Saravanan666/pypi-org huggingface dataset:
Package: vspleeter
# VSPLEETERGUI wrapper for the spleeter separate cmd line### Raison d’être:
I was made aware that a specific tool existed to separate audio tracks using python. As a personal challenge, I wanted to create a small GUI that would minimize shell usage for unsavy audiophiles, and allowing to execute multiple commands in a single operation, instead of having to queue them manually.### Interface Overview:
![](.documentation_resources/vspleeter_baseUI.png)##### 1- Audio Media to separate
Browse to the path of the file##### 2- Stem options
Select how you desire your audio file to be spleeted.
Note: You can select multiple options at once.##### 3- Processing Types
Select if you will run the process in CPU or GPU mode (nvidia CUDA drivers mandatory)
Note: CPU should always work, as long as you are in the right spleeter environment. As for GPU, you need to install them on your own.
As well, you can select multiple options at once.##### 4- Result directory
Browse to the location where you want to result files to be.##### 5- Process Button and Progress Bar
Execute the operations by clicking the button. The progress bar will update as the process are being executed##### 6- Result Log output
Cleaned operation output log### Usage
![](.documentation_resources/vspleeter_executedUI.png)##### Easy Steps
Select the file to separateSelect which stems options you want.Select the processing type you want to useBrowse the output directory as /var/tmpPress the process button##### Expected Result
Once the Process button is pressed, all the required operations will be running in your shell.
All the output directories will then be listed.##### Icon Copyright
split by ImageCatalog from the Noun Projecthttps://thenounproject.com/
Package: vsp-model-insight-azuretable
Installationpip install vsp-model-insight-azuretablePrerequisitesCreate an VSP Model Monitor resource and get the connection string, more information can be found in the official docs.Place your connection string directly into your code.UsageLogTheModel Performance Log Handlerallows you to export Python logs toVSP.This example shows how to send a warning level log to Azure Monitor.importloggingfromvsp_model_insight.azuretableimportModelPerformanceLogHandlerlogging.basicConfig(level=logging.DEBUG)rootlogger=logging.getLogger()handler=ModelPerformanceLogHandler(connection_string='****')rootlogger.addHandler(handler)properties={'model_signature':'demo','model_performance':{'key_1':'value_1','key_2':'value_2'}}logging.info(f"{datetime.now()}",extra=properties)ReferencesExamples
Package: vsp-model-insight-influxdb
Installationpip install vsp-model-insight-influxdbPrerequisitesCreate an VSP Model Monitor resource and get the connection string, more information can be found in the official docs.Place your connection string directly into your code.UsageLogTheModel Performance Log Handlerallows you to export Python logs toVSP.This example shows how to send a warning level log to Azure Monitor.importloggingfromdatetimeimportdatetimeimporttimeimportrandomfromvsp_model_insight_influxdb.influxdbimportModelPerformanceLogHandlerlogging.basicConfig(level=logging.DEBUG)rootlogger=logging.getLogger()handler=ModelPerformanceLogHandler(application_id="co",bucket='mybucker',org='myorg',token="*****",url="http://localhost:8086")rootlogger.addHandler(handler)properties={'model_signature':'corrosion','model_performance':{'drt':0.9,'mat':0.1}}logging.info(f"{datetime.now()}",extra=properties)ReferencesExamples
Package: vspreview
Standalone previewer for VapourSynth scriptsFork of Endilll'svapoursynth-preview(not maintained anymore)This program is meant to be paired with a code editor with integrated terminal like Visual Studio Code.PrerequisitesPython(3.10+ required)Make sure to install Python to yourPATH.VapourSynth(R60+ required)InstallationInstall latest stable via pypi:pipinstallvspreviewInstall latest git:pipinstall-Ugit+https://github.com/Jaded-Encoding-Thaumaturgy/vs-preview.gitUsageIt can be used by runningvspreview script.vpyor your preferred way inyour IDE.Keyboard ShortcutsSaved Frame Filename VariablesIDE IntegrationVisual Studio CodeVimNotepad++PluginsYou can install external plugins by using the following command:vspreviewinstall[plugin-name]A list of plugins can be found inthis repo.plugin-nameis the name of the plugin directory in the repo.To develop new plugins or manually install them, create a .ppy file inside the global plugins directory. You can find the path to that in the storage file. You can add additional search paths by adding them to a .pth file inside the global plugins directory, just like you can with python path and site-packages.
