API DOCUMENTATION

General Recognition API

The Chooch API is organized around REST. The API recognizes objects and concepts in videos and images from our pre-trained models.

The API is compatible with livestreams and live tagging.

 

Image Recognition API

The image recognition API is a straightforward REST API conducting classification and object recognition predictions on images. The image URL is passed as a field to the API and the API returns a JSON based response with relevant predictions.

LOCAL IMAGE POST

  • Python
  • jQuery
  • PHP
  • cURL
# Image Recognition with Local Image

import requests

import json
             
url = 'https://api.chooch.ai/predict/image?apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19'

files = {'image': open('local_image.jpg', 'rb')}

response = requests.post(url, files=files)
                              
print(response.content)
 
var form = new FormData();

form.append("image", "");

var settings = {

"url": "https://api.chooch.ai/predict/image?apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

"method": "POST",

"timeout": 0,

"processData": false,

"mimeType": "multipart/form-data",

"contentType": false,

"data": form

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/image?apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "POST",

CURLOPT_POSTFIELDS => array('image'=> new CURLFILE('')),

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
 curl --location --request POST "https://api.chooch.ai/predict/image?apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19" --form "image=@"

URL POST

  • Python
  • jQuery
  • PHP
  • cURL
# Image Recognition with Image Url

import requests

import json

url = 'https://api.chooch.ai/predict/image?url=https://s3.amazonaws.com/choochdashboard/base_site/ronaldo_suit.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19'

response = requests.post(url)

print(response.content)
 
var form = new FormData();

var settings = {

"url": "https://api.chooch.ai/predict/image?url=https://s3.amazonaws.com/choochdashboard/base_site/ronaldo_suit.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

"method": "GET",

"timeout": 0,

"headers": {

"Content-Type": "application/json"

},

"processData": false,

"mimeType": "multipart/form-data",

"contentType": false,

"data": form

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/image?url=https://s3.amazonaws.com/choochdashboard/base_site/ronaldo_suit.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "GET",

CURLOPT_HTTPHEADER => array(

"Content-Type: application/json"

),

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request GET "https://api.chooch.ai/predict/image?url=https://s3.amazonaws.com/choochdashboard/base_site/ronaldo_suit.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19" --header "Content-Type: application/json"

API input fields are:

  • url: URL of the image file. In this example it is https://s3.amazonaws.com/choochdashboard/base_site/ronaldo_suit.jpg
  • apikey: API key provided by Chooch. In this example it is 346g5717-1sd3-35h6-9104-b8h5c819dn19

SAMPLE OUTPUT (IMAGE)

The sample JSON response is:

{
  "status": "ok",
  "url": "https://s3.amazonaws.com/choochdashboard/base_site/ronaldo_suit.jpg",
  "predictions": [
    {
      "class_title": "Cristiano Ronaldo",
      "order": "1"
    },
    {
      "class_title": "tom ford style",
      "order": "2"
    },
    {
      "class_title": "double-breasted suit, fashion",
      "order": "3"
    },
    {
      "class_title": "man",
      "order": "6"
    },
    {
      "class_title": "suit",
      "order": "7"
    },
    {
      "class_title": "cartoon, sterling archer",
      "order": "8"
    },
    {
      "class_title": "icon",
      "order": "9"
    },
    {
      "class_title": "man's clothing",
      "order": "10"
    },
    {
      "class_title": "face",
      "order": "11"
    },
    {
      "class_title": "male",
      "order": "12"
    },
    {
      "class_title": "young man",
      "order": "13"
    },
    {
      "class_title": "actor, doer",
      "order": "14"
    },
    {
      "class_title": "tie",
      "order": "15"
    },
    {
      "class_title": "striped tie",
      "order": "16"
    },
    {
      "class_title": "windsor tie",
      "order": "17"
    },
    {
      "class_title": "four-in-hand tie",
      "order": "18"
    },
    {
      "class_title": "cravat",
      "order": "19"
    }
  ],
  "texts": {
    "status": "limited to 15 results",
    "predictions": [
      
    ],
    "summary": [
      
    ]
  },
  "objects": {
    "predictions": [
      {
        "sub_predictions": [
          {
            "class_title": "tom ford style",
            "order": 1
          },
          {
            "class_title": "double breasted suit",
            "order": 2
          },
          {
            "class_title": "brown tie",
            "order": 3
          },
          {
            "class_title": "double-breasted suit, fashion",
            "order": 4
          }
        ],
        "object_title": "man",
        "coordinates": "0,749,64,982"
      },
      {
        "sub_predictions": [
          {
            "class_title": "cartoon, sterling archer",
            "order": 1
          },
          {
            "class_title": "tom ford style",
            "order": 2
          },
          {
            "class_title": "sterling archer",
            "order": 3
          },
          {
            "class_title": "double breasted suit",
            "order": 4
          },
          {
            "class_title": "brown tie",
            "order": 5
          },
          {
            "class_title": "double-breasted suit, fashion",
            "order": 6
          },
          {
            "class_title": "icon",
            "order": 7
          },
          {
            "class_title": "man's clothing",
            "order": 8
          }
        ],
        "object_title": "suit",
        "coordinates": "25,712,305,995"
      },
      {
        "sub_predictions": [
          {
            "class_title": "male",
            "order": 1
          },
          {
            "class_title": "young man",
            "order": 2
          },
          {
            "class_title": "actor, doer",
            "order": 3
          }
        ],
        "object_title": "face",
        "coordinates": "225,504,75,464"
      },
      {
        "sub_predictions": [
          {
            "class_title": "striped tie",
            "order": 1
          },
          {
            "class_title": "windsor tie",
            "order": 2
          },
          {
            "class_title": "four-in-hand tie",
            "order": 3
          },
          {
            "class_title": "cravat",
            "order": 4
          }
        ],
        "object_title": "tie",
        "coordinates": "320,436,523,875"
      }
    ],
    "summary": [
      {
        "count": "1",
        "object_title": "tie"
      },
      {
        "count": "1",
        "object_title": "face"
      },
      {
        "count": "1",
        "object_title": "suit"
      },
      {
        "count": "1",
        "object_title": "man"
      }
    ]
  },
  "faces": {
    "face_count": 1,
    "predictions": [
      {
        "face_name": "Cristiano Ronaldo",
        "coordinates": "248,506,192,450"
      }
    ]
  },
  "predicttype": "dense",
  "fileid": "c2f02758f0dd4b8ab703e26f4d70d7c7"
}

