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fix param size of resnet34

pull/1930/head
wangruohui 2024-08-20 15:23:35 +08:00
parent 17a886cb58
commit ed673994d8
2 changed files with 2 additions and 2 deletions
configs/resnet

2
configs/resnet/README.md
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@ -90,7 +90,7 @@ python tools/test.py configs/resnet/resnet18_8xb16_cifar10.py https://download.o
| Model | Pretrain | Params (M) | Flops (G) | Top-1 (%) | Top-5 (%) | Config | Download |
| :--------------------------------- | :----------: | :--------: | :-------: | :-------: | :-------: | :-------------------------------------------: | :----------------------------------------------------------------------: |
| `resnet18_8xb32_in1k` | From scratch | 11.69 | 1.82 | 69.90 | 89.43 | [config](resnet18_8xb32_in1k.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_8xb32_in1k_20210831-fbbb1da6.pth) \| [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_8xb32_in1k_20210831-fbbb1da6.json) |
| `resnet34_8xb32_in1k` | From scratch | 2.18 | 3.68 | 73.62 | 91.59 | [config](resnet34_8xb32_in1k.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_8xb32_in1k_20210831-f257d4e6.pth) \| [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_8xb32_in1k_20210831-f257d4e6.json) |
| `resnet34_8xb32_in1k` | From scratch | 21.80 | 3.68 | 73.62 | 91.59 | [config](resnet34_8xb32_in1k.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_8xb32_in1k_20210831-f257d4e6.pth) \| [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_8xb32_in1k_20210831-f257d4e6.json) |
| `resnet50_8xb32_in1k` | From scratch | 25.56 | 4.12 | 76.55 | 93.06 | [config](resnet50_8xb32_in1k.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb32_in1k_20210831-ea4938fc.pth) \| [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb32_in1k_20210831-ea4938fc.json) |
| `resnet101_8xb32_in1k` | From scratch | 44.55 | 7.85 | 77.97 | 94.06 | [config](resnet101_8xb32_in1k.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet101_8xb32_in1k_20210831-539c63f8.pth) \| [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet101_8xb32_in1k_20210831-539c63f8.json) |
| `resnet152_8xb32_in1k` | From scratch | 60.19 | 11.58 | 78.48 | 94.13 | [config](resnet152_8xb32_in1k.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet152_8xb32_in1k_20210901-4d7582fa.pth) \| [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet152_8xb32_in1k_20210901-4d7582fa.json) |

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configs/resnet/metafile.yml
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@ -126,7 +126,7 @@ Models:
- Name: resnet34_8xb32_in1k
Metadata:
FLOPs: 3680000000
Parameters: 2180000
Parameters: 21800000
In Collection: ResNet
Results:
- Dataset: ImageNet-1k