ਜਾਣ-ਪਛਾਣ
ImageUpscalerAI.com ਪਲੇਟਫਾਰਮ API ਵਿੱਚ ਤੁਹਾਡਾ ਸੁਆਗਤ ਹੈ!
ਹਰੇਕ ਵਿਸ਼ੇਸ਼ਤਾ ਨੂੰ ਸਾਡੇ ਉਪਭੋਗਤਾਵਾਂ ਨੂੰ ImageUpscalerAI.com ਦੇ ਸਿਸਟਮ 'ਤੇ AI ਨਾਲ ਚਿੱਤਰਾਂ ਨੂੰ ਹੋਰ ਆਸਾਨੀ ਨਾਲ ਉੱਚਾ ਚੁੱਕਣ ਵਿੱਚ ਮਦਦ ਕਰਨ ਲਈ ਤਿਆਰ ਕੀਤਾ ਗਿਆ ਹੈ।
ਆਪਣੀ API ਕੁੰਜੀ ਪ੍ਰਾਪਤ ਕਰਨ ਲਈ ਕਿਰਪਾ ਕਰਕੇ ਖਾਤਾ ਪੰਨੇ ' ਤੇ ਜਾਓ।
ਡਿਫੌਲਟ ਬੇਸ URL
ImageUpscalerAI.com API ਲਈ ਡਿਫੌਲਟ ਅਧਾਰ URL ਹੈ: https://api.imageupscalerai.com/v1/
ਨੋਟ: ਸੁਰੱਖਿਆ ਕਾਰਨਾਂ ਕਰਕੇ, ਸਾਰੇ ImageUpscalerAI.com API ਸਿਰਫ਼ HTTPS 'ਤੇ ਹੀ ਦਿੱਤੇ ਜਾਂਦੇ ਹਨ।
ਅਧਿਕਾਰ
ImageUpscalerAI.com API ਦੀ ਵਰਤੋਂ ਕਰਨ ਲਈ, ਤੁਹਾਨੂੰ API ਕੁੰਜੀ ਦੀ ਲੋੜ ਪਵੇਗੀ ਜੋ ਤੁਹਾਡੇ ਖਾਤੇ ਨਾਲ ਲਿੰਕ ਹੈ।
ਅਧਿਕਾਰ ਦਾ ਮੁੱਲ ਹੈਡਰ ਬੇਨਤੀ ਵਿੱਚ ਭੇਜਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ।
Authorization: <api_key>
ਚਿੱਤਰ ਅੱਪਸਕੇਲਰ
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))
ਅੱਪਸਕੇਲ ਚਿੱਤਰ
curl -X POST \
https://api.imageupscalerai.com/v1/image-upscale/ \
-H 'Authorization: api_key' \
-F 'files=@test_files/test.jpeg'
ਨਤੀਜਾ
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);
}
}
}
ਜਵਾਬ
/path/to/local/result.jpg
HTTP ਬੇਨਤੀ
POST /image-upscale/
ਪੁੱਛਗਿੱਛ ਪੈਰਾਮੀਟਰ
| ਪੈਰਾਮੀਟਰ | ਟਾਈਪ ਕਰੋ | ਵਰਣਨ | ਉਦਾਹਰਨ |
|---|---|---|---|
| files | ਲੋੜੀਂਦਾ ਹੈ | ਉਹ ਫਾਈਲ ਜਿਸਨੂੰ ਤੁਸੀਂ ਅਪਸਕੇਲ ਕਰਨਾ ਚਾਹੁੰਦੇ ਹੋ। | test.jpeg |