Saravanan666/pypi-org huggingface dataset:
Package: vocles
voclesvocalizationtablesaudio_pathspect_pathannot_pathgr41yw36-USVs-2022-01-09-0734-001.wavgr41yw36-USVs-2022-01-09-0734-001.wav.spect.npzgr41yw36-USVs-2022-01-09-0734-001.TextGridgr41yw36-USVs-2022-01-09-0734-002.wavgr41yw36-USVs-2022-01-09-0734-002.wav.spect.npzgr41yw36-USVs-2022-01-09-0734-002.TextGrid.........a lightweight tool for building datasets of vocalizations
Package: vocode-api
Vocode Python LibraryDocumentationAPI documentation is available athere.InstallationAdd this dependency to your project's build file:pipinstallvocode-api# orpoetryaddvocode-apiUsagefromvocode.clientimportVocodevocode_client=Vocode(token="YOUR_API_KEY")action_response=vocode_client.actions.get_action(id="action_id");print(action_response)Async Clientfromvocode.clientimportAsyncVocodeimportasynciovocode_client=AsyncVocode(token="YOUR_API_KEY")asyncdefget_action()->None:action_response=vocode_client.actions.get_action(id="action_id");print(token_response)asyncio.run(action_response())TimeoutsBy default, the client is configured to have a timeout of 60 seconds. You can customize this value at client instantiation.fromvocode.clientimportVocodevocode_client=Vocode(token="YOUR_API_KEY",timeout=15)Handling ExceptionsAll exceptions thrown by the SDK will sublcassvocode.ApiError.fromvocode.coreimportApiErrorfromvocodeimportUnprocessableEntityErrortry:vocode_client.actions.get_action(id="action_id");exceptUnprocessableEntityErrorase:# handle specific errorexceptAPIErrorase:# handle any api related errorError codes are as followed:Status CodeError Type422UnprocessableEntityErrorBeta statusThis SDK is in beta, and there may be breaking changes between versions without a major version update. Therefore, we recommend pinning the package version to a specific version in your pyproject.toml file. This way, you can install the same version each time without breaking changes unless you are intentionally looking for the latest version.ContributingWhile we value open-source contributions to this SDK, this library is generated programmatically. Additions made directly to this library would have to be moved over to our generation code, otherwise they would be overwritten upon the next generated release. Feel free to open a PR as a proof of concept, but know that we will not be able to merge it as-is. We suggest opening an issue first to discuss with us!On the other hand, contributions to the README are always very welcome!
Package: vocore-screen
Python wrapper for Vocore ScreensThis repo includes some python helper scripts to easily interface with theVoCore Screen v2.
Internally PyUSB is used, which in turn uses libusb.For now this has only been tested with the 4" VoCore Screen v2 (with touch). This should also work with the 4.3" version.
As the 5" version has a slightly higher resolution, this will most likely not work. Adjusting theFRAME_SIZEinimage.pyand the command inscreen.VocoreScreen._write_startcould possibly fix this.For usage check theexample.py- it should be pretty straightforward.Working featuresSetting screen brightnessSending images to the screenDrawing horizontal/vertical linesDrawing rectsDrawing textNot working (yet)Getting touch events (Should be interrupt endpoint at 0x81 with a length of 128 bytes)Getting startedLinuxMake sure your screen in plugged inMake surelibusbis installedIf you want to use the scripts as non-root, make sure to add a rule to /etc/udev/rules.d/WindowsDownload and install theLibUSBkdriver from theVoCore HomepageNow runexample.py. If everything worked, your screen should now show some test content.
Package: vocos
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesisAudio samples|
Paper[abs][pdf]Vocos is a fast neural vocoder designed to synthesize audio waveforms from acoustic features. Trained using a Generative
Adversarial Network (GAN) objective, Vocos can generate waveforms in a single forward pass. Unlike other typical
GAN-based vocoders, Vocos does not model audio samples in the time domain. Instead, it generates spectral
coefficients, facilitating rapid audio reconstruction through inverse Fourier transform.InstallationTo use Vocos only in inference mode, install it using:pipinstallvocosIf you wish to train the model, install it with additional dependencies:pipinstallvocos[train]UsageReconstruct audio from mel-spectrogramimporttorchfromvocosimportVocosvocos=Vocos.from_pretrained("charactr/vocos-mel-24khz")mel=torch.randn(1,100,256)# B, C, Taudio=vocos.decode(mel)Copy-synthesis from a file:importtorchaudioy,sr=torchaudio.load(YOUR_AUDIO_FILE)ify.size(0)>1:# mix to monoy=y.mean(dim=0,keepdim=True)y=torchaudio.functional.resample(y,orig_freq=sr,new_freq=24000)y_hat=vocos(y)Reconstruct audio from EnCodec tokensAdditionally, you need to provide abandwidth_idwhich corresponds to the embedding for bandwidth from the
list:[1.5, 3.0, 6.0, 12.0].vocos=Vocos.from_pretrained("charactr/vocos-encodec-24khz")audio_tokens=torch.randint(low=0,high=1024,size=(8,200))# 8 codeboooks, 200 framesfeatures=vocos.codes_to_features(audio_tokens)bandwidth_id=torch.tensor([2])# 6 kbpsaudio=vocos.decode(features,bandwidth_id=bandwidth_id)Copy-synthesis from a file: It extracts and quantizes features with EnCodec, then reconstructs them with Vocos in a
single forward pass.y,sr=torchaudio.load(YOUR_AUDIO_FILE)ify.size(0)>1:# mix to monoy=y.mean(dim=0,keepdim=True)y=torchaudio.functional.resample(y,orig_freq=sr,new_freq=24000)y_hat=vocos(y,bandwidth_id=bandwidth_id)Integrate with 🐶Barktext-to-audio modelSeeexample notebook.Pre-trained modelsModel NameDatasetTraining IterationsParameterscharactr/vocos-mel-24khzLibriTTS1M13.5Mcharactr/vocos-encodec-24khzDNS Challenge2M7.9MTrainingPrepare a filelist of audio files for the training and validation set:find$TRAIN_DATASET_DIR-name*.wav>filelist.train
