Export Keras block data

Export Keras block data

post

Export the data of a Keras block (already split in train/validate data). Updates are streamed over the websocket API.

Authorizations

ApiKeyAuthenticationJWTAuthenticationJWTHttpHeaderAuthentication

Path parameters

projectIdintegerRequired

Project ID

learnIdintegerRequired

Learn Block ID, use the impulse functions to retrieve the ID

Body

overrideImageInputScalingstring · enumOptional

Normalization that is applied to images. If this is not set then 0..1 is used. "0..1" gives you non-normalized pixels between 0 and 1. "-1..1" gives you non-normalized pixels between -1 and 1. "0..255" gives you non-normalized pixels between 0 and 255. "-128..127" gives you non-normalized pixels between -128 and 127. "torch" first scales pixels between 0 and 1, then applies normalization using the ImageNet dataset (same as torchvision.transforms.Normalize()). "bgr-subtract-imagenet-mean" scales to 0..255, reorders pixels to BGR, and subtracts the ImageNet mean from each channel.

Possible values:

Responses

200

OK

application/json

Responseall of

post

HTTPcURLJavaScriptPython

POST /v1/api/{projectId}/jobs/train/keras/{learnId}/data HTTP/1.1
Host: studio.edgeimpulse.com
x-api-key: YOUR_API_KEY
Content-Type: application/json
Accept: */*
Content-Length: 36

{
  "overrideImageInputScaling": "0..1"
}

200

OK

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