Pixelate Face

No algorithm description given

Pixelate Face This algorithm uses  Face Detection  to detect any faces in an image and pixellates them. The first argument is the source image and the second is the destination. The third argument is the amount of pixelation, the higher this parameter, the more pixelated the face. Input Formats The algorithm has 3 separate input types, a fully described input, and two automatic inputs. Full Input [
 inputUrl: String,
 output: String,
 pixelSize: Int
 inputUrl – inputUrl contains a data API url starting with data:// that contains an image file (must be of either type jpeg or png format) output – output is the path for a data collection, this could be either a personal collection (denoted by .my) or a algo collection (denoted by .algo). pixelSize – the size of the pixels used to obscure the face, value is length of one side of a obscuring square (IE: pixelSize = 5, obscuring square = 5x5)   The output for this method is a url pointing to the output file in the data API. Binary Input Input: Byte[] 
 This input accepts a binary image file (must be of jpeg format). The output for this method is the output image as a binary file. base 64 bit encoded String Input InputUrl: String
 This input contains a string consisting of either: 1) a  data API url starting with data:// that contains an image file (must be of either type jpeg or png format). 2) a base 64 encoded jpg or png image. The output for this method is the output image as a binary file.

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This algorithm has Internet access. This is necessary for algorithms that rely on external services, however it also implies that this algorithm is able to send your input data outside of the Algorithmia platform.

Calls other algorithms

This algorithm has permission to call other algorithms. This allows an algorithm to compose sophisticated functionality using other algorithms as building blocks, however it also carries the potential of incurring additional royalty and usage costs from any algorithm that it calls.

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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/opencv/PixelateFace/0.1.13
View cURL Docs
algo auth
algo run algo://opencv/PixelateFace/0.1.13 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import (
  algorithmia "github.com/algorithmiaio/algorithmia-go"

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://opencv/PixelateFace/0.1.13")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
View Go 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://opencv/PixelateFace/0.1.13");
AlgoResponse result = algo.pipeJson(input);
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://opencv/PixelateFace/0.1.13")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
using Algorithmia;

var input = "{{input | formatInput:"cs"}}";
var client = new Client("YOUR_API_KEY");
var algorithm = client.algo("algo://opencv/PixelateFace/0.1.13");
var response = algorithm.pipe<object>(input);
View .NET/C# Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('opencv/PixelateFace/0.1.13')
print algo.pipe(input)
View Python Docs

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("opencv/PixelateFace/0.1.13")
result <- algo$pipe(input)$result
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('opencv/PixelateFace/0.1.13')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::Algorithmia;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("opencv/PixelateFace/0.1.13");
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: "opencv/PixelateFace/0.1.13") { resp, error in
View Swift Docs
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