The response fields are:

  • url: URL of the image file posted
  • status: Status of the API request. When successful the status is “ok”. For error messages see last section.
  • predictions: Predictions made on the image. Predictions are provided as a list and have class_title and order fields.class_title is the name of the class predicted, and order is the order of relevancy of the particular class.
  • sub_predictions: Predictions made under dense classification. The image or frame is segmented into parts and classified based on the segments.
  • text_value: Text predictions.
  • face_name: Facial recognition name predictions.
  • face_count: Sum of faces.
  • coordinates: Coordinates of the object based on pixels. The format for the coordinates is X1, X2, Y1, Y2.
  • count: The number of times an object or concept appears in an image or a frame.
  • fileid: Unique File ID created for the image. The File ID is to identify the image for future references.
    In this example it is ec7995bb557d4416ab97b819917fc18c

Video Recognition API

The video recognition API is a REST API indexing videos every second. The API consists of 2 parts: 1) send video and 2) search. The indexing begins by sending the video. After sending the video, the indexed data can be viewed through the search API.

SAMPLE INPUT (VIDEO)

The following is a sample send video URL for indexing to begin:

https://api.chooch.ai/predict/video?url=https://s3.amazonaws.com/choochvideo/51.mp4&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19

API input fields are:

  • url: URL of the video file. In this example it is https://s3.amazonaws.com/choochvideo/51.mp4
  • apikey: API key provided by Chooch. In this example it is 346g5717-1sd3-35h6-9104-b8h5c819dn19

SAMPLE OUTPUT (VIDEO)

The sample JSON response is:

{
    url: "https://s3.amazonaws.com/choochvideo/51.mp4",
    status: "Success (Video is being indexed)",
    predicttype: "video",
    fileid: "55de9d9ce1e2469da3a420a7b4de9397"
}

The response fields are:

  • url: URL of the video file.
  • status: Status of the API request. When successful the status is “Success (Video is being indexed)”. For errors see last section.
  • predicttype: Predict type is video for videos.
  • fileid: Unique File ID created for the video. The File ID is to identify the indexed video for future reference and searches within the video. In this example it is 55de9d9ce1e2469da3a420a7b4de9397

VIEWING INDEXED VIDEO

After the video is indexed, the indexed data can be viewed through the search API by using the File ID of the video. The following is a sample API request URL for viewing indexed data.

https://api.chooch.ai/predict/search?fileid=55de9d9ce1e2469da3a420a7b4de9397&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19

API input fields are:

  • apikey: : API key provided by Chooch. In this example it is 346g5717-1sd3-35h6-9104-b8h5c819dn19
  • fileid: Unique File ID created for the video. The File ID is to identify the indexed video for future reference and searches within the video. In this example it is 55de9d9ce1e2469da3a420a7b4de9397

The sample JSON response is:

