diff --git a/ultralytics/cfg/models/v8/yolov8-pose-p6.yaml b/ultralytics/cfg/models/v8/yolov8-pose-p6.yaml index 06381fb196..abf0cfcf96 100644 --- a/ultralytics/cfg/models/v8/yolov8-pose-p6.yaml +++ b/ultralytics/cfg/models/v8/yolov8-pose-p6.yaml @@ -1,5 +1,5 @@ # Ultralytics YOLO 🚀, AGPL-3.0 license -# YOLOv8-pose keypoints/pose estimation model. For Usage examples see https://docs.ultralytics.com/tasks/pose +# YOLOv8-pose-p6 keypoints/pose estimation model. For Usage examples see https://docs.ultralytics.com/tasks/pose # Parameters nc: 1 # number of classes diff --git a/ultralytics/cfg/models/v8/yolov8-seg-p6.yaml b/ultralytics/cfg/models/v8/yolov8-seg-p6.yaml new file mode 100644 index 0000000000..5ac093620f --- /dev/null +++ b/ultralytics/cfg/models/v8/yolov8-seg-p6.yaml @@ -0,0 +1,56 @@ +# Ultralytics YOLO 🚀, AGPL-3.0 license +# YOLOv8-seg-p6 instance segmentation model. For Usage examples see https://docs.ultralytics.com/tasks/segment + +# Parameters +nc: 80 # number of classes +scales: # model compound scaling constants, i.e. 'model=yolov8n-seg-p6.yaml' will call yolov8-seg-p6.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] + +# YOLOv8.0x6 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, 3, C2f, [128, True]] + - [-1, 1, Conv, [256, 3, 2]] # 3-P3/8 + - [-1, 6, C2f, [256, True]] + - [-1, 1, Conv, [512, 3, 2]] # 5-P4/16 + - [-1, 6, C2f, [512, True]] + - [-1, 1, Conv, [768, 3, 2]] # 7-P5/32 + - [-1, 3, C2f, [768, True]] + - [-1, 1, Conv, [1024, 3, 2]] # 9-P6/64 + - [-1, 3, C2f, [1024, True]] + - [-1, 1, SPPF, [1024, 5]] # 11 + +# YOLOv8.0x6 head +head: + - [-1, 1, nn.Upsample, [None, 2, 'nearest']] + - [[-1, 8], 1, Concat, [1]] # cat backbone P5 + - [-1, 3, C2, [768, False]] # 14 + + - [-1, 1, nn.Upsample, [None, 2, 'nearest']] + - [[-1, 6], 1, Concat, [1]] # cat backbone P4 + - [-1, 3, C2, [512, False]] # 17 + + - [-1, 1, nn.Upsample, [None, 2, 'nearest']] + - [[-1, 4], 1, Concat, [1]] # cat backbone P3 + - [-1, 3, C2, [256, False]] # 20 (P3/8-small) + + - [-1, 1, Conv, [256, 3, 2]] + - [[-1, 17], 1, Concat, [1]] # cat head P4 + - [-1, 3, C2, [512, False]] # 23 (P4/16-medium) + + - [-1, 1, Conv, [512, 3, 2]] + - [[-1, 14], 1, Concat, [1]] # cat head P5 + - [-1, 3, C2, [768, False]] # 26 (P5/32-large) + + - [-1, 1, Conv, [768, 3, 2]] + - [[-1, 11], 1, Concat, [1]] # cat head P6 + - [-1, 3, C2, [1024, False]] # 29 (P6/64-xlarge) + + - [[20, 23, 26, 29], 1, Segment, [nc, 32, 256]] # Pose(P3, P4, P5, P6)