21 lines
1.0 KiB
Markdown
21 lines
1.0 KiB
Markdown
|
---
|
||
|
|
description: Explore the MaskDecoder and MLP modules in Ultralytics for efficient mask prediction using transformer architecture. Detailed attributes, functionalities, and implementation.
|
||
|
|
keywords: Ultralytics, MaskDecoder, MLP, machine learning, transformer architecture, mask prediction, neural networks, PyTorch modules
|
||
|
|
---
|
||
|
|
|
||
|
|
# Reference for `ultralytics/models/sam/modules/decoders.py`
|
||
|
|
|
||
|
|
!!! note
|
||
|
|
|
||
|
|
This file is available at [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). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/decoders.py) 🛠️. Thank you 🙏!
|
||
|
|
|
||
|
|
<br>
|
||
|
|
|
||
|
|
## ::: ultralytics.models.sam.modules.decoders.MaskDecoder
|
||
|
|
|
||
|
|
<br><br><hr><br>
|
||
|
|
|
||
|
|
## ::: ultralytics.models.sam.modules.decoders.SAM2MaskDecoder
|
||
|
|
|
||
|
|
<br><br>
|