{
    status: "ok",
    url: "https://s3.amazonaws.com/choochvideo/51.mp4",
    indexstatus: "Success (Video Has Been Indexed)",
    seconds: [{
        texts: {
            status: "limited to 15 results",
            predictions: [
                {
                    text_value: "sports",
                    coordinates: "556,773,379,422"
                },
                {
                    text_value: "scenter",
                    coordinates: "751,1041,376,432"
                },
                {
                    text_value: "allaccess",
                    coordinates: "631,973,458,507"
                },
                {
                    text_value: "ronald",
                    coordinates: "592,994,519,616"
                },
                {
                    text_value: "in",
                    coordinates: "682,735,614,650"
                },
                {
                    text_value: "china",
                    coordinates: "748,922,616,660"
                }
            ],
            summary: [
                {
                    count: "1",
                    text_value: "allaccess"
                },
                {
                    count: "1",
                    text_value: "sports"
                },
                {
                    count: "1",
                    text_value: "ronald"
                },
                {
                    count: "1",
                    text_value: "china"
                },
                {
                    count: "1",
                    text_value: "in"
                },
                {
                    count: "1",
                    text_value: "scenter"
                }
            ]
        },
        second: 1,
        objects: {
            predictions: [
                {
                    sub_predictions: [ ],
                    object_title: "illustration",
                    coordinates: "211,1138,142,712"
                },
                {
                    sub_predictions: [
                    {
                        class_title: "victory",
                        order: 1
                    },
                    {
                        class_title: "joy",
                        order: 2
                    }
                    ],
                    object_title: "man",
                    coordinates: "190,580,319,712"
                },
                {
                    sub_predictions: [ ],
                    object_title: "face",
                    coordinates: "279,511,325,658"
                },
                {
                    sub_predictions: [ ],
                    object_title: "person",
                    coordinates: "978,1089,571,716"
                },
                {
                    sub_predictions: [ ],
                    object_title: "clothing",
                    coordinates: "971,1097,602,712"
                },
                {
                    sub_predictions: [ ],
                    object_title: "illustration",
                    coordinates: "211,1138,142,712"
                },
                {
                    sub_predictions: [
                        {
                            class_title: "victory",
                            order: 1
                        },
                        {
                            class_title: "joy",
                            order: 2
                        }
                    ],
                    object_title: "man",
                    coordinates: "190,580,319,712"
                },
                {
                    sub_predictions: [ ],
                    object_title: "face",
                    coordinates: "279,511,325,658"
                },
                {
                    sub_predictions: [ ],
                    object_title: "person",
                    coordinates: "978,1089,571,716"
                },
                {
                    sub_predictions: [ ],
                    object_title: "clothing",
                    coordinates: "971,1097,602,712"
                }
            ],
            summary: [
                {
                    count: "2",
                    object_title: "person"
                },
                {
                    count: "2",
                    object_title: "face"
                },
                {
                    count: "2",
                    object_title: "clothing"
                },
                {
                    count: "2",
                    object_title: "illustration"
                },
                {
                    count: "2",
                    object_title: "man"
                }
            ]
        },
        predictions: [
            {
                class_title: "cristiano ronaldo",
                order: "1"
            },
            {
                class_title: "illustration",
                order: "2"
            },
            {
                class_title: "man",
                order: "3"
            },
            {
                class_title: "victory",
                order: "4"
            },
            {
                class_title: "joy",
                order: "5"
            },
            {
                class_title: "face",
                order: "6"
            },
            {
                class_title: "sports",
                order: "7"
            },
            {
                class_title: "scenter",
                order: "8"
            },
            {
                class_title: "allaccess",
                order: "9"
            },
            {
                class_title: "ronald",
                order: "10"
            },
            {
                class_title: "in",
                order: "11"
            },
            {
                class_title: "china",
                order: "12"
            }
        ],
        faces: {
            face_count: 1,
            predictions: [
                {
                    face_name: "Cristiano Ronaldo",
                    coordinates: "212,390,292,472"
                }
            ]
        }
    },
    {
        texts: {
            status: "limited to 15 results",
            predictions: [
            {
                text_value: "scenter",
                coordinates: "712,1023,279,339"
            },
            {
                text_value: "sorts",
                coordinates: "512,745,302,345"
            },
            {
                text_value: "allfaccess",
                coordinates: "583,937,366,417"
            },
            {
                text_value: "onald",
                coordinates: "545,970,428,530"
            },
            {
                text_value: "i",
                coordinates: "626,683,534,572"
            },
            {
                text_value: "china",
                coordinates: "690,906,529,582"
            },
            {
                text_value: "mra",
                coordinates: "1042,1084,568,584"
            },
            {
                text_value: "s",
                coordinates: "957,993,652,671"
            }
            ],
            summary: [
                {
                    count: "1",
                    text_value: "allfaccess"
                },
                {
                    count: "1",
                    text_value: "i"
                },
                {
                    count: "1",
                    text_value: "mra"
                },
                {
                    count: "1",
                    text_value: "s"
                },
                {
                    count: "1",
                    text_value: "china"
                },
                {
                    count: "1",
                    text_value: "sorts"
                },
                {
                    count: "1",
                    text_value: "onald"
                },
                {
                    count: "1",
                    text_value: "scenter"
                }
            ]
        },
        second: 2,
        objects: {
            predictions: [
                {
                    sub_predictions: [
                        {
                            class_title: "maybe olympics",
                            order: 1
                        }
                    ],
                    object_title: "man",
                    coordinates: "78,547,267,712"
                },
                {
                    sub_predictions: [
                        {
                            class_title: "psycho joker",
                            order: 1
                        }
                    ],
                    object_title: "face",
                    coordinates: "241,455,271,582"
                },
                {
                    sub_predictions: [
                        {
                            class_title: "forward",
                            order: 1
                        },
                        {
                            class_title: "back",
                            order: 2
                        }
                    ],
                    object_title: "man",
                    coordinates: "965,1150,467,712"
                },
                {
                    sub_predictions: [ ],
                    object_title: "person",
                    coordinates: "981,1145,459,707"
                },
                {
                    sub_predictions: [ ],
                    object_title: "clothing",
                    coordinates: "987,1150,503,697"
                },
                {
                    sub_predictions: [
                        {
                            class_title: "maybe olympics",
                            order: 1
                        }
                    ],
                    object_title: "man",
                    coordinates: "78,547,267,712"
                },
                {
                    sub_predictions: [
                        {
                            class_title: "psycho joker",
                            order: 1
                        }
                    ],
                    object_title: "face",
                    coordinates: "241,455,271,582"
                },
                {
                    sub_predictions: [
                        {
                            class_title: "forward",
                            order: 1
                        },
                        {
                            class_title: "back",
                            order: 2
                        }
                        ],
                    object_title: "man",
                    coordinates: "965,1150,467,712"
                },
                {
                    sub_predictions: [ ],
                    object_title: "person",
                    coordinates: "981,1145,459,707"
                },
                {
                    sub_predictions: [ ],
                    object_title: "clothing",
                    coordinates: "987,1150,503,697"
                }
            ],
            summary: [
                {
                    count: "4",
                    object_title: "man"
                },
                {
                    count: "2",
                    object_title: "person"
                },
                {
                    count: "2",
                    object_title: "face"
                },
                {
                    count: "2",
                    object_title: "clothing"
                }
            ]
        },
        predictions: [
            {
                class_title: "cristiano ronaldo",
                order: "1"
            },
            {
                class_title: "man - 1",
                order: "2"
            },
            {
                class_title: "maybe olympics",
                order: "3"
            },
            {
                class_title: "face",
                order: "4"
            },
            {
                class_title: "psycho joker",
                order: "5"
            },
            {
                class_title: "man - 2",
                order: "6"
            },
            {
                class_title: "forward",
                order: "7"
            },
            {
                class_title: "back",
                order: "8"
            },
            {
                class_title: "scenter",
                order: "9"
            },
            {
                class_title: "sorts",
                order: "10"
            },
            {
                class_title: "allfaccess",
                order: "11"
            },
            {
                class_title: "onald",
                order: "12"
            },
            {
                class_title: "i",
                order: "13"
            },
            {
                class_title: "china",
                order: "14"
            },
            {
                class_title: "mra",
                order: "15"
            },
            {
                class_title: "s",
                order: "16"
            }
        ],
        faces: {
            face_count: 1,
            predictions: [
                {
                    face_name: "Cristiano Ronaldo",
                    coordinates: "192,342,260,408"
                }
            ]
        }
    },
    ],
    index_status: "Success (Video Has Been Indexed)",
    fileid: "55de9d9ce1e2469da3a420a7b4de9397"
}

