Colorful Image Colorization

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1. Introduction Colorful Image Colorization is an algorithm that takes in a black & white photos and returns the colorized version of it. The algorithm uses deep learning to classify objects/regions within the image and color them accordingly. Note: we've recently added batchable IO to this algorithm for interfacing with VideoTransform and other batch image processing work. Input: (Required) Image Data API Url, Web (http/https) Url, binary image,base64 encoded image or an array of data API URLs / web URLs. **(Optional) **Output image location, if input is an array, output location should be an array of equal size. Output: Output image location. Note: The first call to this algorithm will take a bit longer than sequential calls to due algorithm initialization. All following calls will be significantly faster. 2. Examples Example 1. Parameter 1: Data API Url {
 "image": "data://deeplearning/example_data/lincoln.jpg"
}
 Output {
 "output": "data://.algo/deeplearning/ColorfulImageColorization/temp/lincoln.png"
}
 Example 2. Parameter 1: HTTPS Url {
 "image": "https://s3.amazonaws.com/algorithmia-assets/algo_desc_images/deeplearning_ColorfulImageColorization/lincoln.jpg"
}
 Output: {
 "output": "data://.algo/deeplearning/ColorfulImageColorization/temp/lincoln.png"
}
 Example 3. Parameter 1: Base64 image {
 "image": "data:image/png;base64....",
}
 Output; {
 "output": "data://.algo/deeplearning/ColorfulImageColorization/temp/output.png"
}
 Example 4. Parameter 1: HTTPS Url Parameter 2: Output file save location. {
 "image": "data://deeplearning/example_data/lincoln.jpg",
 "location": "data://.algo/temp/test42.png"
}
 Output: {
 "output": "data://.algo/deeplearning/ColorfulImageColorization/temp/test42.png"
}
 Example 5. Parameter 1: An array of HTTPS Urls { 
 "image":[ 
 "data://deeplearning/Temp/sample_image_1.png",
 "data://deeplearning/Temp/sample_image_2.png",
 "data://deeplearning/Temp/sample_image_3.png"
 ]
}
 Output: {
 "output": [
 "data://.algo/deeplearning/ColorfulImageColorization/temp/f8ca262c-a728-4866-9215-1e1684a4b83f.png",
 "data://.algo/deeplearning/ColorfulImageColorization/temp/fc523e24-7db4-4f36-801d-2fbb33af6f95.png",
 "data://.algo/deeplearning/ColorfulImageColorization/temp/61e1a08f-6527-4d1a-b61e-299386950ede.png"
 ]
}
 Example 6. Parameter 1: An array of Data API Uris Parameter 2: An array of file save paths (Data API URL's) must be the same length as parameter 1 { 
 "image":[ 
 "data://deeplearning/Temp/sample_image_1.png",
 "data://deeplearning/Temp/sample_image_2.png",
 "data://deeplearning/Temp/sample_image_3.png"
 ],
 "location":[ 
 "data://.algo/temp/sample_output_1.png",
 "data://.algo/temp/sample_output_2.png",
 "data://.algo/temp/sample_output_3.png"
 ]
}
 Output: { 
 "output":[ 
 "data://.algo/deeplearning/ColorfulImageColorization/temp/sample_output_1.png",
 "data://.algo/deeplearning/ColorfulImageColorization/temp/sample_output_2.png",
 "data://.algo/deeplearning/ColorfulImageColorization/temp/sample_output_3.png"
 ]
}
 3. Credits For more information, please refer to http://richzhang.github.io/colorization/  or  Zhang, Richard and Isola, Phillip and Efros, Alexei A (2016). Colorful Image Colorization. arXiv preprint arXiv:1603.08511 . Demo image were retrieved from Wikipedia under Public domain: https://en.wikipedia.org/wiki/Abraham_Lincoln#/media/File:A%26TLincoln.jpg

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1. Type your input

2. See the result

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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/deeplearning/ColorfulImageColorization/1.1.4
View cURL Docs
algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://deeplearning/ColorfulImageColorization/1.1.4 -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://deeplearning/ColorfulImageColorization/1.1.4");
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://deeplearning/ColorfulImageColorization/1.1.4")
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://deeplearning/ColorfulImageColorization/1.1.4")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://deeplearning/ColorfulImageColorization/1.1.4")
           .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('deeplearning/ColorfulImageColorization/1.1.4')
print algo.pipe(input)
View Python Docs
library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("deeplearning/ColorfulImageColorization/1.1.4")
result <- algo$pipe(input)$result
print(result)
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('deeplearning/ColorfulImageColorization/1.1.4')
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("deeplearning/ColorfulImageColorization/1.1.4");
let response = algo.pipe(input);
View Rust Docs
import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "deeplearning/ColorfulImageColorization/1.1.4") { resp, error in
  print(resp)
}
View Swift Docs
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