Saravanan666/pypi-org huggingface dataset:
Package: videoprof
videoprof - A CLI Video Profiler for PythonProfile various attributes of local videos like resolution, codec, container, audio channels, and more!InstallationTo install, you can add the "videoprof" package from pip:pip3install--user--upgradevideoprofRequirementslibmediainfoThis application can not work without libmediainfo. To install libmediainfo on Debian or Ubuntu:apt-getinstalllibmediainfo0v5If you see a message like the following, it must not be installed:Could not analyze videos: make sure libmediainfo is installed!A Compatible Python version:3.63.73.83.9UsageUsage: videoprof [OPTIONS] [SOURCES]...

Options:
  -c, --config TEXT              JSON configuration file
  -s, --sqlite-cache TEXT        SQLite cache file
  -f, --files                    Show individual file badges and exit
  -d, --directories              Show directory badges and exit
  -p, --directory-depth INTEGER  Directory depth for summaries
  -o, --only-flagged             Only show individual files or directories on
                                 flagged entries

  -m, --media-info               Show media info for the first found file and
                                 exit

  --help                         Show this message and exit.ScreenshotsSummary view:Directory view:Flaged directory view:ConfigurationVideoprof is very configurable - any attribute that is returned by mediainfo can be profiled. When videoprof is first run, it will generate a default configuration in~/.config/videoprof/config.json(on POSIX/Linux systems).Thedefault configurationmostly codifies Blu-Ray specs as "success", DVD specs as "warning", and everything else as an error. While simple, it does contain most features useable within the configuration and can be used as a reference.
Package: videopy
We ( actually I and some of my friends ) needed to watch movies and listen to songs wirelessly from a desktop which has all the hard disks attached to it. SMB, AFP, etc were too much of a hassle to set up and not to mention slow, jittery performance. I am looking at you Mac OS ( SMB 1 in 2016 ?). Hence the python script.Shows the playlist directly in vlc. So that you can click and play :). Both random and incremental seek in vlc is supported. Playing directly in the browser is supported too.Requiresnetifacesother than python standard libary. Have fun!PyPi package - [videopy](https://pypi.python.org/pypi/videopy/0.0.1)Installationpip install videopyUsagevideopy [-h] [–directory DIRECTORY] [–port PORT] [–foreground][–stop] [–restart] [–pid PID]optional arguments:-h,--helpshow this help message and exit—directory DIRECTORY, -d DIRECTORY
Directory where the media is located--portPORT,-pPORTPort the Media Server will bind to—foreground, -f      Start the Media Server in the foreground--stopStop the Media Server.—restart             Restart the Media Server--pidPIDLocation to store the pid fileWatchJust runvlc http://[ip-address of the machine running the service]:[1149 or the port the service is running at]/vlcTo play on a html5 enabled browser usehttp://[ip-address of the machine running the service]:[1149 or the port the service is running at]MiscHope it helps you as much as it’s helping us.Issues and Pull Requests are welcome.But most importantly have fun.
Package: video-pyker
_     _                              _
 __   _(_) __| | ___  ___        _ __  _   _| | _____ _ __
 \ \ / / |/ _` |/ _ \/ _ \ _____| '_ \| | | | |/ / _ \ '__|
  \ V /| | (_| |  __/ (_) |_____| |_) | |_| |   <  __/ |
   \_/ |_|\__,_|\___|\___/      | .__/ \__, |_|\_\___|_|
                                |_|    |___/AboutA little terminal game for Jacks-or-BetterVideo Poker. Written in Python.How to runInstall the package with pip:pip install video-pykerRun the game as a scriptvideo-pykeror as a modulepython -m video_pykerNotesRequires python version 3.10.2+LICENSEMIT @ Charlie Morris
Package: videopython
AboutMinimal video generation and processing library.SetupInstall ffmpeg# Install with brew for MacOS:brewinstallffmpeg# Install with apt-get for Ubuntu:sudoapt-getinstallffmpegInstall with pippipinstallvideopythonBasic Usagefromvideopython.base.videoimportVideofromvideopython.base.transitionsimportFadeTransition# Load videovideo=Video.from_path("tests/test_data/fast_benchmark.mp4")print(video.metadata)print(video.frames.shape)# Video is based on numpy representation of frames# Generate videosvideo1=Video.from_prompt("Dogs playing in the snow.")video2=Video.from_prompt("Dogs going back home.")# Add videoscombined_video=video1+video2print(combined_video.metadata)# Apply fade transition between videosfade=FadeTransition(0.5)# 0.5s effect timefaded_video=fade.apply(videos=(video1,video2))print(faded_video.metadata)# Add audio from filefaded_video.add_audio_from_file("tests/test_data/test_audio.mp3")# Save to a filefaded_video.save("my_video.mp4")Running Unit TestsPYTHONPATH=./src/pytest
Package: video-razor
Video Razor123456789A package for slicing a video into N**2 sections.The original use-case was to process higher-definition videos, split up, through Deep Learning models. This allows for easier detection of smaller objects.Installpip install video-razorUsageThe class input file name, output file name, and the cross sections you'd like to split the video in. e.g.3will produce an output of 9 videos - 3 horizontal, 3 vertical.The output file name shouldNOTcontain a suffix as this will be appended during processing.input_file = 'data/input/sample.mp4'
output = 'data/output/out'
razor = VideoRazor(input_file, output, 3)
razor.slice()
Package: videorotation
VideoRotation estimation using mobilenet v2  classificatorSetup:python3 -m pip install .Pre-requirements:ffmpeg is requiredUsage:import argparse
from videorotation import VideoRotationAnalysis

