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[Enhance] Update rtmdet config and readme. #9603

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Jan 12, 2023
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[Enhance] Update rtmdet config and readme. #9603

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[Enhance] Update rtmdet config and readme.
RangiLyu Jan 10, 2023
6303115
update readme
RangiLyu Jan 12, 2023
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245 changes: 242 additions & 3 deletions configs/rtmdet/README.md
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11 changes: 7 additions & 4 deletions ...tmdet/cspnext_imagenet_pretrain/README.md → configs/rtmdet/classification/README.md
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Expand Up @@ -47,7 +47,10 @@ More details can be found in [user guides](https://mmdetection.readthedocs.io/en

## Results and Models

| Model | resolution | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Download |
| :----------: | :--------: | :-------: | :------: | :-------: | :-------: | :-----------------------------------------------------------------------------------------------------------------: |
| CSPNeXt-tiny | 224x224 | 2.73 | 0.339 | 69.44 | 89.45 | [model](https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnext_rsb_pretrain/cspnext-tiny_imagenet_600e.pth) |
| CSPNeXt-s | 224x224 | 4.89 | 0.664 | 74.41 | 92.23 | [model](https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnext_rsb_pretrain/cspnext-s_imagenet_600e.pth) |
| Model | resolution | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Download |
| :----------: | :--------: | :-------: | :------: | :-------: | :-------: | :---------------------------------------------------------------------------------------------------------------------------------: |
| CSPNeXt-tiny | 224x224 | 2.73 | 0.34 | 69.44 | 89.45 | [model](https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnext_rsb_pretrain/cspnext-tiny_imagenet_600e-3a2dd350.pth) |
| CSPNeXt-s | 224x224 | 4.89 | 0.66 | 74.41 | 92.23 | [model](https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnext_rsb_pretrain/cspnext-s_imagenet_600e-ea671761.pth) |
| CSPNeXt-m | 224x224 | 13.05 | 1.93 | 79.27 | 94.79 | [model](https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnext_rsb_pretrain/cspnext-m_8xb256-rsb-a1-600e_in1k-ecb3bbd9.pth) |
| CSPNeXt-l | 224x224 | 27.16 | 4.19 | 81.30 | 95.62 | [model](https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnext_rsb_pretrain/cspnext-l_8xb256-rsb-a1-600e_in1k-6a760974.pth) |
| CSPNeXt-x | 224x224 | 48.85 | 7.76 | 82.10 | 95.69 | [model](https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnext_rsb_pretrain/cspnext-x_8xb256-rsb-a1-600e_in1k-b3f78edd.pth) |
5 changes: 5 additions & 0 deletions configs/rtmdet/classification/cspnext-l_8xb256-rsb-a1-600e_in1k.py
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_base_ = './cspnext-s_8xb256-rsb-a1-600e_in1k.py'

model = dict(
backbone=dict(deepen_factor=1, widen_factor=1),
head=dict(in_channels=1024))
5 changes: 5 additions & 0 deletions configs/rtmdet/classification/cspnext-m_8xb256-rsb-a1-600e_in1k.py
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_base_ = './cspnext-s_8xb256-rsb-a1-600e_in1k.py'

model = dict(
backbone=dict(deepen_factor=0.67, widen_factor=0.75),
head=dict(in_channels=768))
4 changes: 2 additions & 2 deletions ...rain/cspnext-s_8xb256-rsb-a1-600e_in1k.py → ...tion/cspnext-s_8xb256-rsb-a1-600e_in1k.py
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Expand Up @@ -30,8 +30,8 @@
loss_weight=1.0),
topk=(1, 5)),
train_cfg=dict(augments=[
dict(type='Mixup', alpha=0.2, num_classes=1000),
dict(type='CutMix', alpha=1.0, num_classes=1000)
dict(type='Mixup', alpha=0.2),
dict(type='CutMix', alpha=1.0)
]))

# dataset settings
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0 ...n/cspnext-tiny_8xb256-rsb-a1-600e_in1k.py → ...n/cspnext-tiny_8xb256-rsb-a1-600e_in1k.py
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5 changes: 5 additions & 0 deletions configs/rtmdet/classification/cspnext-x_8xb256-rsb-a1-600e_in1k.py
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_base_ = './cspnext-s_8xb256-rsb-a1-600e_in1k.py'

model = dict(
backbone=dict(deepen_factor=1.33, widen_factor=1.25),
head=dict(in_channels=1280))