Saravanan666/pypi-org huggingface dataset:
Package: video-cli
video-cliCommand line tools for quick video editing.Video-cli is made aiming at editing video with a one-line
command on a terminal. More detailed video editing can be done with
other Python tools (e.g.,MoviePy)
and GUI video editors (e.g.,iMovie),
which is not the goal of this tool.Installationpipinstallvideo-cliCommandsvideo-retime:Video Retiming (Speed Up/Down)video-retimedata/2018-11-02_14-44-14.mp4--retime2video-retimedata/2018-11-02_14-44-14.mp4--retime2--inplacevideo-togif:Create a GIFvideo-togifdata/2018-11-02_14-44-14.mp4--fps2--duration5video-togifdata/2018-11-02_14-44-14.mp4--fps2--duration5--resize0.5video-trim:Video Trimingvideo-trimdata/2018-11-02_14-44-14.mp4--start3--duration5video-tile:Video Tilingvideo-tiledata/2018-11-02_14-44-14.mp4data/2018-11-02_14-44-14.mp4--shape1x2-otile.mp4video-toimg:Convert a Video to Imagesvideo-toimgdata/2018-11-02_14-44-14.mp4--per10--start3--duration10video-tovideo:Convert to Videovideo-tovideodata/2018-11-02_14-44-14.mp4video-resize:Video Resizingvideo-resizedata/2018-11-02_14-44-14.mp4--scale0.5video-fromimg:Create a Video from Imagesvideo-toimgdata/2018-11-02_14-44-14.mp4
video-fromimg--input-files"data/2018-11-02_14-44-14/*.jpg"--fps30out.mp4video-crop:Crop a region of a Videovideo-cropdata/2018-11-02_14-44-14.mp4
Package: videocloud
VideoCloudGenerate word clouds from YouTube video captionsInstallationpip install videocloudNote: A C compiler is required for the installation process.Usagevideocloud <link to YouTube video> [options]videocloud www.youtu.be/MHTizZ_XcUM --language=es --color=#eeeOptions--filepathWhere on disk to save the generated videocloudDefault:videocloud.png--language2-letter language code of the captionsDefault:en--colorHex color code of the videocloud's background colorDefault:#d1d1d1--fontLink to a TTF font fileDefault:Noto Sans--maskLink to a PNG mask fileDefault:CloudDevelopmentThis project is maintained byparamtonGitHub.
Package: videoclusters
videoclustersPython library to perform clustering computations on GPU.InstallationUse the package managerpipto install videoclusters.pipinstallvideoclustersUsage examplefromvideoclusters.centroid_based.KMeansimportKMeans# initialization of the clusterkmeans_cluster=KMeans(num_clusters=2)# initialization of uneven distributed datadata=torch.randint(low=1,high=10,size=(100,2),dtype=torch.float32).to('cuda')data[50:]=torch.randint(low=20,high=30,size=(50,2),dtype=torch.float32).to('cuda')# starting computationresult=kmeans_cluster.fit_predict(data)ContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.LicenseMIT
Package: videoconcat
Concatenates videos# needs ffmpeg$pipinstallvideoconcatfromvideoconcatimportconcatenate_videovi=[r"C:\Users\Gamer\Videos\tesseract.mp4",r"C:\Users\Gamer\Videos\dfbs4.mp4",r"C:\Users\Gamer\Videos\yolov5.mp4",]concatenate_video(video_clip_paths=vi,output_path=r"f:\newvi\newvidxx1.mp4",# if folder doesn't exist, it will be creatednewsize_w=720,newsize_h=1080,method="reduce",# resizes all videos)concatenate_video(video_clip_paths=vi,output_path=r"f:\newvi\newvidxx2.mp4",# if folder doesn't exist, it will be creatednewsize_w=720,newsize_h=1080,method="compose",# does not resize videos (black background))
Package: videocondenser
VideoCondenserVideoCondenser is a tool that allows you to adjust the playback speed of a video based on the volume of its audio.
The intended usage is to speed up long lecture-type videos while retaining clarity and content.FeaturesDynamically adjust video playback speed based on audio volume levels.Simple command-line interface for easy usage.Installationpippip install videocondenserArch Linux Package Managerpacman -Syy videocondenser-gitTo install AudioSpeeder manually:Clone this repository to your local machine.Install the required dependencies (Python and assorted packages, Ffmpeg).Run the script using the provided command-line arguments.UsageStandard Lecture Shorteningpythonvideocondenser.pyinput_video.mp4Double talking speedpythonvideocondenser.pyinput_video.mp4--loud_speed2Completely cutting during silencepythonvideocondenser.pyinput_video.mp4--quiet_speed10000Slow down content while speeding up breaks (I personally found this setting makes thie output video about the same length as the input)pythonvideocondenser.pyinput_video.mp4--quiet_speed4--loud_speed0.75and many more!Showcase VideosBefore:https://github.com/frank-monkey/videocondenser/assets/86938002/1cd11268-52c1-4689-ae9f-d117a797cdfdAfter:https://github.com/frank-monkey/videocondenser/assets/86938002/314ff9a4-80e9-4e06-b895-2b3364814d1a(Original videohereCourtesy of MIT OCW)LicenseThis project is licensed under theGNU General Public License (GPL-3.0).
Package: videocr
videocrExtract hardcoded (burned-in) subtitles from videos using theTesseractOCR engine with Python.Input a video with hardcoded subtitles:# example.pyfromvideocrimportget_subtitlesif__name__=='__main__':# This check is mandatory for Windows.print(get_subtitles('video.mp4',lang='chi_sim+eng',sim_threshold=70,conf_threshold=65))$ python3 example.pyOutput:0
00:00:01,042 --> 00:00:02,877
喝 点 什么 ? 
What can I get you?

