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ultralytics/cfg/models/config/improve/yolov8_RetinexFormer.yaml
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# Ultralytics YOLO 🚀, AGPL-3.0 license | ||
# YOLOv8 object detection model with P3-P5 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect | ||
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# Parameters | ||
nc: 80 # number of classes | ||
scales: # model compound scaling constants, i.e. 'model=yolov8n.yaml' will call yolov8.yaml with scale 'n' | ||
# [depth, width, max_channels] | ||
n: [0.33, 0.25, 1024] # YOLOv8n summary: 225 layers, 3157200 parameters, 3157184 gradients, 8.9 GFLOPs | ||
s: [0.33, 0.50, 1024] # YOLOv8s summary: 225 layers, 11166560 parameters, 11166544 gradients, 28.8 GFLOPs | ||
m: [0.67, 0.75, 768] # YOLOv8m summary: 295 layers, 25902640 parameters, 25902624 gradients, 79.3 GFLOPs | ||
l: [1.00, 1.00, 512] # YOLOv8l summary: 365 layers, 43691520 parameters, 43691504 gradients, 165.7 GFLOPs | ||
x: [1.00, 1.25, 512] # YOLOv8x summary: 365 layers, 68229648 parameters, 68229632 gradients, 258.5 GFLOPs | ||
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# YOLOv8.0n backbone | ||
backbone: | ||
# [from, repeats, module, args] | ||
- [-1, 1, RetinexFormer, []] # 0-P1/2 | ||
- [-1, 1, Conv, [64, 3, 2]] # 1-P1/2 | ||
- [-1, 1, Conv, [128, 3, 2]] # 2-P2/4 | ||
- [-1, 3, C2f, [128, True]] | ||
- [-1, 1, Conv, [256, 3, 2]] # 4-P3/8 | ||
- [-1, 6, C2f, [256, True]] | ||
- [-1, 1, Conv, [512, 3, 2]] # 6-P4/16 | ||
- [-1, 6, C2f, [512, True]] | ||
- [-1, 1, Conv, [1024, 3, 2]] # 8-P5/32 | ||
- [-1, 3, C2f, [1024, True]] | ||
- [-1, 1, SPPF, [1024, 5]] # 10 | ||
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# YOLOv8.0n head | ||
head: | ||
- [-1, 1, nn.Upsample, [None, 2, 'nearest']] | ||
- [[-1, 7], 1, Concat, [1]] # cat backbone P4 | ||
- [-1, 3, C2f, [512]] # 13 | ||
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- [-1, 1, nn.Upsample, [None, 2, 'nearest']] | ||
- [[-1, 5], 1, Concat, [1]] # cat backbone P3 | ||
- [-1, 3, C2f, [256]] # 16 (P3/8-small) | ||
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- [-1, 1, Conv, [256, 3, 2]] | ||
- [[-1, 13], 1, Concat, [1]] # cat head P4 | ||
- [-1, 3, C2f, [512]] # 19 (P4/16-medium) | ||
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- [-1, 1, Conv, [512, 3, 2]] | ||
- [[-1, 10], 1, Concat, [1]] # cat head P5 | ||
- [-1, 3, C2f, [1024]] # 22 (P5/32-large) | ||
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- [[16, 19, 22], 1, Detect, [nc]] # Detect(P3, P4, P5) |
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from ultralytics.nn.models.fighting_model.block.Retinexformer import RetinexFormer | ||
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""" | ||
Args:c1,c2 | ||
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