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Install using pip

Best option for easily getting stable VidGear installed.

Prerequisites

When installing VidGear with pip, you need to manually install following prerequisites:

Upgrade your pip

It strongly advised to upgrade to latest pip before installing vidgear to avoid any undesired installation error(s).

There are two mechanisms to upgrade pip:

You can use existing pip to upgrade itself:

Install pip if not present 
python get-pip.py

py get-pip.py

More details about this script can be found in pypa/get-pip’s README.

python -m pip install pip --upgrade

py -m pip install pip --upgrade

Python also comes with an ensurepip module1, which can easily upgrade/install pip in any Python environment.

python -m ensurepip --upgrade

py -m ensurepip --upgrade

 

Critical Prerequisites âš 

  • OpenCV

    Must require OpenCV(3.0+) python binaries installed for all core functions. You easily install it directly via pip:

    OpenCV installation from source

    You can also follow online tutorials for building & installing OpenCV on Windows, Linux, MacOS and Raspberry Pi machines manually from its source.

    âš  Make sure not to install both pip and source version together. Otherwise installation will fail to work!

    Other OpenCV binaries

    OpenCV maintainers also provide additional binaries via pip that contains both main modules and contrib/extra modules opencv-contrib-python, and for server (headless) environments like opencv-python-headless and opencv-contrib-python-headless. You can also install any one of them in similar manner. More information can be found here.

    pip install opencv-python

 

API Specific Prerequisites

 

  • Picamera2

    Required only if you're using Raspberry Pi Camera Modules (or USB webcams) with the PiGear API. Here's how to install Picamera2 python library:

    Using Legacy picamera library with PiGear (v0.3.3 and above)

    PiGear API (version 0.3.3 onwards) prioritizes the newer Picamera2 library under the hood for Raspberry Pi camera modules. However, if your operating system doesn't support Picamera2, you can still use the legacy picamera library. Here's how to easily install it using pip:

    pip install picamera

    You could also enforce the legacy picamera API backend in PiGear by using the enforce_legacy_picamera user-defined optional parameter boolean attribute.

    Picamera2 is only supported on Raspberry Pi OS Bullseye (or later) images, both 32 and 64-bit.

    Picamera2 is NOT supported on:

    • Images based on Buster or earlier releases.
    • Raspberry Pi OS Legacy images.
    • Bullseye (or later) images where the legacy camera stack has been re-enabled.
    As of September 2022, Picamera2 is pre-installed on images downloaded from Raspberry Pi. So you don't have to install it manually.
    • On Raspberry Pi OS images, Picamera2 is now installed with all the GUI (Qt and OpenGL) dependencies.

    • On Raspberry Pi OS Lite, it is installed without the GUI dependencies, although preview images can still be displayed using DRM/KMS. If these users wish to use the additional X-Windows GUI features, they will need to run:

      sudo apt install -y python3-pyqt5 python3-opengl

    If Picamera2 is not already installed, then your image is presumably older and you should start with system upgrade: 

    sudo apt update && upgrade

    If you have installed Picamera2 previously using pip, then you should also uninstall this (pip3 uninstall picamera2).

    Thereafter, you can install Picamera2 with all the GUI (Qt and OpenGL) dependencies using:

    sudo apt install -y python3-picamera2

    Or, If you DON'T want the GUI dependencies, use:

    sudo apt install -y python3-picamera2 --no-install-recommends

    This is NOT the recommended way to install Picamera2.

    However, if you wish to install Picamera2 with all the GUI (Qt and OpenGL) dependencies with pip, use:

    sudo apt install -y python3-libcamera python3-kms++
sudo apt install -y python3-pyqt5 python3-prctl 
sudo apt install -y libatlas-base-dev ffmpeg python3-pip
pip3 install numpy --upgrade
pip3 install picamera2[gui]

    Or, If you DON'T want the GUI dependencies, use:

    sudo apt install -y python3-libcamera python3-kms++
sudo apt install -y python3-prctl libatlas-base-dev
sudo apt install -y ffmpeg libopenjp2-7 python3-pip
pip3 install numpy --upgrade
pip3 install picamera2

 

 

  • DXcam

    Required only if you're using the ScreenGear API on Windows machines for better FPS performance. You can easily install it via pip:

    FYI, DXcam is ONLY supported on Windows Machines.

    pip install dxcam

 

Installation

Installation command with pip has been changed in v0.2.4

The legacy pip install vidgear command now installs critical bare-minimum dependencies only. Therefore in order to automatically install all the API specific dependencies as previous versions, use pip install vidgear[core] command instead.

