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[Fix] Unify test batch_size of edpose #2701

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Merged
merged 1 commit into from
Sep 19, 2023
Merged

[Fix] Unify test batch_size of edpose #2701

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2 changes: 1 addition & 1 deletion configs/body_2d_keypoint/edpose/coco/edpose_coco.md
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Expand Up @@ -55,7 +55,7 @@ Results on COCO val2017.

| Arch | BackBone | AP | AP<sup>50</sup> | AP<sup>75</sup> | AR | AR<sup>50</sup> | ckpt | log |
| :-------------------------------------------- | :-------: | :---: | :-------------: | :-------------: | :---: | :-------------: | :--------------------------------------------: | :-------------------------------------------: |
| [edpose_res50_coco](/configs/body_2d_keypoint/edpose/coco/edpose_res50_8xb2-50e_coco-800x1333.py) | ResNet-50 | 0.716 | 0.898 | 0.783 | 0.793 | 0.944 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/edpose/coco/edpose_res50_coco_3rdparty.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/edpose/coco/edpose_res50_coco_3rdparty.json) |
| [edpose_res50_coco](/configs/body_2d_keypoint/edpose/coco/edpose_res50_8xb2-50e_coco-800x1333.py) | ResNet-50 | 0.716 | 0.897 | 0.783 | 0.793 | 0.943 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/edpose/coco/edpose_res50_coco_3rdparty.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/edpose/coco/edpose_res50_coco_3rdparty.json) |

The checkpoint is converted from the official repo. The training of EDPose is not supported yet. It will be supported in the future updates.

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4 changes: 2 additions & 2 deletions configs/body_2d_keypoint/edpose/coco/edpose_coco.yml
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Expand Up @@ -18,9 +18,9 @@ Models:
- Dataset: COCO
Metrics:
AP: 0.716
[email protected]: 0.898
[email protected]: 0.897
[email protected]: 0.783
AR: 0.793
[email protected]: 0.944
[email protected]: 0.943
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/edpose/coco/edpose_res50_coco_3rdparty.pth
2 changes: 1 addition & 1 deletion configs/body_2d_keypoint/edpose/coco/edpose_res50_8xb2-50e_coco-800x1333.py
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Expand Up @@ -211,7 +211,7 @@
))

val_dataloader = dict(
batch_size=4,
batch_size=1,
num_workers=8,
persistent_workers=True,
drop_last=False,
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