The response fields are:

  • url: URL of the video file.
  • status: Status of the API request. When successful the status is “Success (Video is being indexed)”. For errors see last section.
  • predicttype: Predict type is video for videos.
  • sub_predictions: Predictions made under dense classification. The image or frame is segmented into parts and classified based on the segments.
  • face_count: Sum of faces
  • coordinates: Coordinates of the object based on pixels. The format for the coordinates are X1, X2, Y1, Y2.
  • count: The number of times an object or concept appears in an image or a frame.
  • fileid: Unique File ID created for the video. The File ID is to identify the indexed video for future reference and searches within the video. In this example it is 55de9d9ce1e2469da3a420a7b4de9397
  • indexstatus: Status of video index. When complete the status is “Success (Video Has Been Indexed)”. For errors see next section.
  • seconds: Each second in the video is indexed. Each item is a second in the video and there are predictions for every second, similar to the image prediction API. Each item has a second and predictions field. Predictions for every second are listed in the predictions field with the class_title and order fields.

GENERAL STATUS MESSAGES

  • ok
  • Error (Wrong Parameters)
  • Error (Invalid API Key)
  • Error (You Have Reached Your Trial API Call Limit)
  • Error (No File)

VIDEO INDEX STATUS MESSAGES

  • Waiting to Be Processed
  • In Process Error Occurred (Not Valid Video File)
  • Error Occurred (Reached Your API Call Limit)
  • Success (Video Has Been Indexed)

FTP DROP FUNCTION

The FTP drop function was developed on top of the Chooch API for image and video professionals who want to tag their images and videos autonomously. For every client a personal FTP host is issued together with the API.

  • FTP Host: ftp://52.207.237.100
  • API Key: 6werc42-1675-6553-8105

The FTP drop sends the image to the API. The API predicts the image and places the results in the keywords field of the IPTC metadata file. Once the metadata has been successfully placed into the keywords fields of the IPTC file, it is sent to the destination directed by the user.

Custom Image Recognition API

LOCAL IMAGE POST

  • Python
  • jQuery
  • PHP
  • cURL
# Image Recognition with Local Image

import requests

import json

url = 'https://api.chooch.ai/predict/image?apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&model_id=808'

files = {'image': open('local_image.jpg', 'rb')}

response = requests.post(url, files=files)

print(response.content)
 
var form = new FormData();

form.append("image", "");

var settings = {

"url": "https://api.chooch.ai/predict/image?apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&model_id=808",

"method": "POST",

"timeout": 0,

"processData": false,

"mimeType": "multipart/form-data",

"contentType": false,

"data": form

};

$.ajax(settings).done(function (response) {

console.log(response);

 });
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/image?apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&model_id=808",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "POST",

CURLOPT_POSTFIELDS => array('image'=> new CURLFILE('')),

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request POST "https://api.chooch.ai/predict/image?apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&model_id=808" --form "image=@"

URL POST

  • Python
  • jQuery
  • PHP
  • cURL
# Image Recognition with Image Url

import requests

import json

url = 'https://api.chooch.ai/predict/image?url=https://chooch-share.s3.amazonaws.com/cat.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&model_id=808'

response = requests.post(url)

print(response.content)
 
var form = new FormData();

var settings = {

"url": "https://api.chooch.ai/predict/image?url=https://chooch-share.s3.amazonaws.com/cat.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&model_id=808",

"method": "GET",

"timeout": 0,

"headers": {

"Content-Type": "application/json"

},

"processData": false,

"mimeType": "multipart/form-data",

"contentType": false,

"data": form

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/image?url=https://chooch-share.s3.amazonaws.com/cat.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&model_id=808",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "GET",

CURLOPT_HTTPHEADER => array(

"Content-Type: application/json"

),

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request GET "https://api.chooch.ai/predict/image?url=https://chooch-share.s3.amazonaws.com/cat.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&model_id=808"  --header "Content-Type: application/json"

API input fields are:

  • model_id: The id of the model you trained.In this example it is 808
  • url:  URL of the image file. In this example it is https://chooch-share.s3.amazonaws.com/cat.jpg
  • apikey: API key provided by Chooch. In this example it is 346g5717-1sd3-35h6-9104-b8h5c819dn19

SAMPLE OUTPUT (IMAGE)

The sample JSON response is:

{
    "status": "ok",
    "model_id": "808",
    "url": "https://chooch-share.s3.amazonaws.com/cat.jpg",
    "predictions": [
        {
        "class_title": "cat",
        "order": 1
        }
    ],
    "prediction_type": "image"
    }

The response fields are:

  • status: Status of the API request.
  • model_id: The id of the model you trained.In this example it is 808
  • url:  URL of the image file posted. In this example it is https://chooch-share.s3.amazonaws.com/cat.jpg
  • predictions: Predictions made on the image. Predictions are provided as a list and have class_title and order fields.class_title is the name of the class predicted, and order is the order of relevancy of the particular class.
  • predict_type: Predict type is image.