Package: vspscripts
The VSP DatasetDataset StructureThe folder structure of the VSP dataset is as follows:{root}/{split}/{date}/{profile}/{defect}/{layer}___{board}_{number}{type}{ext}The meaning of the individual elements is:rootthe root folder of the Cityscapes dataset. Many of our scripts check if an environment variableVSP_DATASETpointing to this folder exists and use this as the default choice.splitthe split, i.e. train/val/test/train_extra/demoVideo. Note that not all kinds of data exist for all splits. Thus, do not be surprised to occasionally find empty folders.datatime of data collection. eg. AIVS_20xx_xx_xx.profileID of images generated by computer Aided Manufacturing.defectpositive and negative defects.layerlayer number of multi-layer PCB.boardID of PCB images.numbernumber of defects.extthe extension of the file and optionally a suffix, e.g._labelTrainIds.pngfor ground truth filesMore types might be added over time and also not all types are initially available. Please let us know if you need any other meta-data to run your approach.Possible values ofsplittrainusually used for training, contains 2975 images with fine and coarse annotationsvalshould be used for validation of hyper-parameters, contains 500 image with fine and coarse annotations. Can also be used for training.ScriptsInstallationInstallvspscriptswithsetup.pypython setup.py build
python setup.py sdist
pip install . # or "python setup.py install"Installvspscriptsin developpython setup.py build
python setup.py develop 

# uninstall in develop 
python setup.py develop --uninstallInstallvspscriptswithpippython -m pip install vspscriptsGraphical tools (viewer and label tool) are based on Qt5 and can be installed viapython -m pip install vspscripts[gui]UsageThe installation installs the vspscripts scripts as a python module namedvspscriptsand exposes the following toolsPackage ContentThe package is structured as followshelpers: helper files that are included by other scriptsviewer: view the images and the annotationspreparation: convert the ground truth annotations into a format suitable for your approachevaluation: validate your approachannotation: the annotation tool used for labeling the datasetNote that all files have a small documentation at the top. Most important fileshelpers/labels.py: central file defining the IDs of all semantic classes and providing mapping between various class properties.
Package: vspscripts-python
The VSP DatasetDataset StructureThe folder structure of the VSP dataset is as follows:{root}/{split}/{date}/{profile}/{defect}/{layer}___{board}_{number}{type}{ext}The meaning of the individual elements is:rootthe root folder of the Cityscapes dataset. Many of our scripts check if an environment variableVSP_DATASETpointing to this folder exists and use this as the default choice.splitthe split, i.e. train/val/test/train_extra/demoVideo. Note that not all kinds of data exist for all splits. Thus, do not be surprised to occasionally find empty folders.datatime of data collection. eg. AIVS_20xx_xx_xx.profileID of images generated by computer Aided Manufacturing.defectpositive and negative defects.layerlayer number of multi-layer PCB.boardID of PCB images.numbernumber of defects.extthe extension of the file and optionally a suffix, e.g._labelTrainIds.pngfor ground truth filesMore types might be added over time and also not all types are initially available. Please let us know if you need any other meta-data to run your approach.Possible values ofsplittrainusually used for training, contains 2975 images with fine and coarse annotationsvalshould be used for validation of hyper-parameters, contains 500 image with fine and coarse annotations. Can also be used for training.ScriptsInstallationInstallvspscriptswithsetup.pypython setup.py build
python setup.py sdist
pip install . # or "python setup.py install"Installvspscriptsin developpython setup.py build
python setup.py develop 

# uninstall in develop 
python setup.py develop --uninstallInstallvspscriptswithpippython -m pip install vspscriptsGraphical tools (viewer and label tool) are based on Qt5 and can be installed viapython -m pip install vspscripts[gui]UsageThe installation installs the vspscripts scripts as a python module namedvspscriptsand exposes the following toolsPackage ContentThe package is structured as followshelpers: helper files that are included by other scriptsviewer: view the images and the annotationspreparation: convert the ground truth annotations into a format suitable for your approachevaluation: validate your approachannotation: the annotation tool used for labeling the datasetNote that all files have a small documentation at the top. Most important fileshelpers/labels.py: central file defining the IDs of all semantic classes and providing mapping between various class properties.
