Update YOLOv9 YAMLs (#13756)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
pull/13759/head
Glenn Jocher 5 months ago committed by GitHub
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  1. 6
      ultralytics/cfg/models/v9/yolov9c-seg.yaml
  2. 6
      ultralytics/cfg/models/v9/yolov9c.yaml
  3. 8
      ultralytics/cfg/models/v9/yolov9e-seg.yaml
  4. 8
      ultralytics/cfg/models/v9/yolov9e.yaml
  5. 6
      ultralytics/cfg/models/v9/yolov9m.yaml
  6. 6
      ultralytics/cfg/models/v9/yolov9s.yaml
  7. 6
      ultralytics/cfg/models/v9/yolov9t.yaml

@ -1,11 +1,11 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLOv9c-seg
# YOLOv9c-seg instance segmentation model. For Usage examples see https://docs.ultralytics.com/models/yolov9
# 654 layers, 27897120 parameters, 159.4 GFLOPs
# parameters
# Parameters
nc: 80 # number of classes
# gelan backbone
# GELAN backbone
backbone:
- [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
- [-1, 1, Conv, [128, 3, 2]] # 1-P2/4

@ -1,11 +1,11 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLOv9c
# YOLOv9c object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
# 618 layers, 25590912 parameters, 104.0 GFLOPs
# parameters
# Parameters
nc: 80 # number of classes
# gelan backbone
# GELAN backbone
backbone:
- [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
- [-1, 1, Conv, [128, 3, 2]] # 1-P2/4

@ -1,11 +1,11 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLOv9c-seg
# YOLOv9e-seg instance segmentation model. For Usage examples see https://docs.ultralytics.com/models/yolov9
# 1261 layers, 60512800 parameters, 248.4 GFLOPs
# parameters
# Parameters
nc: 80 # number of classes
# gelan backbone
# GELAN backbone
backbone:
- [-1, 1, nn.Identity, []]
- [-1, 1, Conv, [64, 3, 2]] # 1-P1/2
@ -40,7 +40,7 @@ backbone:
- [-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]] # 28
- [-1, 1, SPPELAN, [512, 256]] # 29
# gelan head
# GELAN head
head:
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 25], 1, Concat, [1]] # cat backbone P4

@ -1,11 +1,11 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLOv9e
# YOLOv9e object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
# 1225 layers, 58206592 parameters, 193.0 GFLOPs
# parameters
# Parameters
nc: 80 # number of classes
# gelan backbone
# GELAN backbone
backbone:
- [-1, 1, nn.Identity, []]
- [-1, 1, Conv, [64, 3, 2]] # 1-P1/2
@ -40,7 +40,7 @@ backbone:
- [-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]] # 28
- [-1, 1, SPPELAN, [512, 256]] # 29
# gelan head
# GELAN head
head:
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 25], 1, Concat, [1]] # cat backbone P4

@ -1,11 +1,11 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLOv9t
# YOLOv9m object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
# 603 layers, 20216160 parameters, 77.9 GFLOPs
# parameters
# Parameters
nc: 80 # number of classes
# gelan backbone
# GELAN backbone
backbone:
- [-1, 1, Conv, [32, 3, 2]] # 0-P1/2
- [-1, 1, Conv, [64, 3, 2]] # 1-P2/4

@ -1,11 +1,11 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLOv9s
# YOLOv9s object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
# 917 layers, 7318368 parameters, 27.6 GFLOPs
# parameters
# Parameters
nc: 80 # number of classes
# gelan backbone
# GELAN backbone
backbone:
- [-1, 1, Conv, [32, 3, 2]] # 0-P1/2
- [-1, 1, Conv, [64, 3, 2]] # 1-P2/4

@ -1,11 +1,11 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLOv9t
# YOLOv9t object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
# 917 layers, 2128720 parameters, 8.5 GFLOPs
# parameters
# Parameters
nc: 80 # number of classes
# gelan backbone
# GELAN backbone
backbone:
- [-1, 1, Conv, [16, 3, 2]] # 0-P1/2
- [-1, 1, Conv, [32, 3, 2]] # 1-P2/4

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