परिचय
ImageUpscalerAI.com प्लेटफर्म API मा स्वागत छ!
प्रत्येक सुविधा हाम्रा प्रयोगकर्ताहरूलाई ImageUpscalerAI.com को प्रणालीमा AI मार्फत अझ सजिलै माथिका छविहरूलाई मद्दत गर्न डिजाइन गरिएको हो।
आफ्नो API कुञ्जी प्राप्त गर्न कृपया खाता पृष्ठमा जानुहोस्।
पूर्वनिर्धारित आधार URL
ImageUpscalerAI.com API को लागि पूर्वनिर्धारित आधार URL हो: https://api.imageupscalerai.com/v1/
नोट: सुरक्षा कारणहरूको लागि, सबै ImageUpscalerAI.com API हरू HTTPS मा मात्र सेवा गरिन्छ।
प्राधिकरण
ImageUpscalerAI.com API प्रयोग गर्न, तपाइँलाई तपाइँको खातामा लिङ्क गरिएको API कुञ्जी चाहिन्छ।
प्राधिकरण मान हेडर अनुरोधमा पठाउनुपर्छ।
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))
अपस्केल छवि
curl -X POST \
https://api.imageupscalerai.com/v1/image-upscale/ \
-H 'Authorization: api_key' \
-F 'files=@test_files/test.jpeg'
नतिजा
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);
प्रतिक्रिया
/path/to/local/result.jpg
HTTP अनुरोध
POST /image-upscale/
क्वेरी प्यारामिटरहरू
प्यारामिटर | टाइप गर्नुहोस् | विवरण | उदाहरण |
---|---|---|---|
files | आवश्यक छ | तपाईंले अपस्केल गर्न चाहनुभएको फाइल। | test.jpeg |