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πŸ”₯ Shanghai AI Lab Introduces RTMW: Real-Time Multi-Person Whole-Body Pose Estimation πŸ”₯


β€’ Blazing Speed: 940+ FPS on GPU, 50–300+ FPS on CPU
β€’ High-Performance Models: Supports 2D/3D whole-body pose estimation
β€’ Cutting-Edge Architecture: Built upon RTMPose with FPN & HEM
β€’ Wide Dataset Coverage: Manually aligned keypoints across 14 open datasets
β€’ Extensive Framework Support: ONNX, TensorRT, ncnn, and OpenVINO
β€’ Open Source: Code and pre-trained models available

πŸ”— Discover More:
* Source code: Github
* Paper: Read the paper

βœ… https://www.tg-me.com/deeplearning_ai



tg-me.com/DeepLearning_ai/1224
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πŸ”₯ Shanghai AI Lab Introduces RTMW: Real-Time Multi-Person Whole-Body Pose Estimation πŸ”₯


β€’ Blazing Speed: 940+ FPS on GPU, 50–300+ FPS on CPU
β€’ High-Performance Models: Supports 2D/3D whole-body pose estimation
β€’ Cutting-Edge Architecture: Built upon RTMPose with FPN & HEM
β€’ Wide Dataset Coverage: Manually aligned keypoints across 14 open datasets
β€’ Extensive Framework Support: ONNX, TensorRT, ncnn, and OpenVINO
β€’ Open Source: Code and pre-trained models available

πŸ”— Discover More:
* Source code: Github
* Paper: Read the paper

βœ… https://www.tg-me.com/deeplearning_ai

BY Artificial Intelligence && Deep Learning


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