Image Similarity

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Table of Contents Introduction Examples Introduction Given two URLs that point to images, this algorithm outputs a similarity score between 0 and 1, 1 for images that are perceived to be the same and 0 for images that are utterly unrelated.  Algorithm makes use of OpenCV's keypoint extraction and extracts matches between the two images' keypoints.  Input: (Required): First image to be compared. (Required): Second image to be compared. Output: Similarity score. Score is between 0 and 1, from utterly unrelated to perceived as the same. Examples Example 1. Parameter 1: First image to be compared. Parameter 2: Second image to be compared. ["data://zskurultay/ImageDemo/butterfly1.png","data://zskurultay/ImageDemo/butterfly1.png"] Output: 1

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1. Type your input

2. See the result

Running algorithm...

3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY' https://api.algorithmia.com/v1/algo/zskurultay/ImageSimilarity/0.1.2
View cURL Docs
algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://zskurultay/ImageSimilarity/0.1.2 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://zskurultay/ImageSimilarity/0.1.2");
AlgoResponse result = algo.pipeJson(input);
System.out.println(result.asJsonString());
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://zskurultay/ImageSimilarity/0.1.2")
val result = algo.pipeJson(input)
System.out.println(result.asJsonString)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://zskurultay/ImageSimilarity/0.1.2")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://zskurultay/ImageSimilarity/0.1.2")
           .pipe(input)
           .then(function(response) {
             console.log(response.get());
           });
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('zskurultay/ImageSimilarity/0.1.2')
print algo.pipe(input)
View Python Docs
library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("zskurultay/ImageSimilarity/0.1.2")
result <- algo$pipe(input)$result
print(result)
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('zskurultay/ImageSimilarity/0.1.2')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::*;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo('zskurultay/ImageSimilarity/0.1.2');
let response = algo.pipe(input);
View Rust Docs
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