Welcome to join us to make GPUPixel better by participating discussions, opening issues, submitting PRs 👏.
⛰️ 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.
| Origin | Smooth | White | ThinFace |
|---|---|---|---|
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| BigEye | Lipstick | Blusher | ON-OFF |
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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 | ✅ | ❌ | ❌ |
| - | iPhone 6P | iPhone 8 | iPhone X | iPhone 11 | iPhone 14 pro |
|---|---|---|---|---|---|
| CPU | 5% | 5% | 3% | 3% | 3% |
| Time Taken | 10ms | 4ms | 3ms | 3ms | 3ms |
| - | Xiaomi 10 | Huawei Mate30 | Vivo | SAMSUNG | Google Pixel |
|---|---|---|---|---|---|
| CPU | 3% | 5% | - | - | - |
| Time Taken | 6ms | 5ms | - | - | - |
| iOS(.framework) | MacOS(.framework) | Android(.aar) | |
|---|---|---|---|
| Size | 2.4 MB | 2.6 MB | 2.1 MB |
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See the doc: Introduction | Build | Examples | Integrated
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.
This repository is available under the MIT License.