json:
--------------------------------------------------------------------------------
1 | {
2 | "tasnet.th": "v1 | Tasnet",
3 | "tasnet_extra.th": "v1 | Tasnet_extra",
4 | "demucs.th": "v1 | Demucs",
5 | "demucs_extra.th": "v1 | Demucs_extra",
6 | "light.th": "v1 | Light",
7 | "light_extra.th": "v1 | Light_extra",
8 | "tasnet.th.gz": "v1 | Tasnet.gz",
9 | "tasnet_extra.th.gz": "v1 | Tasnet_extra.gz",
10 | "demucs.th.gz": "v1 | Demucs_extra.gz",
11 | "light.th.gz": "v1 | Light.gz",
12 | "light_extra.th.gz": "v1 | Light_extra.gz",
13 | "tasnet-beb46fac.th": "v2 | Tasnet",
14 | "tasnet_extra-df3777b2.th": "v2 | Tasnet_extra",
15 | "demucs48_hq-28a1282c.th": "v2 | Demucs48_hq",
16 | "demucs-e07c671f.th": "v2 | Demucs",
17 | "demucs_extra-3646af93.th": "v2 | Demucs_extra",
18 | "demucs_unittest-09ebc15f.th": "v2 | Demucs_unittest",
19 | "mdx.yaml": "v3 | mdx",
20 | "mdx_extra.yaml": "v3 | mdx_extra",
21 | "mdx_extra_q.yaml": "v3 | mdx_extra_q",
22 | "mdx_q.yaml": "v3 | mdx_q",
23 | "repro_mdx_a.yaml": "v3 | repro_mdx_a",
24 | "repro_mdx_a_hybrid_only.yaml": "v3 | repro_mdx_a_hybrid",
25 | "repro_mdx_a_time_only.yaml": "v3 | repro_mdx_a_time",
26 | "UVR_Demucs_Model_1.yaml": "v3 | UVR_Model_1",
27 | "UVR_Demucs_Model_2.yaml": "v3 | UVR_Model_2",
28 | "UVR_Demucs_Model_Bag.yaml": "v3 | UVR_Model_Bag",
29 | "hdemucs_mmi.yaml": "v4 | hdemucs_mmi",
30 | "htdemucs.yaml": "v4 | htdemucs",
31 | "htdemucs_ft.yaml": "v4 | htdemucs_ft",
32 | "htdemucs_6s.yaml": "v4 | htdemucs_6s",
33 | "UVR_Demucs_Model_ht.yaml": "v4 | UVR_Model_ht"
34 | }
--------------------------------------------------------------------------------
/models/Demucs_Models/v3_v4_repo/demucs_models.txt:
--------------------------------------------------------------------------------
1 | Demucs v3 and v4 models go here.
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/model1.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 260096
3 | dim_f: 4096
4 | dim_t: 128
5 | hop_length: 2048
6 | n_fft: 8192
7 | num_channels: 2
8 | sample_rate: 44100
9 | model:
10 | act: gelu
11 | bottleneck_factor: 4
12 | growth: 64
13 | norm: InstanceNorm
14 | num_blocks_per_scale: 2
15 | num_channels: 128
16 | num_scales: 5
17 | num_subbands: 4
18 | scale:
19 | - 2
20 | - 2
21 | training:
22 | batch_size: 8
23 | grad_clip: 0
24 | instruments:
25 | - Vocals
26 | - Drums
27 | - Bass
28 | - Other
29 | lr: 5.0e-05
30 | target_instrument: null
31 | inference:
32 | batch_size: 1
33 | dim_t: 256
34 | num_overlap: 8
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/model2.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 260096
3 | dim_f: 4096
4 | dim_t: 128
5 | hop_length: 2048
6 | n_fft: 8192
7 | num_channels: 2
8 | sample_rate: 44100
9 | model:
10 | act: gelu
11 | bottleneck_factor: 4
12 | growth: 64
13 | norm: InstanceNorm
14 | num_blocks_per_scale: 2
15 | num_channels: 256
16 | num_scales: 5
17 | num_subbands: 4
18 | scale:
19 | - 2
20 | - 2
21 | training:
22 | batch_size: 8
23 | grad_clip: 0
24 | instruments:
25 | - Vocals
26 | - Drums
27 | - Bass
28 | - Other
