OMby OpenMMLab
RTMPose-Edge
9%Real-time multi-person pose. Competes head-to-head with MoveNet on edge silicon.
PoseApache-2.0INT8FP16posemulti-person
112K downloads 6.9K deploymentsUpdated Mar 10, 2028
Headline:4.8ms · Hailo-8 · INT8
Deploy RTMPose-Edge
Pick a chip family. We hand you the artifacts (HEF, TRT engine, Core ML, ONNX) plus a one-click endpoint deploy. For private endpoints, on-prem deploy, or air-gapped distribution, see Enterprise.
HHailo-8
# Compile to Hailo HEF
$ pip install focsle
$ focsle pull openmmlab/rtmpose-edge --target hailo-8
$ focsle compile rtmpose-edge.onnx --target hailo-8 --quant int8
# Run on-device (HailoRT)
import focsle.runtime as fr
m = fr.load("rtmpose-edge.hef", target="hailo")
out = m.run(frame)One-click endpoint
Spins up a managed endpoint in the closest region. Pro and above.