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update modelzoo (open-mmlab#82)
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Co-authored-by: lizz <363664470@qq.com>
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jin-s13 and innerlee authored Aug 22, 2020
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4 changes: 4 additions & 0 deletions configs/bottom_up/resnet/README.md
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| Arch | Input Size | AP | AP<sup>50</sup> | AP<sup>75</sup> | AR | AR<sup>50</sup> | ckpt | log |
| :----------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| [pose_resnet_50](/configs/bottom_up/resnet/coco/res50_coco_512x512.py) | 512x512 | 0.466 | 0.742 | 0.479 | 0.552 | 0.797 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res50_coco_512x512-5521bead_20200816.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res50_coco_512x512_20200816.log.json) |
| [pose_resnet_50](/configs/bottom_up/resnet/coco/res50_coco_640x640.py) | 640x640 | 0.479 | 0.757 | 0.487 | 0.566 | 0.810 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res50_coco_640x640-2046f9cb_20200822.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res50_coco_640x640_20200822.log.json) |
| [pose_resnet_101](/configs/bottom_up/resnet/coco/res101_coco_512x512.py) | 512x512 | 0.554 | 0.807 | 0.599 | 0.622 | 0.841 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res101_coco_512x512-e0c95157_20200816.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res101_coco_512x512_20200816.log.json) |
| [pose_resnet_152](/configs/bottom_up/resnet/coco/res152_coco_512x512.py) | 512x512 | 0.595 | 0.829 | 0.648 | 0.651 | 0.856 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res152_coco_512x512-364eb38d_20200822.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res152_coco_512x512_20200822.log.json) |

### Results on COCO val2017 with multi-scale test with scales [2, 1, 0.5].

| Arch | Input Size | AP | AP<sup>50</sup> | AP<sup>75</sup> | AR | AR<sup>50</sup> | ckpt | log |
| :----------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| [pose_resnet_50](/configs/bottom_up/resnet/coco/res50_coco_512x512.py) | 512x512 | 0.503 | 0.765 | 0.521 | 0.591 | 0.821 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res50_coco_512x512-5521bead_20200816.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res50_coco_512x512_20200816.log.json) |
| [pose_resnet_50](/configs/bottom_up/resnet/coco/res50_coco_640x640.py) | 640x640 | 0.525 | 0.784 | 0.542 | 0.610 | 0.832 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res50_coco_640x640-2046f9cb_20200822.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res50_coco_640x640_20200822.log.json) |
| [pose_resnet_101](/configs/bottom_up/resnet/coco/res101_coco_512x512.py) | 512x512 | 0.603 | 0.831 | 0.641 | 0.668 | 0.870 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res101_coco_512x512-e0c95157_20200816.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res101_coco_512x512_20200816.log.json) |
| [pose_resnet_152](/configs/bottom_up/resnet/coco/res152_coco_512x512.py) | 512x512 | 0.660 | 0.860 | 0.713 | 0.709 | 0.889 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res152_coco_512x512-364eb38d_20200822.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/res152_coco_512x512_20200822.log.json) |
8 changes: 8 additions & 0 deletions configs/top_down/cpm/README.md
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| Arch | Input Size | AP | AP<sup>50</sup> | AP<sup>75</sup> | AR | AR<sup>50</sup> | ckpt | log |
| :----------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| [cpm](/configs/top_down/cpm/coco/cpm_coco_256x192.py) | 256x192 | 0.623 | 0.859 | 0.704 | 0.686 | 0.903 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/cpm/cpm_coco_256x192-aa4ba095_20200817.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/cpm/cpm_coco_256x192_20200817.log.json) |
| [cpm](/configs/top_down/cpm/coco/cpm_coco_384x288.py) | 384x288 | 0.650 | 0.864 | 0.725 | 0.708 | 0.905 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/cpm/cpm_coco_384x288-80feb4bc_20200821.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/cpm/cpm_coco_384x288_20200821.log.json) |


