Create impulse
curl --request POST \
--url https://studio.edgeimpulse.com/v1/api/{projectId}/impulse \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"inputBlocks": [
{
"id": 2,
"type": "time-series",
"name": "Time series",
"title": "Time series",
"axes": [
"accX"
],
"windowSizeMs": 2004,
"windowIncreaseMs": 123,
"frequencyHz": 60,
"classificationWindowIncreaseMs": 123,
"padZeros": true,
"imageWidth": 28,
"imageHeight": 28,
"resizeMode": "squash",
"resizeMethod": "squash",
"cropAnchor": "middle-center",
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"dspBlocks": [
{
"id": 2,
"type": "spectral-analysis",
"name": "Spectral features",
"axes": [
"accX"
],
"title": "Spectral Analysis",
"implementationVersion": 123,
"valuesPerAxis": 11,
"input": 1,
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z",
"customUrl": "<string>",
"namedAxes": [
{
"name": "<string>",
"description": "<string>",
"required": true,
"selectedAxis": "<string>"
}
]
}
],
"learnBlocks": [
{
"id": 2,
"name": "NN Classifier",
"dsp": [
27
],
"title": "Classification (Keras)",
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"name": "<string>",
"postProcessingBlocks": [
{
"id": 2,
"type": "object-tracking",
"name": "Object tracking",
"title": "Object tracking",
"implementationVersion": 123,
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"datasetVersionId": 123
}
'import requests
url = "https://studio.edgeimpulse.com/v1/api/{projectId}/impulse"
payload = {
"inputBlocks": [
{
"id": 2,
"type": "time-series",
"name": "Time series",
"title": "Time series",
"axes": ["accX"],
"windowSizeMs": 2004,
"windowIncreaseMs": 123,
"frequencyHz": 60,
"classificationWindowIncreaseMs": 123,
"padZeros": True,
"imageWidth": 28,
"imageHeight": 28,
"resizeMode": "squash",
"resizeMethod": "squash",
"cropAnchor": "middle-center",
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"dspBlocks": [
{
"id": 2,
"type": "spectral-analysis",
"name": "Spectral features",
"axes": ["accX"],
"title": "Spectral Analysis",
"implementationVersion": 123,
"valuesPerAxis": 11,
"input": 1,
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z",
"customUrl": "<string>",
"namedAxes": [
{
"name": "<string>",
"description": "<string>",
"required": True,
"selectedAxis": "<string>"
}
]
}
],
"learnBlocks": [
{
"id": 2,
"name": "NN Classifier",
"dsp": [27],
"title": "Classification (Keras)",
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"name": "<string>",
"postProcessingBlocks": [
{
"id": 2,
"type": "object-tracking",
"name": "Object tracking",
"title": "Object tracking",
"implementationVersion": 123,
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"datasetVersionId": 123
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
inputBlocks: [
{
id: 2,
type: 'time-series',
name: 'Time series',
title: 'Time series',
axes: ['accX'],
windowSizeMs: 2004,
windowIncreaseMs: 123,
frequencyHz: 60,
classificationWindowIncreaseMs: 123,
padZeros: true,
imageWidth: 28,
imageHeight: 28,
resizeMode: 'squash',
resizeMethod: 'squash',
cropAnchor: 'middle-center',
createdBy: 'createImpulse',
createdAt: '2023-11-07T05:31:56Z'
}
],
dspBlocks: [
{
id: 2,
type: 'spectral-analysis',
name: 'Spectral features',
axes: ['accX'],
title: 'Spectral Analysis',
implementationVersion: 123,
valuesPerAxis: 11,
input: 1,
createdBy: 'createImpulse',
createdAt: '2023-11-07T05:31:56Z',
customUrl: '<string>',
namedAxes: [
{
name: '<string>',
description: '<string>',
required: true,
selectedAxis: '<string>'
}
]
}
