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| # YOLOv5 🚀 by Ultralytics, GPL-3.0 license | ||
|
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| # Parameters | ||
| nc: 80 # number of classes | ||
| depth_multiple: 0.33 # model depth multiple | ||
| width_multiple: 0.50 # layer channel multiple | ||
| anchors: | ||
| - [10,13, 16,30, 33,23] # P3/8 | ||
| - [30,61, 62,45, 59,119] # P4/16 | ||
| - [116,90, 156,198, 373,326] # P5/32 | ||
|
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| # YOLOv5 backbone | ||
| # [128, 256, 512, 1024] | ||
| backbone: | ||
| [[-1, 1, ConvNeXt, [128, 0, [3, 3, 27, 3], 128]], | ||
| [-1, 1, ConvNeXt, [256, 1, [3, 3, 27, 3], 128]], | ||
| [-1, 1, ConvNeXt, [512, 2, [3, 3, 27, 3], 128]], | ||
| [-1, 1, ConvNeXt, [1024, 3, [3, 3, 27, 3], 128]], | ||
| ] | ||
|
|
||
| # YOLOv5 head | ||
| head: | ||
| [[-1, 1, Conv, [1024, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 2], 1, Concat, [1]], | ||
| [-1, 3, C3, [1024, False]], | ||
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| [-1, 1, Conv, [512, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 1], 1, Concat, [1]], | ||
| [-1, 3, C3, [512, False]], | ||
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| [-1, 1, Conv, [512, 3, 2]], | ||
| [[-1, 8], 1, Concat, [1]], | ||
| [-1, 3, C3, [1024, False]], | ||
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| [-1, 1, Conv, [1024, 3, 2]], | ||
| [[-1, 4], 1, Concat, [1]], # cat head P5 | ||
| [-1, 3, C3, [1024, False]], # 23 (P5/32-large) | ||
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| [[11, 14, 17], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | ||
| ] | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,43 @@ | ||
| # YOLOv5 🚀 by Ultralytics, GPL-3.0 license | ||
|
|
||
| # Parameters | ||
| nc: 80 # number of classes | ||
| depth_multiple: 0.33 # model depth multiple | ||
| width_multiple: 0.50 # layer channel multiple | ||
| anchors: | ||
| - [10,13, 16,30, 33,23] # P3/8 | ||
| - [30,61, 62,45, 59,119] # P4/16 | ||
| - [116,90, 156,198, 373,326] # P5/32 | ||
|
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| # YOLOv5 backbone | ||
| # [from, number, module, args] | ||
| backbone: | ||
| [[-1, 1, ConvNeXt, [256, 0, [3, 3, 27, 3], 256]], | ||
| [-1, 1, ConvNeXt, [512, 1, [3, 3, 27, 3], 256]], | ||
| [-1, 1, ConvNeXt, [1024, 2, [3, 3, 27, 3], 256]], | ||
| [-1, 1, ConvNeXt, [2048, 3, [3, 3, 27, 3], 256]], | ||
| ] | ||
|
|
||
| # YOLOv5 head | ||
| head: | ||
| [[-1, 1, Conv, [2048, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 2], 1, Concat, [1]], | ||
| [-1, 3, C3, [2048, False]], | ||
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| [-1, 1, Conv, [1024, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 1], 1, Concat, [1]], | ||
| [-1, 3, C3, [1024, False]], | ||
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| [-1, 1, Conv, [1024, 3, 2]], | ||
| [[-1, 8], 1, Concat, [1]], | ||
| [-1, 3, C3, [2048, False]], | ||
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| [-1, 1, Conv, [2048, 3, 2]], | ||
| [[-1, 4], 1, Concat, [1]], # cat head P5 | ||
| [-1, 3, C3, [2048, False]], # 23 (P5/32-large) | ||
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| [[11, 14, 17], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | ||
| ] | ||
|
|
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| # YOLOAir 🚀 by 🥭, GPL-3.0 license | ||
|
|
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| # Parameters | ||
| nc: 80 # number of classes | ||
| depth_multiple: 0.33 # model depth multiple | ||
| width_multiple: 0.50 # layer channel multiple | ||
| anchors: | ||
| - [10,13, 16,30, 33,23] # P3/8 | ||
| - [30,61, 62,45, 59,119] # P4/16 | ||
| - [116,90, 156,198, 373,326] # P5/32 | ||
|
|
||
| # YOLO backbone | ||
| backbone: | ||
| [[-1, 1, HorNet, [128, 0, 3, [2, 3, 18, 2], 128]], | ||
| [-1, 1, HorNet, [256, 1, 3, [2, 3, 18, 2], 128]], | ||
| [-1, 1, HorNet, [512, 2, 3, [2, 3, 18, 2], 128]], | ||
| [-1, 1, HorNet, [1024, 3, 3, [2, 3, 18, 2], 128]], | ||
| ] | ||
|
|
||
| # YOLOv5 head | ||
| head: | ||
| [[-1, 1, Conv, [1024, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 2], 1, Concat, [1]], | ||
| [-1, 3, C3, [1024, False]], | ||
