Run this command to install the SDK:
npm install cloudmersive-image-api-client --save
Or add this snippet to your package.json:
"dependencies": { "cloudmersive-image-api-client": "^1.3.4" }
Run this command to install the SDK:
npm install cloudmersive-image-api-client --save
Or add this snippet to your package.json:
"dependencies": { "cloudmersive-image-api-client": "^1.3.4" }
var CloudmersiveImageApiClient = require('cloudmersive-image-api-client');
var defaultClient = CloudmersiveImageApiClient.ApiClient.instance;
// Configure API key authorization: Apikey
var Apikey = defaultClient.authentications['Apikey'];
Apikey.apiKey = 'YOUR API KEY';
var apiInstance = new CloudmersiveImageApiClient.RecognizeApi();
var imageFile = Buffer.from(fs.readFileSync("C:\\temp\\inputfile").buffer); // File | Image file to perform the operation on. Common file formats such as PNG, JPEG are supported.
var callback = function(error, data, response) {
if (error) {
console.error(error);
} else {
console.log('API called successfully. Returned data: ' + data);
}
};
apiInstance.recognizeDetectObjects(imageFile, callback);
Run this command to install the SDK:
pip install cloudmersive-image-api-client
from __future__ import print_function
import time
import cloudmersive_image_api_client
from cloudmersive_image_api_client.rest import ApiException
from pprint import pprint
# Configure API key authorization: Apikey
configuration = cloudmersive_image_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# create an instance of the API class
api_instance = cloudmersive_image_api_client.RecognizeApi(cloudmersive_image_api_client.ApiClient(configuration))
image_file = '/path/to/file' # file | Image file to perform the operation on. Common file formats such as PNG, JPEG are supported.
try:
# Detect objects including types and locations in an image
api_response = api_instance.recognize_detect_objects(image_file)
pprint(api_response)
except ApiException as e:
print("Exception when calling RecognizeApi->recognize_detect_objects: %s\n" % e)
Run this command to install the SDK:
Install-Package Cloudmersive.APIClient.NET.ImageRecognition -Version 3.0.5
Run this command to install the SDK:
Install-Package Cloudmersive.APIClient.NETCore.ImageRecognition -Version 2.0.4
using System;
using System.Diagnostics;
using Cloudmersive.APIClient.NET.ImageRecognition.Api;
using Cloudmersive.APIClient.NET.ImageRecognition.Client;
using Cloudmersive.APIClient.NET.ImageRecognition.Model;
namespace Example
{
public class RecognizeDetectObjectsExample
{
public void main()
{
// Configure API key authorization: Apikey
Configuration.Default.AddApiKey("Apikey", "YOUR_API_KEY");
var apiInstance = new RecognizeApi();
var imageFile = new System.IO.FileStream("C:\\temp\\inputfile", System.IO.FileMode.Open); // System.IO.Stream | Image file to perform the operation on. Common file formats such as PNG, JPEG are supported.
try
{
// Detect objects including types and locations in an image
ObjectDetectionResult result = apiInstance.RecognizeDetectObjects(imageFile);
Debug.WriteLine(result);
}
catch (Exception e)
{
Debug.Print("Exception when calling RecognizeApi.RecognizeDetectObjects: " + e.Message );
}
}
}
}
using System;
using System.Diagnostics;
using Cloudmersive.APIClient.NETCore.ImageRecognition.Api;
using Cloudmersive.APIClient.NETCore.ImageRecognition.Client;
using Cloudmersive.APIClient.NETCore.ImageRecognition.Model;
namespace Example
{
public class RecognizeDetectObjectsExample
{
public void main()
{
// Configure API key authorization: Apikey
Configuration.Default.AddApiKey("Apikey", "YOUR_API_KEY");
var apiInstance = new RecognizeApi();
var imageFile = new System.IO.FileStream("C:\\temp\\inputfile", System.IO.FileMode.Open); // System.IO.Stream | Image file to perform the operation on. Common file formats such as PNG, JPEG are supported.
try
{
// Detect objects including types and locations in an image
ObjectDetectionResult result = apiInstance.RecognizeDetectObjects(imageFile);
Debug.WriteLine(result);
}
catch (Exception e)
{
Debug.Print("Exception when calling RecognizeApi.RecognizeDetectObjects: " + e.Message );
}
}
}
}
To install with Maven, add a reference to the repository in pom.xml:
<repositories> <repository> <id>jitpack.io</id> <url>https://jitpack.io</url> </repository> </repositories>
And add a reference to the dependency in pom.xml:
<dependencies> <dependency> <groupId>com.github.Cloudmersive</groupId> <artifactId>Cloudmersive.APIClient.Java</artifactId> <version>v4.25</version> </dependency> </dependencies>
To install with Gradle, add it in your root build.gradle at the end of repositories:
allprojects { repositories { ... maven { url 'https://jitpack.io' } } }
And add the dependency in build.gradle:
dependencies { implementation 'com.github.Cloudmersive:Cloudmersive.APIClient.Java:v4.25' }
// Import classes:
//import com.cloudmersive.client.invoker.ApiClient;
//import com.cloudmersive.client.invoker.ApiException;
//import com.cloudmersive.client.invoker.Configuration;
//import com.cloudmersive.client.invoker.auth.*;
//import com.cloudmersive.client.RecognizeApi;
ApiClient defaultClient = Configuration.getDefaultApiClient();
// Configure API key authorization: Apikey
ApiKeyAuth Apikey = (ApiKeyAuth) defaultClient.getAuthentication("Apikey");
Apikey.setApiKey("YOUR API KEY");
// Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null)
//Apikey.setApiKeyPrefix("Token");
RecognizeApi apiInstance = new RecognizeApi();
File imageFile = new File("/path/to/file"); // File | Image file to perform the operation on. Common file formats such as PNG, JPEG are supported.