find$VAL_DATASET_DIR-name*.wav>filelist.valFill a config file, e.g.vocos.yaml, with your filelist paths and start training with:pythontrain.py-cconfigs/vocos.yamlRefer toPytorch Lightning documentationfor details about customizing the
training pipeline.CitationIf this code contributes to your research, please cite our work:@article{siuzdak2023vocos,
  title={Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis},
  author={Siuzdak, Hubert},
  journal={arXiv preprint arXiv:2306.00814},
  year={2023}
}LicenseThe code in this repository is released under the MIT license as found in theLICENSEfile.
Package: vocutil
Vocabulary utilities for educators and education platforms.DescriptionThis is a collection of utilities useful for generating and manipulating vocabulary lists (words and definitions) for educational use.InstallationInstall vocutil with:pip install vocutilor add as a poetry dependency.If you desire a package locally built with poetry, download the
source, change the appropriate lines inpyproject.toml, and
rebuild.UsageCopyright and LicenseSPDX-License-Identifier:GPL-3.0-or-latervocutil, educational vocabulary utilities.Copyright (C) 2022Jeremy A Gray.This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or (at
your option) any later version.This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
General Public License for more details.You should have received a copy of the GNU General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.AuthorJeremy A Gray
Package: vodacompay
vodacompay.DocumentationHow to Install#Interminaldo:$pipinstallvodacompayBuilding from Source for Developers$gitclonehttps://github.com/TralahM/vodacompay.git$cdvodacompay$pythonsetup.pyinstallContributingSee the Contributing FileSee the Pull Request FileSupportLICENCERead the license hereSelf-Promotion
Package: vodcsite.policy
This is the “policy” package for the web site for the Virtual Oceanographic
Data Center (VODC).  Its job is to orchestrate the package dependencies and
configure them to transform an ordinaryPlonesite into the VODC site.It was developed by the Jet Propulsion Laboratory (JPL).InstallationUseBuildoutwith the plone.recipe.zope2instance recipe.Addvodcsite.policyto the list of eggs to install, e.g.:[buildout]
...
eggs =
    ...
    ipdasite.policyRe-run buildout, e.g. with:$ ./bin/buildoutYou don’t need to specify a ZCML slug because this package uses anautomatic
inclusion mechanism.Changelog1.0.1 — Missing FilesSeveral files were missing in 1.0.0.  1.0.1 has them.1.0.0 — Cleaned UpThis release makes vodcsite.policy compatible with Plone 4 and marks an
official release as a Python egg.0.0.0 — UnreleasedInitial releaseCopyright and LicenseCopyright © 2008–2012 by the California Institute of Technology.  ALL RIGHTS
RESERVED.The Software is owned by Caltech/JPL and is protected by United States
copyright laws and applicable international treaties and/or conventions.  The
United States Government may have prior rights to use some or all of the
Software as determined under applicable contracts and license agreements with
Caltech/JPL.This software was developed at the Jet Propulsion Laboratory, an operating
division of the California Institute of Technology and is not available for
use by any person, organization, or other entity without prior, specific
written permission.
Package: vodcsite.theme
This package provides the theme (or “skin”) for theVODCwebsite (powered byPlone).It was developed by the Jet Propulsion Laboratory (JPL).InstallationUseBuildoutwith the plone.recipe.zope2instance recipe.Addvodcsite.themeto the list of eggs to install, e.g.:[buildout]
...
eggs =
    ...
    vodcsite.themeRe-run buildout, e.g. with:$ ./bin/buildoutYou don’t need to specify a ZCML slug because this package uses anautomatic
inclusion mechanism.Changelog1.0.0 — Cleaned UpThis release makes vodcsite.theme compatible with jpl.ngtheme and marks an
official release as a Python egg.0.0.0 – UnreleasedInitial releaseCopyright and LicenseCopyright © 2008–2012 by the California Institute of Technology.  ALL RIGHTS
RESERVED.The Software is owned by Caltech/JPL and is protected by United States
copyright laws and applicable international treaties and/or conventions.  The
United States Government may have prior rights to use some or all of the
Software as determined under applicable contracts and license agreements with
Caltech/JPL.This software was developed at the Jet Propulsion Laboratory, an operating
division of the California Institute of Technology and is not available for
use by any person, organization, or other entity without prior, specific
written permission.
Package: vodc.solr
This package provides a user interface from theVODCwebsite (powered byPlone) to theSOLRbackend which has indexedallthe oceanographic data.It was developed by the Jet Propulsion Laboratory (JPL).InstallationUseBuildoutwith the plone.recipe.zope2instance recipe.Addvodc.solrto the list of eggs to install, e.g.:[buildout]
...
eggs =
    ...
    vodc.solrRe-run buildout, e.g. with:$ ./bin/buildoutYou don’t need to specify a ZCML slug because this package uses anautomatic
inclusion mechanism.Changelog1.0.0 — Cleaned UpThis release makes vodc.solr compatible with Plone 4 and marks an official
release as a Python egg.0.0.0 - UnreleasedInitial releaseCopyright and LicenseCopyright © 2008–2012 by the California Institute of Technology.  ALL RIGHTS
RESERVED.The Software is owned by Caltech/JPL and is protected by United States
copyright laws and applicable international treaties and/or conventions.  The
United States Government may have prior rights to use some or all of the
Software as determined under applicable contracts and license agreements with
Caltech/JPL.This software was developed at the Jet Propulsion Laboratory, an operating
division of the California Institute of Technology and is not available for
use by any person, organization, or other entity without prior, specific
written permission.
Package: vod-dl
vod-dlA highly customizable and fast command line program to download twitch vodsUsage:

     vod-dl [OPTIONS]

    Options:
     -g GAMES         games you want the vods to have (optional, default is any)

     -s STREAMERS     the streamers whose vods you want to download, you can 
                      specify "all" (optional, default is all)

     -d DATES         the dates to download from, options are: "today", "yesterday", 
                      or "month/day/year" (optional, default is today)

     -f FOLDER        the folder to download the vods to (optional, default is current 
                      dir)

     -q QUALITY       the quality you want your downloaded vods, options are: high, 
                      medium, low (optional, default is you have to choose)

     -m FILETYPE      the filetype of the vods you want to download (optional, default 
                      is mp4)

     -c CONFIG        the xml file(s) that include the streamers whose vods you want to 
                      download from, it is a more permanent and shortened version of streamers, 
                      to choose from this specify all for streamers (optional, default is config.xml 
                      in current directory)

     -h               display this help message and exit
Package: vodem-vodafone-K4607-Z
SynopsisVodem Vodafone K4607-Z Web Interface Python bindingsCode ExampleUse the simple interface:import vodem.simple

vodem.simple.sms_send("+16175551212", "Message String")

inbox = list(vodem.simple.sms_inbox_unread())

vodem.simple.sms_delete(1)For more advanced features, use the raw api:import vodem.api
import vodem.util

message = vodem.util.encode_sms_message("Message String")
time = vodem.util.encode_time(datetime.datetime.now())
number = "+16175551212;"

vodem.api.sms_send({'Number' : number, 'sms_time' : time, 'MessageBody' : message })Exception handling:import vodem.api
import vodem.exceptions

