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ImageUpscalerAI.com
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परिचय

ImageUpscalerAI.com प्लेटफ़ॉर्म एपीआई में आपका स्वागत है!

प्रत्येक सुविधा को हमारे उपयोगकर्ताओं को ImageUpscalerAI.com के सिस्टम पर AI के साथ छवियों को अधिक आसानी से बेहतर बनाने में मदद करने के लिए डिज़ाइन किया गया है।

अपनी एपीआई कुंजी प्राप्त करने के लिए कृपया खाता पृष्ठ पर जाएं।

डिफ़ॉल्ट आधार URL

ImageUpscalerAI.com API के लिए डिफ़ॉल्ट आधार URL है: https://api.imageupscalerai.com/v1/

नोट: सुरक्षा कारणों से, सभी ImageUpscalerAI.com API केवल HTTPS पर परोसे जाते हैं।

प्राधिकार

ImageUpscalerAI.com API का उपयोग करने के लिए, आपको API कुंजी की आवश्यकता होगी जो आपके खाते से जुड़ी हो।

प्राधिकरण मूल्य हेडर अनुरोध में भेजा जाना चाहिए।

Authorization: <api_key>

छवि अपस्केलर

 import requests
import time
import shutil
import json

headers = {"Authorization": "api_key"}
params = {}
file_path = "path/to/test.jpeg"
base_api_url = "https://api.imageupscalerai.com"
api_url = f"{base_api_url}/v1"


def download_file(url, local_filename):
    url = f"{base_api_url}/{url}"
    with requests.get(url, stream=True) as r:
        with open(local_filename, "wb") as f:
            shutil.copyfileobj(r.raw, f)
    return local_filename


def convert_files(api_url, params, headers):
    files = [eval(f'("files", open("{file_path}", "rb"))')]
    r = requests.post(
        url=f"{api_url}/image-upscale/",
        files=files,
        data=params,
        headers=headers
    )
    return r.json()


def get_results(params):
    if params.get("error"):
        print(params)
        return

    r = requests.post(
        url=f"{api_url}/results/",
        data=params
    )
    data = r.json()
    finished = data.get("finished")

    while not finished:
        if int(data.get("queue_count")) > 0:
            print("queue: %s" % data.get("queue_count"))

        time.sleep(5)
        results = get_results(params)
        results = json.dumps(results)

        if results:
            break

    if finished:
        for f in data.get("files"):
            print(f.get("url"))
            download_file("%s" % f.get("url"), "%s" % f.get("filename"))
        return {"finished": "files downloaded"}
    return r.json()


get_results(convert_files(api_url, params, headers))
उत्कृष्ट छवि

curl -X POST \
  https://api.imageupscalerai.com/v1/image-upscale/ \
  -H 'Authorization: api_key' \
  -F 'files=@test_files/test.jpeg'


परिणाम

curl -X POST \
  https://api.imageupscalerai.com/v1/results/ \
  -F 'uuid=response_uuid'
<?php
ini_set('display_errors', 1);
ini_set('display_startup_errors', 1);
error_reporting(E_ERROR | E_PARSE);

$headers = array("Authorization: api_key");
$file_list = ['/test_files/test.jpeg'];
$api_url = "https://api.imageupscalerai.com/v1/image-upscale/";
$results_url = "https://api.imageupscalerai.com/v1/results/";

function download_file($url, $filename){
    $curl = curl_init();
    $url = "https://api.imageupscalerai.com" . $url;
    curl_setopt($curl, CURLOPT_URL, $url);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
    curl_setopt($curl, CURLOPT_SSLVERSION, 3);
    $data = curl_exec($curl);
    $error = curl_error($curl);
    curl_close ($curl);
    # Make sure destionation path exists
    $destination_path = "/path/to/result/files/";
    $destination_file = fopen($destination_path . $filename, "w+");
    fwrite($destination_file, $data);
    fclose($destination_file);
}

function convert_files($file_list, $headers, $api_url) {
    foreach ($file_list as $index => $file) {
        $post_data['file[' . $index . ']'] = curl_file_create(
            realpath($file),
            mime_content_type($file),
            basename($file)
        );
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $api_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, $post_data);
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = curl_exec($curl);
    curl_close($curl);

    return json_decode($content);
}

function get_results($params, $results_url, $headers) {
    if ($params->error) {
        print_r($params->error);
        return;
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $results_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, json_decode(json_encode($params), true));
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = json_decode(curl_exec($curl));
    curl_close($curl);

    if ($content->finished == false) {
        if (intval($content->queue_count) > 0) {
            print_r("queue: $content->queue_count");
        }

        sleep(5);
        $results = get_results($params, $results_url, $headers);
        return;
    }

    foreach ($content->files as $f) {
        download_file($f->url, $f->filename);
    }
}

$resp = convert_files($file_list, $headers, $api_url);
get_results($resp, $results_url, $headers);
?>
const request = require('request');
const fs = require('fs');

let file_list = ['/test_files/test.jpeg']
const api_url = 'https://api.imageupscalerai.com/v1/image-upscale/'
const results_url = 'https://api.imageupscalerai.com/v1/results/'

function convertFiles(file_list) {
    let formData = {};

    for (var i = 0; i < file_list.length; i++) {
        formData['files'] = fs.createReadStream(file_list[i]);
    }

    request({
        url: api_url,
        method: 'post',
        formData: formData,
        headers: {
            "Authorization": "api_key",
            "Content-Type": "multipart/form-data",
        }
    }, function (err, res, body) {
        if (err) {
            console.error(err);
            return err;
        }
        getResults(JSON.parse(body));
    });
}

function getResults(data) {
    if (data.error) {
        console.error(data);
        return data.error;
    }
    request({
        url: results_url,
        method: 'post',
        formData: data
    }, function (e, r, body) {
        response = JSON.parse(body);
        console.log(response);
        if (!response.finished) {
            setTimeout(
                function () {
                    getResults(data);
                }, 1000
            );
        }

        console.log(response);
    })
}

convertFiles(file_list);
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
using Newtonsoft.Json;

class Program
{
    static readonly HttpClient client = new HttpClient();

    static async Task Main()
    {
        client.DefaultRequestHeaders.Add("Authorization", "api_key");

        // Upload image for upscaling
        var form = new MultipartFormDataContent();
        form.Add(new ByteArrayContent(
            File.ReadAllBytes("/path/to/test.jpeg")),
            "files",
            "test.jpeg"
        );

        var response = await client.PostAsync(
            "https://api.imageupscalerai.com/v1/image-upscale/",
            form
        );
        var result = await response.Content.ReadAsStringAsync();
        var data = JsonConvert.DeserializeObject<dynamic>(result);

        // Poll for results
        while (!(bool)data.finished)
        {
            await Task.Delay(5000);
            var pollContent = new FormUrlEncodedContent(new[] {
                new KeyValuePair<string, string>("uuid", (string)data.uuid)
            });
            response = await client.PostAsync(
                "https://api.imageupscalerai.com/v1/results/",
                pollContent
            );
            result = await response.Content.ReadAsStringAsync();
            data = JsonConvert.DeserializeObject<dynamic>(result);
        }

        foreach (var file in data.files)
        {
            Console.WriteLine(file.url);
        }
    }
}

जवाब

/path/to/local/result.jpg

HTTP अनुरोध

POST /image-upscale/

क्वेरी पैरामीटर

पैरामीटर प्रकार विवरण उदाहरण
files आवश्यक वह फ़ाइल जिसे आप अपग्रेड करना चाहते हैं. test.jpeg