],
learnBlocks: [
{
id: 2,
name: 'NN Classifier',
dsp: [27],
title: 'Classification (Keras)',
createdBy: 'createImpulse',
createdAt: '2023-11-07T05:31:56Z'
}
],
name: '<string>',
postProcessingBlocks: [
{
id: 2,
type: 'object-tracking',
name: 'Object tracking',
title: 'Object tracking',
implementationVersion: 123,
createdBy: 'createImpulse',
createdAt: '2023-11-07T05:31:56Z'
}
],
datasetVersionId: 123
})
};
fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/impulse', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://studio.edgeimpulse.com/v1/api/{projectId}/impulse",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'inputBlocks' => [
[
'id' => 2,
'type' => 'time-series',
'name' => 'Time series',
'title' => 'Time series',
'axes' => [
'accX'
],
'windowSizeMs' => 2004,
'windowIncreaseMs' => 123,
'frequencyHz' => 60,
'classificationWindowIncreaseMs' => 123,
'padZeros' => true,
'imageWidth' => 28,
'imageHeight' => 28,
'resizeMode' => 'squash',
'resizeMethod' => 'squash',
'cropAnchor' => 'middle-center',
'createdBy' => 'createImpulse',
'createdAt' => '2023-11-07T05:31:56Z'
]
],
'dspBlocks' => [
[
'id' => 2,
'type' => 'spectral-analysis',
'name' => 'Spectral features',
'axes' => [
'accX'
],
'title' => 'Spectral Analysis',
'implementationVersion' => 123,
'valuesPerAxis' => 11,
'input' => 1,
'createdBy' => 'createImpulse',
'createdAt' => '2023-11-07T05:31:56Z',
'customUrl' => '<string>',
'namedAxes' => [
[
'name' => '<string>',
'description' => '<string>',
'required' => true,
'selectedAxis' => '<string>'
]
]
]
],
'learnBlocks' => [
[
'id' => 2,
'name' => 'NN Classifier',
'dsp' => [
27
],
'title' => 'Classification (Keras)',
'createdBy' => 'createImpulse',
'createdAt' => '2023-11-07T05:31:56Z'
]
],
'name' => '<string>',
'postProcessingBlocks' => [
[
'id' => 2,
'type' => 'object-tracking',
'name' => 'Object tracking',
'title' => 'Object tracking',
'implementationVersion' => 123,
'createdBy' => 'createImpulse',
'createdAt' => '2023-11-07T05:31:56Z'
]
],
'datasetVersionId' => 123
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://studio.edgeimpulse.com/v1/api/{projectId}/impulse"
payload := strings.NewReader("{\n \"inputBlocks\": [\n {\n \"id\": 2,\n \"type\": \"time-series\",\n \"name\": \"Time series\",\n \"title\": \"Time series\",\n \"axes\": [\n \"accX\"\n ],\n \"windowSizeMs\": 2004,\n \"windowIncreaseMs\": 123,\n \"frequencyHz\": 60,\n \"classificationWindowIncreaseMs\": 123,\n \"padZeros\": true,\n \"imageWidth\": 28,\n \"imageHeight\": 28,\n \"resizeMode\": \"squash\",\n \"resizeMethod\": \"squash\",\n \"cropAnchor\": \"middle-center\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"dspBlocks\": [\n {\n \"id\": 2,\n \"type\": \"spectral-analysis\",\n \"name\": \"Spectral features\",\n \"axes\": [\n \"accX\"\n ],\n \"title\": \"Spectral Analysis\",\n \"implementationVersion\": 123,\n \"valuesPerAxis\": 11,\n \"input\": 1,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"customUrl\": \"<string>\",\n \"namedAxes\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"required\": true,\n \"selectedAxis\": \"<string>\"\n }\n ]\n }\n ],\n \"learnBlocks\": [\n {\n \"id\": 2,\n \"name\": \"NN Classifier\",\n \"dsp\": [\n 27\n ],\n \"title\": \"Classification (Keras)\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"name\": \"<string>\",\n \"postProcessingBlocks\": [\n {\n \"id\": 2,\n \"type\": \"object-tracking\",\n \"name\": \"Object tracking\",\n \"title\": \"Object tracking\",\n \"implementationVersion\": 