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Build · Examples · Integration

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Welcome to join us to make GPUPixel better by participating discussions, opening issues, submitting PRs 👏.

Introduction

⛰️ GPUPixel is a real-time, high-performance image and video filter library, extremely easy to compile and integrate with small library size.

🔑 GPUPixel is written in C++11 and is based on OpenGL/ES, incorporating a built-in beauty face filter that achieves commercial-grade beauty effects.

🔌 GPUPixel supports platforms including iOS, Android, Mac, Win and Linux. It can theoretically be ported to any platform that supports OpenGL/ES.

Effects Preview

👉 Video: YouTube | BiliBili

Origin	Smooth	White	ThinFace
BigEye	Lipstick	Blusher	ON-OFF

Architecture

Features

This table compares the features supported by GPUPixel and GPUImage and Android-GPUImage:

✅: Supported | ❌: Not supported | ✏️: Planning

	GPUPixel	GPUImage	Android-GPUImage
📷 Filters:	✅	❌	❌
Skin Smoothing Filter	✅	❌	❌
Skin Whitening Filter	✅	❌	❌
Face Slimming Filter	✅	❌	❌
Big Eyes Filter	✅	❌	❌
Lipstick Filter	✅	❌	❌
Blush Filter	✅	❌	❌
More Build in Filter	✅	✅	✅
🎬 Input Formats:
YUV420P(I420)	✅	❌	❌
RGBA	✅	✅	✅
JPEG	✅	✅	✅
PNG	✅	✅	✅
NV21(for Android)	✏️	❌	❌
🎥 Output Formats:
RGBA	✅	✅	✅
YUV420P(I420)	✏️	❌	❌
💻 Platform:
iOS	✅	✅	❌
Mac	✅	✅	❌
Android	✅	❌	✅
Win	✅	❌	❌
Linux	✅	❌	❌

Performance

iPhone

-	iPhone 6P	iPhone 8	iPhone X	iPhone 11	iPhone 14 pro
CPU	5%	5%	3%	3%	3%
Time Taken	10ms	4ms	3ms	3ms	3ms

Android

-	Xiaomi 10	Huawei Mate30	Vivo	SAMSUNG	Google Pixel
CPU	3%	5%	-	-	-
Time Taken	6ms	5ms	-	-	-

Lib Size

	iOS(.framework)	MacOS(.framework)	Android(.aar)
Size	2.4 MB	2.6 MB	2.1 MB

Before You Start

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Getting Started

See the doc: Introduction | Build | Examples | Integrated

Contributing

Welcome to join us to make GPUPixel better by participating discussions, opening issues, submitting PRs.

At the same time, please consider supporting GPUPixel by sharing it on social media and at events and conferences.

Contributors

Contact & Support

• Doc : Online documentation.
• Issues : 👉 Github Issues.
• Mail : 👉 Send email to us.
• WeChat ：

Acknowledgement

Reference Project

1. GPUImage
2. CainCamera
3. AwemeLike
4. VNN

License

This repository is available under the MIT License.