exp-a
Laughing-q 8 months ago
parent 0edadf53f3
commit db4f23e07b
  1. 46
      ultralytics/cfg/models/exp/yolov8-c3k3-2222-0.25.yaml
  2. 2
      ultralytics/nn/modules/__init__.py
  3. 9
      ultralytics/nn/modules/block.py
  4. 4
      ultralytics/nn/tasks.py

@ -0,0 +1,46 @@
# 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, 2, C3k3, [256, True, 1, 0.25]]
- [-1, 1, ADown, [256]] # 3-P3/8
- [-1, 2, C3k3, [512, True, 1, 0.25]]
- [-1, 1, ADown, [512]] # 5-P4/16
- [-1, 2, C3k3, [512, True]]
- [-1, 1, ADown, [512]] # 7-P5/32
- [-1, 2, C3k3, [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, 2, C3k3, [512]] # 12
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
- [[-1, 4], 1, Concat, [1]] # cat backbone P3
- [-1, 2, C3k3, [256]] # 15 (P3/8-small)
- [-1, 1, ADown, [256]]
- [[-1, 12], 1, Concat, [1]] # cat head P4
- [-1, 2, C3k3, [512]] # 18 (P4/16-medium)
- [-1, 1, ADown, [512]]
- [[-1, 9], 1, Concat, [1]] # cat head P5
- [-1, 2, C3k3, [1024]] # 21 (P5/32-large)
- [[15, 18, 21], 1, Detect, [nc]] # Detect(P3, P4, P5)

@ -48,6 +48,7 @@ from .block import (
Silence,
C2f2,
C3k2,
C3k3,
)
from .conv import (
CBAM,
@ -107,6 +108,7 @@ __all__ = (
"C2f",
"C2f2",
"C3k2",
"C3k3",
"C2fAttn",
"C3x",
"C3TR",

@ -39,6 +39,7 @@ __all__ = (
"Silence",
"C2f2",
"C3k2",
"C3k3",
)
@ -273,6 +274,14 @@ class C3k2(C2f2):
self.m = nn.ModuleList(C3k(self.c, self.c, 2, shortcut, g) for _ in range(n))
class C3k3(C2f2):
"""Faster Implementation of CSP Bottleneck with 2 convolutions."""
def __init__(self, c1, c2, n=1, shortcut=False, g=1, e=0.5):
super().__init__(c1, c2, n, shortcut, g, e)
self.m = nn.ModuleList(C3k(self.c, self.c, 3, shortcut, g) for _ in range(n))
class C3(nn.Module):
"""CSP Bottleneck with 3 convolutions."""

@ -21,6 +21,7 @@ from ultralytics.nn.modules import (
C2f,
C2f2,
C3k2,
C3k3,
C2fAttn,
ImagePoolingAttn,
C3Ghost,
@ -862,6 +863,7 @@ def parse_model(d, ch, verbose=True): # model_dict, input_channels(3)
C2f,
C2f2,
C3k2,
C3k3,
RepNCSPELAN4,
ADown,
SPPELAN,
@ -884,7 +886,7 @@ def parse_model(d, ch, verbose=True): # model_dict, input_channels(3)
) # num heads
args = [c1, c2, *args[1:]]
if m in (BottleneckCSP, C1, C2, C2f, C2f2, C3k2, C2fAttn, C3, C3TR, C3Ghost, C3x, RepC3):
if m in (BottleneckCSP, C1, C2, C2f, C2f2, C3k2, C3k3, C2fAttn, C3, C3TR, C3Ghost, C3x, RepC3):
args.insert(2, n) # number of repeats
n = 1
elif m is AIFI:

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