Profile pretrained model

Profile pretrained model

Returns the latency, RAM and ROM used for the pretrained model - upload first via uploadPretrainedModel. This is using the project's selected latency device. Updates are streamed over the websocket API (or can be retrieved through the /stdout endpoint). Use getProfileTfliteJobResult to get the results when the job is completed.

POSThttps://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/profile

Path parameters

projectId*integer

Project ID

Query parameters

Response

200

OK

Body

application/json

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

JavaScriptCurlPython

const response = await fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/profile', {
    method: 'POST',
    headers: {},
});
const data = await response.json();

Response

200

{
  "success": false,
  "error": "text",
  "id": 12873488112
}