yolov8添加/删除模块报错Expected to have finished reduction in the prior iteration before starting a new one

原创

已于 2024-04-11 21:09:17 修改 · 644 阅读

0 ·

CC 4.0 BY-SA版权

文章标签：

#YOLO

于 2024-04-11 21:06:33 首次发布

出现此问题大多数是因为yolo的配置文件问题，如果你添加了或删除了部分结构，例如重复了两次c2f结构，这个时候相当于网络层数发生了变化，一定要注意将受到影响的模块相应的层数+1或-1，例如：

# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLOv8 object detection model with P3-P5 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect

# 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 gradi