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MoveNet-Lightning

4%
by Google

Single-pose lightning model. 30 FPS on a Coral. The pose 'YOLO-Nano'.

PoseApache-2.0INT8posesingle-person
218K downloads 14K deploymentsUpdated Feb 26, 2028
Headline:6.4ms · Google Coral Edge TPU · INT8

Deploy MoveNet-Lightning

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.

GGoogle Coral Edge TPU
# Coral Edge TPU (TFLite int8)
$ focsle pull google/movenet-lightning --target coral-edge-tpu
$ focsle compile movenet-lightning.tflite --target coral

# Run on Coral
import focsle.runtime as fr
m = fr.load("movenet-lightning_edgetpu.tflite", target="coral")
out = m.run(frame)

One-click endpoint

Spins up a managed endpoint in the closest region. Pro and above.

Or deploy yourself