def main(video_path):
    with VideoRotationAnalysis(frames_per_video=12, frames_threshold=8) as analysis: #how many frames to check, and how many frames should be flipped to say that video is flipped
        result, scores = analysis.check_if_upsidedown_for_video(video_path)
        print(result)

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description='Analyze video rotation.')
    parser.add_argument('video_path', type=str, help='Path to the video file.')

    args = parser.parse_args()
    main(args.video_path)
Package: videos-automate-python-souravdlboy
Automate-Images + Videos-downloadIntroduction :Data collection is one of the important steps in Data analysisÂ , Machine learning and Deep learning.
It is the process of gathering information of our interest, in our case it's the images of any type we want to gather.
Without data, we can't model our problem and do analysis of it.Objective :ðŸ‘‰ Automate the collection and building of images using Google API's for search and videos using Youtube API's.ðŸ‘‰ Option to send mails to anyone containing collected datasets as attachment.Motivation :This is a part of project - IV (Task-II) made for UCS633 - Data analytics and visualization at TIET.@Author : Sourav Kumar@Roll no. : 101883068Getting credentials for Google API and Youtube API:ForGoogle image APIForYoutube APIGetting Started Locally :After getting the credentials , we can now run the script for automation.Firstly download all the files on your system using cmd (terminal) or git bash :git clone https://github.com/souravs17031999/AUTOMATE-DATA-PIPELINEWith Tkinter GUI :For IMAGES :Move to the directory where script is downloaded.Now run the script in following way :python data_image_automation.pyand arguments can be passed from interactive GUI.For VIDEOS :Move to the directory where script is downloaded.Now run the script in following way :python data_video_automation.pyand arguments can be passed from interactive GUI.Note : Two important args :Client secrets file path: Give absolute path.Chrome driver path : Give absolute path with .exe extension.Output :Some samples of images :Limitations and Scope for future work:There are few limitations :Currently Google and Youtube allows 100 requests in one API call and so the script is able to download in total 100API's in one go but this behaviour can be changed from the script by calling it multiple times after tweaking some parameters which controls the after and before id's of returned images and videos and can be checked in their API documentation.[For Images] Considering big file sizes for sending as mails, i have resized , gray-scaled and then zipped the files and upload as attachment.This behaviour can be changed from the script by disabling some of the functions passing a optional parameter.[For videos] Considering big file sizes for sending as mails, i have compressed the file sizes and reduced the duration of videos.This behaviour can be easily manipulated in the script itself.Also, mail can be only sent for GMAIL users as of now, this can also be changed by manipulating the Ports of all email servers and controlling their behaviours in the script.
Package: videoscene
A parser for scene release tagsInstall (automatic)$ pip install videosceneInstall (manual)$ git clone git@github.com:walidsa3d/videoscene.git
$ cd videoscene
$ python setup.py installLicenseThe MIT License (MIT)
Copyright (c) 2015 Walid Saad

