+ To perform an image classfication please follow the example bellow:
+
{@html hljs.highlight(
+ `let form = new FormData();
+form.append('json_data', JSON.stringify({ id: '${model.id}' }));
+form.append('file', file, 'file');
-
- 
- Upload image
-
- Image selected
-
-
-
-
-
- {#if run}
- {#await _result}
-
- Processing Image!
-
- {:then result}
- {#if result.status == 4}
- {@const res = JSON.parse(result.result)}
-
-
Result
- The image was classified as {res.class} with confidence: {res.confidence}
-
- {:else}
-
-
There was a problem running the task:
- {result?.status_message}
-
+const headers = new Headers();
+headers.append('response-type', 'application/json');
+headers.append('token', token);
+
+const r = await fetch('${window.location.protocol}//${window.location.hostname}/api/tasks/start/image', {
+ method: 'POST',
+ headers: headers,
+ body: form
+});`,
+ { language: 'javascript' }
+ ).value}
+ On Success the request will return a json with this format:
+
{@html hljs.highlight(
+ `{ id "00000000-0000-0000-0000-000000000000" }`,
+ { language: 'json' }
+ ).value}
+ This id can be used to query the API for the result of the task:
+
{@html hljs.highlight(
+ `const headers = new Headers();
+headers.append('content-type', 'application/json');
+headers.append('token', token);
+
+const r = await fetch('${window.location.protocol}//${window.location.hostname}/api/tasks/task', {
+ method: 'POST',
+ headers: headers,
+ body: JSON.stringify({ id: '00000000-0000-0000-0000-000000000000' })
+});`,
+ { language: 'javascript' }
+ ).value}
+ Once the task shows the status as 4 then the data can be obatined in the result field: The successful
+ return value has this type:
+
{@html hljs.highlight(
+ `{
+ "id": string,
+ "user_id": string,
+ "model_id": string,
+ "status": number,
+ "status_message": string,
+ "user_confirmed": number,
+ "compacted": number,
+ "type": number,
+ "extra_task_info": string,
+ "result": string,
+ "created": string
+}`,
+ { language: 'javascript' }
+ ).value}
+