单目3D初始代码
This commit is contained in:
zhao.zhu
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docs/en/reference/nn/modules/activation.md
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docs/en/reference/nn/modules/activation.md
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---
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description: Explore activation functions in Ultralytics, including the Unified activation function and other custom implementations for neural networks.
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keywords: ultralytics, activation functions, neural networks, Unified activation, AGLU, SiLU, ReLU, PyTorch, deep learning, custom activations
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---
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# Reference for `ultralytics/nn/modules/activation.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/activation.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/activation.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.nn.modules.activation.AGLU
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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 detailed documentation of block modules in Ultralytics, available for deep learning tasks. Contribute and improve the codebase.
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keywords: Ultralytics, YOLO, neural networks, block modules, DFL, Proto, HGStem, HGBlock, SPP, SPPF, C1, C2, C2f, C3, C3x, RepC3, C3TR, C3Ghost, GhostBottleneck, Bottleneck, BottleneckCSP, ResNetBlock, MaxSigmoidAttnBlock, ImagePoolingAttn, ContrastiveHead, RepBottleneck, RepCSP, RepNCSPELAN4, ADown, SPPELAN, Silence, CBLinear, CBFuse
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---
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# Reference for `ultralytics/nn/modules/block.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/block.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/block.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.nn.modules.block.DFL
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## ::: ultralytics.nn.modules.block.Proto
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## ::: ultralytics.nn.modules.block.HGStem
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## ::: ultralytics.nn.modules.block.HGBlock
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## ::: ultralytics.nn.modules.block.SPP
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## ::: ultralytics.nn.modules.block.SPPF
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## ::: ultralytics.nn.modules.block.C1
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## ::: ultralytics.nn.modules.block.C2
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## ::: ultralytics.nn.modules.block.C2f
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## ::: ultralytics.nn.modules.block.C3
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## ::: ultralytics.nn.modules.block.C3x
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## ::: ultralytics.nn.modules.block.RepC3
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## ::: ultralytics.nn.modules.block.C3TR
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## ::: ultralytics.nn.modules.block.C3Ghost
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## ::: ultralytics.nn.modules.block.GhostBottleneck
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## ::: ultralytics.nn.modules.block.Bottleneck
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## ::: ultralytics.nn.modules.block.BottleneckCSP
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## ::: ultralytics.nn.modules.block.ResNetBlock
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## ::: ultralytics.nn.modules.block.ResNetLayer
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## ::: ultralytics.nn.modules.block.MaxSigmoidAttnBlock
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## ::: ultralytics.nn.modules.block.C2fAttn
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## ::: ultralytics.nn.modules.block.ImagePoolingAttn
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## ::: ultralytics.nn.modules.block.ContrastiveHead
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## ::: ultralytics.nn.modules.block.BNContrastiveHead
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## ::: ultralytics.nn.modules.block.RepBottleneck
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## ::: ultralytics.nn.modules.block.RepCSP
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## ::: ultralytics.nn.modules.block.RepNCSPELAN4
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## ::: ultralytics.nn.modules.block.ELAN1
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## ::: ultralytics.nn.modules.block.AConv
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## ::: ultralytics.nn.modules.block.ADown
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## ::: ultralytics.nn.modules.block.SPPELAN
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## ::: ultralytics.nn.modules.block.CBLinear
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## ::: ultralytics.nn.modules.block.CBFuse
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## ::: ultralytics.nn.modules.block.C3f
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## ::: ultralytics.nn.modules.block.C3k2
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## ::: ultralytics.nn.modules.block.C3k
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## ::: ultralytics.nn.modules.block.RepVGGDW
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## ::: ultralytics.nn.modules.block.CIB
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## ::: ultralytics.nn.modules.block.C2fCIB
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## ::: ultralytics.nn.modules.block.Attention
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## ::: ultralytics.nn.modules.block.PSABlock
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## ::: ultralytics.nn.modules.block.PSA
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## ::: ultralytics.nn.modules.block.C2PSA
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## ::: ultralytics.nn.modules.block.C2fPSA
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## ::: ultralytics.nn.modules.block.SCDown
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## ::: ultralytics.nn.modules.block.TorchVision
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## ::: ultralytics.nn.modules.block.AAttn
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## ::: ultralytics.nn.modules.block.ABlock
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## ::: ultralytics.nn.modules.block.A2C2f
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## ::: ultralytics.nn.modules.block.SwiGLUFFN
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## ::: ultralytics.nn.modules.block.Residual
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## ::: ultralytics.nn.modules.block.SAVPE
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## ::: ultralytics.nn.modules.block.Proto26
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## ::: ultralytics.nn.modules.block.RealNVP
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<br><br>
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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 detailed documentation on convolution modules like Conv, LightConv, GhostConv, and more used in Ultralytics models.
