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ultralytics 8.0.99 HUB resume fix and Docs updates (#2567)

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Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
This commit is contained in:
Glenn Jocher
2023-05-12 18:33:32 +02:00
committed by GitHub
parent 229119c376
commit db1c5885d5
19 changed files with 486 additions and 52 deletions
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6
docs/reference/nn/modules/block.md
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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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# 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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docs/reference/nn/modules/conv.md
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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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# 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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docs/reference/nn/modules/head.md
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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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# 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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docs/reference/nn/modules/transformer.md
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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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# 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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docs/reference/nn/modules/utils.md
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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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# _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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