1
00:00:03,044 --> 00:00:05,463
我 不 知道
Um, I'm not sure.

2
00:00:08,091 --> 00:00:10,635
休闲 时 光 …
For relaxing times, make it...

3
00:00:10,677 --> 00:00:12,595
三 得 利 时 光
Bartender, Bob Suntory time.

4
00:00:14,472 --> 00:00:17,142
我 要 一 杯 伏特 加
Un, I'll have a vodka tonic.

5
00:00:18,059 --> 00:00:19,019
谢谢
Laughs Thanks.PerformanceThe OCR process is CPU intensive. It takes 3 minutes on my dual-core laptop to extract a 20 seconds video. More CPU cores will make it faster.InstallationInstallTesseractand make sure it is in your$PATH$ pip install videocrAPIReturn subtitle string in SRT formatget_subtitles(video_path:str,lang='eng',time_start='0:00',time_end='',conf_threshold=65,sim_threshold=90,use_fullframe=False)Write subtitles tofile_pathsave_subtitles_to_file(video_path:str,file_path='subtitle.srt',lang='eng',time_start='0:00',time_end='',conf_threshold=65,sim_threshold=90,use_fullframe=False)ParameterslangThe language of the subtitles. You can extract subtitles in almost any language. All language codes onthis page(e.g.'eng'for English) and all script names inthis repository(e.g.'HanS'for simplified Chinese) are supported.Note that you can use more than one language, e.g.lang='hin+eng'for Hindi and English together.Language files will be automatically downloaded to your~/tessdata. You can read more about Tesseract language data files on theirwiki page.conf_thresholdConfidence threshold for word predictions. Words with lower confidence than this value will be discarded. The default value65is fine for most cases.Make it closer to 0 if you get too few words in each line, or make it closer to 100 if there are too many excess words in each line.sim_thresholdSimilarity threshold for subtitle lines. Subtitle lines with largerLevenshteinratios than this threshold will be merged together. The default value90is fine for most cases.Make it closer to 0 if you get too many duplicated subtitle lines, or make it closer to 100 if you get too few subtitle lines.time_startandtime_endExtract subtitles from only a clip of the video. The subtitle timestamps are still calculated according to the full video length.use_fullframeBy default, only the bottom half of each frame is used for OCR. You can explicitly use the full frame if your subtitles are not within the bottom half of each frame.
Package: video-curation
Video curationA package for curating video file collections, with ability to sync with
youtube and archive.org video items.For usersAutogenerated Docs on readthedocs (might be
broken).Manually and periodically generated docshereFor detailed examples and help, please see individual module files in
this package.Installation or upgrade:sudo pip install video_curation-Usudo pip installgit+https://github.com/sanskrit-coders/video_curation/@master-UWeb.For contributorsContactHave a problem or question? Please head togithub.Packaging~/.pypirc should have your pypi login credentials.python setup.py bdist_wheel
twine upload dist/* --skip-existingBuild documentationsphinx html docs can be generated withcd docs; make htmlTestingRunpytestin the root directory.Auxiliary toolspyup
Package: video-diet
