Screenshots: detect

curl --request POST \
  --url https://argus.axilio.ai/api/v1/screenshots:detect \
  --header 'Content-Type: application/json' \
  --header 'X-Axilio-Api-Key: <api-key>' \
  --data '
{
  "image": "<string>",
  "confidence_threshold": 0.25,
  "inference_type": "combined",
  "nms_iou_threshold": 0.45,
  "ocr_engine": "free"
}
'

import requests

url = "https://argus.axilio.ai/api/v1/screenshots:detect"

payload = {
    "image": "<string>",
    "confidence_threshold": 0.25,
    "inference_type": "combined",
    "nms_iou_threshold": 0.45,
    "ocr_engine": "free"
}
headers = {
    "X-Axilio-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-Axilio-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    image: '<string>',
    confidence_threshold: 0.25,
    inference_type: 'combined',
    nms_iou_threshold: 0.45,
    ocr_engine: 'free'
  })
};

fetch('https://argus.axilio.ai/api/v1/screenshots:detect', 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://argus.axilio.ai/api/v1/screenshots:detect",
  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([
    'image' => '<string>',
    'confidence_threshold' => 0.25,
    'inference_type' => 'combined',
    'nms_iou_threshold' => 0.45,
    'ocr_engine' => 'free'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-Axilio-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://argus.axilio.ai/api/v1/screenshots:detect"

	payload := strings.NewReader("{\n  \"image\": \"<string>\",\n  \"confidence_threshold\": 0.25,\n  \"inference_type\": \"combined\",\n  \"nms_iou_threshold\": 0.45,\n  \"ocr_engine\": \"free\"\n}")

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

	req.Header.Add("X-Axilio-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://argus.axilio.ai/api/v1/screenshots:detect")
  .header("X-Axilio-Api-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"image\": \"<string>\",\n  \"confidence_threshold\": 0.25,\n  \"inference_type\": \"combined\",\n  \"nms_iou_threshold\": 0.45,\n  \"ocr_engine\": \"free\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://argus.axilio.ai/api/v1/screenshots:detect")

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

request = Net::HTTP::Post.new(url)
request["X-Axilio-Api-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"image\": \"<string>\",\n  \"confidence_threshold\": 0.25,\n  \"inference_type\": \"combined\",\n  \"nms_iou_threshold\": 0.45,\n  \"ocr_engine\": \"free\"\n}"

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

{
  "data": {
    "metadata": {
      "icon_detections_after_nms": 123,
      "icon_detections_before_nms": 123,
      "image_height": 123,
      "image_width": 123,
      "inference_time_ms": 123,
      "detect_ns": 123,
      "ocr_ns": 123,
      "queue_wait_ns": 123
    },
    "hash_result": {
      "ahash": "<string>",
      "dhash": "<string>",
      "phash": "<string>",
      "content_bounds": {
        "bottom_y": 123,
        "top_y": 123
      },
      "histogram": [
        [
          123
        ]
      ]
    },
    "icon_detections": [
      {
        "bbox": {
          "x1": 123,
          "x2": 123,
          "y1": 123,
          "y2": 123
        },
        "class_id": 123,
        "class_name": "<string>",
        "confidence": 0.5
      }
    ],
    "ocr_results": [
      {
        "bbox": {
          "x1": 123,
          "x2": 123,
          "y1": 123,
          "y2": 123
        },
        "confidence": 0.5,
        "text": "<string>"
      }
    ]
  },
  "analyzer_type": "all",
  "type": "analyzer_result"
}

{
  "code": "<string>",
  "detail": "<string>",
  "status": 123,
  "title": "<string>",
  "errors": [
    {}
  ],
  "type": "about:blank"
}

{
  "code": "<string>",
  "detail": "<string>",
  "status": 123,
  "title": "<string>",
  "errors": [
    {}
  ],
  "type": "about:blank"
}

{
  "code": "<string>",
  "detail": "<string>",
  "status": 123,
  "title": "<string>",
  "errors": [
    {}
  ],
  "type": "about:blank"
}

{
  "code": "<string>",
  "detail": "<string>",
  "status": 123,
  "title": "<string>",
  "errors": [
    {}
  ],
  "type": "about:blank"
}

{
  "code": "<string>",
  "detail": "<string>",
  "status": 123,
  "title": "<string>",
  "errors": [
    {}
  ],
  "type": "about:blank"
}

{
  "code": "<string>",
  "detail": "<string>",
  "status": 123,
  "title": "<string>",
  "errors": [
    {}
  ],
  "type": "about:blank"
}