Add RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

quic / ai-hub-models

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

https://aihub.qualcomm.com

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Add RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose #31

Open GLOMQuyet opened 6 months ago

GLOMQuyet commented 6 months ago

Do you intend to experiment with modes like rtmpose, rtmo for real time pose estimation?

Details of model being requested

Model name: RTMpose, rtmo
Source repo link: https://github.com/open-mmlab/mmpose
Research paper link [If applicable]:https://arxiv.org/abs/2303.07399
Model use case: SimCC

Additional context for requested model Add any other context or screenshots about the feature request here.

mestrona-3 commented 6 months ago

@GLOMQuyet thank you for the model request! I have added it to our list of models to add in the future.

In the meantime, feel free to follow the BYOM (Bring Your Own Model) path and submit this model to Hub. If there are any issues in getting a successful and/or performant job on Hub. Feel free to let us know on slack in #performance-help.

You can follow these instructions to submit your Torch model on Hub: https://app.aihub.qualcomm.com/docs/hub/profile_examples.html#profiling-a-pytorch-model