try {
ObjectDetectionResult result = apiInstance.recognizeDetectObjects(imageFile);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling RecognizeApi#recognizeDetectObjects");
e.printStackTrace();
}
Run this command to install the SDK:
composer require cloudmersive/cloudmersive_imagerecognition_api_client
<?php
require_once(__DIR__ . '/vendor/autoload.php');
// Configure API key authorization: Apikey
$config = Swagger\Client\Configuration::getDefaultConfiguration()->setApiKey('Apikey', 'YOUR_API_KEY');
$apiInstance = new Swagger\Client\Api\RecognizeApi(
new GuzzleHttp\Client(),
$config
);
$image_file = "/path/to/file"; // \SplFileObject | Image file to perform the operation on. Common file formats such as PNG, JPEG are supported.
try {
$result = $apiInstance->recognizeDetectObjects($image_file);
print_r($result);
} catch (Exception $e) {
echo 'Exception when calling RecognizeApi->recognizeDetectObjects: ', $e->getMessage(), PHP_EOL;
}
?>
Add the Objective-C client to your Podfile:
pod 'CloudmersiveImageRecognitionApiClient', '~> 1.0'
CMDefaultConfiguration *apiConfig = [CMDefaultConfiguration sharedConfig];
// Configure API key authorization: (authentication scheme: Apikey)
[apiConfig setApiKey:@"YOUR_API_KEY" forApiKeyIdentifier:@"Apikey"];
NSURL* imageFile = [NSURL fileURLWithPath:@"/path/to/file"]; // Image file to perform the operation on. Common file formats such as PNG, JPEG are supported.
CMRecognizeApi*apiInstance = [[CMRecognizeApi alloc] init];
// Detect objects including types and locations in an image
[apiInstance recognizeDetectObjectsWithImageFile:imageFile
completionHandler: ^(CMObjectDetectionResult* output, NSError* error) {
if (output) {
NSLog(@"%@", output);
}
if (error) {
NSLog(@"Error calling CMRecognizeApi->recognizeDetectObjects: %@", error);
}
}];
Add the Ruby client to your Gemfile:
gem 'cloudmersive-image-recognition-api-client', '~> 2.0.4'
# load the gem
require 'cloudmersive-image-recognition-api-client'
# setup authorization
CloudmersiveImageRecognitionApiClient.configure do |config|
# Configure API key authorization: Apikey
config.api_key['Apikey'] = 'YOUR API KEY'
# Uncomment the following line to set a prefix for the API key, e.g. 'Bearer' (defaults to nil)
#config.api_key_prefix['Apikey'] = 'Bearer'
end
api_instance = CloudmersiveImageRecognitionApiClient::RecognizeApi.new
image_file = File.new('/path/to/inputfile') # File | Image file to perform the operation on. Common file formats such as PNG, JPEG are supported.
begin
#Detect objects including types and locations in an image
result = api_instance.recognize_detect_objects(image_file)
p result
rescue CloudmersiveImageRecognitionApiClient::ApiError => e
puts "Exception when calling RecognizeApi->recognize_detect_objects: #{e}"
end
SwagRecognizeApi api = new SwagRecognizeApi();
SwagClient client = api.getClient();
// Configure API key authorization: Apikey
ApiKeyAuth Apikey = (ApiKeyAuth) client.getAuthentication('Apikey');
Apikey.setApiKey('YOUR API KEY');
Map<String, Object> params = new Map<String, Object>{
'imageFile' => Blob.valueOf('Sample text file\nContents')
};
try {
// cross your fingers
SwagObjectDetectionResult result = api.recognizeDetectObjects(params);
System.debug(result);
} catch (Swagger.ApiException e) {
// ...handle your exceptions
}
Install libcurl in your C/C++ project:
libcurl/7.75.0
CURL *curl;
CURLcode res;
curl = curl_easy_init();
if(curl) {
curl_easy_setopt(curl, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(curl, CURLOPT_URL, "https://api.cloudmersive.com/image/recognize/detect-objects");
curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
curl_easy_setopt(curl, CURLOPT_DEFAULT_PROTOCOL, "https");
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Content-Type: multipart/form-data");
headers = curl_slist_append(headers, "Apikey: YOUR-API-KEY-HERE");
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
curl_mime *mime;
curl_mimepart *part;
mime = curl_mime_init(curl);
part = curl_mime_addpart(mime);
curl_mime_name(part, "imageFile");
curl_mime_filedata(part, "/path/to/file");
curl_easy_setopt(curl, CURLOPT_MIMEPOST, mime);
res = curl_easy_perform(curl);
curl_mime_free(mime);
}
curl_easy_cleanup(curl);
curl --location --request POST 'https://api.cloudmersive.com/image/recognize/detect-objects' \
--header 'Content-Type: multipart/form-data' \
--header 'Apikey: YOUR-API-KEY-HERE' \
--form 'imageFile=@"/path/to/file"'
import Foundation
#if canImport(FoundationNetworking)
import FoundationNetworking
#endif
var semaphore = DispatchSemaphore (value: 0)
let parameters = [
[
"key": "imageFile",
"src": "/path/to/file",
"type": "file"
]] as [[String : Any]]
let boundary = "Boundary-\(UUID().uuidString)"
var body = ""
var error: Error? = nil
for param in parameters {
if param["disabled"] == nil {
let paramName = param["key"]!
