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✨ Update README for improved visual consistency and clarity

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-->
<h1 align="center">
<img src="https://abhitronix.github.io/vidgear/latest/assets/images/vidgear.png" alt="VidGear" title="Logo designed by Abhishek Thakur(@abhiTronix), under CC-BY-NC-SA 4.0 License" width="75%"/>
<img src="https://abhitronix.github.io/vidgear/latest/assets/images/vidgear.png" alt="VidGear" title="Logo designed by Abhishek Thakur(@abhiTronix), under CC-BY-NC-SA 4.0 License" width="80%"/>
</h1>
<h1 align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="docs/overrides/assets/images/tagline-dark.png" width="80%">
<img alt="VidGear tagline" src="docs/overrides/assets/images/tagline-light.png" width="80%">
<source media="(prefers-color-scheme: dark)" srcset="docs/overrides/assets/images/tagline-dark.png" width="70%">
<img alt="VidGear tagline" src="docs/overrides/assets/images/tagline-light.png" width="70%">
</picture>
</h1>
@@ -38,7 +38,8 @@ limitations under the License.
</div>
<div align="center"><h2>Our Sponsors ✨</h2></div>
<h1 align="left"> Our Sponsors 🤝 </h1>
<div align="left">
| <h3>Recall.ai - API for meeting recordings</h3> |
@@ -48,15 +49,17 @@ limitations under the License.
</div>
<h2></h2>
> [!NOTE]
> Vidgear is made possible because of our supporters on GitHub Sponsors. To learn more, please check out our [sponsorship page](https://github.com/sponsors/abhiTronix).
&thinsp;
&nbsp;
# Project Overview
# Overview
VidGear 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], [picamera2][picamera2], [starlette][starlette], [yt_dlp][yt_dlp], [pyscreenshot][pyscreenshot], [dxcam][dxcam], [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 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], [picamera2][picamera2], [starlette][starlette], [yt_dlp][yt_dlp], [pyscreenshot][pyscreenshot], [dxcam][dxcam], [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.
> [!TIP]
> Jump straight to [Getting Started ➶](#getting-started) section if you're new to VidGear.
The following **functional block diagram** clearly depicts the generalized functioning of VidGear APIs:
@@ -94,7 +97,7 @@ The following **functional block diagram** clearly depicts the generalized funct
### What is vidgear?
> _"VidGear is a cross-platform High-Performance Framework that provides an one-stop **Video-Processing** solution for building complex real-time media applications in python."_
> _"VidGear is a cross-platform **High-Performance** Framework that provides an one-stop **Video-Processing** solution for building complex real-time media applications in python."_
### What does it do?
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## Getting Started
If this is your first time using VidGear, head straight to the [Installation ➶][installation] to 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]**