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Add Conv2() module (#2820)

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Glenn Jocher
2023-05-25 18:12:50 +02:00
committed by GitHub
parent d19c5b6ce8
commit 441e67d330
13 changed files with 92 additions and 45 deletions
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ultralytics/models/v6/yolov6.yaml
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@ -1,51 +1,53 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLOv6 object detection model with P3-P5 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect
# YOLOv6 object detection model with P3-P5 outputs. For Usage examples see https://docs.ultralytics.com/models/yolov6
# Parameters
act: nn.ReLU()
nc: 80 # number of classes
scales: # model compound scaling constants, i.e. 'model=yolov6n.yaml' will call yolov8.yaml with scale 'n'
# [depth, width, max_channels]
n: [ 0.33, 0.25, 1024 ]
s: [ 0.33, 0.50, 1024 ]
m: [ 0.67, 0.75, 768 ]
l: [ 1.00, 1.00, 512 ]
x: [ 1.00, 1.25, 512 ]
n: [0.33, 0.25, 1024]
s: [0.33, 0.50, 1024]
m: [0.67, 0.75, 768]
l: [1.00, 1.00, 512]
x: [1.00, 1.25, 512]
# YOLOv6-3.0s backbone
backbone:
# [from, repeats, module, args]
- [ -1, 1, Conv, [ 64, 3, 2 ] ] # 0-P1/2
- [ -1, 1, Conv, [ 128, 3, 2 ] ] # 1-P2/4
- [ -1, 6, Conv, [ 128, 3, 1 ] ]
- [ -1, 1, Conv, [ 256, 3, 2 ] ] # 3-P3/8
- [ -1, 12, Conv, [ 256, 3, 1 ] ]
- [ -1, 1, Conv, [ 512, 3, 2 ] ] # 5-P4/16
- [ -1, 18, Conv, [ 512, 3, 1 ] ]
- [ -1, 1, Conv, [ 1024, 3, 2 ] ] # 7-P5/32
- [ -1, 9, Conv, [ 1024, 3, 1 ] ]
- [ -1, 1, SPPF, [ 1024, 5 ] ] # 9
- [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
- [-1, 1, Conv, [128, 3, 2]] # 1-P2/4
- [-1, 6, Conv, [128, 3, 1]]
- [-1, 1, Conv, [256, 3, 2]] # 3-P3/8
- [-1, 12, Conv, [256, 3, 1]]
- [-1, 1, Conv, [512, 3, 2]] # 5-P4/16
- [-1, 18, Conv, [512, 3, 1]]
- [-1, 1, Conv, [1024, 3, 2]] # 7-P5/32
- [-1, 6, Conv, [1024, 3, 1]]
- [-1, 1, SPPF, [1024, 5]] # 9
# YOLOv6-3.0s head
head:
- [ -1, 1, nn.ConvTranspose2d, [ 256, 2, 2, 0 ] ]
- [ [ -1, 6 ], 1, Concat, [ 1 ] ] # cat backbone P4
- [ -1, 1, Conv, [ 256, 3, 1 ] ]
- [ -1, 9, Conv, [ 256, 3, 1 ] ] # 13
- [-1, 1, Conv, [256, 1, 1]]
- [-1, 1, nn.ConvTranspose2d, [256, 2, 2, 0]]
- [[-1, 6], 1, Concat, [1]] # cat backbone P4
- [-1, 1, Conv, [256, 3, 1]]
- [-1, 9, Conv, [256, 3, 1]] # 14
- [ -1, 1, nn.ConvTranspose2d, [ 128, 2, 2, 0 ] ]
- [ [ -1, 4 ], 1, Concat, [ 1 ] ] # cat backbone P3
- [ -1, 1, Conv, [ 128, 3, 1 ] ]
- [ -1, 9, Conv, [ 128, 3, 1 ] ] # 17
- [-1, 1, Conv, [128, 1, 1]]
- [-1, 1, nn.ConvTranspose2d, [128, 2, 2, 0]]
- [[-1, 4], 1, Concat, [1]] # cat backbone P3
- [-1, 1, Conv, [128, 3, 1]]
- [-1, 9, Conv, [128, 3, 1]] # 19
- [ -1, 1, Conv, [ 128, 3, 2 ] ]
- [ [ -1, 12 ], 1, Concat, [ 1 ] ] # cat head P4
- [ -1, 1, Conv, [ 256, 3, 1 ] ]
- [ -1, 9, Conv, [ 256, 3, 1 ] ] # 21
- [-1, 1, Conv, [128, 3, 2]]
- [[-1, 15], 1, Concat, [1]] # cat head P4
- [-1, 1, Conv, [256, 3, 1]]
- [-1, 9, Conv, [256, 3, 1]] # 23
- [ -1, 1, Conv, [ 256, 3, 2 ] ]
- [ [ -1, 9 ], 1, Concat, [ 1 ] ] # cat head P5
- [ -1, 1, Conv, [ 512, 3, 1 ] ]
- [ -1, 9, Conv, [ 512, 3, 1 ] ] # 25
- [-1, 1, Conv, [256, 3, 2]]
- [[-1, 10], 1, Concat, [1]] # cat head P5
- [-1, 1, Conv, [512, 3, 1]]
- [-1, 9, Conv, [512, 3, 1]] # 27
- [ [ 17, 21, 25 ], 1, Detect, [ nc ] ] # Detect(P3, P4, P5)
- [[19, 23, 27], 1, Detect, [nc]] # Detect(P3, P4, P5)