Package: vspyplugin
vs-pypluginPackage for simplifying writing VapourSynth "plugins" in python.Backends wrapper classes and helper functions for python plugins.Original concept this is inspired from is byWolframRhodium.For support you can check out theJET Discord server.How to installInstallvspypluginwith the following command:pipinstallvspypluginOr if you want the latest git version, install it with this command:pipinstallgit+https://github.com/Jaded-Encoding-Thaumaturgy/vs-pyplugin.git
Package: vsq
VALVE-Server Queries✨基于A2S协议，一款可以查询求生服务器状态的库✨✨Based on the agreement with the Left 4 Dead 2 server, a library that can query the status of the survival server.✨## Description说明
        目标是实现服务器全链接(1/N)🎉 available已实现ipv4连接到求生之路2服务器并返回基本信息(A2S_INFO)ipv4连接到求生之路2服务器并返回在线玩家信息(A2S_PLAYER)📖 to do list可能会做暂无👌 pip安装pip install VSQ📖 use使用函数包括# 总信息
    server  (ip : str , port : int , times = 60) -> dict
    ip:ipv4 ,port:端口号 , times 默认为60,也就是说一分钟内同时调用任意函数，服务器将使用第一次的缓存，这可以使得防止被当做DDOS
    # 格式 {'header':xx,'protocol':xxx,...}
    header, protocol, name, map_, folder, game, appid, players, max_players, bots, server_type, environment, visibility, vac, version, edf
    # 分别代表服务器返回的参数# 玩家信息
    players (ip : str , port : int , times = 60) -> dict:
    # 格式
    {
    'header':1,
    'Players':
        [{
            'Index':0,
            'Name':xxx,
            'Score':114514,
            'Duration':int but who care
        },
        {
            ...
        }
        ]
    }🍻 exemple示例代码如果我想要获取服务器名字/地图/玩家数量
    from VSQ import l4d2
    ip:str = '127.0.0.1' 
    port:int = 20715 
    name = l4d2.name(ip,port)
    map_ = l4d2.map_(ip,port)
    players = await l4d2.players(ip,port)
    print(name)
    print(map_)
    print(players)

如果我想要获取服务器所有信息的字典（所有的键在上面，其中edf是bytes类，后面还有额外的附带信息所以有21个键对，如果有需求可以看源代码
    from VSQ import l4d2
    ip:str = '127.0.0.1' 
    port:int = 20715 
    server_dict = await l4d2.server(ip,port)
    print(server_dict)

    from VSQ import l4d2
    ip:str = '127.0.0.1' 
    port:int = 20715 
    players_data =  await l4d2.players(ip,port)
    players_number = players_data['header']
    for i in players_data['Players'][0]
        print('player_name',i['Name'])🌐 Communicate with me联系我email:Z735803792@163.com
Package: vsr53
VSR53This is a Python library to communicate withThyracont's VSR53USB pressure gauge. It
should also work with the VSR53DL model (over RS485) but I haven't tested it as
I don't have access to one.This library is a fork ofthis repository. All credits go to
the original author.The original library was designed for the RS485 protocol and does not work out
of the box for the USB version of this sensor, however, with some minor
modifications such as allowing the user to set the baudrate and updating the
default value (to 9600 instead of 115200) it works perfectly.InstallationThis library isavailable in PyPIand can be
installed with pip:pipinstallvsr53Usagefromvsr53importVSR53USBport="/dev/ttyUSB0"# replace with the device port of your gaugewithVSR53USB(port)asgauge:print(gauge.get_device_type())print(gauge.get_product_name())print(gauge.get_measurement_value())
Package: vsrc
Vsrc is a developer tool that finds and displays a module’s Python source
file by searching the Module Search Path, which means the list of directories
given by sys.path, the current directory, PYTHONPATH, and the installation-
dependent default path. Therefore, Vsrc can find standard modules (like