Video dietThis project aims to reduce the spaces of your videos and audios encoding it onhevc.Why video-diet?The answer is easy. I have a lot old-movies/videos and music/audios taking a lot of space in the hard-drive.
So I'm always short on disk space, the by accident discover dehevccodec. when i need to shrink a video of3GBto upload it toTelegram, the convertion take my 3GB movie and returned a 300 MB with the same quality 😱. So I
decided that I would convert all my video and audio files , but they are a lot, so I build this tool for it.More info abouthevc:https://en.wikipedia.org/wiki/High_Efficiency_Video_CodingInstallation$pipinstallvideo-dietFFMPEGIn order to run the project you must installffmpeg.For LinuxIn any linux machine you can get it from your favorite package manager.For arch:sudo pacman -S ffmpegFor Debian/Ubuntu:sudo apt-get install ffmpegFor WindowsDownload a windows ffmpeg build herehttps://ffmpeg.org/download.html. Unzip it and change the folder name toFFmpeg. Copy the folder intoC:\and then add the pathC:\FFmpeg\binto the enviroment variables of the system.To check correct instalation open a new instance of cmd and type:ffmpeg --version`.ExampleFor a filevideo-dietfiletest.mp4This option conserve the original fileFor a foldervideo-dietfolder~/VideosThis option replaces the original file for the converted filesIgnoring files on the foldervideo-dietfolder~/Videos--ignore-extension.mp4This option ignores all the .mp4 files on ~/Videosvideo-dietfolder~/Videos--ignore-path~/Videos/subfolderThis option ignores all the files on ~/Videos/subfolderNoteThe video conversion can take some time. Depending on the original video properties; the conversion time can be longer than the video.For developersYou must first installpoetryPoetry provides a custom installer that will installpoetryisolated from the rest of your system by vendorizing its dependencies. This is the recommended way of installingpoetry.osx / linux / bashonwindows install instructionscurl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | pythonwindows powershell install instructions(Invoke-WebRequest -Uri https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py -UseBasicParsing).Content | pythonThe installer installs thepoetrytool to Poetry'sbindirectory. On Unix it is located at$HOME/.poetry/binand on Windows at%USERPROFILE%\.poetry\bin.This directory will be in your$PATHenvironment variable, which means you can run them from the shell without further configuration.Then you need to configure the environmentInside the project makepoetry installand afterpoetry shellfor start the virtualenv.For testing the code runvideo-diet.SeeCONTRIBUTING.mdfor more details.Good luck 😉.Project Structure based on awesome tutorial by @tiangolo athttps://typer.tiangolo.com/tutorial/package
Package: video-ditor
Video-DitorA simple video editor python package
Affiliated toBank of Ghana Fx Rates,GhanaNews-Scraper, andGhanaShops-ScraperHow to installpipinstallvideo-ditorInstall using:# ORgitclonehttps://github.com/donwany/Video-Ditor.gitcdVideo-Ditor
makepre-releaseDownload YouTube/Facebook/Twitter Videos# Using CLIytube-uhttps://www.youtube.com/watch?v=fqi8cvN1hrI

