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--- |
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license: other |
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license_name: aplux-model-farm-license |
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license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf |
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pipeline_tag: image-segmentation |
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tags: |
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- AIoT |
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- QNN |
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--- |
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## MediaPipe-Selfie-Segmentation: Semantic Segmentation |
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MediaPipe-Selfie-Segmentation is a real-time human segmentation model within Google's MediaPipe framework, optimized for efficient background separation. Leveraging deep learning, lightweight architecture, and hardware acceleration, it supports multi-resolution input on mobile and edge devices. Core features include precise subject extraction, background replacement/blurring, and applications in video conferencing (e.g., virtual backgrounds), AR filters (e.g., dynamic effects), and photo editing. With general and landscape versions, it balances low computational resource consumption with high-quality output, establishing itself as an industry benchmark for lightweight portrait segmentation. |
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### Source model |
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- Input shape: 1x3x256x256 |
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- Number of parameters: 0.11M |
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- Model size: 0.65M |
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- Output shape: 1x1x256x256 |
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The source model can be found [here](https://github.com/google-ai-edge/mediapipe/tree/master/mediapipe/modules/selfie_segmentation). |
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## Performance Reference |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## Inference & Model Conversion |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## License |
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- Source Model: [APACHE-2.0](https://github.com/google-ai-edge/mediapipe/blob/master/LICENSE) |
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- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf) |