‘string’ and ‘os.path’), 3rd-party modules (like pygame), and user-defined
modules. Vsrc works from both the command-line and from inside of Python’s
interactive mode.Note that not all modules include Python source, for example, ‘sys’ is a
C Built-in. If a .py file for the module is found, it’s displayed after first
checking the value of the optional environment variable VSRC_VIEWER. If
VSRC_VIEWER isn’t set, then Vsrc will attempt to use the “less” pager (if it
exists in the system PATH), otherwise it uses “more”.The value of VSRC_VIEWER can be any viewer you like, such as a normal text
editor like vim or notepad, or a pager program like less or more.Vsrc is platform-independent.Since Vsrc 0.1 (which was created July 16th, 2003) Vsrc has been rewritten
as of July 30th, 2009 and includes some changes…It now uses VSRC_VIEWER as an environment variable, instead of PAGER.It now will work in Windows using cmd.exe. The default viewer it uses is
less.exe, if you have it in your path, otherwise it uses more.exe (which
comes with Windows) but you can also create a VSRC_VIEWER environment
variable to use another viewer, such as notepad. To get less.exe, visithttp://gnuwin32.sourceforge.net/packages/less.htm. If you get the setup
program it will install less.exe into C:Program FilesGnuWin32bin. Make
sure you add this directory to your Windows %PATH%.InstallingThe preferred way is to use install it from pypi using pip:$ pip install vsrcthis way you can install it into any virtualenv’s you might have. Or into
your main python installation (by running: sudo pip install vsrc). And you’ll
also be able to uninstall it with:$ pip uninstall vsrcIf you want to run it manually from source code, you can download the tarball
from pypi or clone fromhttps://github.com/rkulla/vsrc.gitand run:$ sudo python setup.py installthis will install the command-line script ‘vsrc’ in your bin directory and it
will install the vsrc.py module into your dist-packages directory.UsageTypical usage looks like this:Command-line: $ vsrc <module>

Interactive mode:  >>> import vsrc
                   >>> vsrc.vsrc('<module>')ExamplesTo see the “socket” module’s corresponding socket.py source file, type:$ vsrc socketor from within Python’s interactive-mode, type:>>> import vsrc
>>> vsrc.vsrc('socket')and vsrc will automatically find socket.py–which, if you use Linux, would
be something like /usr/lib/python/socket.py– and load in your viewer.To seek out and view Pygame’s sprite module’s source code, type:$ vsrc pygame.spriteor:>>> from vsrc import vsrc
>>> vsrc('pygame.sprite')To view a Python source file from the current directory, do:>>> vsrc('foo')as long as you have a file called ‘foo.py’ in the current dir.
Package: vsrealesrgan
Real-ESRGANTraining Real-World Blind Super-Resolution with Pure Synthetic Data, based onhttps://github.com/xinntao/Real-ESRGAN.DependenciesNumPyPyTorch1.13.1VapourSynthR55+trtrequires additional runtime libraries:CUDA Toolkit11.7cuDNN8.6TensorRT8.5.3.1For ease of installation on Windows, you can download the 7z file onReleaseswhich contains required runtime libraries and Python wheel file. Either add the unzipped directory to your systemPATHor copy the DLL files to a directory which is already in your systemPATH. Finally pip install the Python wheel file.Installationpip install -U vsrealesrgan
python -m vsrealesrganUsagefromvsrealesrganimportrealesrganret=realesrgan(clip)See__init__.pyfor the description of the parameters.