ytube--urlhttps://twitter.com/kwadwosheldon/status/1673856306136981504

ytube--urlhttps://www.facebook.com/gtvghana/videos/1219922122741862Join Videospythonmain.py\-cone.mp4two.mp4three.mp4\-ooutput.mp4# Using CLIconcat\-cone.mp4two.mp4three.mp4\-ooutput.mp4Cut Videospythonmain.py\-iinput.mp4\-ooutput.mp4\-s"00:00:00"\-e"00:00:00"# Using CLIslice\-iinput.mp4\-ooutput.mp4\-s"00:00:00"\-e"00:00:00"Watermark Videospythonmain.py-iinput.mp4-wjames.png-x500-owater_output.mp4# Using CLIwatermark-iinput.mp4-wjames.png-x500-p"left,bottom"-owater_output.mp4Add Background and Overlay Videopythonmain.py-bbackground_video.mp4-ooverlay_video.mp4-xfinal1.mp4-p150-v0.10-bv1.0# Using CLIbackground-bbackground_video.mp4-ooverlay_video.mp4-xfinal1.mp4-p150-v0.10-bv1.0Add Text to Videotext position: "left,top" , "left,bottom", "right,bottom"add_text-iinput.mp4-ooutput.mp4-s"@the_data_prof"-f50-t"blue"-p"center,top"BuyMeCoffeeCreditsTheophilus Siameh
Package: video-dl
video-dlvideo-dlis a naive online video downloader based onaiohttp.Prerequisitesffmpegused to merge picture and sound to a complete video.python3.8 or above (required by:=operator).Node.jsused to run javascript code locally.You could checkhelp manualinwikito install these system dependencies.Installationpip3installvideo-dlUpgradingpip3install--upgradevideo-dlTypical usageDownload the highest-definition video:warning: If there are special symbols in your url, please enclose it with quotation marks.video-dl'https://www.bilibili.com/video/BV15L411p7M8':warning: thehighestdepends my own view, maybe not the one you want.Download video which definition will be selected manuallyvideo-dl-i'https://www.bilibili.com/video/BV15L411p7M8'Download video to your specific directoryvideo-dl-d~/tmp'https://www.bilibili.com/video/BV15L411p7M8'Download video via your proxy:underage: we have to access some non-existing sites via proxy.video-dl-phttp://172.30.176.1:10809'https://cn.pornhub.com/view_video.php?viewkey=ph5c87e70498951'Try to download videos in the same playlist (experimental)video-dl-l'https://www.bilibili.com/video/BV1qy4y1V7qU'Combine these arguments.video-dl-d/mnt/d/Download-l-i'https://www.bilibili.com/video/BV1qy4y1V7qU'Help documentProgram's help manual auto generated byargparseyou could usevideo-dl -hto see the below help manual.usage: video_dl [-h] [-i] [-l] [-d DIRECTORY] [-c COOKIE] [-p PROXY] [-v] url

A naive online video downloader based on aiohttp

positional arguments:
  url                   target url copied from online video website.

optional arguments:
  -h, --help            show this help message and exit
  -i, --interactive     Manually select download resources.
  -l, --lists           try to find a playlist and download all videos in it.
  -d DIRECTORY, --directory DIRECTORY
                        set target diretory to save video file(s).
  -c COOKIE, --cookie COOKIE
                        provide your cookie.
  -p PROXY, --proxy PROXY
                        set proxy. e.g.: http://127.0.0.1:10809
  -v, --version         show program's version number and exit

You could find more important information in [github](https://github.com/fengdongfa1995/video_dl).Longer help manual written by myselfYou could find how to install system prerequisites, FAQ and something else ingithub's wiki.Supported websites哔哩哔哩 (゜-゜)つロ 干杯~Free Porn Videos & Sex Movies西瓜视频 - 高清免费在线视频 - 点亮对生活的好奇心How was this shit created?在B站学习用Python做一个B站爬虫Getting InvolvedYou could discuss with me ingithub's Discussions,
find bugs or submit your excelent ideas ingithub's Issues,
my last but the biggest wish is getting yourpull requeststo improve this naive tool.
Package: videodrome
VideodromeVideodrome generates static media centers in Python with HTML5 user interface.See thedemoInstallationRequires Python 2.7 installed with pip.$ pip install videodromeRunning Videodrome$ videodrome generate <path to your video folder>Input DevicesWorks with the keyboard, mouse orTV RemoteMIT LicenseAuthorThe project was authored by p5yb14d3
Package: video-duplicate-remover
Video-Duplicate-Remover CliThis majorly a video duplicate remover application that helps to personally remove duplicate video files on unix-based or linux machine . But can provide some regular expression pattern to further enhance it capabilites.ContributorsCaleb AdewoleUsageTo use this application , first create a virtual enviroment and then runpip install ..➜video-cleanergit:(main)✗.venv/bin/activate(venv)➜video-cleanergit:(main)✗video-cleaner-cliUsage:video-cleaner-cli[OPTIONS]COMMAND[ARGS]...

