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Sponsored by
PoYo.AI
AXERA-TECH / RTMPose
Model's Last Updated: May 20 2026
image-classification
Introduction of RTMPose
Model Details of RTMPose
RTMPose-M
This version of RTMPose-M (256x192) has been converted to run on the Axera NPU using mixed w16/fp32 quantization. It is optimized for real-time human pose estimation with 17 COCO keypoints using the SimCC decoding approach.
Compatible with Pulsar2 version: 6.0.
Model Info
| Item | Value |
|---|---|
| Architecture | RTMPose-M (CSPNeXt + SimCC Head) |
| Parameters | 13.58M |
| Input | 1x256x192x3 (NHWC, uint8, BGR) |
| Output | simcc_x (1,17,384), simcc_y (1,17,512) |
| Keypoints | 17 (COCO format) |
| Source | OpenMMLab MMPose |
Convert tools links:
For those who are interested in model conversion, you can try to export axmodel through:
- The repo of AXera Platform , where you can get the detailed guide.
- Pulsar2 Link, How to Convert ONNX to axmodel
Support Platform
- AX650N/AX8850
Performance Statistics
AX650N
| Model | Latency(ms) npu3 |
|---|---|
| rtmpose_m | 2.881 |
Conversion Pipeline
- Export ONNX — Download official RTMPose-M from OpenMMLab and fix batch dim:
python export_onnx.py
- Replace HardSigmoid — Replace HardSigmoid ops with Mul+Add+Clip for better NPU quantization:
python replace_hardsigmoid.py
-
Compile axmodel
— Use Pulsar2 with the provided
config.jsonto quantize and compile:
pulsar2 build --target_hardware AX650 --config config.json --input rtmpose_m_256x192_no_hs.onnx --output_dir AX650
How to use
Download all files from this repository to the device.
python env requirement
pyaxengine
https://github.com/AXERA-TECH/pyaxengine
wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc2/axengine-0.1.3-py3-none-any.whl
pip install axengine-0.1.3-py3-none-any.whl
Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
Input image:
run
python3 ax_infer.py -m rtmpose_m_npu3.axmodel -i test.jpg
root@ax650:~/data# python3 ax_infer.py -m rtmpose_m_npu3.axmodel -i test.jpg
[INFO] Available providers: ['AxEngineExecutionProvider']
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Chip type: ChipType.MC50
[INFO] VNPU type: VNPUType.DISABLED
[INFO] Engine version: 2.10.1s
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 6.0 93b95f7f
Model input: name=input, shape=[1, 256, 192, 3], dtype=uint8
Forward: 3.38 ms (avg of 10 runs)
simcc_x: shape=(1, 17, 384), range=[-0.58, 0.88]
simcc_y: shape=(1, 17, 512), range=[-0.49, 0.88]
kpts above 0.3: 17/17
kp00: ( 359.6, 83.3) score=0.6773
kp01: ( 370.0, 79.2) score=0.6950
kp02: ( 359.6, 77.1) score=0.6878
kp03: ( 384.6, 79.2) score=0.7398
kp04: ( 359.6, 79.2) score=0.6385
kp05: ( 403.3, 106.3) score=0.7596
kp06: ( 367.9, 116.7) score=0.7683
kp07: ( 432.5, 152.1) score=0.4699
kp08: ( 342.9, 158.3) score=0.6831
kp09: ( 445.0, 177.1) score=0.3021
kp10: ( 305.4, 179.2) score=0.5798
kp11: ( 432.5, 212.5) score=0.7872
kp12: ( 399.2, 218.7) score=0.8110
kp13: ( 432.5, 289.6) score=0.7358
kp14: ( 372.1, 279.2) score=0.8252
kp15: ( 470.0, 356.2) score=0.6704
kp16: ( 399.2, 345.8) score=0.8183
Saved: ax_result.jpg
Output image:
Runs of AXERA-TECH RTMPose on huggingface.co
26
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24-hour runs
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3-day runs
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7-day runs
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30-day runs
More Information About RTMPose huggingface.co Model
Url of RTMPose
RTMPose huggingface.co Url
Provider of RTMPose huggingface.co
Other API from AXERA-TECH
Updated:August 26 2026
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