mediapipe/docs/solutions/hair_segmentation.md

---
layout: forward
target: https://developers.google.com/mediapipe/solutions/vision/image_segmenter/
title: Hair Segmentation
parent: MediaPipe Legacy Solutions
nav_order: 8
---

# MediaPipe Hair Segmentation
{: .no_toc }

<details close markdown="block">
  <summary>
    Table of contents
  </summary>
  {: .text-delta }
1. TOC
{:toc}
</details>
---

**Attention:** *Thank you for your interest in MediaPipe Solutions.
As of April 4, 2023, this solution was upgraded to a new MediaPipe
Solution. For more information, see the
[MediaPipe Solutions](https://developers.google.com/mediapipe/solutions/vision/image_segmenter/)
site.*

----

![hair_segmentation_android_gpu_gif](https://mediapipe.dev/images/mobile/hair_segmentation_android_gpu.gif)

## Example Apps

Please first see general instructions for
[Android](../getting_started/android.md), [iOS](../getting_started/ios.md) and
[desktop](../getting_started/cpp.md) on how to build MediaPipe examples.

Note: To visualize a graph, copy the graph and paste it into
[MediaPipe Visualizer](https://viz.mediapipe.dev/). For more information on how
to visualize its associated subgraphs, please see
[visualizer documentation](../tools/visualizer.md).

### Mobile

*   Graph:
    [`mediapipe/graphs/hair_segmentation/hair_segmentation_mobile_gpu.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/hair_segmentation/hair_segmentation_mobile_gpu.pbtxt)
*   Android target:
    [(or download prebuilt ARM64 APK)](https://drive.google.com/open?id=1mmLtyL8IRfCUbqqu0-E-Hgjr_e6P3XAy)
    [`mediapipe/examples/android/src/java/com/google/mediapipe/apps/hairsegmentationgpu:hairsegmentationgpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/hairsegmentationgpu/BUILD)
*   iOS target: Not available

### Desktop

*   Running on CPU: Not available
*   Running on GPU
    *   Graph:
        [`mediapipe/graphs/hair_segmentation/hair_segmentation_mobile_gpu.pbtxt`](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/hair_segmentation/hair_segmentation_mobile_gpu.pbtxt)
    *   Target:
        [`mediapipe/examples/desktop/hair_segmentation:hair_segmentation_gpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/desktop/hair_segmentation/BUILD)

### Web

Use [this link](https://viz.mediapipe.dev/demo/hair_segmentation) to load a demo
in the MediaPipe Visualizer, and over there click the "Runner" icon in the top
bar like shown below. The demos use your webcam video as input, which is
processed all locally in real-time and never leaves your device. Please see
[MediaPipe on the Web](https://developers.googleblog.com/2020/01/mediapipe-on-web.html)
in Google Developers Blog for details.

![visualizer_runner](https://mediapipe.dev/images/visualizer_runner.png)

## Resources

*   Paper:
    [Real-time Hair segmentation and recoloring on Mobile GPUs](https://arxiv.org/abs/1907.06740)
    ([presentation](https://drive.google.com/file/d/1C8WYlWdDRNtU1_pYBvkkG5Z5wqYqf0yj/view))
    ([supplementary video](https://drive.google.com/file/d/1LPtM99Ch2ogyXYbDNpEqnUfhFq0TfLuf/view))
*   [Models and model cards](./models.md#hair_segmentation)