Custom Object Recognition API

URL POST

  • Python
  • jQuery
  • PHP
  • cURL
# Object Detection with Image Url

import requests

import json

url = 'https://api.chooch.ai/predict/object_detection/?url=https://choochdashboard.s3.amazonaws.com/truck.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19c&model_id=88'

response = requests.post(url)

json_data = json.loads(response.content)

print(json_data)
 
var settings = {

"url": "https://api.chooch.ai/predict/object_detection/?url=https://choochdashboard.s3.amazonaws.com/truck.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19c&model_id=88",

 "method": "GET",

"timeout": 0,

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/object_detection/?url=https://choochdashboard.s3.amazonaws.com/truck.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19c&model_id=88",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "GET",

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request GET "https://api.chooch.ai/predict/object_detection/?url=https://choochdashboard.s3.amazonaws.com/truck.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19c&model_id=88"

LOCAL IMAGE POST

  • Python
  • jQuery
  • PHP
  • cURL
import requests

import json

import time

url = 'https://api.chooch.ai/predict/object_detection/?model_id=88&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19'

files = {'image': open('local_image.jpg', 'rb')} 

response = requests.post(url, files=files)

json_data = json.loads(response.content)

print(json_data)
 
var form = new FormData();

form.append("image", "local_file");

var settings = {

"url": "https://api.chooch.ai/predict/object_detection/?model_id=88&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

"method": "POST",

"timeout": 0,

"processData": false,

"mimeType": "multipart/form-data",

"contentType": false,

"data": form

};
$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/object_detection/?model_id=88&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "POST",

CURLOPT_POSTFIELDS => array('image'=> new CURLFILE('local_file')),

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request POST "https://api.chooch.ai/predict/object_detection/?model_id=88&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19" --form "image=@local_file"

SAMPLE RESPONSE:

    {
        "status": "ok",
        "prediction_type": "object_detection",
        "predictions": [
            {
                "class_title": "person",
                "model_id": 88,
                "score": 0.74613,
                "coordinates": {
                    "xmin": 0,
                    "ymin": 35,
                    "ymax": 297,
                    "xmax": 179
                }
            }
        ]
    }

API input fields are:

  • model_id: The id of the model you trained.In this example it is 88
  • coordinates: Coordinates of the object based on pixels. The format for the coordinates is xmin, ymin ,xmax, ymax

You can also post an image through the image field. Below are 2 separate sample posts in python.

URL POST

  • Python
  • jQuery
  • PHP
  • cURL
import requests

import json

import time

url = 'https://api.chooch.ai/predict/face?url=https://choochdashboard.s3.amazonaws.com/base_site/1461123713-esq050116cover001s.jpg&person_id_filter=-1&model_id=14&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19'

response = requests.post(url)

json_data = json.loads(response.content)

print(json_data)
 
var form = new FormData();

var settings = {

"url": "https://api.chooch.ai/predict/face?url=https://choochdashboard.s3.amazonaws.com/base_site/1461123713-esq050116cover001s.jpg&person_id_filter=-1&model_id=14&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

"method": "POST",

"mimeType": "multipart/form-data",

"contentType": false,

"data": form

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/face?url=https://choochdashboard.s3.amazonaws.com/base_site/1461123713-esq050116cover001s.jpg&person_id_filter=-1&model_id=14&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "POST",

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request POST "https://api.chooch.ai/predict/face?url=https://choochdashboard.s3.amazonaws.com/base_site/1461123713-esq050116cover001s.jpg&person_id_filter=-1&model_id=14&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19"

LOCAL IMAGE POST

  • Python
  • jQuery
  • PHP
  • cURL
  • Java
  • C#
import requests

import json

import time

url = 'https://api.chooch.ai/predict/face?person_id_filter=-1&model_id=5&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19'

files = {'image': open('local_image.jpg', 'rb')} 

response = requests.post(url, files=files)

json_data = json.loads(response.content)

print(json_data)
 
var form = new FormData();

form.append("image", "");

var settings = {

"url": "https://api.chooch.ai/predict/face?person_id_filter=-1&model_id=14&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

"method": "POST",

"timeout": 0,

"processData": false,

"mimeType": "multipart/form-data",

"contentType": false,

"data": form

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/face?person_id_filter=-1&model_id=14&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "POST",

CURLOPT_POSTFIELDS => array('image'=> new CURLFILE('')),

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request POST "https://api.chooch.ai/predict/face?person_id_filter=-1&model_id=14&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19" --form "image=@"
 
import java.io.File;

import kong.unirest.HttpResponse;

import kong.unirest.JsonNode;

import kong.unirest.Unirest;


public class Test {

public static void main(String[] args) {

    HttpResponse<JsonNode> response = Unirest.post("https://api.chooch.ai/predict/face?person_id_filter=-1&model_id=5&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19").field("image", new File("/home/ashwmadhu/Desktop/12.jpg")).asJson();

    System.out.println(response.getBody());

    }

}
 
using System;
using RestSharp;

namespace TestProject
{
    class Program
    {
        static void Main(string[] args)
        {
            var client = new RestClient("https://api.chooch.ai/predict/face?person_id_filter=-1&model_id=5&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19");
            var request = new RestRequest(Method.POST); var path = "/home/ashwmadhu/Desktop/12.jpg";
            request.AddFile("image", path);
            IRestResponse response = client.Execute(request);
            Console.WriteLine(response.Content);
        }
    }
}

JSON RESPONSE

The example JSON response is here below. In this example, the similarity is 0.80. The face_recog_hit is True when there is a match and False when there is no match.