29 | lr: 3.0e-05
30 | target_instrument: null
31 | inference:
32 | batch_size: 1
33 | dim_t: 256
34 | num_overlap: 8
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/model3.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 260096
3 | dim_f: 4096
4 | dim_t: 128
5 | hop_length: 2048
6 | n_fft: 12288
7 | num_channels: 2
8 | sample_rate: 44100
9 | model:
10 | act: gelu
11 | bottleneck_factor: 4
12 | growth: 64
13 | norm: InstanceNorm
14 | num_blocks_per_scale: 2
15 | num_channels: 128
16 | num_scales: 5
17 | num_subbands: 4
18 | scale:
19 | - 2
20 | - 2
21 | training:
22 | batch_size: 8
23 | grad_clip: 0
24 | instruments:
25 | - Vocals
26 | - Drums
27 | - Bass
28 | - Other
29 | lr: 5.0e-05
30 | target_instrument: Vocals
31 | inference:
32 | batch_size: 1
33 | dim_t: 256
34 | num_overlap: 8
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/modelA.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 261120
3 | dim_f: 4096
4 | dim_t: 256
5 | hop_length: 1024
6 | min_mean_abs: 0.01
7 | n_fft: 8192
8 | num_channels: 2
9 | sample_rate: 44100
10 | model:
11 | act: gelu
12 | bottleneck_factor: 4
13 | growth: 64
14 | norm: InstanceNorm
15 | num_blocks_per_scale: 2
16 | num_channels: 64
17 | num_scales: 5
18 | num_subbands: 4
19 | scale:
20 | - 2
21 | - 2
22 | training:
23 | batch_size: 6
24 | coarse_loss_clip: true
25 | ema_momentum: 0.999
26 | grad_clip: null
27 | instruments:
28 | - Vocals
29 | - Drums
30 | - Bass
31 | - Other
32 | lr: 0.0001
33 | num_steps: 100000
34 | q: 0.4
35 | target_instrument: null
36 | inference:
37 | batch_size: 2
38 | dim_t: 256
39 | num_overlap: 8
40 |
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/modelB.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 261120
3 | dim_f: 4096
4 | dim_t: 256
5 | hop_length: 1024
6 | min_mean_abs: 0.01
7 | n_fft: 8192
8 | num_channels: 2
9 | sample_rate: 44100
10 | model:
11 | act: gelu
12 | bottleneck_factor: 4
13 | growth: 64
14 | norm: InstanceNorm
15 | num_blocks_per_scale: 2
16 | num_channels: 64
17 | num_scales: 5
18 | num_subbands: 4
19 | scale:
20 | - 2
21 | - 2
22 | training:
23 | batch_size: 6
24 | coarse_loss_clip: false
25 | datasets:
26 | - ../data/moises/bleeding
27 | ema_momentum: 0.999
28 | grad_clip: null
29 | instruments:
30 | - Vocals
31 | - Drums
32 | - Bass
33 | - Other
34 | lr: 0.0001
35 | num_steps: 150000
36 | q: 0.93
37 | target_instrument: null
38 | inference:
39 | batch_size: 2
40 | dim_t: 256
41 | num_overlap: 8
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/model_2_stem_061321.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 260096
3 | dim_f: 4096
4 | dim_t: 256
5 | hop_length: 2048
6 | n_fft: 12288
7 | num_channels: 2
8 | sample_rate: 44100
9 | min_mean_abs: 0.001
10 | model:
11 | act: gelu
12 | bottleneck_factor: 4
13 | growth: 64
14 | norm: InstanceNorm
15 | num_blocks_per_scale: 2
16 | num_channels: 128
17 | num_scales: 5
18 | num_subbands: 4
19 | scale:
20 | - 2
21 | - 2
22 | name: epoch_10.ckpt
23 | training:
24 | batch_size: 16
25 | grad_clip: 0
26 | instruments:
27 | - Vocals