### Results on MPII val set.

| Arch | Input Size | Mean | Mean@0.1 | ckpt | log |
| :--- | :--------: | :------: | :------: |:------: |:------: |
| [cpm](/configs/top_down/cpm/mpii/cpm_mpii_368x368.py) | 368x368 | 0.876 | 0.325 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/cpm/cpm_mpii_368x368-116e62b8_20200822.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/cpm/cpm_mpii_368x368_20200822.log.json) |
3 changes: 2 additions & 1 deletion docs/merge_docs.sh
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sed -i '$a\\n' ../configs/bottom_up/*/*.md
sed -i '$a\\n' ../configs/top_down/*/*.md
sed -i '$a\\n' pretrained.md
sed -i '$a\\n' model_zoo.md
cat ../configs/bottom_up/*/*.md > bottom_up_models.md
cat ../configs/top_down/*/*.md > top_down_models.md
Expand All @@ -19,4 +20,4 @@ sed -i 's/](\/docs\//](/g' top_down_models.md
sed -i 's=](/=](https://github.com/open-mmlab/mmpose/tree/master/=g' bottom_up_models.md
sed -i 's=](/=](https://github.com/open-mmlab/mmpose/tree/master/=g' top_down_models.md

cat bottom_up_models.md top_down_models.md >> model_zoo.md
cat bottom_up_models.md top_down_models.md pretrained.md >> model_zoo.md
66 changes: 0 additions & 66 deletions docs/model_zoo.md
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# Model Zoo

## Overview

### Top-Down Method:

#### Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 dataset

| Arch | Input Size | AP | AP<sup>50</sup> | AP<sup>75</sup> | AR | AR<sup>50</sup> | ckpt | log |
| :----------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| pose_resnet_50 | 256x192 | 0.718 | 0.898 | 0.795 | 0.773 | 0.937 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res50_coco_256x192-ec54d7f3_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res50_coco_256x192_20200709.log.json) |
| pose_resnet_50 | 384x288 | 0.731 | 0.900 | 0.799 | 0.783 | 0.931 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res50_coco_384x288-e6f795e9_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res50_coco_384x288_20200709.log.json) |
| pose_resnet_101 | 256x192 | 0.726 | 0.899 | 0.806 | 0.781 | 0.939 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res101_coco_256x192-6e6babf0_20200708.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res101_coco_256x192_20200708.log.json) |
| pose_resnet_101 | 384x288 | 0.748 | 0.905 | 0.817 | 0.798 | 0.940 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res101_coco_384x288-8c71bdc9_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res101_coco_384x288_20200709.log.json) |
| pose_resnet_152 | 256x192 | 0.735 | 0.905 | 0.812 | 0.790 | 0.943 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res152_coco_256x192-f6e307c2_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res152_coco_256x192_20200709.log.json) |
| pose_resnet_152 | 384x288 | 0.750 | 0.908 | 0.821 | 0.800 | 0.942 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res152_coco_384x288-3860d4c9_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res152_coco_384x288_20200709.log.json) |
| pose_hrnet_w32 | 256x192 | 0.746 | 0.904 | 0.819 | 0.799 | 0.942 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/hrnet/hrnet_w32_coco_256x192-c78dce93_20200708.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/hrnet/hrnet_w32_coco_256x192_20200708.log.json) |
| pose_hrnet_w32 | 384x288 | 0.760 | 0.906 | 0.829 | 0.810 | 0.943 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/hrnet/hrnet_w32_coco_384x288-d9f0d786_20200708.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/hrnet/hrnet_w32_coco_384x288_20200708.log.json) |
| pose_hrnet_w48 | 256x192 | 0.756 | 0.907 | 0.825 | 0.806 | 0.942 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/hrnet/hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/hrnet/hrnet_w48_coco_256x192_20200708.log.json) |
| pose_hrnet_w48 | 384x288 | 0.767 | 0.910 | 0.831 | 0.816 | 0.946 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/hrnet/hrnet_w48_coco_384x288-314c8528_20200708.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/hrnet/hrnet_w48_coco_384x288_20200708.log.json) |
| pose_scnet_50 | 256x192 | 0.728 | 0.899 | 0.807 | 0.784 | 0.938 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/scnet/scnet50_coco_256x192-6920f829_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/scnet/scnet50_coco_256x192_20200709.log.json) |
| pose_scnet_50 | 384x288 | 0.751 | 0.906 | 0.818 | 0.802 | 0.943 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/scnet/scnet50_coco_384x288-9cacd0ea_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/scnet/scnet50_coco_384x288_20200709.log.json) |
| pose_scnet_101 | 256x192 | 0.733 | 0.903 | 0.813 | 0.790 | 0.941 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/scnet/scnet101_coco_256x192-6d348ef9_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/scnet/scnet101_coco_256x192_20200709.log.json) |
| pose_scnet_101 | 384x288 | 0.752 | 0.906 | 0.823 | 0.804 | 0.943 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/scnet/scnet101_coco_384x288-0b6e631b_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/scnet/scnet101_coco_384x288_20200709.log.json) |
| dark_pose_resnet_50 | 256x192 | 0.724 | 0.898 | 0.800 | 0.777 | 0.936 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res50_coco_256x192_dark-43379d20_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/resnet/res50_coco_256x192_dark_20200709.log.json) |
| pose_hourglass_52 | 256x256 | 0.726 | 0.896 | 0.799 | 0.780 | 0.934 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/hourglass/hourglass52_coco_256x256-4ec713ba_20200709.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/top_down/hourglass/hourglass52_coco_256x256_20200709.log.json) |


