Build on-device model

Generate code to run the impulse on an embedded device. When this step is complete use downloadBuild to download the artefacts. Updates are streamed over the websocket API.

POSThttps://studio.edgeimpulse.com/v1/api/{projectId}/jobs/build-ondevice-model

Path parameters

projectId*integer

Project ID

Query parameters

Body

engine*DeploymentTargetEngine (enum)

tflitetflite-eontflite-eon-ram-optimizedtensorrttensaiflowdrp-aitidlakidasyntiantmemryxneoxethos-linux

modelTypeKerasModelTypeEnum (enum)

int8float32akidarequiresRetrain

Response

Body

success*boolean

Whether the operation succeeded

errorstring

Optional error description (set if 'success' was false)

id*integer

Job identifier. Status updates will include this identifier.

Example: 12873488112

Request

Response

PreviousExport Keras block data NextBuild organizational on-device model

Last updated 8 months ago

const response = await fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/jobs/build-ondevice-model?type=text', {
    method: 'POST',
    headers: {
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      "engine": "tflite"
    }),
});
const data = await response.json();