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| [-1, 1, Conv, [512, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 1], 1, Concat, [1]], | ||
| [-1, 3, C3, [512, False]], | ||
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| [-1, 1, Conv, [512, 3, 2]], | ||
| [[-1, 8], 1, Concat, [1]], | ||
| [-1, 3, C3, [1024, False]], | ||
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| [-1, 1, Conv, [1024, 3, 2]], | ||
| [[-1, 4], 1, Concat, [1]], # cat head P5 | ||
| [-1, 3, C3, [1024, False]], # 23 (P5/32-large) | ||
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| [[11, 14, 17], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | ||
| ] | ||
|
|
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| # YOLOAir 🚀 by 🥭, GPL-3.0 license | ||
|
|
||
| # Parameters | ||
| nc: 80 # number of classes | ||
| depth_multiple: 0.33 # model depth multiple | ||
| width_multiple: 0.50 # layer channel multiple | ||
| anchors: | ||
| - [10,13, 16,30, 33,23] # P3/8 | ||
| - [30,61, 62,45, 59,119] # P4/16 | ||
| - [116,90, 156,198, 373,326] # P5/32 | ||
|
|
||
| # YOLO backbone | ||
| backbone: | ||
| [[-1, 1, HorNet, [192, 0, 3, [2, 3, 18, 2], 192]], | ||
| [-1, 1, HorNet, [384, 1, 3, [2, 3, 18, 2], 192]], | ||
| [-1, 1, HorNet, [768, 2, 3, [2, 3, 18, 2], 192]], | ||
| [-1, 1, HorNet, [1536, 3, 3, [2, 3, 18, 2], 192]], | ||
| ] | ||
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| # YOLOv5 head | ||
| head: | ||
| [[-1, 1, Conv, [1536, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 2], 1, Concat, [1]], | ||
| [-1, 3, C3, [1536, False]], | ||
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| [-1, 1, Conv, [768, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 1], 1, Concat, [1]], | ||
| [-1, 3, C3, [768, False]], | ||
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| [-1, 1, Conv, [768, 3, 2]], | ||
| [[-1, 8], 1, Concat, [1]], | ||
| [-1, 3, C3, [1536, False]], | ||
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| [-1, 1, Conv, [1536, 3, 2]], | ||
| [[-1, 4], 1, Concat, [1]], # cat head P5 | ||
| [-1, 3, C3, [1536, False]], # 23 (P5/32-large) | ||
|
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| [[11, 14, 17], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | ||
| ] | ||
|
|
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| # YOLOAir 🚀 by 🥭, GPL-3.0 license | ||
|
|
||
| # Parameters | ||
| nc: 80 # number of classes | ||
| depth_multiple: 0.33 # model depth multiple | ||
| width_multiple: 0.50 # layer channel multiple | ||
| anchors: | ||
| - [10,13, 16,30, 33,23] # P3/8 | ||
| - [30,61, 62,45, 59,119] # P4/16 | ||
| - [116,90, 156,198, 373,326] # P5/32 | ||
|
|
||
| # YOLO backbone | ||
| # 96[96, 192, 384, 768] | ||
| backbone: | ||
| [[-1, 1, HorNet, [96, 0, 3, [2, 3, 18, 2], 96]], | ||
| [-1, 1, HorNet, [192, 1, 3, [2, 3, 18, 2], 96]], | ||
| [-1, 1, HorNet, [384, 2, 3, [2, 3, 18, 2], 96]], | ||
| [-1, 1, HorNet, [768, 3, 3, [2, 3, 18, 2], 96]], | ||
| ] | ||
|
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||
| # YOLOv5 head | ||
| head: | ||
| [[-1, 1, Conv, [768, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 2], 1, Concat, [1]], | ||
| [-1, 3, C3, [768, False]], | ||
|
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| [-1, 1, Conv, [384, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 1], 1, Concat, [1]], | ||
| [-1, 3, C3, [384, False]], | ||
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| [-1, 1, Conv, [384, 3, 2]], | ||
| [[-1, 8], 1, Concat, [1]], | ||
| [-1, 3, C3, [768, False]], | ||
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| [-1, 1, Conv, [768, 3, 2]], | ||
| [[-1, 4], 1, Concat, [1]], # cat head P5 | ||
| [-1, 3, C3, [768, False]], # 23 (P5/32-large) | ||
|
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| [[11, 14, 17], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | ||
| ] | ||
|
|
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| # YOLOAir 🚀 by 🥭, GPL-3.0 license | ||
|
|
||
| # Parameters | ||
| nc: 80 # number of classes | ||
| depth_multiple: 0.33 # model depth multiple | ||
| width_multiple: 0.50 # layer channel multiple | ||
| anchors: | ||
| - [10,13, 16,30, 33,23] # P3/8 | ||
| - [30,61, 62,45, 59,119] # P4/16 | ||
| - [116,90, 156,198, 373,326] # P5/32 | ||
|
|
||
| # YOLO backbone | ||
| backbone: | ||
