fix param size of resnet34

open-mmlab · Aug 20, 2024 · ed67399 · ed67399
1 parent 17a886c
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diff --git a/configs/resnet/README.md b/configs/resnet/README.md
@@ -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) |

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