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db1c5885d5
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com> Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
68 lines
1.0 KiB
Markdown
68 lines
1.0 KiB
Markdown
---
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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> |