mirror of
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This commit is contained in:
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24
docs/en/reference/nn/autobackend.md
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docs/en/reference/nn/autobackend.md
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---
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description: Get to know more about Ultralytics nn.autobackend.check_class_names functionality. Optimize your YOLO models seamlessly.
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keywords: Ultralytics, AutoBackend, check_class_names, YOLO, YOLO models, optimization
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---
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# Reference for `ultralytics/nn/autobackend.py`
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!!! Note
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/autobackend.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/autobackend.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/nn/autobackend.py) 🛠️. Thank you 🙏!
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<br><br>
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## ::: ultralytics.nn.autobackend.AutoBackend
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<br><br>
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## ::: ultralytics.nn.autobackend.check_class_names
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<br><br>
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## ::: ultralytics.nn.autobackend.default_class_names
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<br><br>
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docs/en/reference/nn/modules/block.md
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docs/en/reference/nn/modules/block.md
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---
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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.
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keywords: YOLO, Ultralytics, neural network, nn.modules.block, Proto, HGBlock, SPPF, C2, C3, RepC3, C3Ghost, Bottleneck, BottleneckCSP
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---
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# Reference for `ultralytics/nn/modules/block.py`
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!!! Note
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/block.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/block.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/nn/modules/block.py) 🛠️. Thank you 🙏!
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<br><br>
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## ::: ultralytics.nn.modules.block.DFL
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<br><br>
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## ::: ultralytics.nn.modules.block.Proto
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<br><br>
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## ::: ultralytics.nn.modules.block.HGStem
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<br><br>
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## ::: ultralytics.nn.modules.block.HGBlock
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<br><br>
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## ::: ultralytics.nn.modules.block.SPP
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<br><br>
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## ::: ultralytics.nn.modules.block.SPPF
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<br><br>
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## ::: ultralytics.nn.modules.block.C1
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<br><br>
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## ::: ultralytics.nn.modules.block.C2
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<br><br>
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## ::: ultralytics.nn.modules.block.C2f
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<br><br>
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## ::: ultralytics.nn.modules.block.C3
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<br><br>
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## ::: ultralytics.nn.modules.block.C3x
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<br><br>
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## ::: ultralytics.nn.modules.block.RepC3
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<br><br>
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## ::: ultralytics.nn.modules.block.C3TR
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<br><br>
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## ::: ultralytics.nn.modules.block.C3Ghost
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<br><br>
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## ::: ultralytics.nn.modules.block.GhostBottleneck
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<br><br>
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## ::: ultralytics.nn.modules.block.Bottleneck
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<br><br>
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## ::: ultralytics.nn.modules.block.BottleneckCSP
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<br><br>
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## ::: ultralytics.nn.modules.block.ResNetBlock
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<br><br>
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## ::: ultralytics.nn.modules.block.ResNetLayer
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<br><br>
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## ::: ultralytics.nn.modules.block.MaxSigmoidAttnBlock
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<br><br>
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## ::: ultralytics.nn.modules.block.C2fAttn
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<br><br>
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## ::: ultralytics.nn.modules.block.ImagePoolingAttn
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<br><br>
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## ::: ultralytics.nn.modules.block.ContrastiveHead
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<br><br>
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## ::: ultralytics.nn.modules.block.BNContrastiveHead
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<br><br>
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## ::: ultralytics.nn.modules.block.RepBottleneck
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<br><br>
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## ::: ultralytics.nn.modules.block.RepCSP
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<br><br>
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## ::: ultralytics.nn.modules.block.RepNCSPELAN4
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<br><br>
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## ::: ultralytics.nn.modules.block.ADown
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<br><br>
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## ::: ultralytics.nn.modules.block.SPPELAN
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<br><br>
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## ::: ultralytics.nn.modules.block.Silence
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<br><br>
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## ::: ultralytics.nn.modules.block.CBLinear
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<br><br>
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## ::: ultralytics.nn.modules.block.CBFuse
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<br><br>
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68
docs/en/reference/nn/modules/conv.md
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docs/en/reference/nn/modules/conv.md
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---
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description: Explore various Ultralytics convolution modules including Conv2, DWConv, ConvTranspose, GhostConv, Channel Attention and more.
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keywords: Ultralytics, Convolution Modules, Conv2, DWConv, ConvTranspose, GhostConv, ChannelAttention, CBAM, autopad
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---
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# Reference for `ultralytics/nn/modules/conv.py`
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!!! Note
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.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/nn/modules/conv.py) 🛠️. Thank you 🙏!
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<br><br>
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## ::: ultralytics.nn.modules.conv.Conv
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<br><br>
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## ::: ultralytics.nn.modules.conv.Conv2
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<br><br>
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## ::: ultralytics.nn.modules.conv.LightConv
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<br><br>
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## ::: ultralytics.nn.modules.conv.DWConv
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<br><br>
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## ::: ultralytics.nn.modules.conv.DWConvTranspose2d
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<br><br>
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## ::: ultralytics.nn.modules.conv.ConvTranspose
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<br><br>
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## ::: ultralytics.nn.modules.conv.Focus
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<br><br>
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## ::: ultralytics.nn.modules.conv.GhostConv
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<br><br>
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## ::: ultralytics.nn.modules.conv.RepConv
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<br><br>
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## ::: ultralytics.nn.modules.conv.ChannelAttention
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<br><br>
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## ::: ultralytics.nn.modules.conv.SpatialAttention
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<br><br>
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## ::: ultralytics.nn.modules.conv.CBAM
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<br><br>
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## ::: ultralytics.nn.modules.conv.Concat
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<br><br>
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## ::: ultralytics.nn.modules.conv.autopad
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<br><br>
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40
docs/en/reference/nn/modules/head.md
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docs/en/reference/nn/modules/head.md
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---
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description: Explore docs covering Ultralytics YOLO detection, pose & RTDETRDecoder. Comprehensive guides to help you understand Ultralytics nn modules.