### Bottom-Up Method:

#### Results on COCO val2017 without multi-scale test

| Arch | Input Size | AP | AP<sup>50</sup> | AP<sup>75</sup> | AR | AR<sup>50</sup> | ckpt | log |
| :----------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| HRNet-w32 | 512x512 | 0.677 | 0.870 | 0.738 | 0.723 | 0.890 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet32_coco_512x512-8ae85183_20200713.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet32_coco_512x512_20200713.log.json) |
| HRNet-w32 | 640x640 | 0.686 | 0.871 | 0.747 | 0.733 | 0.898 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet32_coco_640x640-a22fe938_20200712.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet32_coco_640x640_20200712.log.json) |
| HRNet-w48 | 512x512 | 0.686 | 0.873 | 0.741 | 0.731 | 0.892 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet48_coco_512x512-60fedcbc_20200712.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet48_coco_512x512_20200712.log.json) |

#### Results on COCO val2017 with multi-scale test

| Arch | Input Size | AP | AP<sup>50</sup> | AP<sup>75</sup> | AR | AR<sup>50</sup> | ckpt | log |
| :----------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| HRNet-w32 | 512x512 | 0.706 | 0.881 | 0.771 | 0.747 | 0.901 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet32_coco_512x512-8ae85183_20200713.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet32_coco_512x512_20200713.log.json) |
| HRNet-w32 | 640x640 | 0.706 | 0.880 | 0.770 | 0.749 | 0.902 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet32_coco_640x640-a22fe938_20200712.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet32_coco_640x640_20200712.log.json) |
| HRNet-w48 | 512x512 | 0.716 | 0.884 | 0.775 | 0.755 | 0.901 | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet48_coco_512x512-60fedcbc_20200712.pth) | [log](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/bottom_up/higher_hrnet48_coco_512x512_20200712.log.json) |

