Update docs metadata (#3781)

This commit is contained in:
Glenn Jocher
2023-07-17 12:40:04 +02:00
committed by GitHub
parent e324af6a12
commit e8030316f6
194 changed files with 783 additions and 308 deletions

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---
description: Explore Ultralytics YOLO neural network modules, Proto to BottleneckCSP. Detailed explanation of each module with easy-to-follow code examples.
keywords: YOLO, Ultralytics, neural network, nn.modules.block, Proto, HGBlock, SPPF, C2, C3, RepC3, C3Ghost, Bottleneck, BottleneckCSP
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## DFL
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### ::: ultralytics.nn.modules.block.DFL
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## BottleneckCSP
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### ::: ultralytics.nn.modules.block.BottleneckCSP
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description: Explore various Ultralytics convolution modules including Conv2, DWConv, ConvTranspose, GhostConv, Channel Attention and more.
keywords: Ultralytics, Convolution Modules, Conv2, DWConv, ConvTranspose, GhostConv, ChannelAttention, CBAM, autopad
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## Conv
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### ::: ultralytics.nn.modules.conv.Conv
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## autopad
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### ::: ultralytics.nn.modules.conv.autopad
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description: Explore docs covering Ultralytics YOLO detection, pose & RTDETRDecoder. Comprehensive guides to help you understand Ultralytics nn modules.
keywords: Ultralytics, YOLO, Detection, Pose, RTDETRDecoder, nn modules, guides
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## Detect
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### ::: ultralytics.nn.modules.head.Detect
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## RTDETRDecoder
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### ::: ultralytics.nn.modules.head.RTDETRDecoder
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description: Learn about Ultralytics transformer encoder, layer, MLP block, LayerNorm2d and the deformable transformer decoder layer. Expand your understanding of these crucial AI modules.
keywords: Ultralytics, Ultralytics documentation, TransformerEncoderLayer, TransformerLayer, MLPBlock, LayerNorm2d, DeformableTransformerDecoderLayer
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## TransformerEncoderLayer
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### ::: ultralytics.nn.modules.transformer.TransformerEncoderLayer
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## DeformableTransformerDecoder
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### ::: ultralytics.nn.modules.transformer.DeformableTransformerDecoder
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description: Explore Ultralytics neural network utils, such as bias_init_with_prob, inverse_sigmoid and multi_scale_deformable_attn_pytorch functions.
keywords: Ultralytics, neural network, nn.modules.utils, bias_init_with_prob, inverse_sigmoid, multi_scale_deformable_attn_pytorch
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## _get_clones
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### ::: ultralytics.nn.modules.utils._get_clones
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## multi_scale_deformable_attn_pytorch
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### ::: ultralytics.nn.modules.utils.multi_scale_deformable_attn_pytorch
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