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keywords: Ultralytics, YOLO, Detection, Pose, RTDETRDecoder, nn modules, guides
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---
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# Reference for `ultralytics/nn/modules/head.py`
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!!! Note
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/head.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/head.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/nn/modules/head.py) 🛠️. Thank you 🙏!
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<br><br>
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## ::: ultralytics.nn.modules.head.Detect
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<br><br>
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## ::: ultralytics.nn.modules.head.Segment
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<br><br>
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## ::: ultralytics.nn.modules.head.OBB
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<br><br>
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## ::: ultralytics.nn.modules.head.Pose
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<br><br>
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## ::: ultralytics.nn.modules.head.Classify
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<br><br>
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## ::: ultralytics.nn.modules.head.WorldDetect
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<br><br>
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## ::: ultralytics.nn.modules.head.RTDETRDecoder
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<br><br>
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52
docs/en/reference/nn/modules/transformer.md
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docs/en/reference/nn/modules/transformer.md
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---
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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.
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keywords: Ultralytics, Ultralytics documentation, TransformerEncoderLayer, TransformerLayer, MLPBlock, LayerNorm2d, DeformableTransformerDecoderLayer
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---
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# Reference for `ultralytics/nn/modules/transformer.py`
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!!! Note
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/transformer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/transformer.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/nn/modules/transformer.py) 🛠️. Thank you 🙏!
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<br><br>
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## ::: ultralytics.nn.modules.transformer.TransformerEncoderLayer
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<br><br>
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## ::: ultralytics.nn.modules.transformer.AIFI
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<br><br>
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## ::: ultralytics.nn.modules.transformer.TransformerLayer
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<br><br>
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## ::: ultralytics.nn.modules.transformer.TransformerBlock
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<br><br>
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## ::: ultralytics.nn.modules.transformer.MLPBlock
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<br><br>
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## ::: ultralytics.nn.modules.transformer.MLP
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<br><br>
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## ::: ultralytics.nn.modules.transformer.LayerNorm2d
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<br><br>
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## ::: ultralytics.nn.modules.transformer.MSDeformAttn
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<br><br>
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## ::: ultralytics.nn.modules.transformer.DeformableTransformerDecoderLayer
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<br><br>
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## ::: ultralytics.nn.modules.transformer.DeformableTransformerDecoder
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<br><br>
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32
docs/en/reference/nn/modules/utils.md
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---
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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.
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keywords: Ultralytics, neural network, nn.modules.utils, bias_init_with_prob, inverse_sigmoid, multi_scale_deformable_attn_pytorch
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---
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# Reference for `ultralytics/nn/modules/utils.py`
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!!! Note
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/utils.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/nn/modules/utils.py) 🛠️. Thank you 🙏!
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<br><br>
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## ::: ultralytics.nn.modules.utils._get_clones
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<br><br>
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## ::: ultralytics.nn.modules.utils.bias_init_with_prob
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<br><br>
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## ::: ultralytics.nn.modules.utils.linear_init
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<br><br>
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## ::: ultralytics.nn.modules.utils.inverse_sigmoid
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<br><br>
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## ::: ultralytics.nn.modules.utils.multi_scale_deformable_attn_pytorch
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<br><br>
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docs/en/reference/nn/tasks.md
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docs/en/reference/nn/tasks.md
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---
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description: Dive into the intricacies of YOLO tasks.py. Learn about DetectionModel, PoseModel and more for powerful AI development.
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keywords: Ultralytics, YOLO, nn tasks, DetectionModel, PoseModel, RTDETRDetectionModel, model weights, parse model, AI development
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---
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# Reference for `ultralytics/nn/tasks.py`
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!!! Note
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/tasks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/tasks.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/nn/tasks.py) 🛠️. Thank you 🙏!
|
||||
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<br><br>
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## ::: ultralytics.nn.tasks.BaseModel
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<br><br>
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## ::: ultralytics.nn.tasks.DetectionModel
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<br><br>
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## ::: ultralytics.nn.tasks.OBBModel
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<br><br>
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## ::: ultralytics.nn.tasks.SegmentationModel
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<br><br>
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## ::: ultralytics.nn.tasks.PoseModel
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<br><br>
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## ::: ultralytics.nn.tasks.ClassificationModel
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<br><br>
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## ::: ultralytics.nn.tasks.RTDETRDetectionModel
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<br><br>
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## ::: ultralytics.nn.tasks.WorldModel
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<br><br>
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## ::: ultralytics.nn.tasks.Ensemble
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<br><br>
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## ::: ultralytics.nn.tasks.temporary_modules
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<br><br>
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## ::: ultralytics.nn.tasks.torch_safe_load
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<br><br>
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## ::: ultralytics.nn.tasks.attempt_load_weights
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<br><br>
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## ::: ultralytics.nn.tasks.attempt_load_one_weight
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<br><br>
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## ::: ultralytics.nn.tasks.parse_model
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<br><br>
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## ::: ultralytics.nn.tasks.yaml_model_load
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<br><br>
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## ::: ultralytics.nn.tasks.guess_model_scale
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<br><br>
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## ::: ultralytics.nn.tasks.guess_model_task
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<br><br>
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