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π₯ Shanghai AI Lab Introduces RTMW: Real-Time Multi-Person Whole-Body Pose Estimation π₯
β’ Blazing Speed: 940+ FPS on GPU, 50β300+ 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
π Discover More:
* Source code: Github
* Paper: Read the paper
β
https://www.tgoop.com/deeplearning_ai
BY Artificial Intelligence && Deep Learning
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