{
    status: "ok",
    person_id_filter: -1,
    faces_detected: [
        {
            person_name: "George Clooney",
            similarity: 0.8,
            coordinates: "1402,1657,158,506",
            image_url: "https://s3.amazonaws.com/choochdashboard/media/face_models/14/George_Clooney/220px-George_Clooney_2016_(1).jpg",
            person_id: 22,
            key_id: null
        }
    ],
    face_recog_hit: true,
    face_count: 1,
    post_type: "face_search",
    faces: [
        {
            person_name: "George Clooney",
            similarity: 0.8,
            face_live: null,
            coordinates: "1402,1657,158,506",
            person_id: 22,
            key_id: null,
            face_live_status_description: null
        }
    ],
    similar_faces: [
        {
            person_name: "George Clooney",
            similarity: 0.8,
            coordinates: "1402,1657,158,506",
            image_url: "https://s3.amazonaws.com/choochdashboard/media/face_models/14/George_Clooney/220px-George_Clooney_2016_(1).jpg",
            person_id: 22,
            key_id: null,
            order: 1
        },
        {
            person_name: "4566",
            similarity: 0.8,
            coordinates: "1402,1657,158,506",
            image_url: "https://s3.amazonaws.com/choochdashboard/media/face_models/api/-1/79db335f-46e8-4e35-b15e-5174a5bc7d22.jpg",
            person_id: 131,
            key_id: "4566",
            order: 2
        },
        {
            person_name: "5677",
            similarity: 0.08,
            coordinates: "1402,1657,158,506",
            image_url: "https://s3.amazonaws.com/choochdashboard/media/face_models/api/None/9f7eff07-6313-461b-b326-1a1949138244.jpg",
            person_id: 130,
            key_id: "5677",
            order: 3
        },
        {
            person_name: "Hakan Gultekin",
            similarity: 0.07,
            coordinates: "1402,1657,158,506",
            image_url: "https://s3.amazonaws.com/choochdashboard/media/face_models/14/Hakan_Gultekin/37592577_10155843376073845_3443616404685717504_n.jpg",
            person_id: 117,
            key_id: null,
            order: 4
        }
    ]
}

This API function allows the user to add a face image with a unique id (it can be a unique person name, or a unique id assigned to a person):

  • Python
  • jQuery
  • PHP
  • cURL
  • Java
  • C#
import requests

import json

import time

url = 'https://api.chooch.ai/predict/face?&key_id=3245&model_id=7&command=insert_person_image_key_id&apikey=46g5717-1sd3-35h6-9104-b8h5c819dn19'

files = {'image': open('/home/ashwmadhu/Desktop/12.jpg', 'rb')}

response = requests.post(url, files=files)

json_data = json.loads(response.content)

print(json_data)
 
var form = new FormData();

form.append("image", "");

var settings = {

"url": "https://api.chooch.ai/predict/face?&key_id=3245&model_id=7&command=insert_person_image_key_id&apikey=46g5717-1sd3-35h6-9104-b8h5c819dn19",

"method": "POST",

"timeout": 0,

"processData": false,

"mimeType": "multipart/form-data",

"contentType": false,

"data": form

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/face?&key_id=3245&model_id=7&command=insert_person_image_key_id&apikey=46g5717-1sd3-35h6-9104-b8h5c819dn19",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "POST",

CURLOPT_POSTFIELDS => array('image'=> new CURLFILE('')),

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl -X POST 'https://api.chooch.ai/predict/face?key_id=3245&model_id=7&command=insert_person_image_key_id&apikey=46g5717-1sd3-35h6-9104-b8h5c819dn19' -F image=@/home/ashwmadhu/Desktop/12.jpg
 
import java.io.File;

import kong.unirest.HttpResponse;

import kong.unirest.JsonNode;

import kong.unirest.Unirest;

public class Test {
public static void main(String[] args) {
    HttpResponse<JsonNode> response = Unirest.post("https://api.chooch.ai/predict/face?&key_id=3245&model_id=7&command=insert_person_image_key_id&apikey=46g5717-1sd3-35h6-9104-b8h5c819dn19").field("image", new File("/home/ashwmadhu/Desktop/12.jpg")).asJson();
    System.out.println(response.getBody());
    }
}
 
using System;
using RestSharp;

namespace TestProject
{
    class Program
    {
        static void Main(string[] args)
        {
        var client = new RestClient("https://api.chooch.ai/predict/face?&key_id=3245&model_id=7&command=insert_person_image_key_id&apikey=46g5717-1sd3-35h6-9104-b8h5c819dn19");
        var request = new RestRequest(Method.POST);
        var path = "/home/ashwmadhu/Desktop/12.jpg";
request.AddFile("image", path);
        IRestResponse response = client.Execute(request);
        Console.WriteLine(response.Content);
        }
    }
}

JSON RESPONSE

{
  "status_description":"success",
  "post_type":"insert_person_image",
  "status":41868
}

CREATE PERSON API COMMAND

You can create a person through the Chooch API. Below is a sample Python based usage of the create_person command.

  • Python
  • jQuery
  • PHP
  • cURL
  • Java
  • C#
# Create Person Python Code
import requests

import json

url = 'https://api.chooch.ai/predict/face?person_name=Tom Bill&model_id=5&apikey=cx065e5d-51wc87-9df6-163e-8b65a78k51e3&command=create_person'

response = requests.post(url)

json_data = json.loads(response.content)

print(json_data)
 
var form = new FormData();

var settings = {

"url": "https://api.chooch.ai/predict/face?person_name=Tom Bill&model_id=5&apikey=cx065e5d-51wc87-9df6-163e-8b65a78k51e3&command=create_person",

"method": "POST",

"processData": false,

"mimeType": "multipart/form-data",

"contentType": false,

"data": form

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/face?person_name=Tom%20Bill&model_id=5&apikey=cx065e5d-51wc87-9df6-163e-8b65a78k51e3&command=create_person",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "POST",

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request POST "https://api.chooch.ai/predict/face?person_name=Tom%20Bill&model_id=5&apikey=cx065e5d-51wc87-9df6-163e-8b65a78k51e3&command=create_person"
 
import java.io.File;
import kong.unirest.HttpResponse;
import kong.unirest.JsonNode;
import kong.unirest.Unirest;

public class Test {
public static void main(String[] args) {
    HttpResponse<JsonNode> response = Unirest.post("https://api.chooch.ai/predict/face?person_name=Tom&model_id=5&apikey=cx065e5d-51wc87-9df6-163e-8b65a78k51e3&command=create_person").asJson();
    System.out.println(response.getBody());
    }
}
 
using System;
using RestSharp;

namespace TestProject
{
    class Program
    {
        static void Main(string[] args)
        {
        var client = new RestClient("https://api.chooch.ai/predict/face?person_name=Tom%20Bill&model_id=5&apikey=cx065e5d-51wc87-9df6-163e-8b65a78k51e3&command=create_person");
        var request = new RestRequest(Method.POST);
        IRestResponse response = client.Execute(request);
        Console.WriteLine(response.Content);
        }
    }
}

JSON RESPONSE

{
    person_id: 37,
    status: 37,
    status_description: success,
    post_type: create_person
}

RETURN STATUS VALUES:

  • status > 0 : success, and the return value is the person_id.
  • status = 0 : error has occurred.
  • status = -1 : invalid model id.
  • status = -2 : invalid person name.