123,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"datasetVersionId\": 123\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://studio.edgeimpulse.com/v1/api/{projectId}/impulse")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"inputBlocks\": [\n {\n \"id\": 2,\n \"type\": \"time-series\",\n \"name\": \"Time series\",\n \"title\": \"Time series\",\n \"axes\": [\n \"accX\"\n ],\n \"windowSizeMs\": 2004,\n \"windowIncreaseMs\": 123,\n \"frequencyHz\": 60,\n \"classificationWindowIncreaseMs\": 123,\n \"padZeros\": true,\n \"imageWidth\": 28,\n \"imageHeight\": 28,\n \"resizeMode\": \"squash\",\n \"resizeMethod\": \"squash\",\n \"cropAnchor\": \"middle-center\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"dspBlocks\": [\n {\n \"id\": 2,\n \"type\": \"spectral-analysis\",\n \"name\": \"Spectral features\",\n \"axes\": [\n \"accX\"\n ],\n \"title\": \"Spectral Analysis\",\n \"implementationVersion\": 123,\n \"valuesPerAxis\": 11,\n \"input\": 1,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"customUrl\": \"<string>\",\n \"namedAxes\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"required\": true,\n \"selectedAxis\": \"<string>\"\n }\n ]\n }\n ],\n \"learnBlocks\": [\n {\n \"id\": 2,\n \"name\": \"NN Classifier\",\n \"dsp\": [\n 27\n ],\n \"title\": \"Classification (Keras)\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"name\": \"<string>\",\n \"postProcessingBlocks\": [\n {\n \"id\": 2,\n \"type\": \"object-tracking\",\n \"name\": \"Object tracking\",\n \"title\": \"Object tracking\",\n \"implementationVersion\": 123,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"datasetVersionId\": 123\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://studio.edgeimpulse.com/v1/api/{projectId}/impulse")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"inputBlocks\": [\n {\n \"id\": 2,\n \"type\": \"time-series\",\n \"name\": \"Time series\",\n \"title\": \"Time series\",\n \"axes\": [\n \"accX\"\n ],\n \"windowSizeMs\": 2004,\n \"windowIncreaseMs\": 123,\n \"frequencyHz\": 60,\n \"classificationWindowIncreaseMs\": 123,\n \"padZeros\": true,\n \"imageWidth\": 28,\n \"imageHeight\": 28,\n \"resizeMode\": \"squash\",\n \"resizeMethod\": \"squash\",\n \"cropAnchor\": \"middle-center\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"dspBlocks\": [\n {\n \"id\": 2,\n \"type\": \"spectral-analysis\",\n \"name\": \"Spectral features\",\n \"axes\": [\n \"accX\"\n ],\n \"title\": \"Spectral Analysis\",\n \"implementationVersion\": 123,\n \"valuesPerAxis\": 11,\n \"input\": 1,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"customUrl\": \"<string>\",\n \"namedAxes\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"required\": true,\n \"selectedAxis\": \"<string>\"\n }\n ]\n }\n ],\n \"learnBlocks\": [\n {\n \"id\": 2,\n \"name\": \"NN Classifier\",\n \"dsp\": [\n 27\n ],\n \"title\": \"Classification (Keras)\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"name\": \"<string>\",\n \"postProcessingBlocks\": [\n {\n \"id\": 2,\n \"type\": \"object-tracking\",\n \"name\": \"Object tracking\",\n \"title\": \"Object tracking\",\n \"implementationVersion\": 123,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"datasetVersionId\": 123\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"id": 123,
"error": "<string>"
}Create impulse
Sets the impulse for this project. If you specify impulseId then that impulse is created/updated, otherwise the default impulse is created/updated.