Options:--helpShowthismessageandexit.

Commands:cleanRemoveallvideofilesfromafolder:params`folder_path`-...createCreatesafolderpathusingthespecifieddestinationpathand...deleteDeletetheprovidefolderpathfilterFilterfilesbasedonprovidedregexexpressionandprintitlistListoutallfilepaththatisinthefolder:params...To view sub-commands use the  example below(venv)➜video-cleanergit:(main)✗video-cleaner-cliclean--help
Usage:video-cleaner-cliclean[OPTIONS]Removeallvideofilesfromafolder:params`folder_path`-pathtoclean:params`out`-outputfolderpath:params`regex`-regularexpressionpattern:params`delete_output`-flagtodeletetheoutputfolder

Options:-f,--folder-pathTEXTthevideofolderpathtocleanup[required]-o,--outTEXTtheoutputfolderpathtostoreduplicates[required]-r,--regexTEXTfilterpatternformovies-d,--delete-outputdeletethecopies--helpShowthismessageandexit.
Package: video-editor
Video EditorVideo editing tool using ffmpeg.
The tool has the ability to cut as many unnecessary video frames as specified in a YAML file.DependenciesffmpegInstallUsepip install video-editorto install.How ToEnsure theffmpegpackage is installed. Usebrew install ffmpegto install on MacOSX.Create a YAML file with frames to either select or delete.
Here is a sample YAML:myrecording.yaml---
input: "input-video.mp4"
output: "output-video.mp4"
cut_method: select  # use 'delete' to remove unwanted frames
timeframe:
  - from: start   # first frame
    to: 4m
  - from: 10m11s  # selected frames
    to: 15m50s
  - from: 30m5s   # selected frames
    to: end       # last frameExecute the following command:video-cut -p myrecording.yamlwhere,-pis the YAML with editing instruction.You should now get theoutput-video.mp4video file after the process is over.Future EnhancementsMove fromffmpegtool toffmpeg-pythonlibraryAdd feature to screen grab based on screen coordinates
Package: videoembed
videoembedVideoembed is a tool to create embed codes from video URLs by usingoembed. You are also able to get thumbnail data.Supported platforms:YouTubeVimeoInstallationUse the package managerpipto install videoembed.pipinstallvideoembedUsageBasic usage:fromvideoembedimportEmbedderembedder=Embedder()video=embedder('https://www.youtube.com/watch?v=VIDEOID')# get embed codeembed_code=video.embed_code# get thumbnail datathumbnail=video.thumbnailYou can also pass some configuration data to the embedder:fromvideoembedimportEmbedderconfig={'width':600,'height':360,'autoplay':True}embedder=Embedder(**config)ContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.
Package: videofetch
Documents:https://videofetch.readthedocs.io/VideodlA lightweight video downloader written by pure python.
You can star this repository to keep track of the project if it's helpful for you, thank you for your support.StatementThis repository is created just for learning python(Commercial prohibition).
All the apis used in this repository are from public network. So, if you want to download the paid videos, 
please open a paid member on corresponding video platform by yourself (respect the video copyright please).
Finally, if there are any infringements, please contact me to delete this repository.Support ListSource_ENSource_CNIntroductionCore Codecntv央视网clickclickmgtv芒果TVclickclickmigu咪咕视频clickclickacfunAcFun视频clickclickdouyin抖音clickclickhaokan好看视频clickclickbilibiliB站视频clickclickzhihu知乎视频clickclickxigua西瓜视频clickclickiqiyi爱奇艺视频clickclicktedTED视频clickclickpipigaoxiao皮皮搞笑clickclickpipix皮皮虾clickclickyinyuetai音悦网clickclickweibo微博clickclickbaidutieba百度贴吧clickclickkuaishou快手视频clickclickku6酷6网clickclicksohu搜狐TVclickclickInstallPreparationffmpeg: You should set ffmpeg in environment variable.Nodejs: Since some of the supported websites (e.g., xigua) need to compile the js code, you should install the nodejs in your computer.Pip installrun"pip install videofetch"Source code install(1)Offline
Step1:gitclonehttps://github.com/CharlesPikachu/videodl.git
Step2:cdvideodl->run"python setup.py install"(2)Online