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE
OR OTHER DEALINGS IN THE SOFTWARE.
Package: videosequence
Quite often I find myself writing scripts which need to load a few frames from a
video file, process them and save the result to disk. It’s a pain to implement
video opening, seeking and decoding over and over again and complex Python
bindings are a little overkill for my needs.Videosequence is a library which hides the complexity of simply opening a video
file in Python as a sequence of images. It exposes a video file as just that: a
Python sequence type containingPILImage-s.For example, suppose you want to dump every frame from a video stored infoo.mp4starting from frame 100:fromcontextlibimportclosingfromvideosequenceimportVideoSequencewithclosing(VideoSequence("foo.mp4"))asframes:foridx,frameinenumerate(frames[100:]):frame.save("frame{:04d}.jpg".format(idx))You can load a single frame from a sequence just as easily. Let’s dump the final
frame to another JPEG:fromcontextlibimportclosingfromvideosequenceimportVideoSequencewithclosing(VideoSequence("foo.mp4"))asframes:frames[-1].save("final-frame.jpg")In general, theVideoSequencebehaves as if it were a long list of each
frame in the video.What VideoSequence doesFrame-accurate seekingSingle frame indexing (vs[0],vs[-4], etc.)Querying the length of the video (len(vs))Slicing a sequence of frames (vs[100:],vs[-20:],vs[10:20],vs[::2], etc.)Frames are represented as RGB PILImageobjects.Can interoperate withnumpy. E.g.np.asarray(vs[0]).What VideoSequence does notHandle files without exactly one (and only one) video streamAudioCaveatsIterating forward one frame at a time is fast. Tricks such as iterating
backwards or skippingnframes at a time work but is likely to be slow.The implementation is based onGStreamerand sode factoonly works on a modern Unix-alike such as Linux or FreeBSD.ThePyGObject introspectionlibraries must be installed. (See below.)InstallingSee the sections below for any OS-specific instructions. VideoSequence can be
installed from the PyPI:$pipinstall--uservideosequenceIt can also be installed directly from git:$pipinstall--usergit+git://github.com/rjw57/videosequenceUbuntu and DebianTo install the Python GObject bindings:$sudoaptinstallgir1.2-gstreamer-1.0gir1.2-gst-plugins-base-1.0\python-gipython3-giGStreamer is almost certainly already installed if you’ve got some modern
desktop environment. If not:$sudoaptinstalllibgstreamer1.0-devgstreamer1.0-plugins-goodContributingBug fixes and ports to new backends welcome. Please make sure that the tests
still pass viatoxbefore opening a new pull request. New functionality
should come with tests, please.Copyright and licensingVideosequence is © 2016 Rich Wareham. Full licence details can be found in
theLICENCE.txtfile.
Package: videoslicer
This package provides aVideoSlicerobject that allows you to access
a video file as if it is a matrix. You can createVideoViewobjects
from aVideoSlicerobject that target specific parts of a video file
using native Python slicing and indexing mechanisms. TheVideoViewobjects can be used to iterate over the frames in arbitrary
dimensions, resulting inVideoFrameorVideoFrameCRSobjects. Both
objects provide a convenient interface to transport, resize, save and
reference frames from the original video file.As slicing, indexing and iterating is supported in arbitrary
dimensions, theVideoSlicerobject can be used to quickly extract
timestacks as well as ordinary frames in physical meaningful
coordinates.Examplesslicer=VideoSlicer('movie.avi')view=slicer[:10,::10,::10]forframeinview:frame.save('frame{:06d}.jpg'.format(frame.index))slicer=VideoSlicer('movie.avi')frame=slicer[10,...]frame.save('frame.jpg')frame.plot()slicer=VideoSlicer('movie.avi',axis=2)# loop over horizontal dimensionforframeinslicer[:,:,::10]:frame.T.save('timestack{:06d}.jpg'.format(frame.index))# transpose to have time on the horizontal axis
Package: videoslides
Video SlidesPackage made to obtain a text transcription from a video, with a flow from video to frames to structured frames to transcription in a json file
Paquete hecho para obtener una transcripcion desde un video, con un flujo que inicia con un video se obtienen sus frames y finalmente se extrae la transcripcion estructuradaInstalacion:Mediante el siguiente comando :pip install videoslidesEjemplos de uso# Crear clase de Video

