From 0df51408ff9fdc7b90cb8f4012e4401a44683ce6 Mon Sep 17 00:00:00 2001
From: Laughing-q <1185102784@qq.com>
Date: Thu, 29 Feb 2024 14:52:51 +0800
Subject: [PATCH] remove yolov8-c

---
 ultralytics/cfg/models/v9/yolov8-c.yaml | 46 -------------------------
 1 file changed, 46 deletions(-)
 delete mode 100644 ultralytics/cfg/models/v9/yolov8-c.yaml

diff --git a/ultralytics/cfg/models/v9/yolov8-c.yaml b/ultralytics/cfg/models/v9/yolov8-c.yaml
deleted file mode 100644
index f5fdc26847..0000000000
--- a/ultralytics/cfg/models/v9/yolov8-c.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-# 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 gradients, 258.5 GFLOPs
-
-# YOLOv8.0n 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, ADown, [256]] # 3-P3/8
-  - [-1, 6, C2f, [256, True]]
-  - [-1, 1, Conv, [512, 3, 2]] # 5-P4/16
-  - [-1, 6, C2f, [512, True]]
-  - [-1, 1, ADown, [1024]] # 7-P5/32
-  - [-1, 3, C2f, [1024, True]]
-  - [-1, 1, SPPF, [1024, 5]] # 9
-
-# YOLOv8.0n head
-head:
-  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
-  - [[-1, 6], 1, Concat, [1]] # cat backbone P4
-  - [-1, 3, C2f, [512]] # 12
-
-  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
-  - [[-1, 4], 1, Concat, [1]] # cat backbone P3
-  - [-1, 3, C2f, [256]] # 15 (P3/8-small)
-
-  - [-1, 1, ADown, [256]]
-  - [[-1, 12], 1, Concat, [1]] # cat head P4
-  - [-1, 3, C2f, [512]] # 18 (P4/16-medium)
-
-  - [-1, 1, ADown, [512]]
-  - [[-1, 9], 1, Concat, [1]] # cat head P5
-  - [-1, 3, C2f, [1024]] # 21 (P5/32-large)
-
-  - [[15, 18, 21], 1, Detect, [nc]] # Detect(P3, P4, P5)