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[IJCAI 2022] Code for the paper "Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation"

Home Page: https://doi.org/10.24963/ijcai.2022/153

License: Apache License 2.0

Python 99.53% Shell 0.47%
deep-learning high-resolution-net human-pose-estimation mpii-dataset mscoco-keypoint pytorch pose-estimation keypoint-detection coco-keypoints-detection mpii

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dite-hrnet's Issues

Welcome update to OpenMMLab 2.0

Welcome update to OpenMMLab 2.0

I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/amFNsyUBvm or add me on WeChat (van-sin) and I will invite you to the OpenMMLab WeChat group.

Here are the OpenMMLab 2.0 repos branches:

OpenMMLab 1.0 branch OpenMMLab 2.0 branch
MMEngine 0.x
MMCV 1.x 2.x
MMDetection 0.x 、1.x、2.x 3.x
MMAction2 0.x 1.x
MMClassification 0.x 1.x
MMSegmentation 0.x 1.x
MMDetection3D 0.x 1.x
MMEditing 0.x 1.x
MMPose 0.x 1.x
MMDeploy 0.x 1.x
MMTracking 0.x 1.x
MMOCR 0.x 1.x
MMRazor 0.x 1.x
MMSelfSup 0.x 1.x
MMRotate 1.x 1.x
MMYOLO 0.x

Attention: please create a new virtual environment for OpenMMLab 2.0.

训练时间和推理时间

请教一下您两个版本的模型的训练时间和推理时间,lite-hrnet在推理速度表现好像不是很好,您这边相比于lite-hrnet有提升吗

the result of this paper

这篇论文里显示的结果,都是在8张3090跑出来的吗?
Are the results shown in this paper all in 8 3090?

Question about Dite-HRNet

Hi, Thank you for sharing your work.
Table 2 in your paper shows mobileNet performance. I guess this mobileNet is trained for pose estimation?

and could we use Dite-HRNet for object detection task as well?
So predict the bounding box from Dite-HRNet and predict the pose again using Dite-HRNet.

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