video1 = Video(string, 100, 1, True)
video1.clean_frames()
video1.set_data()
video1.set_slides() 
video1.set_transcription()


print(video1.data)
print(video1.slides)
print(video1.transcription)
# ploteo(video1.video_name , video1.data) # grafica
Package: video-sorter
System for categorizing video filesThis is a work in process.  We are using it to help our pastime of making
amateur videos of urban wildlife.Our use caseWe have multiple Blink cameras around the property and a
4K trail camera. Fortunately the most interesting videos we
collect contain wild life visiting the property. We enjoy
making amateur videos of interesting species and antics.The problem is that we record hundreds of 30 sec videos per day,
most of which are wind rustling plants or animals moving fast enough
that they are out of the frame before the recording starts.This project is an attempt to facilitate preprocessing and sorting the image files into different
directories.The directories we use to sort incoming files are based on what we expect. For example
when we look at the blink cameras we separate them by animal after we all out people:birdcatcoyotepossumracoonratskunksquirrelotherfurtherReviewtrashThe workflowThevsorterprogram leverages any modern browser to present the movies with the option to displaypreprocessingIf the input movie recordings are in AVI format themkmp4program will convert the video
and adjust the volume.MP4 movies can be bassed through the same program for automatic gain controlProgramsvsorter - command line preprocessorThevsorterprogram leverages any modern browser to present the movies with the option to display
at up to 5x speed or as slow as 0.25x. When theSUBMITbutton is pressed the indiviual movies
are moved to the apropriate directories.vmover - flask app to respond to the web page decisionsThe actual moving is done in the background by a Python web application running on the "localhost".blink-summary - count movies by cameraWhen we have a lot of movies to sort I like to do it by camera. This program looks at the
downloaded movies in a directory tree and count how many are from each camera.
Package: videosplatter
Video splatterSplat a video into a single image by sampling a frame at regular intervals. Useful
for seeing the changes over time of an entire video or movie.Can produce "barcodes":Or mosaics:Original from The Dronalist, used under CC-BYIt also can calculate some stats about the visuals of your video. Colorfulness is a way to quantify how bright and
varied the colors in an image are. Contrast does the same for light and dark.Add them together to get something like "visual 🌶️ factor".Installationpip install videosplatterUsageCommand line:$ videosplatter <filename> [--start <start time in seconds>] [--end <end time in seconds>] [--interval <number of seconds between samples]Example:$ videosplatter city.mp4Programmatic usage:from videosplatter import splat