try:
    vodem.api.disconnect_network()
except vodem.exceptions.VodemError as exc:
    raiseFor more examples consult the examples directoryMotivationThis interface is built to integrate sms capability into an application, or other functions of the vodem that are exposed via the web interface.It requires the hardware vodem and activated sim card.InstallationUsing PyPipip install vodem-vodafone-K4607-ZUsing Gitgit clone https://github.com/alzeih/python-vodem-vodafone-K4607-Z.git
cd python-vodem-vodafone-K4607-Z
python setup.py build
python setup.py installAPI ReferenceSeehttp://python-vodem-vodafone-k4607-z.readthedocs.org/TestsWarningAs some of the tests are potentially destructive, expensive, or annoying to others, it is best to run tests in a device without a sim card.To ensure you have been made aware of the risks, read test/unit/api/__init__.py for instructions.Unfortunately this restriction doesn’t work without the top test module specified explicitly as this places unittest into discovery mode which ignores the load_tests protocol.Running Testspython -m unittest testContributorsBugs, Feature requests, Documentation, and Contributions are tracked via this respository.This project adheres to theOpen Code of Conduct. By participating, you are expected to honor this code.All code should be checked with pylint, tested and documented.LicenseMIT. See LICENCE.
Package: vodex
VoDEx: Volumetric Data and Experiment managerVoDEx is an open-source Python library that streamlines the management and analysis of volumetric functional imaging data. It offers a suite of tools for creating, organizing, and storing information pertaining to image acquisition and time annotation. Additionally, it allows for the retrieval of imaging data based on specific experimental conditions, enabling researchers to access and analyze the data easily. VoDEx is available as both a standalone Python package and a napari plugin, providing a user-friendly solution for processing volumetric functional imaging data, even for researchers without extensive programming experience.InstallationYou can installvodexviapip:pip install vodexor via conda:conda install vodex -c conda-forgeDocumentationTo get started with vodex, please refer to theDocumentation. The documentation is continuously updated through the use of mkdocs and mkdocstrings packages, as well as GitHub actions, ensuring that any changes to the API are promptly reflected in the documentation.AboutVoDEx is designed to address the challenges in functional imaging studies where accurate synchronization of the time course of experimental manipulations and stimulus presentations with resulting imaging data is crucial for analysis. It integrates the information about individual image frames, volumes, and experimental conditions and allows the retrieval of sub-portions of the 3D-time series datasets based on any of these identifiers. It logs all information related to the experiment into an SQLite database, enabling later data verification and sharing in accordance with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles.VoDEx is implemented as anapari pluginfor interactive use with a GUI and as an open-sourcePython package, making it a useful tool for image analysis and allowing for integration into a wide range of analysis pipelines.Use CasesVoDEx has been successfully applied in the study of numerosity estimation in zebrafish larvae, where it played a key role in the processing of whole-brain functional imaging data acquired using light-sheet fluorescence microscopy. The implementation was carried out in Jupyter notebooks, as well as in a custom Python package specifically designed for this study, showcasing the versatility of integrating VoDEx into a comprehensive analysis pipeline. Full analysis pipelines for different numerosity stimuli combinations are available as sets of Jupyter notebooks atgithub.com/LemonJust/numanunder notebooks/individual datasets.ContributingContributions are very welcome. Tests can be run with [tox], please ensure
the coverage at least stays the same before you submit a pull request.LicenseDistributed under the terms of the [BSD-3] license,vodexis free and open source softwareCiting VoDExIf you use VoDEx in your research, please cite our paper:Nadtochiy, A., Luu, P., Fraser, S. E., & Truong, T. V. (2023). VoDEx: a Python library for time annotation and management of volumetric functional imaging data. arXiv preprint arXiv:2305.07438.
Package: vodin