Package: vs-rename
vscode but for file namesquick script that helps you mass-edit file names with vscodemotivation: i wanted to multi-cursor edit my file names but didn't see anything that let me do thathow to useinstall vscode (optional), and python 3install the package using pip:pip install vs-renameopen the programren-vs. if no arguments for path are supplied it will use the cwdvscode will open with a list of the file names in that directory. change those as you pleasesave the file and close itthe files will be renamed according to how you changed it in vscodehopefully nothing broke
Package: vsrife
RIFEReal-Time Intermediate Flow Estimation for Video Frame Interpolation, based onhttps://github.com/hzwer/Practical-RIFE.DependenciesPyTorch2.0.1 or laterVapourSynthR62 or latervs-miscfilters-obsolete(only needed for scene change detection)trtrequires additional runtime libraries:CUDA Toolkit12.1cuDNN8.9TensorRT8.6.1For ease of installation on Windows, you can download the 7z file onReleaseswhich contains required runtime libraries and Python wheel file. Either add the unzipped directory to your systemPATHor copy the DLL files to a directory which is already in your systemPATH. Finally pip install the Python wheel file.Installationpip install -U vsrife
python -m vsrifeUsagefromvsrifeimportriferet=rife(clip)See__init__.pyfor the description of the parameters.
Package: vss
VSSSimple, safe parsing utilities forGENIVI's Vehicle Signal Specification.Pintis used for unit parsing andtypeguardis used for type safety.CompatibilityThis package works for specifications compatible with VSS spec 2.0.InstallYou may install this via git:pip3installgit+ssh://git@github.com/XevoInc/vss.git#egg=vssDevelopmentWhen developing, it is recommended to use Pipenv. To create your development environment:pipenvinstall--devTestingTo run test suite:pipenvrunpython-munittest
Package: vsscale
vs-scaleVapourSynth (de)scale functionsWrappers for scaling and descaling functions.For support you can check out theJET Discord server.How to installInstallvsscalewith the following command:pipinstallvsscaleOr if you want the latest git version, install it with this command:pipinstallgit+https://github.com/Jaded-Encoding-Thaumaturgy/vs-scale.git
Package: vsscunet
SCUNetPractical Blind Denoising via Swin-Conv-UNet and Data Synthesis, based onhttps://github.com/cszn/SCUNet.DependenciesNumPyPyTorch1.13VapourSynthR55+Installationpip install -U vsscunet
python -m vsscunetUsagefromvsscunetimportscunetret=scunet(clip)See__init__.pyfor the description of the parameters.
Package: vss-tools
COVESA VSS Tools Official DistributionIntroductionVSS-Tools is a collection of tools developed byCOVESAto validate and transform
signal catalogs defined by the COVESA Vehicle Signal Specification (VSS) syntax. The PyPI packaging of VSS-tools
provide tools for converting VSS source files (*.vspec) to:CSVDDS IDLJSONYamlFranca IDLProtobufGraphQLInstalling vss-toolsIf you just want the latest version this should be sufficient:pipinstallvss-toolsWhen installed tools likevspec2x.pyshall be available on your path.For more information see theVSS-Tools wikiUsageFor more information please visit theCOVESA VSS-Tools repository.Pip versioningThis is the versions types that may exist in PyPI for vss-tools and used for local pip install (pip install -e .)X.Y or X.Y.Z - A released version.X.Y.devN, N starting from 0 - Developer builds - may be published to PyPI if needed for testing purposes.X.YaN, N starting from 0 - Pre-releases, may be published to PyPI if needed for testing purposes.X.YrcN, N starting from 0 - Release candidates, to be published around two weeks before a major/minor release.ReferencesFor more information on VSS and VSS-Tools please visitCOVESA homepageCOVESA VSS Github repositoryCOVESA VSS-Tools repositoryCOVESA VSS Wiki
Package: vsswinir
SwinIRImage Restoration Using Swin Transformer, based onhttps://github.com/JingyunLiang/SwinIR.DependenciesNumPyPyTorch1.13VapourSynthR55+Installationpip install -U vsswinir
python -m vsswinirUsagefromvsswinirimportswinirret=swinir(clip)See__init__.pyfor the description of the parameters.
