21 lines
936 B
Markdown
21 lines
936 B
Markdown
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---
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description: Explore the MaskDecoder and MLP modules in Ultralytics for efficient mask prediction using transformer architecture. Detailed attributes, functionalities, and implementation.
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keywords: Ultralytics, MaskDecoder, MLP, machine learning, transformer architecture, mask prediction, neural networks, PyTorch modules
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---
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# Reference for `ultralytics/models/sam/modules/decoders.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/decoders.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/decoders.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
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<br>
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## ::: ultralytics.models.sam.modules.decoders.MaskDecoder
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<br><br><hr><br>
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## ::: ultralytics.models.sam.modules.decoders.SAM2MaskDecoder
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<br><br>
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