# Install latest stable release with all Core dependencies
pip install -U vidgear[core]

[core] keyword isn't available in versions older than v0.2.4

# Install older stable release with all Core dependencies
pip install vidgear<0.2.4

Similarly in your python project files like setup.py or requirements.txt or setup.cfg, use vidgear dependency as vidgear[core]>=0.2.4 instead.

This change does not affects pip install vidgear[asyncio] command.

Installation is as simple as:

Installing vidgear with only selective dependencies

Starting with version v0.2.2, you can now run any VidGear API by installing only just specific dependencies required by the API in use(except for some Core dependencies).

This is useful when you want to manually review, select and install minimal API-specific dependencies on bare-minimum vidgear from scratch on your system:

  • Install bare-minimum vidgear as follows:

    # Install stable release with bare-minimum dependencies
pip install -U vidgear

    # Install stable without any dependencies
pip install --no-deps vidgear<0.2.4

  • Then, you must install Critical dependencies(if not already):

    # Install opencv(only if not installed previously)
pip install opencv-python 

    # Install critical dependencies
pip install cython, numpy, requests, tqdm, colorlog

# Install opencv(only if not installed previously)
pip install opencv-python

  • Finally, manually install your API-specific dependencies as required by your API(in use):

    # Just copy-&-paste from table below
pip install <API-specific dependencies>
    APIs Dependencies
    CamGear yt_dlp
    PiGear picamera, picamera2 (see this for its installation)
    VideoGear Based on CamGear or PiGear backend in use
    ScreenGear dxcam, mss, pyscreenshot, Pillow
    WriteGear FFmpeg: See this doc ➶
    StreamGear FFmpeg: See this doc ➶
    NetGear pyzmq, simplejpeg
    WebGear starlette, jinja2, uvicorn, simplejpeg
    WebGear_RTC aiortc, starlette, jinja2, uvicorn
    NetGear_Async pyzmq, msgpack, msgpack_numpy, uvloop
    Stabilizer Class -
    APIs Dependencies
    CamGear pafy, yt_dlp, streamlink
    PiGear picamera
    VideoGear Based on CamGear or PiGear backend in use
    ScreenGear mss, pyscreenshot, Pillow
    WriteGear FFmpeg: See this doc ➶
    StreamGear FFmpeg: See this doc ➶
    NetGear pyzmq, simplejpeg
    WebGear starlette, jinja2, uvicorn, simplejpeg
    WebGear_RTC aiortc, starlette, jinja2, uvicorn
    NetGear_Async pyzmq, msgpack, msgpack_numpy, uvloop
    Stabilizer Class -
Windows Installation

If you are using Windows, some of the commands given below, may not work out-of-the-box.

A quick solution may be to preface every Python command with python -m like this:

# Install latest stable release with all Core dependencies
python -m pip install -U vidgear[core]

# Or Install latest stable release with all Core & Asyncio dependencies
python -m pip install -U vidgear[asyncio]

And, If you don't have the privileges to the directory you're installing package. Then use --user flag, that makes pip install packages in your home directory instead:

# Install latest stable release with all Core dependencies
python -m pip install --upgrade --user vidgear[core]

# Or Install latest stable release with all Core & Asyncio dependencies
python -m pip install --upgrade --user vidgear[asyncio]

Or, If you're using py as alias for installed python, then:

# Install latest stable release with all Core dependencies
py -m pip install --upgrade --user vidgear[core]

# Or Install latest stable release with all Core & Asyncio dependencies
py -m pip install --upgrade --user vidgear[asyncio]

# Install latest stable release with all Core dependencies
pip install -U vidgear[core]

# Or Install latest stable release with all Core & Asyncio dependencies
pip install -U vidgear[asyncio]

And if you prefer to install VidGear directly from the repository:

# Install latest stable release with all Core dependencies
pip install git+git://github.com/abhiTronix/vidgear@master#egg=vidgear[core]

# Or Install latest stable release with all Core & Asyncio dependencies
pip install git+git://github.com/abhiTronix/vidgear@master#egg=vidgear[asyncio]

Or you can also download its wheel (.whl) package from our repository's releases section, and thereby can be installed as follows:

# Install latest stable release with all Core dependencies
pip install vidgear-0.3.3-py3-none-any.whl[core]

# Or Install latest stable release with all Core & Asyncio dependencies
pip install vidgear-0.3.3-py3-none-any.whl[asyncio]

 

  1. âš  The ensurepip module is missing/disabled on Ubuntu. Use pip method only. ↩