Extract features from images

const job = await client.vision.extract(['TextDetection', 'AssetTagDetection', 'PeopleDetection'], [{ fileId: 1234 }]);

from cognite.client.data_classes.contextualization import VisionFeature
extract_job = client.vision.extract(features=VisionFeature.ASSET_TAG_DETECTION, file_ids=[1])
extract_job.wait_for_completion()
for item in extract_job.items:
    predictions = item.predictions
    # do something with the predictions
extract_job.save_predictions()

curl --request POST \
  --url https://{cluster}.cognitedata.com/api/v1/projects/{project}/context/vision/extract \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "items": [
    {
      "fileId": 1234
    }
  ],
  "features": [
    "TextDetection",
    "AssetTagDetection",
    "PeopleDetection"
  ],
  "parameters": {
    "textDetectionParameters": {
      "threshold": 0.8
    },
    "assetTagDetectionParameters": {
      "threshold": 0.8,
      "partialMatch": true,
      "assetSubtreeIds": [
        1,
        2
      ]
    },
    "peopleDetectionParameters": {
      "threshold": 0.8
    }
  }
}
'

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://{cluster}.cognitedata.com/api/v1/projects/{project}/context/vision/extract",
  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([
    'items' => [
        [
                'fileId' => 1234
        ]
    ],
    'features' => [
        'TextDetection',
        'AssetTagDetection',
        'PeopleDetection'
    ],
    'parameters' => [
        'textDetectionParameters' => [
                'threshold' => 0.8
        ],
        'assetTagDetectionParameters' => [
                'threshold' => 0.8,
                'partialMatch' => true,
                'assetSubtreeIds' => [
                                1,
                                2
                ]
        ],
        'peopleDetectionParameters' => [
                'threshold' => 0.8
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($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://{cluster}.cognitedata.com/api/v1/projects/{project}/context/vision/extract"

	payload := strings.NewReader("{\n  \"items\": [\n    {\n      \"fileId\": 1234\n    }\n  ],\n  \"features\": [\n    \"TextDetection\",\n    \"AssetTagDetection\",\n    \"PeopleDetection\"\n  ],\n  \"parameters\": {\n    \"textDetectionParameters\": {\n      \"threshold\": 0.8\n    },\n    \"assetTagDetectionParameters\": {\n      \"threshold\": 0.8,\n      \"partialMatch\": true,\n      \"assetSubtreeIds\": [\n        1,\n        2\n      ]\n    },\n    \"peopleDetectionParameters\": {\n      \"threshold\": 0.8\n    }\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	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://{cluster}.cognitedata.com/api/v1/projects/{project}/context/vision/extract")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"items\": [\n    {\n      \"fileId\": 1234\n    }\n  ],\n  \"features\": [\n    \"TextDetection\",\n    \"AssetTagDetection\",\n    \"PeopleDetection\"\n  ],\n  \"parameters\": {\n    \"textDetectionParameters\": {\n      \"threshold\": 0.8\n    },\n    \"assetTagDetectionParameters\": {\n      \"threshold\": 0.8,\n      \"partialMatch\": true,\n      \"assetSubtreeIds\": [\n        1,\n        2\n      ]\n    },\n    \"peopleDetectionParameters\": {\n      \"threshold\": 0.8\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://{cluster}.cognitedata.com/api/v1/projects/{project}/context/vision/extract")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"items\": [\n    {\n      \"fileId\": 1234\n    }\n  ],\n  \"features\": [\n    \"TextDetection\",\n    \"AssetTagDetection\",\n    \"PeopleDetection\"\n  ],\n  \"parameters\": {\n    \"textDetectionParameters\": {\n      \"threshold\": 0.8\n    },\n    \"assetTagDetectionParameters\": {\n      \"threshold\": 0.8,\n      \"partialMatch\": true,\n      \"assetSubtreeIds\": [\n        1,\n        2\n      ]\n    },\n    \"peopleDetectionParameters\": {\n      \"threshold\": 0.8\n    }\n  }\n}"

response = http.request(request)
puts response.read_body

{
  "status": "Queued",
  "createdTime": 1730204346000,
  "startTime": 1730204346000,
  "statusTime": 1730204346000,
  "jobId": 123,
  "items": [
    {
      "fileId": 1234,
      "fileExternalId": "1234",
      "fileInstanceId": {
        "space": "space",
        "externalId": "externalId"
      }
    }
  ],
  "features": [
    "TextDetection",
    "AssetTagDetection",
    "PeopleDetection"
  ],
  "errorMessage": null,
  "parameters": {
    "textDetectionParameters": {
      "threshold": 0.8
    },
    "assetTagDetectionParameters": {
      "threshold": 0.8,
      "partialMatch": true,
      "assetSubtreeIds": [
        1,
        2
      ]
    },
    "peopleDetectionParameters": {
      "threshold": 0.8
    }
  }
}

{
  "error": {
    "code": 401,
    "message": "Could not authenticate.",
    "missing": [
      {}
    ],
    "duplicated": [
      {}
    ]
  }
}