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keywords: Ultralytics, convolution modules, Conv, LightConv, GhostConv, YOLO, deep learning, neural networks
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---
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# Reference for `ultralytics/nn/modules/conv.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.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.nn.modules.conv.Conv
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## ::: ultralytics.nn.modules.conv.Conv2
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## ::: ultralytics.nn.modules.conv.LightConv
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## ::: ultralytics.nn.modules.conv.DWConv
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## ::: ultralytics.nn.modules.conv.DWConvTranspose2d
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## ::: ultralytics.nn.modules.conv.ConvTranspose
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## ::: ultralytics.nn.modules.conv.Focus
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## ::: ultralytics.nn.modules.conv.GhostConv
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## ::: ultralytics.nn.modules.conv.RepConv
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## ::: ultralytics.nn.modules.conv.ChannelAttention
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## ::: ultralytics.nn.modules.conv.SpatialAttention
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## ::: ultralytics.nn.modules.conv.CBAM
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## ::: ultralytics.nn.modules.conv.Concat
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## ::: ultralytics.nn.modules.conv.Index
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## ::: ultralytics.nn.modules.conv.autopad
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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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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/head.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/head.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.nn.modules.head.Detect
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## ::: ultralytics.nn.modules.head.Segment
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## ::: ultralytics.nn.modules.head.Segment26
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## ::: ultralytics.nn.modules.head.OBB
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## ::: ultralytics.nn.modules.head.OBB26
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## ::: ultralytics.nn.modules.head.Pose
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## ::: ultralytics.nn.modules.head.Pose26
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## ::: ultralytics.nn.modules.head.Classify
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## ::: ultralytics.nn.modules.head.WorldDetect
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## ::: ultralytics.nn.modules.head.LRPCHead
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## ::: ultralytics.nn.modules.head.YOLOEDetect
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## ::: ultralytics.nn.modules.head.YOLOESegment
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## ::: ultralytics.nn.modules.head.YOLOESegment26
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## ::: ultralytics.nn.modules.head.RTDETRDecoder
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## ::: ultralytics.nn.modules.head.v10Detect
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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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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/transformer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/transformer.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.nn.modules.transformer.TransformerEncoderLayer
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## ::: ultralytics.nn.modules.transformer.AIFI
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## ::: ultralytics.nn.modules.transformer.TransformerLayer
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## ::: ultralytics.nn.modules.transformer.TransformerBlock
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## ::: ultralytics.nn.modules.transformer.MLPBlock
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## ::: ultralytics.nn.modules.transformer.MLP
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## ::: ultralytics.nn.modules.transformer.LayerNorm2d
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## ::: ultralytics.nn.modules.transformer.MSDeformAttn
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## ::: ultralytics.nn.modules.transformer.DeformableTransformerDecoderLayer
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## ::: ultralytics.nn.modules.transformer.DeformableTransformerDecoder
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docs/en/reference/nn/modules/utils.md
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docs/en/reference/nn/modules/utils.md
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description: Explore the detailed reference of utility functions in the Ultralytics PyTorch modules. Learn about initialization, inverse sigmoid, and multiscale deformable attention.
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keywords: Ultralytics, PyTorch, utils, initialization, inverse sigmoid, multiscale deformable attention, deep learning, neural networks
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---
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# Reference for `ultralytics/nn/modules/utils.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/utils.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.nn.modules.utils._get_clones
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## ::: ultralytics.nn.modules.utils.bias_init_with_prob
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## ::: ultralytics.nn.modules.utils.linear_init
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## ::: ultralytics.nn.modules.utils.inverse_sigmoid
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## ::: ultralytics.nn.modules.utils.multi_scale_deformable_attn_pytorch
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<br><br>
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Reference in New Issue
Block a user