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🔥 Shanghai AI Lab Introduces RTMW: Real-Time Multi-Person Whole-Body Pose Estimation 🔥


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

🔗 Discover More:
* Source code: Github
* Paper: Read the paper

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



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


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

🔗 Discover More:
* Source code: Github
* Paper: Read the paper

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

BY Artificial Intelligence && Deep Learning


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Artificial Intelligence && Deep Learning Telegram | DID YOU KNOW?

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Telegram’s stand out feature is its encryption scheme that keeps messages and media secure in transit. The scheme is known as MTProto and is based on 256-bit AES encryption, RSA encryption, and Diffie-Hellman key exchange. The result of this complicated and technical-sounding jargon? A messaging service that claims to keep your data safe.Why do we say claims? When dealing with security, you always want to leave room for scrutiny, and a few cryptography experts have criticized the system. Overall, any level of encryption is better than none, but a level of discretion should always be observed with any online connected system, even Telegram.

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