Using REST API by uploading image file:
For image/uploaded image classification use this endpoint: [login to view URL]
Set the "X-Auth-token" header to your API token string and set "Content-Type" header to "application/octet-stream". Set the body to your image file.
API Token: alnei6pptg9hvs1j2nvte4imbc
Project ID is 281
Model name is sl-classification-model-2
<!DOCTYPE html>
<html lang="en" dir="ltr">
<head>
<meta charset="utf-8">
<title>Sample</title>
<script type="text/javascript">
const baseApiURL = '[login to view URL]';
var token = '';
var predictionId;
var results;
function predict() {
token = [login to view URL]('tokenfield').value;
const projectId = [login to view URL]('project').value;
const modelName = [login to view URL]('model').value;
var input = [login to view URL]('upload');
const file = [login to view URL][0];
var fr = new FileReader();
[login to view URL] = function() {
results = [login to view URL](apiPostRequest('predict/' + projectId + '/' + modelName, [login to view URL]));
[login to view URL](results);
}
[login to view URL](file);
}
function apiPostRequest(request, body) {
var xmlHttp = new XMLHttpRequest();
[login to view URL]( "POST", baseApiURL + request, false );
[login to view URL]('Content-Type', 'application/octet-stream');
[login to view URL]('X-Auth-token', token);
[login to view URL](body);
[login to view URL]([login to view URL]);
return [login to view URL];
}
</script>
</head>
<body>
Token: <input id="tokenfield" type="text" name="" value="">
<br>
Project id: <input id="project" type="number" name="" value="">
<br>
Model name: <input id="model" type="text" name="" value="">
<br>
Upload image: <input id="upload" type="file" name="" value="">
<br>
<button type="button" onclick="predict()">Predict</button>
<br>
</body>
</html>
Hi there! I can deliver you this solution quickly! it looks like you only need bro compile that information your provided and do some adjustments.
Best Regards
$30 AUD v 1 dnevu
5,0 (18 ocen)
5,4
5,4
2 freelancerjev je oddalo ponudbo s povprečno vrednostjo $215 AUD za to delo