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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# RT-DETR-x object detection model with P3-P5 outputs. For details see https://docs.ultralytics.com/models/rtdetr
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# Parameters
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nc: 80 # number of classes
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scales: # model compound scaling constants, i.e. 'model=yolov8n-cls.yaml' will call yolov8-cls.yaml with scale 'n'
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# [depth, width, max_channels]
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x: [1.00, 1.00, 2048]
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backbone:
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# [from, repeats, module, args]
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- [-1, 1, HGStem, [32, 64]] # 0-P2/4
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- [-1, 6, HGBlock, [64, 128, 3]] # stage 1
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- [-1, 1, DWConv, [128, 3, 2, 1, False]] # 2-P3/8
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- [-1, 6, HGBlock, [128, 512, 3]]
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- [-1, 6, HGBlock, [128, 512, 3, False, True]] # 4-stage 2
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- [-1, 1, DWConv, [512, 3, 2, 1, False]] # 5-P3/16
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- [-1, 6, HGBlock, [256, 1024, 5, True, False]] # cm, c2, k, light, shortcut
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- [-1, 6, HGBlock, [256, 1024, 5, True, True]]
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- [-1, 6, HGBlock, [256, 1024, 5, True, True]]
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- [-1, 6, HGBlock, [256, 1024, 5, True, True]]
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- [-1, 6, HGBlock, [256, 1024, 5, True, True]] # 10-stage 3
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- [-1, 1, DWConv, [1024, 3, 2, 1, False]] # 11-P4/32
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- [-1, 6, HGBlock, [512, 2048, 5, True, False]]
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- [-1, 6, HGBlock, [512, 2048, 5, True, True]] # 13-stage 4
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head:
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- [-1, 1, Conv, [384, 1, 1, None, 1, 1, False]] # 14 input_proj.2
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- [-1, 1, AIFI, [2048, 8]]
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- [-1, 1, Conv, [384, 1, 1]] # 16, Y5, lateral_convs.0
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- [-1, 1, nn.Upsample, [None, 2, 'nearest']]
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- [10, 1, Conv, [384, 1, 1, None, 1, 1, False]] # 18 input_proj.1
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- [[-2, -1], 1, Concat, [1]]
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- [-1, 3, RepC3, [384]] # 20, fpn_blocks.0
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- [-1, 1, Conv, [384, 1, 1]] # 21, Y4, lateral_convs.1
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- [-1, 1, nn.Upsample, [None, 2, 'nearest']]
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- [4, 1, Conv, [384, 1, 1, None, 1, 1, False]] # 23 input_proj.0
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- [[-2, -1], 1, Concat, [1]] # cat backbone P4
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- [-1, 3, RepC3, [384]] # X3 (25), fpn_blocks.1
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- [-1, 1, Conv, [384, 3, 2]] # 26, downsample_convs.0
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- [[-1, 21], 1, Concat, [1]] # cat Y4
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- [-1, 3, RepC3, [384]] # F4 (28), pan_blocks.0
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- [-1, 1, Conv, [384, 3, 2]] # 29, downsample_convs.1
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- [[-1, 16], 1, Concat, [1]] # cat Y5
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- [-1, 3, RepC3, [384]] # F5 (31), pan_blocks.1
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- [[25, 28, 31], 1, RTDETRDecoder, [nc]] # Detect(P3, P4, P5)
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