run"pip install git+https://github.com/CharlesPikachu/videodl.git@master"Quick StartRun by leveraging the APIfromvideodlimportvideodlconfig={"logfilepath":"videodl.log","proxies":{},"savedir":"downloaded"}dl_client=videodl.videodl(config=config)dl_client.run()Run by leveraging compiled fileUsage:videodl[OPTIONS]Options:-i,--urlTEXT想要下载的视频链接,若不指定,则进入videodl终端版-l,--logfilepathTEXT日志文件保存的路径-p,--proxiesTEXT设置的代理-s,--savedirTEXT视频保存的文件夹--helpShowthismessageandexit.ScreenshotProjects in Charles_pikachuGames: Create interesting games by pure python.DecryptLogin: APIs for loginning some websites by using requests.Musicdl: A lightweight music downloader written by pure python.Videodl: A lightweight video downloader written by pure python.Pytools: Some useful tools written by pure python.PikachuWeChat: Play WeChat with itchat-uos.Pydrawing: Beautify your image or video.ImageCompressor: Image compressors written by pure python.FreeProxy: Collecting free proxies from internet.Paperdl: Search and download paper from specific websites.Sciogovterminal: Browse "The State Council Information Office of the People's Republic of China" in the terminal.CodeFree: Make no code a reality.DeepLearningToys: Some deep learning toys implemented in pytorch.DataAnalysis: Some data analysis projects in charles_pikachu.Imagedl: Search and download images from specific websites.Pytoydl: A toy deep learning framework built upon numpy.NovelDL: Search and download novels from some specific websites.MoreWeChat Official AccountsCharles_pikachu
Package: videofingerprint
Relative Luminance gradient and Dominant Color of Frames (RLGDCF) based Digital Video FingerprintingIntroductionRelative Luminance gradient and Dominant Color of Frames (RLGDCF) based Digital Video Fingerprinting is a novel but straightforward video fingerprinting technique that generates the fingerprint for any video by extracting one frame per second and reducing these frames to a single latin alphabet.First, find the dominant color of the frame using theimagedominantcolorpython package, it outputs one character out of r, g, b, l, and n whenever an image is passed to it.Output dominant color and their meanings:r - Red is the dominant color in the image.g - Green is the dominant color for the image.b - Blue is the dominant color.l - It is lowercase L and it implies that the image is mostly grayscale. L for luminance and most of the image lacks color.n - None of the colors out of r, g, and b are dominant but the image is also not grayscale. It implies that the image has equal regions where 2 or 3 colors dominate,for example here.Then calculate the luminance value of the frame and compare it with the luminance value of the frame preceding the current frame. As the first frame can not have a preceding frame we set its value to 0. For all the remaining frames, set their value to 0 if the current frame is brighter or at least equally bright when compared to the preeceding frame. If the preceding frame is brighter compared to the current frame then set the value of the current frame to 1.If the number is 0, make the dominant color alphabet lowercase
and if the number is 1 then make the dominant color alphabet uppercase.Examples:If the dominant color is r and the number is 1, then the character that should represent the frame should be R.If the dominant color value is n and the number is 0, then the character that should represent the frame should be n.And remember that you don't have to stick to these original rules, you can flip them but just stay consistent and it's guaranteed that your implementation will work. Also, any other dominant color of the image detection library will do great as long as the output is deterministic.Installationpipinstallvideofingerprint-UUsage>>>importvideofingerprint>>>>>>url1="https://www.youtube.com/watch?v=PapBjpzRhnA">>>url2="https://raw.githubusercontent.com/akamhy/videohash/main/assets/rocket.mkv">>>>>>vp1=videofingerprint.VideoFingerprint(url=url1)>>>vp2=videofingerprint.VideoFingerprint(url=url2)>>>vp1.fingerprint'rrbBbbBLlrrRrRrnNBbbbnnrBBbbBLlrrrRRnnnnLLLLLllllllllL'>>>vp2.fingerprint'rrbBbbBLlrrRrRrrNBbbbnnrBBbbBLlrrrRRnnNnBLLLLllllllllL'>>>🛡 LicenseCopyright (c) 2022 Akash Mahanty. Seelicensefor details.