INSERT PERSON IMAGE API COMMAND

A face image can be added to an existing person using the person_id. Below is a sample Python based usage of the insert_person_image command.

  • Python
  • jQuery
  • PHP
  • cURL
# Add face image to person with person_id_filter (person_id) Python Code

import requests

import json

url = 'https://api.chooch.ai/predict/face?person_id_filter=37&apikey=cx065e5d-51wc87-9df6-163e-8b65a78k51e3&command=insert_person_image'

files = {'image': open('your_image.jpg', 'rb')}

response = requests.post(url, files=files)

json_data = json.loads(response.content)

print(json_data)
 
var form = new FormData();

form.append("image", "");

var settings = {

"url": "https://api.chooch.ai/predict/face?person_id_filter=37&apikey=cx065e5d-51wc87-9df6-163e-8b65a78k51e3&command=insert_person_image",

"method": "POST",

"processData": false,

"mimeType": "multipart/form-data",

"contentType": false,

"data": form

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/face?person_id_filter=37&apikey=cx065e5d-51wc87-9df6-163e-8b65a78k51e3&command=insert_person_image",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "POST",

URLOPT_POSTFIELDS => array('image'=> new CURLFILE('')),

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request POST "https://api.chooch.ai/predict/face?person_id_filter=37&apikey=cx065e5d-51wc87-9df6-163e-8b65a78k51e3&command=insert_person_image" --form "image=@"

JSON RESPONSE

{
    status: 210,  
    status_description: success, 
    post_type: insert_person_image
}

RETURN STATUS VALUES:

  • status > 0 : success, and the return value is the image id
  • status = 0 : error has occurred.
  • status = -1 : no face detected.
  • status = -2 : invalid person id.

Chooch Facial Authentication API

The Chooch Facial Authentication API is a video/stream post API which Authenticates a Face in video based on a reference Face Image. The API takes 2 parameters, a Video Url and an Image Url. Chooch Indexes the video and tries to Authenticate the Face in the video based on the reference face image.

 

At the end of the indexing Chooch returns a result in the “result” field, “live” or “not-live”.

 

If the face_live_result is “live” and “is_match_result” is “true” the Face in the input image matches the Face in the video and the Face in the video is live.

 

If the result is “not-live” and/or “is_match_result” is “false” the Face in the input image does not match the Face in the video and/or the Face in the video is not live.

 

The file_id returned in the posting of the video is used to query the status and result of the Authentication.

 

Below are details on how to use the API:

Note: Maximum allowed video length is 15 seconds.

URL POSTS

Initial Post and Response

https://api.chooch.ai/predict/live_detect/?video_url=https://chooch-share.s3.amazonaws.com/live-detection/Hakan_real.mp4&image_url=https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19

JSON RESPONSE

{
    status: "Waiting to be processed",
    video_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_real.mp4",
    image_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1.jpg",
    file_id: "24fd36c9-f804-4a56-af0d-34406504d3b8",
    is_match_result: false,
    face_live_result: "Waiting to be processed",
    post_type: "face_live_detection"
}

The response fields are:

  • video_url: URL of the video file.
  • image_url: URL of the image file.
  • file_id: Unique id of post
  • is_match_result: True if the Face in the image and video are a match, False if they do not match.
  • face_live_result: True if the Face in the video is Real (Not Spoofed) False if the Face is Fake (Spoofed).

The initial post will return a file_id. This will be used to query the status result of the Face Authentication of the video.

Face Detection

URL POST

  • Python
  • jQuery
  • PHP
  • cURL
import requests

import json

import time

url = 'https://api.chooch.ai/predict/face?url=https://choochdashboard.s3.amazonaws.com/base_site/1461123713-esq050116cover001s.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&command=face_detect'

response = requests.post(url)

json_data = json.loads(response.content)

print(json_data)
 
var settings = {

"url": "https://api.chooch.ai/predict/face?url=https://choochdashboard.s3.amazonaws.com/base_site/1461123713-esq050116cover001s.jpg&command=face_detect&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

"method": "GET",

"timeout": 0,

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/face?url=https://choochdashboard.s3.amazonaws.com/base_site/1461123713-esq050116cover001s.jpg&command=face_detect&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,

CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "GET",

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request GET "https://api.chooch.ai/predict/face?url=https://choochdashboard.s3.amazonaws.com/base_site/1461123713-esq050116cover001s.jpg&command=face_detect&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19"

LOCAL IMAGE POST

  • Python
  • jQuery
  • PHP
  • cURL
import requests

import json

import time

url = 'https://api.chooch.ai/predict/face?apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&command=face_detect'

files = {'image': open('local_image.jpg', 'rb')} 

response = requests.post(url, files=files)

json_data = json.loads(response.content)

print(json_data)
 
var form = new FormData();

form.append("image", "local_file");

var settings = {

"url": "https://api.chooch.ai/predict/face?person_id_filter=-1&model_id=5&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&face_live=1",

"method": "POST",

"timeout": 0,

"processData": false,

"mimeType": "multipart/form-data",

"contentType": false,

 "data": form

};

$.ajax(settings).done(function (response) {

console.log(response);

});
 