OdinSuper Fast and super cheap object detection at massive scale in less than 10 lines of code!AppreciationLucidrainsAgoriansInstallpip install vodinUsageHere are three examples demonstrating the usage of theOdinclass from your provided code:Example 1: Basic Usage# Import the necessary modules and classesfromodinimportOdin# Initialize the Odin object with paths and thresholdsodin=Odin(source_weights_path="yolo.weights",source_video_path="input_video.mp4",target_video_path="output_video.mp4",confidence_threshold=0.3,iou_threshold=0.7)# Run the object to process the videoodin.run()Example 2: Custom Parameters# Import the necessary modules and classesfromodinimportOdin# Initialize the Odin object with custom parametersodin=Odin(source_weights_path="custom_yolo.weights",source_video_path="input_video.mp4",target_video_path="output_video.mp4",confidence_threshold=0.5,iou_threshold=0.6)# Run the object to process the videoodin.run()Example 3: Advanced Usage# Import the necessary modules and classesfromodinimportOdin# Initialize the Odin object with paths and thresholdsodin=Odin(source_weights_path="yolo.weights",source_video_path="input_video.mp4",target_video_path="output_video.mp4",confidence_threshold=0.3,iou_threshold=0.7)# Customize further configurations if neededodin.tracker.set_max_distance(50)odin.box_annotator.set_box_color((0,255,0))odin.model.set_device("cuda")# Run the object to process the videoodin.run()ArchitectureOdin utilizes YoloV7, weights can be downloaded hereLicenseMIT
Package: vodka
vodkavodka is a plugin based real-time web service daemon.InstallpipinstallvodkaDocumentation (work in progress)http://vodka.readthedocs.io/LicenseCopyright 2016-2019 20C, LLCLicensed under the Apache License, Version 2.0 (the "License");
you may not use this software except in compliance with the License.
You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Package: vod-python-sdk
Vod Python SDK is the official software development kit, which allows Python developers to write software that makes use of Vod services.The SDK works on Python versions:2.7 and greater, including 3.xQuick StartFirst, install the library:$pipinstallvod-python-sdkor download source code from github and install:$gitclonehttps://github.com/tencentyun/vod-python-sdk.git$cdvod-python-sdk$pythonsetup.pyinstall
Package: vodscrepe
vodscrepeDescriptionThis PyPI package is best described as a tool for scraping thevods.cowebsite. Currently, the package only supports Super Smash Bros. Melee vods.InstallationWithPythoninstalled, simply run the following command to add the package to your project.python-mpipinstallvodscrepeUsageThe following is an example usage of the package, which is also included in the repo asexample.py:fromtqdmimporttqdmfromvodscrepeimportScrapers=Scraper('melee')try:forvodins.scrape(show_progress=True):tqdm.write(str(vod))exceptKeyboardInterrupt:tqdm.write("Scraping terminated.")This example lists information about the vods from the most recent to the last page in the following fashion:pythonexample.py>sets.txtThen, thesets.txtfile becomes populated with vod information...['2020-03-15'] CEO Dreamland 2020 - Colbol (Fox) vs Hungrybox (Jigglypuff) - Grand Finals - Bo5
['2020-03-15'] CEO Dreamland 2020 - Colbol (Fox) vs n0ne (Captain Falcon) - Losers Finals - Bo5
['2020-03-15'] CEO Dreamland 2020 - Colbol (Fox) vs Gahtzu (Captain Falcon) - Losers Semis - Bo5
['2020-03-15'] CEO Dreamland 2020 - Hungrybox (Jigglypuff) vs n0ne (Captain Falcon) - Winners Finals - Bo5
['2020-03-15'] CEO Dreamland 2020 - Panda (FL) (Fox) vs Gahtzu (Captain Falcon) - Losers Quarters - Bo5
['2020-03-15'] CEO Dreamland 2020 - Colbol (Fox) vs Chef Rach (Captain Falcon) - Losers Quarters - Bo5
['2020-03-15'] CEO Dreamland 2020 - n0ne (Captain Falcon) vs Panda (FL) (Fox) - Winners Semis - Bo5
['2020-03-15'] CEO Dreamland 2020 - Colbol (Fox) vs Hungrybox (Jigglypuff) - Winners Semis - Bo5
['2020-03-15'] CEO Dreamland 2020 - Krudo (Sheik) vs Gahtzu (Captain Falcon) - Losers Top 8 - Bo5
['2020-03-15'] CEO Dreamland 2020 - blankshooter744 (Fox) vs Chef Rach (Captain Falcon) - Losers Round 5 - Bo5
['2020-03-15'] CEO Dreamland 2020 - Leighton (Jigglypuff) vs Prof (Marth) - Losers Round 5 - Bo5
['2020-03-15'] CEO Dreamland 2020 - Sinbad (Sheik) vs Krudo (Sheik) - Losers Round 5 - Bo5
['2020-03-15'] CEO Dreamland 2020 - Wevans (Samus) vs Gahtzu (Captain Falcon) - Losers Round 5 - Bo5
['2020-03-15'] CEO Dreamland 2020 - Sinbad (Sheik) vs Dom (FL) (Marth) - Losers Round 4 - Bo5
['2020-03-15'] CEO Dreamland 2020 - Colbol (Fox) vs Gahtzu (Captain Falcon) - Winners Quarters - Bo5
Scraping terminated....while the terminal details the progress:Allvods:0%||0/331[00:07<?,?pages/s]Page0:25%|██████████████|15/60[00:07<00:12,3.07vods/s]Feel free tocheck out the docsfor more information.LicenseThis software is released under the terms ofMIT license.