Update docs metadata (#3781)
This commit is contained in:
@ -1,3 +1,8 @@
|
||||
---
|
||||
description: Explore Ultralytics methods for mask data processing, transformation and encoding. Deepen your understanding of RLE encoding, image cropping and more.
|
||||
keywords: Ultralytics, Mask Data, Transformation, Encoding, RLE encoding, Image cropping, Pytorch, SAM, AMG, Ultralytics model
|
||||
---
|
||||
|
||||
## MaskData
|
||||
---
|
||||
### ::: ultralytics.models.sam.amg.MaskData
|
||||
@ -81,4 +86,4 @@
|
||||
## batched_mask_to_box
|
||||
---
|
||||
### ::: ultralytics.models.sam.amg.batched_mask_to_box
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,8 @@
|
||||
---
|
||||
description: Master building SAM ViT models with Ultralytics. Discover steps to leverage the power of SAM and Vision Transformer sessions.
|
||||
keywords: Ultralytics, SAM, build sam, vision transformer, vits, build_sam_vit_l, build_sam_vit_b, build_sam
|
||||
---
|
||||
|
||||
## build_sam_vit_h
|
||||
---
|
||||
### ::: ultralytics.models.sam.build.build_sam_vit_h
|
||||
@ -26,4 +31,4 @@
|
||||
## build_sam
|
||||
---
|
||||
### ::: ultralytics.models.sam.build.build_sam
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,4 +1,9 @@
|
||||
---
|
||||
description: Dive into the SAM model details in the Ultralytics YOLO documentation. Understand, implement, and optimize your model use.
|
||||
keywords: Ultralytics, YOLO, SAM Model, Documentations, Machine Learning, AI, Convolutional neural network
|
||||
---
|
||||
|
||||
## SAM
|
||||
---
|
||||
### ::: ultralytics.models.sam.model.SAM
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,8 @@
|
||||
---
|
||||
description: Explore MaskDecoder, a part of the Ultralytics models. Gain insights on how to utilize it effectively in the SAM modules decoders MLP.
|
||||
keywords: Ultralytics, MaskDecoder, SAM modules, decoders, MLP, YOLO, machine learning, image recognition
|
||||
---
|
||||
|
||||
## MaskDecoder
|
||||
---
|
||||
### ::: ultralytics.models.sam.modules.decoders.MaskDecoder
|
||||
@ -6,4 +11,4 @@
|
||||
## MLP
|
||||
---
|
||||
### ::: ultralytics.models.sam.modules.decoders.MLP
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,8 @@
|
||||
---
|
||||
description: Discover detailed information on ImageEncoderViT, PositionEmbeddingRandom, Attention, window_partition, get_rel_pos and more in Ultralytics models encoders documentation.
|
||||
keywords: Ultralytics, Encoders, Modules, Documentation, ImageEncoderViT, PositionEmbeddingRandom, Attention, window_partition, get_rel_pos
|
||||
---
|
||||
|
||||
## ImageEncoderViT
|
||||
---
|
||||
### ::: ultralytics.models.sam.modules.encoders.ImageEncoderViT
|
||||
@ -46,4 +51,4 @@
|
||||
## add_decomposed_rel_pos
|
||||
---
|
||||
### ::: ultralytics.models.sam.modules.encoders.add_decomposed_rel_pos
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,4 +1,9 @@
|
||||
---
|
||||
description: Explore the Sam module of Ultralytics. Discover detailed methods, classes, and information for efficient deep-learning model training!.
|
||||
keywords: Ultralytics, Sam module, deep learning, model training, Ultralytics documentation
|
||||
---
|
||||
|
||||
## Sam
|
||||
---
|
||||
### ::: ultralytics.models.sam.modules.sam.Sam
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,8 @@
|
||||
---
|
||||
description: Get in-depth insights about Ultralytics Tiny Encoder Modules such as Conv2d_BN, MBConv, ConvLayer, Attention, BasicLayer, and TinyViT. Improve your understanding of machine learning model components.
|
||||
keywords: Ultralytics, Tiny Encoder, Conv2d_BN, MBConv, ConvLayer, Attention, BasicLayer, TinyViT, Machine learning modules, Ultralytics models
|
||||
---
|
||||
|
||||
## Conv2d_BN
|
||||
---
|
||||
### ::: ultralytics.models.sam.modules.tiny_encoder.Conv2d_BN
|
||||
@ -51,4 +56,4 @@
|
||||
## TinyViT
|
||||
---
|
||||
### ::: ultralytics.models.sam.modules.tiny_encoder.TinyViT
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,8 @@
|
||||
---
|
||||
description: Learn about TwoWayTransformer and Attention modules in Ultralytics. Leverage these tools to enhance your AI models.
|
||||
keywords: Ultralytics, TwoWayTransformer, Attention, AI models, transformers
|
||||
---
|
||||
|
||||
## TwoWayTransformer
|
||||
---
|
||||
### ::: ultralytics.models.sam.modules.transformer.TwoWayTransformer
|
||||
@ -11,4 +16,4 @@
|
||||
## Attention
|
||||
---
|
||||
### ::: ultralytics.models.sam.modules.transformer.Attention
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,4 +1,9 @@
|
||||
---
|
||||
description: Master the ultralytics.models.sam.predict.Predictor class with our comprehensive guide. Discover techniques to enhance your model predictions.
|
||||
keywords: Ultralytics, predictor, models, sam.predict.Predictor, AI, machine learning, predictive models
|
||||
---
|
||||
|
||||
## Predictor
|
||||
---
|
||||
### ::: ultralytics.models.sam.predict.Predictor
|
||||
<br><br>
|
||||
<br><br>
|
Reference in New Issue
Block a user