metadata
library_name: mmpose
RTMPose introduces a real-time, top-down human pose estimation framework that jointly optimizes model architecture and training strategy to achieve high accuracy under strict latency constraints.
Original paper: RTMPose: Real-Time Multi-Person Pose Estimation Based on MMPose
RTMPose-M
This model uses the RTMPose-M variant, which strikes a balance between accuracy and inference speed through efficient backbone design and optimized keypoint heads. It is well suited for real-time pose estimation in applications such as human–computer interaction, sports analytics, video surveillance, and edge AI systems.
Model Configuration:
- Reference implementation: Official MMPose RTMPose models
- Original Weight: rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192
- Resolution: 3x256x192
- Support Cooper version:
- Cooper SDK: [2.5.3.1]
- Cooper Foundry: [2.2]
| Model | Device | compression | Model Link |
|---|---|---|---|
| RTMPose-m | N1-655 | Amba_optimized | Model_Link |
| RTMPose-m | N1-655 | Activation_fp16 | Model_Link |
| RTMPose-m | CV7 | Amba_optimized | Model_Link |
| RTMPose-m | CV7 | Activation_fp16 | Model_Link |
| RTMPose-m | CV72 | Amba_optimized | Model_Link |
| RTMPose-m | CV72 | Activation_fp16 | Model_Link |
| RTMPose-m | CV75 | Amba_optimized | Model_Link |
| RTMPose-m | CV75 | Activation_fp16 | Model_Link |