28 | - Instrumental
29 | lr: 5.0e-05
30 | target_instrument: null
31 | num_epochs: 100
32 | num_steps: 1000
33 | inference:
34 | batch_size: 1
35 | dim_t: 256
36 | num_overlap: 8
37 |
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/model_2_stem_full_band.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 260096
3 | dim_f: 6144
4 | dim_t: 128
5 | hop_length: 2048
6 | n_fft: 12288
7 | num_channels: 2
8 | sample_rate: 44100
9 | min_mean_abs: 0.001
10 | model:
11 | act: gelu
12 | bottleneck_factor: 4
13 | growth: 64
14 | norm: InstanceNorm
15 | num_blocks_per_scale: 2
16 | num_channels: 128
17 | num_scales: 5
18 | num_subbands: 6
19 | scale:
20 | - 2
21 | - 2
22 | training:
23 | batch_size: 14
24 | grad_clip: 0
25 | instruments:
26 | - Vocals
27 | - Instrumental
28 | lr: 3.0e-05
29 | target_instrument: null
30 | num_epochs: 1000
31 | num_steps: 1000
32 | augmentation: 1
33 | inference:
34 | batch_size: 1
35 | dim_t: 256
36 | num_overlap: 8
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/model_2_stem_full_band_2.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 260096
3 | dim_f: 6144
4 | dim_t: 128
5 | hop_length: 2048
6 | n_fft: 12288
7 | num_channels: 2
8 | sample_rate: 44100
9 | min_mean_abs: 0.001
10 | model:
11 | act: gelu
12 | bottleneck_factor: 4
13 | growth: 128
14 | norm: InstanceNorm
15 | num_blocks_per_scale: 2
16 | num_channels: 128
17 | num_scales: 5
18 | num_subbands: 6
19 | scale:
20 | - 2
21 | - 2
22 | training:
23 | batch_size: 14
24 | grad_clip: 0
25 | instruments:
26 | - Vocals
27 | - Instrumental
28 | lr: 2.0e-05
29 | target_instrument: null
30 | num_epochs: 1000
31 | num_steps: 1000
32 | augmentation: 1
33 | inference:
34 | batch_size: 1
35 | dim_t: 256
36 | num_overlap: 8
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/model_2_stem_full_band_3.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 261120
3 | dim_f: 6144
4 | dim_t: 256
5 | hop_length: 1024
6 | n_fft: 12288
7 | num_channels: 2
8 | sample_rate: 44100
9 | min_mean_abs: 0.001
10 | model:
11 | act: gelu
12 | bottleneck_factor: 4
13 | growth: 128
14 | norm: InstanceNorm
15 | num_blocks_per_scale: 2
16 | num_channels: 128
17 | num_scales: 5
18 | num_subbands: 6
19 | scale:
20 | - 2
21 | - 2
22 | training:
23 | batch_size: 6
24 | grad_clip: 0
25 | instruments:
26 | - Vocals
27 | - Instrumental
28 | lr: 1.0e-05
29 | target_instrument: null
30 | num_epochs: 1000
31 | num_steps: 1000
32 | augmentation: 1
33 | q: 0.95
34 | coarse_loss_clip: true
35 | ema_momentum: 0.999
36 | inference:
37 | batch_size: 1
38 | dim_t: 256
39 | num_overlap: 8
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/model_2_stem_full_band_4.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 261120
3 | dim_f: 6144
4 | dim_t: 256
5 | hop_length: 1024
6 | n_fft: 12288
7 | num_channels: 2
8 | sample_rate: 44100
9 | min_mean_abs: 0.001
10 | model:
11 | act: gelu
12 | bottleneck_factor: 4
13 | growth: 128
14 | norm: InstanceNorm
15 | num_blocks_per_scale: 2
16 | num_channels: 128
17 | num_scales: 5
18 | num_subbands: 6
19 | scale:
20 | - 2
21 | - 2
22 | training:
23 | batch_size: 6
24 | grad_clip: 0
25 | instruments:
26 | - Vocals
27 | - Instrumental
28 | lr: 0.7e-05
29 | patience: 2
30 | target_instrument: null
31 | num_epochs: 1000
32 | num_steps: 1000
33 | augmentation: 1
34 | q: 0.95
35 | coarse_loss_clip: true
36 | ema_momentum: 0.999
37 | inference:
38 | batch_size: 1
39 | dim_t: 256
40 | num_overlap: 8
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/model_2_stem_full_band_8k.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 261120
3 | dim_f: 4096
4 | dim_t: 256
5 | hop_length: 1024
6 | n_fft: 8192
7 | num_channels: 2
8 | sample_rate: 44100
9 | min_mean_abs: 0.001
10 | model:
11 | act: gelu
12 | bottleneck_factor: 4
13 | growth: 128
14 | norm: InstanceNorm
15 | num_blocks_per_scale: 2
16 | num_channels: 128
17 | num_scales: 5
18 | num_subbands: 4
19 | scale:
20 | - 2
21 | - 2
22 | training:
23 | batch_size: 6
24 | grad_clip: 0
25 | instruments:
26 | - Vocals
27 | - Instrumental
28 | lr: 1.0e-05
29 | patience: 2
30 | reduce_factor: 0.95
31 | target_instrument: null
32 | num_epochs: 1000
33 | num_steps: 1000
34 | augmentation: 1
35 | augmentation_type: simple1
36 | augmentation_mix: true
37 | q: 0.95
38 | coarse_loss_clip: true
39 | ema_momentum: 0.999
40 | inference:
41 | batch_size: 1
42 | dim_t: 256
43 | num_overlap: 8
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/mdx_c_configs/sndfx.yaml:
--------------------------------------------------------------------------------
1 | audio:
2 | chunk_size: 261120
3 | dim_f: 1024
4 | dim_t: 256
5 | hop_length: 1024
6 | min_mean_abs: 0.01
7 | n_fft: 2048
8 | num_channels: 2
9 | sample_rate: 44100
10 | stereo_prob: 0.7
11 | model:
12 | act: gelu
13 | bottleneck_factor: 4
14 | growth: 64
15 | norm: InstanceNorm
16 | num_blocks_per_scale: 2
17 | num_channels: 64
18 | num_scales: 5
19 | num_subbands: 4
20 | scale:
21 | - 2
22 | - 2
23 | training:
24 | batch_size: 8
25 | ema_momentum: 0.999
26 | grad_clip: null
27 | instruments:
28 | - Music
29 | - Speech
30 | - SFX
31 | lr: 0.0001
32 | num_steps: 30000
33 | target_instrument: null
34 | inference:
35 | batch_size: 8
36 | dim_t: 256
37 | instruments:
38 | - Music
39 | - Dialog
40 | - Effect
41 | num_overlap: 8
42 |
--------------------------------------------------------------------------------
/models/MDX_Net_Models/model_data/model_name_mapper.json:
--------------------------------------------------------------------------------
1 | {
2 | "UVR_MDXNET_1_9703": "UVR-MDX-NET 1",
3 | "UVR_MDXNET_2_9682": "UVR-MDX-NET 2",
4 | "UVR_MDXNET_3_9662": "UVR-MDX-NET 3",
5 | "UVR_MDXNET_KARA": "UVR-MDX-NET Karaoke",
6 | "UVR_MDXNET_Main": "UVR-MDX-NET Main",
7 | "UVR-MDX-NET-Inst_1": "UVR-MDX-NET Inst 1",
8 | "UVR-MDX-NET-Inst_2": "UVR-MDX-NET Inst 2",
9 | "UVR-MDX-NET-Inst_3": "UVR-MDX-NET Inst 3",
10 | "UVR-MDX-NET-Inst_4": "UVR-MDX-NET Inst 4",
11 | "UVR-MDX-NET-Inst_Main": "UVR-MDX-NET Inst Main",
12 | "UVR-MDX-NET-Inst_Main_2": "UVR-MDX-NET Inst Main 2",
13 | "UVR-MDX-NET-Inst_HQ_1": "UVR-MDX-NET Inst HQ 1",
