Object Detection With Models

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Introduction Core algorithm for taking in an image and a pretrained model and detecting objects for several OpenCV algorithms. This algorithm works by providing a valid opencv model. (For more opencv models, check here ) Algorithms that calls this algorithm: FaceDetection SmileDetection EyeDetection BodyDetection Input: (Required) : Image URL (key="imageUrl") (Required) : Model URL (key="modelUrl") (Required) : Output URL (key="outputUrl") (Optional) : Scale Factor (key="scaleFactor") (default=0) Example(s) Example 1. Parameter 1: Image URL Parameter 2: Model URL Parameter 3: Output URL {
 "imageUrl": "data://opencv/SampleImages/Justin_Trudeau_and_Enrique_Pena_Nieto-2-crop.jpg",
 "modelUrl": "data://opencv/SampleModels/lbpcascade_frontalface.xml",
 "outputUrl": "data://.algo/temp/output.jpg"
} Output: data://.algo/temp/output.jpg Credits Image retrieved from Wikipedia .

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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.

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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/opencv/ObjectDetectionWithModels/0.1.51
View cURL Docs
algo auth
algo run algo://opencv/ObjectDetectionWithModels/0.1.51 -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/ObjectDetectionWithModels/0.1.51")
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/ObjectDetectionWithModels/0.1.51");
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/ObjectDetectionWithModels/0.1.51")
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/ObjectDetectionWithModels/0.1.51");
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/ObjectDetectionWithModels/0.1.51')
print algo.pipe(input)
View Python Docs

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("opencv/ObjectDetectionWithModels/0.1.51")
result <- algo$pipe(input)$result
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('opencv/ObjectDetectionWithModels/0.1.51')
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/ObjectDetectionWithModels/0.1.51");
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/ObjectDetectionWithModels/0.1.51") { resp, error in
View Swift Docs
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