Upload a pretrained model

Upload a pretrained model

post

Upload a pretrained model and receive info back about the input/output tensors. If you want to deploy a pretrained model from the API, see startDeployPretrainedModelJob.

Authorizations

ApiKeyAuthenticationJWTAuthenticationJWTHttpHeaderAuthenticationOAuth2

Path parameters

projectIdintegerRequired

Project ID

Query parameters

impulseIdintegerOptional

Impulse ID. If this is unset then the default impulse is used.

Body

modelFilestring · binaryRequired

modelFileNamestringRequired

modelFileTypestring · enumRequiredPossible values:

representativeFeaturesstring · binaryOptional

devicestringOptional

MCU used for calculating latency, query latencyDevices in listProject for a list of supported devices (and use the "mcu" property here). If this is kept empty then we'll show an overview of multiple devices.

Responses

200

OK

application/json

Responseall of

post

HTTPcURLJavaScriptPython

POST /v1/api/{projectId}/pretrained-model/upload HTTP/1.1
Host: studio.edgeimpulse.com
x-api-key: YOUR_API_KEY
Content-Type: multipart/form-data
Accept: */*
Content-Length: 120

{
  "modelFile": "binary",
  "modelFileName": "text",
  "modelFileType": "tflite",
  "representativeFeatures": "binary",
  "device": "text"
}

200

OK

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