splat.splat(filename, start_time, end_time, interval)
Package: videosplit
Videosplit is a utility to extract frames from a given video.It can extract:- n number of frames (equally spaced throughout the video)- relevant* frames- frames separated by t secondsExample usage:```from videosplit import VideoSplitvideosplit = VideoSplit()frames = videosplit.get_relevant('input.mp4') # frames = [input01.jpg, input02.jpg, ...]frames = videsplit.get_n_frames('input.mp4', 10) # frames = [input01.jpg,..., input10.jpg]frames = videosplit.get_interval('input.mp4', 10) # one frame every 10 seconds```Note:The filenames of the jpg files are based on the name of the video file. Therefore, if you call more than one call on the same file, the jpg files may be overwritten. To solve this, specify an output name:```frames = videosplit.get_relevant("input.mp4", "tmp") # frames = [tmp01.jpg,...]```*Currently, relevant frames are ex``tracted by finding the I-frames of the video (https://www.webopedia.com/TERM/I/I_frame.html). Frames could be extracted based on "scene-changes" but testing showed that it did not return relevant results (one frame out of a 9 minute video for example).
Package: videosrc
Web crawler to extract video data from HTML, MRSS and more.This library primarily extracts the source attributes / tags from the HTML5<video/>element.Each crawler accepts an opaquestatevalue which allows it to resume a crawl
at a later time. In addition, each crawler accepts an argumentsave_statewhich should be a callback that receives this opaque state value. A caller’s
job is to store that state for future use.MotivationI needed to be able to enumerate videos from multiple different websites and formats.BackendsA given URL is handled by a specific backend which knows how to interpret the HTML.HTMLMeant to read from a static HTML page or index page generated by a webserver when viewing a directory full of video files. Looks for videos in<video/>and<a/>tags.MRSSMedia RSS is a syndication format for media. As such we don’t really need to crawl the given URL but simply parse it and return the listed videos.PeertubeUtilizes the PeerTube REST API to fetch video information.OdyseeUtilizes the Odysee REST API to fetch video information.RumbleUses web scraping to fetch video information. Utilizes Chromium to allow Javascript execution.TimcastUses pyppeteer to login and scrape video urls, then fetches video data from Rumble.TwitterUses snscrape to scrape media from a user’s tweets.
Package: video-stabilizer
Video-StabilizerThis is a minimal package implementing video stabilization specifically tuned for microscopic time-lapses.Get startedInstall using pippip install video_stabilizerExamplesWe can stabilize a sequence of frames given as a sequence of paths.importvideo_stabilizerpaths=[...]frame_generator=video_stabilizer.FrameGenerator(paths)forstabilized_frame,transforminvideo_stabilizer.stabilize_video(frame_generator):do_something(stabilized_frame,transform)Or frames given by acv2.VideoCapture:importcv2importvideo_stabilizercap=cv2.VideoCapture(...)frame_generator=video_stabilizer.generate_frames_from_video(cap)forstabilized_frame,transforminvideo_stabilizer.stabilize_video(frame_generator):do_something(stabilized_frame,transform)LicenseDistributed under the MIT-license. SeeLICENSEfor more information.©	 2020 Sartorius AG
Package: video-streamer
Video StreamerVideo streamer is a client-server application for streaming videos. It uses rtsp with gstreamer and libvlc for video processing and playing. It is written in Python3 using PySide2 Qt5 bindings.ApplicationsVideo StreamerThis application is a video client playing videos from remote server. It works on Windows, Linux and MacOS. It supports listing available videos through directory explorer and playing those videos.System Dependencieslibvlc- for playing videoVideo Streamer ServerThis application is a server for video streaming. It is a linux-only console application capable of handling multiple clients.System Dependenciesdbus- for internal communication (used on most Linux distributions by default)mediainfo- for querying video file informationgstreamer- hosting rtsp video server and doing all video processingVideo Streamer SetterThis is a linux-only console application capable of setting additional video metadata for video files communicating with server via dbus. It can be used only on server machine - no remote acces.System Dependenciesdbus - same purpose as in Video Streamer ServerVideo and audio supportThere are two containers supported - MP4 and MKV. Video codec and audio codec have to be H264 and AAC.InstallationThis application can be installed withpiptool from PyPi using command:pip3 install video-streamerAlternatively you can install it manually with:git clone https://github.com/artudi54/video-streamer
cd video-streamer
python3 setup.py installRunningInstallation adds scripts to binary folders, they are available with names:video_streamer.py,video_streamer_server.pyofvideo_streamer_setter.py.AboutProject was created by Artur Pietrzyk and Tomasz Kolbusz as a part of Python university course.
Package: videostream-test
vidstreamUnder construction! Not ready for use yet! Currently experimenting and planning!Developed by Florian Dedov from NeuralNine (c) 2020Examples of How To Use (Buggy Alpha Version)Creating A ServerfromvidstreamimportStreamingServerserver=StreamingServer('127.0.0.1',9999)server.start_server()# Other Code# When You Are Doneserver.stop_server()Creating A ClientfromvidstreamimportCameraClientfromvidstreamimportVideoClientfromvidstreamimportScreenShareClient# Choose Oneclient1=CameraClient('127.0.0.1',9999)client2=VideoClient('127.0.0.1',9999,'video.mp4')client3=ScreenShareClient('127.0.0.1',9999)client1.start_stream()client2.start_stream()client3.start_stream()Check out:https://www.youtube.com/c/NeuralNine
Package: video-summarizer
Video SummarizerA time saver tool that transform long footage in a short video, keeping the meaningful parts.
Useful to compress video surveillance footage.Note: This project started recently, so it is in initial form. Your suggestions are welcome and feel free to
contribute!InstallationUsepip install video_summarizer.Features / UsageTested video formats:.mp4.mpgVideo SummarizationMotion summarizationUsage:importvideo_summarizerasvidsuminput_video_path="input_videos/original.mp4"output_video_path="output_videos/processed.mp4"vidsum.summarize(input_video_path,output_video_path,mode="motion")Movement Detector... Work in progress ...Heatmap... Work in progress ...