body += "--\(boundary)\r\n"
body += "Content-Disposition:form-data; name=\"\(paramName)\""
if param["contentType"] != nil {
body += "\r\nContent-Type: \(param["contentType"] as! String)"
}
let paramType = param["type"] as! String
if paramType == "text" {
let paramValue = param["value"] as! String
body += "\r\n\r\n\(paramValue)\r\n"
} else {
let paramSrc = param["src"] as! String
let fileData = try NSData(contentsOfFile:paramSrc, options:[]) as Data
let fileContent = String(data: fileData, encoding: .utf8)!
body += "; filename=\"\(paramSrc)\"\r\n"
+ "Content-Type: \"content-type header\"\r\n\r\n\(fileContent)\r\n"
}
}
}
body += "--\(boundary)--\r\n";
let postData = body.data(using: .utf8)
var request = URLRequest(url: URL(string: "https://api.cloudmersive.com/image/recognize/detect-objects")!,timeoutInterval: Double.infinity)
request.addValue("multipart/form-data", forHTTPHeaderField: "Content-Type")
request.addValue("YOUR-API-KEY-HERE", forHTTPHeaderField: "Apikey")
request.addValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")
request.httpMethod = "POST"
request.httpBody = postData
let task = URLSession.shared.dataTask(with: request) { data, response, error in
guard let data = data else {
print(String(describing: error))
semaphore.signal()
return
}
print(String(data: data, encoding: .utf8)!)
semaphore.signal()
}
task.resume()
semaphore.wait()
This code snippet uses the built-in JavaScript XHR request capability
Run this command to install jQuery:
bower install jquery
var data = new FormData();
data.append("imageFile", fileInput.files[0], "file");
var xhr = new XMLHttpRequest();
xhr.withCredentials = true;
xhr.addEventListener("readystatechange", function() {
if(this.readyState === 4) {
console.log(this.responseText);
}
});
xhr.open("POST", "https://api.cloudmersive.com/image/recognize/detect-objects");
xhr.setRequestHeader("Apikey", "YOUR-API-KEY-HERE");
xhr.send(data);
var form = new FormData();
form.append("imageFile", fileInput.files[0], "file");
var settings = {
"url": "https://api.cloudmersive.com/image/recognize/detect-objects",
"method": "POST",
"timeout": 0,
"headers": {
"Content-Type": "multipart/form-data",
"Apikey": "YOUR-API-KEY-HERE"
},
"processData": false,
"mimeType": "multipart/form-data",
"contentType": false,
"data": form
};
$.ajax(settings).done(function (response) {
console.log(response);
});
package main
import (
"fmt"
"bytes"
"mime/multipart"
"os"
"path/filepath"
"io"
"net/http"
"io/ioutil"
)
func main() {
url := "https://api.cloudmersive.com/image/recognize/detect-objects"
method := "POST"
payload := &bytes.Buffer{}
writer := multipart.NewWriter(payload)
file, errFile1 := os.Open("/path/to/file")
defer file.Close()
part1,
errFile1 := writer.CreateFormFile("imageFile",filepath.Base("/path/to/file"))
_, errFile1 = io.Copy(part1, file)
if errFile1 != nil {
fmt.Println(errFile1)
return
}
err := writer.Close()
if err != nil {
fmt.Println(err)
return
}
client := &http.Client {
}
req, err := http.NewRequest(method, url, payload)
if err != nil {
fmt.Println(err)
return
}
req.Header.Add("Content-Type", "multipart/form-data")
req.Header.Add("Apikey", "YOUR-API-KEY-HERE")
req.Header.Set("Content-Type", writer.FormDataContentType())
res, err := client.Do(req)
if err != nil {
fmt.Println(err)
return
}
defer res.Body.Close()
body, err := ioutil.ReadAll(res.Body)
if err != nil {
fmt.Println(err)
return
}
fmt.Println(string(body))
}