14 | "UVR-MDX-NET-Inst_HQ_2": "UVR-MDX-NET Inst HQ 2",
15 | "UVR-MDX-NET-Inst_HQ_3": "UVR-MDX-NET Inst HQ 3",
16 | "UVR_MDXNET_KARA_2": "UVR-MDX-NET Karaoke 2",
17 | "Kim_Vocal_1": "Kim Vocal 1",
18 | "Kim_Vocal_2": "Kim Vocal 2",
19 | "Kim_Inst": "Kim Inst",
20 | "MDX23C-8KFFT-InstVoc_HQ.ckpt": "MDX23C-InstVoc HQ",
21 | "Reverb_HQ_By_FoxJoy": "Reverb HQ"
22 | }
--------------------------------------------------------------------------------
/models/VR_Models/UVR-DeNoise-Lite.pth:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/Anjok07/ultimatevocalremovergui/5517e0cf0d1acd16a1618eeedec596957523f9e1/models/VR_Models/UVR-DeNoise-Lite.pth
--------------------------------------------------------------------------------
/models/VR_Models/model_data/model_data.json:
--------------------------------------------------------------------------------
1 | {
2 | "0d0e6d143046b0eecc41a22e60224582": {
3 | "vr_model_param": "3band_44100_mid",
4 | "primary_stem": "Instrumental"
5 | },
6 | "18b52f873021a0af556fb4ecd552bb8e": {
7 | "vr_model_param": "2band_32000",
8 | "primary_stem": "Instrumental"
9 | },
10 | "1fc66027c82b499c7d8f55f79e64cadc": {
11 | "vr_model_param": "2band_32000",
12 | "primary_stem": "Instrumental"
13 | },
14 | "2aa34fbc01f8e6d2bf509726481e7142": {
15 | "vr_model_param": "4band_44100",
16 | "primary_stem": "No Piano"
17 | },
18 | "3e18f639b11abea7361db1a4a91c2559": {
19 | "vr_model_param": "4band_44100",
20 | "primary_stem": "Instrumental"
21 | },
22 | "570b5f50054609a17741369a35007ddd": {
23 | "vr_model_param": "4band_v3",
24 | "primary_stem": "Instrumental"
25 | },
26 | "5a6e24c1b530f2dab045a522ef89b751": {
27 | "vr_model_param": "1band_sr44100_hl512",
28 | "primary_stem": "Instrumental"
29 | },
30 | "6b5916069a49be3fe29d4397ecfd73fa": {
31 | "vr_model_param": "3band_44100_msb2",
32 | "primary_stem": "Instrumental",
33 | "is_karaoke": true
34 | },
35 | "74b3bc5fa2b69f29baf7839b858bc679": {
36 | "vr_model_param": "4band_44100",
37 | "primary_stem": "Instrumental"
38 | },
39 | "827213b316df36b52a1f3d04fec89369": {
40 | "vr_model_param": "4band_44100",
41 | "primary_stem": "Instrumental"
42 | },
43 | "911d4048eee7223eca4ee0efb7d29256": {
44 | "vr_model_param": "4band_44100",
45 | "primary_stem": "Vocals"
46 | },
47 | "941f3f7f0b0341f12087aacdfef644b1": {
48 | "vr_model_param": "4band_v2",
49 | "primary_stem": "Instrumental"
50 | },
51 | "a02827cf69d75781a35c0e8a327f3195": {
52 | "vr_model_param": "1band_sr33075_hl384",
53 | "primary_stem": "Instrumental"
54 | },
55 | "b165fbff113c959dba5303b74c6484bc": {
56 | "vr_model_param": "3band_44100",
57 | "primary_stem": "Instrumental"
58 | },
59 | "b5f988cd3e891dca7253bf5f0f3427c7": {
60 | "vr_model_param": "4band_44100",
61 | "primary_stem": "Instrumental"
62 | },
63 | "b99c35723bc35cb11ed14a4780006a80": {
64 | "vr_model_param": "1band_sr44100_hl1024",
65 | "primary_stem": "Instrumental"
66 | },
67 | "ba02fd25b71d620eebbdb49e18e4c336": {
68 | "vr_model_param": "3band_44100_mid",
69 | "primary_stem": "Instrumental"
70 | },
71 | "c4476ef424d8cba65f38d8d04e8514e2": {