#### Pretrained backbones on ImageNet

| Model | Checkpoint | Download |
| :----------------- | :-----------: | :-----------: |
| resnet50 | resnet50-19c8e357.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/resnet50-19c8e357.pth)
| resnet101 | resnet101-5d3b4d8f.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/resnet101-5d3b4d8f.pth)
| resnet152 | resnet152-b121ed2d.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/resnet152-b121ed2d.pth)
| hrnet_w32 | hrnet_w32-36af842e.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/hrnet_w32-36af842e.pth) |
| hrnet_w48 | hrnet_w48-8ef0771d.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth)
| scnet50 | scnet50-7ef0a199.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/scnet50-7ef0a199.pth)
| scnet101 | scnet101-94250a77.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/scnet101-94250a77.pth)
| resnetv1d50 | resnetv1d50_batch256_20200708-1ad0ce94.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnetv1d50_batch256_20200708-1ad0ce94.pth) |
| resnetv1d101 | resnetv1d101_batch256_20200708-9cb302ef.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnetv1d101_batch256_20200708-9cb302ef.pth) |
| resnetv1d152 | resnetv1d152_batch256_20200708-e79cb6a2.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnetv1d152_batch256_20200708-e79cb6a2.pth) |
| resnext50 | resnext50_32x4d_batch256_20200708-c07adbb7.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnext50_32x4d_batch256_20200708-c07adbb7.pth) |
| resnext101 | resnext101_32x4d_batch256_20200708-87f2d1c9.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnext101_32x4d_batch256_20200708-87f2d1c9.pth) |
| resnext152 | resnext152_32x4d_batch256_20200708-aab5034c.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnext152_32x4d_batch256_20200708-aab5034c.pth) |
| se-resnet50 | se-resnet50_batch256_20200708-657b3c36.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/se-resnet50_batch256_20200708-657b3c36.pth) |
| se-resnet101 | se-resnet101_batch256_20200708-038a4d04.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/se-resnet101_batch256_20200708-038a4d04.pth) |
| shufflenet_v1 | shufflenet_v1_batch1024_20200708-7a087432.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/shufflenet_v1_batch1024_20200708-7a087432.pth) |
| mobilenet_v2 | mobilenet_v2_batch256_20200708-3b2dc3af.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/mobilenet_v2_batch256_20200708-3b2dc3af.pth) |
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## Pretrained backbones on ImageNet

| Model | Checkpoint | Download |
| :----------------- | :-----------: | :-----------: |
| resnet50 | resnet50-19c8e357.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/resnet50-19c8e357.pth)
| resnet101 | resnet101-5d3b4d8f.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/resnet101-5d3b4d8f.pth)
| resnet152 | resnet152-b121ed2d.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/resnet152-b121ed2d.pth)
| hrnet_w32 | hrnet_w32-36af842e.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/hrnet_w32-36af842e.pth) |
| hrnet_w48 | hrnet_w48-8ef0771d.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth)
| scnet50 | scnet50-7ef0a199.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/scnet50-7ef0a199.pth)
| scnet101 | scnet101-94250a77.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmpose/pretrain_models/scnet101-94250a77.pth)
| resnetv1d50 | resnetv1d50_batch256_20200708-1ad0ce94.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnetv1d50_batch256_20200708-1ad0ce94.pth) |
| resnetv1d101 | resnetv1d101_batch256_20200708-9cb302ef.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnetv1d101_batch256_20200708-9cb302ef.pth) |
| resnetv1d152 | resnetv1d152_batch256_20200708-e79cb6a2.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnetv1d152_batch256_20200708-e79cb6a2.pth) |
| resnext50 | resnext50_32x4d_batch256_20200708-c07adbb7.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnext50_32x4d_batch256_20200708-c07adbb7.pth) |
| resnext101 | resnext101_32x4d_batch256_20200708-87f2d1c9.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnext101_32x4d_batch256_20200708-87f2d1c9.pth) |
| resnext152 | resnext152_32x4d_batch256_20200708-aab5034c.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/resnext152_32x4d_batch256_20200708-aab5034c.pth) |
| se-resnet50 | se-resnet50_batch256_20200708-657b3c36.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/se-resnet50_batch256_20200708-657b3c36.pth) |
| se-resnet101 | se-resnet101_batch256_20200708-038a4d04.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/se-resnet101_batch256_20200708-038a4d04.pth) |
| shufflenet_v1 | shufflenet_v1_batch1024_20200708-7a087432.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/shufflenet_v1_batch1024_20200708-7a087432.pth) |
| mobilenet_v2 | mobilenet_v2_batch256_20200708-3b2dc3af.pth | [ckpt](https://openmmlab.oss-accelerate.aliyuncs.com/mmclassification/v0/imagenet/mobilenet_v2_batch256_20200708-3b2dc3af.pth) |


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