<?php

$curl = curl_init();

curl_setopt_array($curl, array(

CURLOPT_URL => "https://api.chooch.ai/predict/face?person_id_filter=-1&model_id=5&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19&face_live=1",

CURLOPT_RETURNTRANSFER => true,

CURLOPT_ENCODING => "",

CURLOPT_MAXREDIRS => 10,

CURLOPT_TIMEOUT => 0,


CURLOPT_FOLLOWLOCATION => false,

CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,

CURLOPT_CUSTOMREQUEST => "POST",

CURLOPT_POSTFIELDS => array('image'=> new CURLFILE('local_file')),

));

$response = curl_exec($curl);

$err = curl_error($curl);

curl_close($curl);

if ($err) {

echo "cURL Error #:" . $err;

} else {

echo $response;

} ?>
 
curl --location --request POST "https://api.chooch.ai/predict/face?command=face_detect&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19" --form "image=@local_file"

JSON RESPONSE

{
    face_count: 1,
    post_type: "face_detection",
    faces_detected: 
    [
        {
            confidence: 0.9999940395355225,
            order: 1,
            coordinates: 
                {
                    xmin: 1402,
                    ymin: 158,
                    ymax: 506,
                    xmax: 1657
                }
        }
    ]
}

The response fields are:

  • face_count: Displays the number of faces in the image
  • coordinates: Coordinates of the detected face based on pixels. The format for the coordinates is xmin, ymin ,xmax, ymax

RESPONSE

{
    status: "Indexing Complete",
    video_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_real.mp4",
    image_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1.jpg",
    file_id: "ec5e7dbe-23ea-41bb-b846-25394193e7fe",
    is_match_result: true,
    face_live_result: "live",
    post_type: "face_live_detection"
}

The response fields are:

  • video_url: URL of the video file.
  • image_url: URL of the image file.
  • file_id: Unique id of post
  • is_match_result: True if the Face in the image and video are a match, False if they do not match.
  • face_live_result: True if the Face in the video is Real (Not Spoofed) False if the Face is Fake (Spoofed).

Fake Face Video

https://api.chooch.ai/predict/live_detect/?video_url=https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1_fake_2.mp4&image_url=https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19

RESPONSE

{
    status: "Indexing Complete",
    video_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1_fake_2.mp4",
    image_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1.jpg",
    file_id: "131f6c1f-a889-4049-89cf-b7cd53708246",
    is_match_result: true,
    face_live_result: "not-live",
    post_type: "face_live_detection"
}

The response fields are:

  • video_url: URL of the video file.
  • image_url: URL of the image file.
  • file_id: Unique id of post
  • is_match_result: True if the Face in the image and video are a match, False if they do not match.
  • face_live_result: True if the Face in the video is Real (Not Spoofed) False if the Face is Fake (Spoofed).

Get Face Authentication Video Result

https://api.chooch.ai/predict/live_detect/?file_id= ec5e7dbe-23ea-41bb-b846-25394193e7fe&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19

RESPONSE

{
    status: "Indexing Complete",
    video_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_real.mp4",
    image_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1.jpg",
    file_id: "ec5e7dbe-23ea-41bb-b846-25394193e7fe",
    is_match_result: true,
    face_live_result: "live",
    post_type: "face_live_detection"
}

The response fields are:

  • video_url: URL of the video file.
  • image_url: URL of the image file.
  • file_id: Unique id of post
  • is_match_result: True if the Face in the image and video are a match, False if they do not match.
  • face_live_result: True if the Face in the video is Real (Not Spoofed) False if the Face is Fake (Spoofed).

Post Face Live Detection Video

  • Python
import requests

import json

import time

video_url = https://chooch-share.s3.amazonaws.com/live-detection/Hakan_real.mp4

# fake video test if you want

# video_url =  https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1_fake_2.mp4

image_url = "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1.jpg"

api_key = "346g5717-1sd3-35h6-9104-b8h5c819dn19"

url = "https://api.chooch.ai/predict/live_detect/?video_url={}&image_url={}&apikey={}".format(video_url, image_url, api_key)

response = requests.post(url)

json_data = json.loads(response.content)

print(json_data)

SAMPLE RESPONSE

{
    status: "Waiting to be processed",
    video_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_real.mp4",
    image_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1.jpg",
    file_id: "24fd36c9-f804-4a56-af0d-34406504d3b8",
    is_match_result: false,
    face_live_result: "Waiting to be processed",
    post_type: "face_live_detection"
}

The response fields are:

  • video_url: URL of the video file.
  • image_url: URL of the image file.
  • file_id: Unique id of post
  • is_match_result: True if the Face in the image and video are a match, False if they do not match.
  • face_live_result: True if the Face in the video is Real (Not Spoofed) False if the Face is Fake (Spoofed).

Get Face Live Result

  • Python
import requests

import json

import time

ile_id = "8726799d-ec23-450c-a229-ccdc543b2d5e"

api_key = "346g5717-1sd3-35h6-9104-b8h5c819dn19"

url = "https://api.chooch.ai/predict/live_detect/?file_id={}&apikey={}".format(file_id, api_key)

response = requests.post(url)

json_data = json.loads(response.content)

print(json_data)

SAMPLE RESPONSE

{
    status: "Indexing Complete",
    video_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_real.mp4",
    image_url: "https://chooch-share.s3.amazonaws.com/live-detection/Hakan_1.jpg",
    file_id: "ec5e7dbe-23ea-41bb-b846-25394193e7fe",
    is_match_result: true,
    face_live_result: "live",
    post_type: "face_live_detection"
}

The response fields are:

  • video_url: URL of the video file.
  • image_url: URL of the image file.
  • file_id: Unique id of post
  • is_match_result: True if the Face in the image and video are a match, False if they do not match.
  • face_live_result: True if the Face in the video is Real (Not Spoofed) False if the Face is Fake (Spoofed).
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