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[Fix]: Fix the link of SimMIM 800pt 100ft (#622) 

* [Feature]: Fix test dataloader bug

* [Fix]: Fix the link of 800pt 100ft SimMIM
pull/623/head
Yuan Liu 2022-12-08 16:52:11 +08:00 committed by GitHub
parent ce4b78b171
commit f6049ed379
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4 changed files with 7 additions and 6 deletions
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1
configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py
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@ -56,3 +56,4 @@ val_dataloader = dict(
dataset=dict(pipeline=test_pipeline),
collate_fn=dict(type='default_collate'),
pin_memory=True)
test_dataloader = val_dataloader

4
configs/selfsup/simmim/README.md
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@ -67,10 +67,10 @@ Here, we report the results of the model, and more results will be coming soon.
<td>224</td>
<td>2048</td>
<td>/</td>
<td>83.8</td>
<td>83.7</td>
<td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192_20220916-a0e931ac.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192_20220906_141645.json'>log</a></td>
<td>/</td>
<td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20220916-b202cd1c.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20220909_104645.json'>log</a></td>
<td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20221208-155cc6e6.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20221207_135847.json'>log</a></td>
</tr>
<tr>
<td>SimMIM</td>

4
docs/en/model_zoo.md
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@ -360,10 +360,10 @@ ImageNet has multiple versions, but the most commonly used one is ILSVRC 2012. T
<td>800</td>
<td>2048</td>
<td>/</td>
<td>83.8</td>
<td>83.7</td>
<td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192_20220916-a0e931ac.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192_20220906_141645.json'>log</a></td>
<td>/</td>
<td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20220916-b202cd1c.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20220909_104645.json'>log</a></td>
<td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20221208-155cc6e6.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20221207_135847.json'>log</a></td>
</tr>
<tr>
<td>Swin-large-FT224</td>

4
docs/zh_cn/model_zoo.md
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@ -360,10 +360,10 @@ ImageNet 有多个版本，不过最常用的是 ILSVRC 2012。我们提供了
<td>800</td>
<td>2048</td>
<td>/</td>
<td>83.8</td>
<td>83.7</td>
<td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/selfsup/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192_20220916-a0e931ac.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192_20220906_141645.json'>log</a></td>
<td>/</td>
<td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20220916-b202cd1c.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20220909_104645.json'>log</a></td>
<td><a href='https://github.com/open-mmlab/mmselfsup/blob/dev-1.x/configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py'>config</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20221208-155cc6e6.pth'>model</a> | <a href='https://download.openmmlab.com/mmselfsup/1.x/simmim/simmim_swin-base_16xb128-amp-coslr-800e_in1k-192/swin-base_ft-8xb256-coslr-100e_in1k-224/swin-base_ft-8xb256-coslr-100e_in1k-224_20221207_135847.json'>log</a></td>
</tr>
<tr>
<td>Swin-large-FT224</td>