退购1.1定位算法
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docs/reference/nn/modules/block.md
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docs/reference/nn/modules/block.md
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---
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description: Explore ultralytics.nn.modules.block to build powerful YOLO object detection models. Master DFL, HGStem, SPP, CSP components and more.
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---
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# DFL
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---
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:::ultralytics.nn.modules.block.DFL
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<br><br>
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# Proto
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---
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:::ultralytics.nn.modules.block.Proto
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<br><br>
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# HGStem
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---
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:::ultralytics.nn.modules.block.HGStem
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<br><br>
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# HGBlock
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---
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:::ultralytics.nn.modules.block.HGBlock
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<br><br>
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# SPP
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---
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:::ultralytics.nn.modules.block.SPP
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<br><br>
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# SPPF
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---
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:::ultralytics.nn.modules.block.SPPF
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<br><br>
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# C1
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---
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:::ultralytics.nn.modules.block.C1
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<br><br>
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# C2
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---
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:::ultralytics.nn.modules.block.C2
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<br><br>
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# C2f
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---
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:::ultralytics.nn.modules.block.C2f
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<br><br>
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# C3
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---
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:::ultralytics.nn.modules.block.C3
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<br><br>
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# C3x
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---
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:::ultralytics.nn.modules.block.C3x
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<br><br>
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# RepC3
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---
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:::ultralytics.nn.modules.block.RepC3
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<br><br>
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# C3TR
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---
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:::ultralytics.nn.modules.block.C3TR
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<br><br>
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# C3Ghost
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---
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:::ultralytics.nn.modules.block.C3Ghost
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<br><br>
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# GhostBottleneck
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---
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:::ultralytics.nn.modules.block.GhostBottleneck
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<br><br>
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# Bottleneck
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---
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:::ultralytics.nn.modules.block.Bottleneck
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<br><br>
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# BottleneckCSP
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---
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:::ultralytics.nn.modules.block.BottleneckCSP
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<br><br>
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docs/reference/nn/modules/conv.md
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docs/reference/nn/modules/conv.md
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---
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description: Explore convolutional neural network modules & techniques such as LightConv, DWConv, ConvTranspose, GhostConv, CBAM & autopad with Ultralytics Docs.
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---
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# Conv
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---
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:::ultralytics.nn.modules.conv.Conv
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<br><br>
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# LightConv
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---
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:::ultralytics.nn.modules.conv.LightConv
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<br><br>
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# DWConv
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---
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:::ultralytics.nn.modules.conv.DWConv
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<br><br>
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# DWConvTranspose2d
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---
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:::ultralytics.nn.modules.conv.DWConvTranspose2d
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<br><br>
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# ConvTranspose
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---
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:::ultralytics.nn.modules.conv.ConvTranspose
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<br><br>
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# Focus
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---
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:::ultralytics.nn.modules.conv.Focus
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<br><br>
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# GhostConv
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---
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:::ultralytics.nn.modules.conv.GhostConv
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<br><br>
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# RepConv
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---
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:::ultralytics.nn.modules.conv.RepConv
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<br><br>
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# ChannelAttention
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---
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:::ultralytics.nn.modules.conv.ChannelAttention
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<br><br>
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# SpatialAttention
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---
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:::ultralytics.nn.modules.conv.SpatialAttention
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<br><br>
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# CBAM
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---
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:::ultralytics.nn.modules.conv.CBAM
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<br><br>
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# Concat
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---
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:::ultralytics.nn.modules.conv.Concat
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<br><br>
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# autopad
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---
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:::ultralytics.nn.modules.conv.autopad
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<br><br>
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docs/reference/nn/modules/head.md
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docs/reference/nn/modules/head.md
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---
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description: 'Learn about Ultralytics YOLO modules: Segment, Classify, and RTDETRDecoder. Optimize object detection and classification in your project.'
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---
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# Detect
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---
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:::ultralytics.nn.modules.head.Detect
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<br><br>
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# Segment
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---
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:::ultralytics.nn.modules.head.Segment
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<br><br>
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# Pose
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---
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:::ultralytics.nn.modules.head.Pose
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<br><br>
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# Classify
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---
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:::ultralytics.nn.modules.head.Classify
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<br><br>
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# RTDETRDecoder
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---
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:::ultralytics.nn.modules.head.RTDETRDecoder
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<br><br>
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docs/reference/nn/modules/transformer.md
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docs/reference/nn/modules/transformer.md
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---
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description: Explore the Ultralytics nn modules pages on Transformer and MLP blocks, LayerNorm2d, and Deformable Transformer Decoder Layer.
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---
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# TransformerEncoderLayer
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---
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:::ultralytics.nn.modules.transformer.TransformerEncoderLayer
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<br><br>
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# AIFI
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---
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:::ultralytics.nn.modules.transformer.AIFI
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<br><br>
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# TransformerLayer
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---
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:::ultralytics.nn.modules.transformer.TransformerLayer
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<br><br>
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# TransformerBlock
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---
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:::ultralytics.nn.modules.transformer.TransformerBlock
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<br><br>
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# MLPBlock
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---
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:::ultralytics.nn.modules.transformer.MLPBlock
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<br><br>
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# MLP
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---
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:::ultralytics.nn.modules.transformer.MLP
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<br><br>
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# LayerNorm2d
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---
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:::ultralytics.nn.modules.transformer.LayerNorm2d
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<br><br>
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# MSDeformAttn
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---
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:::ultralytics.nn.modules.transformer.MSDeformAttn
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<br><br>
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# DeformableTransformerDecoderLayer
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---
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:::ultralytics.nn.modules.transformer.DeformableTransformerDecoderLayer
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<br><br>
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# DeformableTransformerDecoder
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---
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:::ultralytics.nn.modules.transformer.DeformableTransformerDecoder
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<br><br>
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docs/reference/nn/modules/utils.md
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docs/reference/nn/modules/utils.md
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---
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description: 'Learn about Ultralytics NN modules: get_clones, linear_init_, and multi_scale_deformable_attn_pytorch. Code examples and usage tips.'
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---
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# _get_clones
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---
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:::ultralytics.nn.modules.utils._get_clones
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<br><br>
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# bias_init_with_prob
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---
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:::ultralytics.nn.modules.utils.bias_init_with_prob
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<br><br>
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# linear_init_
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---
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:::ultralytics.nn.modules.utils.linear_init_
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<br><br>
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# inverse_sigmoid
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---
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:::ultralytics.nn.modules.utils.inverse_sigmoid
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<br><br>
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# multi_scale_deformable_attn_pytorch
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---
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:::ultralytics.nn.modules.utils.multi_scale_deformable_attn_pytorch
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<br><br>
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