Introduction
ImageUpcalerAI.com платформа API'сине кош келиңиз!
Ар бир функция биздин колдонуучуларга ImageUpcalerAI.com системасында AI менен сүрөттөрдү оңой көтөрүүгө жардам берүү үчүн иштелип чыккан.
API ачкычыңызды алуу үчүн аккаунт бетине өтүңүз.
Демейки Негизги URL
ImageUpcalerAI.com API үчүн демейки базалык URL: https://api.imageupscalerai.com/v1/
Эскертүү: коопсуздук себептерден улам, бардык ImageUscalerAI.com API'лери HTTPS аркылуу гана тейленет.
Авторизация
ImageUpcalerAI.com API колдонуу үчүн, сизге каттоо эсебиңизге байланышкан API ачкычы керек болот.
Авторизация мааниси Headers сурамында жөнөтүлүшү керек.
Authorization: <api_key>
Image Upscaler
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))
Жогорку деңгээлдеги сүрөт
curl -X POST \
https://api.imageupscalerai.com/v1/image-upscale/ \
-H 'Authorization: api_key' \
-F 'files=@test_files/test.jpeg'
Жыйынтык
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);
}
}
}
Жооп
/path/to/local/result.jpg
HTTP өтүнүчү
POST /image-upscale/
Суроо параметрлери
| Параметр | Түр | Description | Мисал |
|---|---|---|---|
| files | Талап кылынат | Сиз жогорулаткыңыз келген файл. | test.jpeg |