vidgear | performance cross-platform Video Processing Python | Video Utils library

by abhiTronix Python Version: vidgear-0.3.0 License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | vidgear Summary

vidgear is a Python library typically used in Telecommunications, Media, Media, Entertainment, Video, Video Utils, OpenCV applications. vidgear has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install vidgear' or download it from GitHub, GitLab, PyPI.

. [Build Status][github-cli]][github-flow] [Codecov branch][codecov]][code] [Azure DevOps builds (branch)][azure-badge]][azure-pipeline]. [Glitter chat][gitter-bagde]][gitter] [Build Status][appveyor]][app] [PyPi version][pypi-badge]][pypi]. VidGear is a High-Performance Video Processing Python Library that provides an easy-to-use, highly extensible, thoroughly optimised Multi-Threaded + Asyncio API Framework on top of many state-of-the-art specialized libraries like [OpenCV][opencv], [FFmpeg][ffmpeg], [ZeroMQ][zmq], [picamera][picamera], [starlette][starlette], [yt_dlp][yt_dlp], [pyscreenshot][pyscreenshot], [aiortc][aiortc] and [python-mss][mss] serving at its backend, and enable us to flexibly exploit their internal parameters and methods, while silently delivering robust error-handling and real-time performance . VidGear primarily focuses on simplicity, and thereby lets programmers and software developers to easily integrate and perform Complex Video Processing Tasks, in just a few lines of code.

Support

Quality

Security

License

Reuse

Support

vidgear has a medium active ecosystem.

It has 2813 star(s) with 221 fork(s). There are 62 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 250 have been closed. On average issues are closed in 24 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of vidgear is vidgear-0.3.0

Quality

vidgear has 0 bugs and 0 code smells.

Security

vidgear has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

vidgear code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

vidgear is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

vidgear releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

vidgear saves you 3226 person hours of effort in developing the same functionality from scratch.

It has 9976 lines of code, 293 functions and 51 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed vidgear and discovered the below as its top functions. This is intended to give you an instant insight into vidgear implemented functionality, and help decide if they suit your requirements.

Import a dependency module
Get the version of a module
Check if a directory is writable
Delete a file
Import a core dependency
Create log handler
Test whether OpenCV supports OpenCV
Get the latest version of a given package
Stops streaming

Get all kandi verified functions for this library.

vidgear Key Features

No Key Features are available at this moment for vidgear.

vidgear Examples and Code Snippets

How To Install,Step2: Start application with docker-compose

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

docker-compose up

How to use FFMPEG on Python/Windows10 with Pipe for Screen recording?

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

ffmpeg.exe -f gdigrab -framerate 30 -offset_x 10 -offset_y 20 -video_size 100x100 -i desktop -pix_fmt bgr24 -vcodec rawvideo -an -sn -f image2pipe -

When I am trying to get live stream from youtube using opencv and camgear I am getting the following error

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

pip install -U vidgear

Community Discussions

Trending Discussions on vidgear

How to make ffmpeg re-encode an vp9 webm with alpha into a vp9 webm with alpha

How do I serialize video frames for streaming over UDP?

How to use FFMPEG on Python/Windows10 with Pipe for Screen recording?

PyQt5 add second function to thread but not work

QUESTION

How to make ffmpeg re-encode an vp9 webm with alpha into a vp9 webm with alpha

Asked 2021-Jul-28 at 04:16

I am trying to find optimal parameters for encoding a transparent video using ffmpeg in my scenario, and as a test, I have been re-encoding a pre-made transparent .webm (vp9 with alpha channel, made using python vidgear) like this:

...

ANSWER

Answered 2021-Jul-28 at 04:16

See the line

Source https://stackoverflow.com/questions/68553648

QUESTION

How do I serialize video frames for streaming over UDP?

Asked 2021-May-05 at 07:46

I am trying out video streaming over UDP. I capture my screen using vidgear and use pickle for serialization. I am trying to build a remote desktop solution therefore requiring low-latency, but I found that pickle is slow for the purpose. Are there any other serialization frameworks that can serialize video frames? I was able to find flatbuffers and protobuf but I am not sure how to use these for video.

So it would be greatly appreciated if someone could point me in the right direction, i.e suggest a fast serialization framework.

Thanks in advance! :)

...

ANSWER

Answered 2021-May-05 at 07:46

I see you already resolved it but meanwhile I made some example.

You can use tobytes() to convert numpy.arraay to bytes which you can send by socket.

Source https://stackoverflow.com/questions/67381113

QUESTION

How to use FFMPEG on Python/Windows10 with Pipe for Screen recording?

Asked 2020-Sep-20 at 09:47

I'd like to record the screen with ffmpeg as it seems to be the only player out there who can record a region of the screen along with the mouse cursor.

The following code was adapted from i want to display mouse pointer in my recording but it doesn't work on a Windows 10 (x64) setup (using Python 3.6).

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ANSWER

Answered 2020-Sep-02 at 21:36

You're missing the - (or pipe: or pipe:1) for the pipe, as in:

Source https://stackoverflow.com/questions/63698624

QUESTION

PyQt5 add second function to thread but not work

Asked 2020-Feb-26 at 14:29

Previously I have tried to use Flask for doing the followings simultaneously:

Display live video streaming
Display real-time data streaming
Control the robot car

As the above is just for demonstration, with the video streaming performance not good enough, I decided to change the whole application to PyQt5 for further development and production. Now I can create the GUI for displaying live video streaming well, while the real-time data streaming cannot be done well. The error is

QObject::startTimer: Timers can only be used with threads started with QThread

The following is the whole program. Please help to see what's wrong in the adding thread issue. Thanks!

...

ANSWER

Answered 2020-Feb-26 at 06:15

The QTimer error basically means that the a QTimer can only be started from the thread it exists.

Besides that, GUI element should always be directly accessed or modified from the main thread, not from another one.
In order to accomplish that, you'll need to create a separate "worker" thread, and communicate with the main one by taking advantage of the signal/slot mechanism.

Source https://stackoverflow.com/questions/60396153

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install vidgear

If this is your first time using VidGear, head straight to the [Installation ➶][installation] to install VidGear. Once you have VidGear installed, Checkout its Well-Documented [Function-Specific Gears ➶][gears]. Also, if you’re already familiar with [OpenCV][opencv] library, then see [Switching from OpenCV Library ➶][switch_from_cv]. Or, if you’re just getting started with OpenCV-Python programming, then refer this [FAQ ➶](https://abhitronix.github.io/vidgear/latest/help/general_faqs/#im-new-to-python-programming-or-its-usage-in-opencv-library-how-to-use-vidgear-in-my-projects).