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

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cURL

curl --request POST \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/profile \
  --header 'x-jwt-token: REPLACE_KEY_VALUE'

Python

import http.client

conn = http.client.HTTPSConnection("studio.edgeimpulse.com")

headers = { 'x-jwt-token': "REPLACE_KEY_VALUE" }

conn.request("POST", "/v1/api/{projectId}/pretrained-model/profile", headers=headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

Node.js

const request = require('request');

const options = {
  method: 'POST',
  url: 'https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/profile',
  headers: {'x-jwt-token': 'REPLACE_KEY_VALUE'}
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});