72 | "vr_model_param": "3band_44100_msb2",
73 | "primary_stem": "Instrumental"
74 | },
75 | "da2d37b8be2972e550a409bae08335aa": {
76 | "vr_model_param": "4band_44100",
77 | "primary_stem": "Vocals"
78 | },
79 | "db57205d3133e39df8e050b435a78c80": {
80 | "vr_model_param": "4band_44100",
81 | "primary_stem": "Instrumental"
82 | },
83 | "ea83b08e32ec2303456fe50659035f69": {
84 | "vr_model_param": "4band_v3",
85 | "primary_stem": "Instrumental"
86 | },
87 | "f6ea8473ff86017b5ebd586ccacf156b": {
88 | "vr_model_param": "4band_v2_sn",
89 | "primary_stem": "Instrumental",
90 | "is_karaoke": true
91 | },
92 | "fd297a61eafc9d829033f8b987c39a3d": {
93 | "vr_model_param": "1band_sr32000_hl512",
94 | "primary_stem": "Instrumental"
95 | },
96 | "0ec76fd9e65f81d8b4fbd13af4826ed8": {
97 | "vr_model_param": "4band_v3",
98 | "primary_stem": "No Woodwinds"
99 | },
100 | "0fb9249ffe4ffc38d7b16243f394c0ff": {
101 | "vr_model_param": "4band_v3",
102 | "primary_stem": "No Reverb"
103 | },
104 | "6857b2972e1754913aad0c9a1678c753": {
105 | "vr_model_param": "4band_v3",
106 | "primary_stem": "Echo",
107 | "nout": 48,
108 | "nout_lstm": 128
109 | },
110 | "f200a145434efc7dcf0cd093f517ed52": {
111 | "vr_model_param": "4band_v3",
112 | "primary_stem": "No Echo",
113 | "nout": 48,
114 | "nout_lstm": 128
115 | },
116 | "44c55d8b5d2e3edea98c2b2bf93071c7": {
117 | "vr_model_param": "4band_v3",
118 | "primary_stem": "Noise",
119 | "nout": 48,
120 | "nout_lstm": 128
121 | },
122 | "51ea8c43a6928ed3c10ef5cb2707d57b": {
123 | "vr_model_param": "1band_sr44100_hl1024",
124 | "primary_stem": "Noise",
125 | "nout": 16,
126 | "nout_lstm": 128
127 | },
128 | "944950a9c5963a5eb70b445d67b7068a": {
129 | "vr_model_param": "4band_v3_sn",
130 | "primary_stem": "Vocals",
131 | "nout": 64,
132 | "nout_lstm": 128,
133 | "is_karaoke": false,
134 | "is_bv_model": true,
135 | "is_bv_model_rebalanced": 0.9
136 | }
137 | }
--------------------------------------------------------------------------------
/requirements.txt:
--------------------------------------------------------------------------------
1 | altgraph==0.17.3
2 | audioread==3.0.0
3 | certifi==2022.12.07
4 | cffi==1.15.1
5 | cryptography==3.4.6
6 | einops==0.6.0
7 | future==0.18.3
8 | julius==0.2.7
9 | kthread==0.2.3
10 | librosa==0.9.2
11 | llvmlite
12 | matchering==2.0.6
13 | ml_collections==0.1.1
14 | natsort==8.2.0
15 | omegaconf==2.2.3
16 | opencv-python==4.6.0.66
17 | Pillow==9.3.0
18 | psutil==5.9.4
19 | pydub==0.25.1
20 | pyglet==1.5.23
21 | pyperclip==1.8.2
22 | pyrubberband==0.3.0
23 | pytorch_lightning==2.0.0
24 | PyYAML==6.0
25 | resampy==0.4.2
26 | scipy==1.9.3
27 | soundstretch==1.2
28 | torch
29 | urllib3==1.26.12
30 | wget==3.2
31 | samplerate==0.1.0
32 | screeninfo==0.8.1
33 | diffq
34 | playsound
35 | onnx
36 | onnxruntime
37 | onnxruntime-gpu
38 | onnx2pytorch
39 | SoundFile==0.11.0; sys_platform != 'darwin'
40 | PySoundFile==0.9.0.post1; sys_platform == 'darwin'
41 | Dora==0.0.3
42 | numpy==1.23.5
43 |
--------------------------------------------------------------------------------