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YOLOv5 model architecture overview #4518

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dariogonle opened this issue Aug 23, 2021 · 5 comments
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YOLOv5 model architecture overview #4518

dariogonle opened this issue Aug 23, 2021 · 5 comments
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question Further information is requested Stale Stale and schedule for closing soon

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@dariogonle
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❔Question

Is this architecture overview, mentionated in #280, still valid?

image

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@dariogonle dariogonle added the question Further information is requested label Aug 23, 2021
@glenn-jocher
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glenn-jocher commented Aug 23, 2021

@dariogonle we've made visualizing YOLOv5 🚀 architectures super easy. There are two main ways:

model.yaml

Each model has a corresponding yaml file that displays the model architecture. Here is YOLOv5s, defined by yolov5s.yaml:

# YOLOv5 backbone
backbone:
# [from, number, module, args]
[[-1, 1, Focus, [64, 3]], # 0-P1/2
[-1, 1, Conv, [128, 3, 2]], # 1-P2/4
[-1, 3, C3, [128]],
[-1, 1, Conv, [256, 3, 2]], # 3-P3/8
[-1, 9, C3, [256]],
[-1, 1, Conv, [512, 3, 2]], # 5-P4/16
[-1, 9, C3, [512]],
[-1, 1, Conv, [1024, 3, 2]], # 7-P5/32
[-1, 1, SPP, [1024, [5, 9, 13]]],
[-1, 3, C3, [1024, False]], # 9
]
# YOLOv5 head
head:
[[-1, 1, Conv, [512, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 6], 1, Concat, [1]], # cat backbone P4
[-1, 3, C3, [512, False]], # 13
[-1, 1, Conv, [256, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 4], 1, Concat, [1]], # cat backbone P3
[-1, 3, C3, [256, False]], # 17 (P3/8-small)
[-1, 1, Conv, [256, 3, 2]],
[[-1, 14], 1, Concat, [1]], # cat head P4
[-1, 3, C3, [512, False]], # 20 (P4/16-medium)
[-1, 1, Conv, [512, 3, 2]],
[[-1, 10], 1, Concat, [1]], # cat head P5
[-1, 3, C3, [1024, False]], # 23 (P5/32-large)
[[17, 20, 23], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
]

TensorBoard Graph

Simply start training a model, and then view the TensorBoard Graph for an interactive view of the model architecture. This example shows YOLOv5s viewed in our NotebookOpen In Colab Open In Kaggle

# Tensorboard
%load_ext tensorboard
%tensorboard --logdir runs/train

# Train YOLOv5s on COCO128 for 3 epochs
python train.py --weights yolov5s.pt --epochs 3

Screenshot 2021-04-11 at 01 10 09

@ppogg
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ppogg commented Aug 31, 2021

That‘s cool. I like it!

@ehdrndd
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ehdrndd commented Sep 1, 2021

i draw it easy to see
image

@Layusmen
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Layusmen commented Sep 7, 2021

i draw it easy to see
image

how did you achieve this please?

@github-actions
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github-actions bot commented Oct 8, 2021

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

Access additional YOLOv5 🚀 resources:

Access additional Ultralytics ⚡ resources:

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!

@github-actions github-actions bot added the Stale Stale and schedule for closing soon label Oct 8, 2021
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