NAV
ImageUpscalerAI.com
shell python php javascript C#

Увод

Добродошли у АПИ платформе ИмагеУпсцалерАИ.цом!

Свака функција је дизајнирана да помогне нашим корисницима да лакше унапреде слике помоћу вештачке интелигенције на систему ИмагеУпсцалерАИ.цом.

Да бисте добили свој АПИ кључ, идите на страницу налога .

Подразумевани основни УРЛ

Подразумевани основни УРЛ за ИмагеУпсцалерАИ.цом АПИ је: хттпс: //апи.имагеупсцалераи.цом/в1/

Напомена: из безбедносних разлога, сви АПИ-ји ИмагеУпсцалерАИ.цом се сервирају само преко ХТТПС-а.

Овлашћење

Да бисте користили ИмагеУпсцалерАИ.цом АПИ, биће вам потребан АПИ кључ који је повезан са вашим налогом .

Вредност ауторизације треба послати у захтеву заглавља.

Authorization: <api_key>

Имаге Упсцалер

 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))
Упсцале слика

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


Резултат

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);
        }
    }
}

Одговор

/path/to/local/result.jpg

ХТТП захтев

POST /image-upscale/

Параметри упита

Параметар Тип Опис Пример
files Потребан Датотека коју желите да повећате. test.jpeg