| [[-1, 1, HorNet, [64, 0, 3, [2, 3, 18, 2], 64]], | ||
| [-1, 1, HorNet, [128, 1, 3, [2, 3, 18, 2], 64]], | ||
| [-1, 1, HorNet, [256, 2, 3, [2, 3, 18, 2], 64]], | ||
| [-1, 1, HorNet, [512, 3, 3, [2, 3, 18, 2], 64]], | ||
| ] | ||
|
|
||
| # YOLOv5 head | ||
| head: | ||
| [[-1, 1, Conv, [512, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 2], 1, Concat, [1]], | ||
| [-1, 3, C3, [512, False]], | ||
|
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||
| [-1, 1, Conv, [256, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 1], 1, Concat, [1]], | ||
| [-1, 3, C3, [256, False]], | ||
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| [-1, 1, Conv, [256, 3, 2]], | ||
| [[-1, 8], 1, Concat, [1]], | ||
| [-1, 3, C3, [512, False]], | ||
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| [-1, 1, Conv, [512, 3, 2]], | ||
| [[-1, 4], 1, Concat, [1]], # cat head P5 | ||
| [-1, 3, C3, [512, False]], # 23 (P5/32-large) | ||
|
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||
| [[11, 14, 17], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | ||
| ] | ||
|
|
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| Original file line number | Diff line number | Diff line change |
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| # YOLOAir 🚀 by 🥭, GPL-3.0 license | ||
|
|
||
| # Parameters | ||
| nc: 80 # number of classes | ||
| depth_multiple: 0.33 # model depth multiple | ||
| width_multiple: 0.50 # layer channel multiple | ||
| anchors: | ||
| - [10,13, 16,30, 33,23] # P3/8 | ||
| - [30,61, 62,45, 59,119] # P4/16 | ||
| - [116,90, 156,198, 373,326] # P5/32 | ||
|
|
||
| # YOLO backbone | ||
| # 96[96, 192, 384, 768] | ||
| backbone: | ||
| [[-1, 1, HorNet, [32, 0, 3, [2, 3, 18, 2], 32]], | ||
| [-1, 1, HorNet, [64, 1, 3, [2, 3, 18, 2], 32]], | ||
| [-1, 1, HorNet, [128, 2, 3, [2, 3, 18, 2], 32]], | ||
| [-1, 1, HorNet, [256, 3, 3, [2, 3, 18, 2], 32]], | ||
| ] | ||
|
|
||
| # YOLOv5 head | ||
| head: | ||
| [[-1, 1, Conv, [256, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 2], 1, Concat, [1]], | ||
| [-1, 3, C3, [256, False]], | ||
|
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||
| [-1, 1, Conv, [128, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 1], 1, Concat, [1]], | ||
| [-1, 3, C3, [128, False]], | ||
|
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| [-1, 1, Conv, [128, 3, 2]], | ||
| [[-1, 8], 1, Concat, [1]], | ||
| [-1, 3, C3, [256, False]], | ||
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| [-1, 1, Conv, [256, 3, 2]], | ||
| [[-1, 4], 1, Concat, [1]], # cat head P5 | ||
| [-1, 3, C3, [256, False]], # 23 (P5/32-large) | ||
|
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| [[11, 14, 17], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | ||
| ] | ||
|
|
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,42 @@ | ||
| # YOLOAir 🚀 by 🥭, GPL-3.0 license | ||
|
|
||
| # Parameters | ||
| nc: 80 # number of classes | ||
| depth_multiple: 0.33 # model depth multiple | ||
| width_multiple: 0.50 # layer channel multiple | ||
| anchors: | ||
| - [10,13, 16,30, 33,23] # P3/8 | ||
| - [30,61, 62,45, 59,119] # P4/16 | ||
| - [116,90, 156,198, 373,326] # P5/32 | ||
|
|
||
| # YOLO backbone | ||
| backbone: | ||
| [[-1, 1, HorNet, [16, 0, 3, [2, 3, 18, 2], 16]], | ||
| [-1, 1, HorNet, [32, 1, 3, [2, 3, 18, 2], 16]], | ||
| [-1, 1, HorNet, [64, 2, 3, [2, 3, 18, 2], 16]], | ||
| [-1, 1, HorNet, [128, 3, 3, [2, 3, 18, 2], 16]], | ||
| ] | ||
|
|
||
| # YOLOv5 head | ||
| head: | ||
| [[-1, 1, Conv, [128, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 2], 1, Concat, [1]], | ||
| [-1, 3, C3, [128, False]], | ||
|
|
||
| [-1, 1, Conv, [64, 1, 1]], | ||
| [-1, 1, nn.Upsample, [None, 2, 'nearest']], | ||
| [[-1, 1], 1, Concat, [1]], | ||
| [-1, 3, C3, [64, False]], | ||
|
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| [-1, 1, Conv, [64, 3, 2]], | ||
| [[-1, 8], 1, Concat, [1]], | ||
| [-1, 3, C3, [128, False]], | ||
|
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| [-1, 1, Conv, [128, 3, 2]], | ||
| [[-1, 4], 1, Concat, [1]], # cat head P5 | ||
| [-1, 3, C3, [128, False]], # 23 (P5/32-large) | ||
|
|
||
| [[11, 14, 17], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | ||
| ] | ||
|
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