Get slices items

curl --request GET \
  --url https://api.avala.ai/api/v1/slices/{owner_name}/{slice_slug}/items/{item_uid}/ \
  --header 'X-Avala-Api-Key: <api-key>'

import requests

url = "https://api.avala.ai/api/v1/slices/{owner_name}/{slice_slug}/items/{item_uid}/"

headers = {"X-Avala-Api-Key": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {'X-Avala-Api-Key': '<api-key>'}};

fetch('https://api.avala.ai/api/v1/slices/{owner_name}/{slice_slug}/items/{item_uid}/', 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://api.avala.ai/api/v1/slices/{owner_name}/{slice_slug}/items/{item_uid}/",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "X-Avala-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"
	"net/http"
	"io"
)

func main() {

	url := "https://api.avala.ai/api/v1/slices/{owner_name}/{slice_slug}/items/{item_uid}/"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("X-Avala-Api-Key", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.avala.ai/api/v1/slices/{owner_name}/{slice_slug}/items/{item_uid}/")
  .header("X-Avala-Api-Key", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.avala.ai/api/v1/slices/{owner_name}/{slice_slug}/items/{item_uid}/")

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

request = Net::HTTP::Get.new(url)
request["X-Avala-Api-Key"] = '<api-key>'

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

{
  "key": "<string>",
  "id": 123,
  "uid": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "dataset": "<string>",
  "dataset_owner_name": "<string>",
  "dataset_slug": "<string>",
  "url": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "gpu_texture_url": "<string>",
  "metadata": {},
  "thumbnails": [
    "<string>"
  ],
  "video_thumbnail": "<string>",
  "export_snippet": {},
  "annotations": {
    "nodes": [
      {
        "annotation_info": {
          "task_name": "<string>",
          "task_object": "<string>",
          "object_uuid": "<string>",
          "data": {}
        },
        "status": "<string>",
        "uid": "<string>",
        "project_index": 123,
        "children": "<array>",
        "annotator": {
          "username": "<string>",
          "uid": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
          "full_name": "<string>",
          "picture": "<string>"
        },
        "reviewer": {
          "username": "<string>",
          "uid": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
          "full_name": "<string>",
          "picture": "<string>"
        }
      }
    ],
    "projects": [
      {
        "name": "<string>",
        "uid": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
      }
    ]
  },
  "crop_data": {
    "crop_annotations_in_2d": [
      {
        "z": 123,
        "classes": [
          "<string>"
        ]
      }
    ],
    "crop_annotations_polygon_mask": [
      [
        123
      ]
    ],
    "where": "dataset"
  },
  "related_items": [
    {
      "sensor_id": "<string>",
      "sensor_index": 123,
      "uid": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
    }
  ],
  "related_sequence_uid": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "is_hidden": true,
  "masks_fingerprint": "<string>"
}