79 lines
3.1 KiB
Markdown
79 lines
3.1 KiB
Markdown
---
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layout: forward
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target: https://developers.google.com/mediapipe/solutions/vision/image_segmenter/
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title: Hair Segmentation
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parent: Solutions
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nav_order: 8
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---
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# MediaPipe Hair Segmentation
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{: .no_toc }
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<details close markdown="block">
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<summary>
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Table of contents
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</summary>
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{: .text-delta }
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1. TOC
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{:toc}
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</details>
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---
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**Attention:** *Thank you for your interest in MediaPipe Solutions.
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As of April 4, 2023, this solution was upgraded to a new MediaPipe
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Solution. For more information, see the
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[MediaPipe Solutions](https://developers.google.com/mediapipe/solutions/vision/image_segmenter/)
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site.*
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----
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## Example Apps
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Please first see general instructions for
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[Android](../getting_started/android.md), [iOS](../getting_started/ios.md) and
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[desktop](../getting_started/cpp.md) on how to build MediaPipe examples.
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Note: To visualize a graph, copy the graph and paste it into
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[MediaPipe Visualizer](https://viz.mediapipe.dev/). For more information on how
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to visualize its associated subgraphs, please see
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[visualizer documentation](../tools/visualizer.md).
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### Mobile
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* Graph:
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[`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)
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* Android target:
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[(or download prebuilt ARM64 APK)](https://drive.google.com/open?id=1mmLtyL8IRfCUbqqu0-E-Hgjr_e6P3XAy)
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[`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)
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* iOS target: Not available
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### Desktop
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* Running on CPU: Not available
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* Running on GPU
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* Graph:
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[`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)
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* Target:
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[`mediapipe/examples/desktop/hair_segmentation:hair_segmentation_gpu`](https://github.com/google/mediapipe/tree/master/mediapipe/examples/desktop/hair_segmentation/BUILD)
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### Web
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Use [this link](https://viz.mediapipe.dev/demo/hair_segmentation) to load a demo
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in the MediaPipe Visualizer, and over there click the "Runner" icon in the top
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bar like shown below. The demos use your webcam video as input, which is
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processed all locally in real-time and never leaves your device. Please see
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[MediaPipe on the Web](https://developers.googleblog.com/2020/01/mediapipe-on-web.html)
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in Google Developers Blog for details.
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## Resources
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* Paper:
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[Real-time Hair segmentation and recoloring on Mobile GPUs](https://arxiv.org/abs/1907.06740)
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([presentation](https://drive.google.com/file/d/1C8WYlWdDRNtU1_pYBvkkG5Z5wqYqf0yj/view))
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([supplementary video](https://drive.google.com/file/d/1LPtM99Ch2ogyXYbDNpEqnUfhFq0TfLuf/view))
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* [Models and model cards](./models.md#hair_segmentation)
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