Package: vs-tabletop
Virtual Scanner Tabletop Web GamesVirtual Scanner Tabletop is an extension toVirtual Scannerthat comprises of educational games about MRI that can be run by simulation or connected to a real educational MRI scanner. Target audience include high school, college, and post-grad students as well as members of the MR and scientific community at large.QuickstartMethod 1:pip installOn the command line, make a new virtual environment.pip install vs-tabletopcd into the main folder called "vstabletop" (venv\Lib\site-packages\vstabletop) and runapp.py. Click into the link in the program output (examplee:http://127.0.0.1:5000/). Log in as admin using password123456.Troubleshooting(version 1.0.0b5) - You might encounter problems with installing Kiwisolver which requires Visual C++. If you have trouble getting the Visual C++, you can ignore the kiwisolver and perform the following steps:Install vs-tabletop without dependencies:pip install vs-tabletop==1.0.0b4 --no-depsAfter it's installed, findrequirements.txtin thevstabletopfolder and remove thekiwisolver==1.0.1lineInstall the rest of the requirements:pip install -r requirements.txtRunapp.pythe same way as described above. The games should be able to run normally.Method 2: CloningClone the repository.Make a virtual environment, activate it, and install everything specified inrequirements.txtcdinto the app directory and runquestions.pyto set up the database.Run the app in one of two ways:
(a) Run app.py using Pycharm or other IDE, or on the command line withpython app.py(b) On the command line, set the FLASK_APP variable (set FLASK_APP=appon Windows, orexport FLASK_APP=appon non-Windows). Then run the app with:flask runClick into the link in the program output (example:http://127.0.0.1:5000/) or copy & paste it into the browser. Log in as admin using password123456.Please provide feedback here after you've tried all the beginner games:smile::https://forms.gle/HMby4NHcmrTLi5Ai7Tabletop GamesThe eight tabletop games are grouped into 4 pairs, each containing a "beginner" game and an "advanced" game.
Games 1, 3, 5, 7 are beginner games and the games 2, 4, 6, 8 are advanced games.#GameConceptsr1What's in an image?FOV, resolution, windowing2K-space magiKprojection imaging, k-space3Brains, please!contrast, T1/T2/PD, TR/TE/FA4Fresh bloodflow imaging5Proton's got movesM9, precession, RF pulses, signal detection6Relaxation stationT1 and T2 relaxation, FID7Puzzled by projection I1D and 2D projection (forward)8Puzzled by projection II1D and 2D projection (inverse)ScreenshotsScreenshots are in-development previews of the games. They will be updated at the first release.Login pageGame navigationModule 1 (beginner): What's in an image?Module 2 (beginner): Brains, please!Module 3 (beginner): Proton's got movesModule 4 (beginner): Puzzled by Projection IReferencesBrain images from the Coursera Neurohacking in R (https://www.kaggle.com/datasets/ilknuricke/neurohackinginrimages) were used in Game 2.
Package: vstask
vstaskCLI for VSCode tasksInstallationpipinstallvstaskUsage$vstask-h
usage:vstask[-h][--version][-l][-t][--completion][TASK[TASK...]]positionalarguments:TASK

optionalarguments:-h,--helpshowthishelpmessageandexit--versionprintversioninformation-l,--listlistavailabletasks-t,--timeprintruntimeinformation--completionbashtab-completion;usage:source<(vstask--completion)ChangelogAdd MANIFEST.in to include essential non-source files (da30428)