POST
/
api
/
{projectId}
/
impulse
Create impulse
curl --request POST \
--url https://studio.edgeimpulse.com/v1/api/{projectId}/impulse \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"inputBlocks": [
{
"id": 2,
"type": "time-series",
"name": "Time series",
"title": "Time series",
"axes": [
"accX"
],
"windowSizeMs": 2004,
"windowIncreaseMs": 123,
"frequencyHz": 60,
"classificationWindowIncreaseMs": 123,
"padZeros": true,
"imageWidth": 28,
"imageHeight": 28,
"resizeMode": "squash",
"resizeMethod": "squash",
"cropAnchor": "middle-center",
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"dspBlocks": [
{
"id": 2,
"type": "spectral-analysis",
"name": "Spectral features",
"axes": [
"accX"
],
"title": "Spectral Analysis",
"implementationVersion": 123,
"valuesPerAxis": 11,
"input": 1,
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z",
"customUrl": "<string>",
"namedAxes": [
{
"name": "<string>",
"description": "<string>",
"required": true,
"selectedAxis": "<string>"
}
]
}
],
"learnBlocks": [
{
"id": 2,
"name": "NN Classifier",
"dsp": [
27
],
"title": "Classification (Keras)",
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"name": "<string>",
"postProcessingBlocks": [
{
"id": 2,
"type": "object-tracking",
"name": "Object tracking",
"title": "Object tracking",
"implementationVersion": 123,
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"datasetVersionId": 123
}
'import requests
url = "https://studio.edgeimpulse.com/v1/api/{projectId}/impulse"
payload = {
"inputBlocks": [
{
"id": 2,
"type": "time-series",
"name": "Time series",
"title": "Time series",
"axes": ["accX"],
"windowSizeMs": 2004,
"windowIncreaseMs": 123,
"frequencyHz": 60,
"classificationWindowIncreaseMs": 123,
"padZeros": True,
"imageWidth": 28,
"imageHeight": 28,
"resizeMode": "squash",
"resizeMethod": "squash",
"cropAnchor": "middle-center",
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"dspBlocks": [
{
"id": 2,
"type": "spectral-analysis",
"name": "Spectral features",
"axes": ["accX"],
"title": "Spectral Analysis",
"implementationVersion": 123,
"valuesPerAxis": 11,
"input": 1,
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z",
"customUrl": "<string>",
"namedAxes": [
{
"name": "<string>",
"description": "<string>",
"required": True,
"selectedAxis": "<string>"
}
]
}
],
"learnBlocks": [
{
"id": 2,
"name": "NN Classifier",
"dsp": [27],
"title": "Classification (Keras)",
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"name": "<string>",
"postProcessingBlocks": [
{
"id": 2,
"type": "object-tracking",
"name": "Object tracking",
"title": "Object tracking",
"implementationVersion": 123,
"createdBy": "createImpulse",
"createdAt": "2023-11-07T05:31:56Z"
}
],
"datasetVersionId": 123
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
inputBlocks: [
{
id: 2,
type: 'time-series',
name: 'Time series',
title: 'Time series',
axes: ['accX'],
windowSizeMs: 2004,
windowIncreaseMs: 123,
frequencyHz: 60,
classificationWindowIncreaseMs: 123,
padZeros: true,
imageWidth: 28,
imageHeight: 28,
resizeMode: 'squash',
resizeMethod: 'squash',
cropAnchor: 'middle-center',
createdBy: 'createImpulse',
createdAt: '2023-11-07T05:31:56Z'
}
],
dspBlocks: [
{
id: 2,
type: 'spectral-analysis',
name: 'Spectral features',
axes: ['accX'],
title: 'Spectral Analysis',
implementationVersion: 123,
valuesPerAxis: 11,
input: 1,
createdBy: 'createImpulse',
createdAt: '2023-11-07T05:31:56Z',
customUrl: '<string>',
namedAxes: [
{
name: '<string>',
description: '<string>',
required: true,
selectedAxis: '<string>'
}
]
}
],
learnBlocks: [
{
id: 2,
name: 'NN Classifier',
dsp: [27],
title: 'Classification (Keras)',
createdBy: 'createImpulse',
createdAt: '2023-11-07T05:31:56Z'
}
],
name: '<string>',
postProcessingBlocks: [
{
id: 2,
type: 'object-tracking',
name: 'Object tracking',
title: 'Object tracking',
implementationVersion: 123,
createdBy: 'createImpulse',
createdAt: '2023-11-07T05:31:56Z'
}
],
datasetVersionId: 123
})
};
fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/impulse', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://studio.edgeimpulse.com/v1/api/{projectId}/impulse",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'inputBlocks' => [
[
'id' => 2,
'type' => 'time-series',
'name' => 'Time series',
'title' => 'Time series',
'axes' => [
'accX'
],
'windowSizeMs' => 2004,
'windowIncreaseMs' => 123,
'frequencyHz' => 60,
'classificationWindowIncreaseMs' => 123,
'padZeros' => true,
'imageWidth' => 28,
'imageHeight' => 28,
'resizeMode' => 'squash',
'resizeMethod' => 'squash',
'cropAnchor' => 'middle-center',
'createdBy' => 'createImpulse',
'createdAt' => '2023-11-07T05:31:56Z'
]
],
'dspBlocks' => [
[
'id' => 2,
'type' => 'spectral-analysis',
'name' => 'Spectral features',
'axes' => [
'accX'
],
'title' => 'Spectral Analysis',
'implementationVersion' => 123,
'valuesPerAxis' => 11,
'input' => 1,
'createdBy' => 'createImpulse',
'createdAt' => '2023-11-07T05:31:56Z',
'customUrl' => '<string>',
'namedAxes' => [
[
'name' => '<string>',
'description' => '<string>',
'required' => true,
'selectedAxis' => '<string>'
]
]
]
],
'learnBlocks' => [
[
'id' => 2,
'name' => 'NN Classifier',
'dsp' => [
27
],
'title' => 'Classification (Keras)',
'createdBy' => 'createImpulse',
'createdAt' => '2023-11-07T05:31:56Z'
]
],
'name' => '<string>',
'postProcessingBlocks' => [
[
'id' => 2,
'type' => 'object-tracking',
'name' => 'Object tracking',
'title' => 'Object tracking',
'implementationVersion' => 123,
'createdBy' => 'createImpulse',
'createdAt' => '2023-11-07T05:31:56Z'
]
],
'datasetVersionId' => 123
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://studio.edgeimpulse.com/v1/api/{projectId}/impulse"
payload := strings.NewReader("{\n \"inputBlocks\": [\n {\n \"id\": 2,\n \"type\": \"time-series\",\n \"name\": \"Time series\",\n \"title\": \"Time series\",\n \"axes\": [\n \"accX\"\n ],\n \"windowSizeMs\": 2004,\n \"windowIncreaseMs\": 123,\n \"frequencyHz\": 60,\n \"classificationWindowIncreaseMs\": 123,\n \"padZeros\": true,\n \"imageWidth\": 28,\n \"imageHeight\": 28,\n \"resizeMode\": \"squash\",\n \"resizeMethod\": \"squash\",\n \"cropAnchor\": \"middle-center\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"dspBlocks\": [\n {\n \"id\": 2,\n \"type\": \"spectral-analysis\",\n \"name\": \"Spectral features\",\n \"axes\": [\n \"accX\"\n ],\n \"title\": \"Spectral Analysis\",\n \"implementationVersion\": 123,\n \"valuesPerAxis\": 11,\n \"input\": 1,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"customUrl\": \"<string>\",\n \"namedAxes\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"required\": true,\n \"selectedAxis\": \"<string>\"\n }\n ]\n }\n ],\n \"learnBlocks\": [\n {\n \"id\": 2,\n \"name\": \"NN Classifier\",\n \"dsp\": [\n 27\n ],\n \"title\": \"Classification (Keras)\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"name\": \"<string>\",\n \"postProcessingBlocks\": [\n {\n \"id\": 2,\n \"type\": \"object-tracking\",\n \"name\": \"Object tracking\",\n \"title\": \"Object tracking\",\n \"implementationVersion\": 123,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"datasetVersionId\": 123\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://studio.edgeimpulse.com/v1/api/{projectId}/impulse")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"inputBlocks\": [\n {\n \"id\": 2,\n \"type\": \"time-series\",\n \"name\": \"Time series\",\n \"title\": \"Time series\",\n \"axes\": [\n \"accX\"\n ],\n \"windowSizeMs\": 2004,\n \"windowIncreaseMs\": 123,\n \"frequencyHz\": 60,\n \"classificationWindowIncreaseMs\": 123,\n \"padZeros\": true,\n \"imageWidth\": 28,\n \"imageHeight\": 28,\n \"resizeMode\": \"squash\",\n \"resizeMethod\": \"squash\",\n \"cropAnchor\": \"middle-center\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"dspBlocks\": [\n {\n \"id\": 2,\n \"type\": \"spectral-analysis\",\n \"name\": \"Spectral features\",\n \"axes\": [\n \"accX\"\n ],\n \"title\": \"Spectral Analysis\",\n \"implementationVersion\": 123,\n \"valuesPerAxis\": 11,\n \"input\": 1,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"customUrl\": \"<string>\",\n \"namedAxes\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"required\": true,\n \"selectedAxis\": \"<string>\"\n }\n ]\n }\n ],\n \"learnBlocks\": [\n {\n \"id\": 2,\n \"name\": \"NN Classifier\",\n \"dsp\": [\n 27\n ],\n \"title\": \"Classification (Keras)\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"name\": \"<string>\",\n \"postProcessingBlocks\": [\n {\n \"id\": 2,\n \"type\": \"object-tracking\",\n \"name\": \"Object tracking\",\n \"title\": \"Object tracking\",\n \"implementationVersion\": 123,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"datasetVersionId\": 123\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://studio.edgeimpulse.com/v1/api/{projectId}/impulse")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"inputBlocks\": [\n {\n \"id\": 2,\n \"type\": \"time-series\",\n \"name\": \"Time series\",\n \"title\": \"Time series\",\n \"axes\": [\n \"accX\"\n ],\n \"windowSizeMs\": 2004,\n \"windowIncreaseMs\": 123,\n \"frequencyHz\": 60,\n \"classificationWindowIncreaseMs\": 123,\n \"padZeros\": true,\n \"imageWidth\": 28,\n \"imageHeight\": 28,\n \"resizeMode\": \"squash\",\n \"resizeMethod\": \"squash\",\n \"cropAnchor\": \"middle-center\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"dspBlocks\": [\n {\n \"id\": 2,\n \"type\": \"spectral-analysis\",\n \"name\": \"Spectral features\",\n \"axes\": [\n \"accX\"\n ],\n \"title\": \"Spectral Analysis\",\n \"implementationVersion\": 123,\n \"valuesPerAxis\": 11,\n \"input\": 1,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\",\n \"customUrl\": \"<string>\",\n \"namedAxes\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"required\": true,\n \"selectedAxis\": \"<string>\"\n }\n ]\n }\n ],\n \"learnBlocks\": [\n {\n \"id\": 2,\n \"name\": \"NN Classifier\",\n \"dsp\": [\n 27\n ],\n \"title\": \"Classification (Keras)\",\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"name\": \"<string>\",\n \"postProcessingBlocks\": [\n {\n \"id\": 2,\n \"type\": \"object-tracking\",\n \"name\": \"Object tracking\",\n \"title\": \"Object tracking\",\n \"implementationVersion\": 123,\n \"createdBy\": \"createImpulse\",\n \"createdAt\": \"2023-11-07T05:31:56Z\"\n }\n ],\n \"datasetVersionId\": 123\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"id": 123,
"error": "<string>"
}Authorizations
ApiKeyAuthenticationJWTAuthenticationJWTHttpHeaderAuthenticationOAuth2
Path Parameters
Project ID
Query Parameters
Impulse ID. If this is unset then the default impulse is used.
Body
application/json
Input Blocks that are part of this impulse
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DSP Blocks that are part of this impulse
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Learning Blocks that are part of this impulse
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Name for this impulse (optional). If no name is provided one is created based on your blocks.
Post-processing blocks that are part of this impulse
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Specifies the type of impulse. Options include: - default: Standard Edge Impulse pipeline. - BYOM: Impulse that includes a pretrained model. - VLM: Impulse created as part of a Vision Learning Model (VLM) workflow.
Available options:
default, BYOM, VLM EXPERIMENTAL. Lock an impulse to an immutable snapshot of a dataset. Feature generation, model training, and deployment from this impulse will always use that snapshot, ensuring reproducible results. If omitted, your current mutable dataset is used instead which doesn't provide the same reproducibility guarantees. This property is experimental, is only supported when the dataset versioning experiment is enabled, and may change in the future.
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