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ViSearch
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README.md

README.md

ViSearch PHP SDK

Build Status


Table of Contents

  1. Overview
  2. Setup
  3. Initialization
  4. Indexing Images
  5. Soluitons
  6. Search Results
  7. Advanced Search Parameters
  8. Code Samples

1. Overview

ViSearch is an API that provides accurate, reliable and scalable image search. ViSearch API provides endpoints that let developers index their images and perform image searches efficiently. ViSearch API can be easily integrated into your web and mobile applications. More details about ViSearch API can be found in the documentation.

The ViSearch PHP SDK is an open source software for easy integration of ViSearch Search API with your application server. It provides three search methods based on the ViSearch Search API - pre-indexed search, color search and upload search. The ViSearch PHP SDK also provides an easy integration of the ViSearch Data API which includes data inserting and data removing. For source code and references, visit the github repository.

Current stable version: 1.2.0

Minimum requirement: php5 and php5-curl

2. Setup

You can get the source code of the SDK and demos from the Github repo.

Download the ViSearch SDK and place the ViSearch to your project directory.

Include ViSearch API into your project.

//To Include ViSearch API
require_once 'pathTo/ViSearch/viSearch.php';

3. Initialization

To start using ViSearch API, initialize ViSearch client with your ViSearch API credentials. Your credentials can be found in ViSearch Dashboard:

//To Use ViSearch API
$service = new ViSearch($access_key,$secret_key);

Please init ViSearch client in this way if you connect to another endpoint rather than default(https://visearch.visenze.com)

$service = new ViSearch($access_key,$secret_key, "https://custom-visearch.yourdomain.com");

4. Indexing Images

4.1 Indexing Your First Images

Built for scalability, ViSearch API enables fast and accurate searches on high volume of images. Before making your first image search, you need to prepare a list of images and index them into ViSearch by calling the /insert endpoint. Each image must have a unique identifier and a publicly downloadable URL. ViSearch will parallelly fetch your images from the given URLs, and index the downloaded for searching. After the image indexes are built, you can start searching for [similar images using the unique identifier] (https://github.com/visenze/visearch-sdk-java/blob/master/README.md#51-pre-indexed-search), [using a color] (https://github.com/visenze/visearch-sdk-java/blob/master/README.md#52-color-search), or [using another image] (https://github.com/visenze/visearch-sdk-java/blob/master/README.md#53-upload-search).

To index your images, prepare a list of Images and call the /insert endpoint.

// the list of images to be indexed
$images = array();
// the unique identifier of the image 'im_name', the publicly downloadable url of the image 'im_url'
$images[] = array('im_name'=>'red_dress','im_url'=>'http://mydomain.com/images/red_dress.jpg');
$images[] = array('im_name'=>'blue_dress','im_url'=>'http://mydomain.com/images/blue_dress.jpg');
// calls the /insert endpoint to index the image
$response = $service->insert($images);

Each insert call to ViSearch accepts a maximum of 100 images. We recommend indexing your images in batches of 100 for optimized image indexing speed.

4.2 Image with Metadata

Images usually come with descriptive text or numeric values as metadata, for example: title, description, category, brand, and price of an online shop listing image caption, tags, geo-coordinates of a photo.

ViSearch combines the power of text search with image search. You can index your images with metadata, and leverage text based query and filtering for even more accurate image search results, for example: limit results within a price range limit results to certain tags, and some keywords in the captions For detailed reference for result filtering, see Advanced Search Parameters.

To index your images with metadata, first you need to configure the metadata schema in ViSearch Dashboard (link to). You can add and remove metadata keys, and modify the metadata types to suit your needs.

Let's assume you have the following metadata schema configured:

Name Type Searchable
title string true
description text true
price float true

Then index your image with title, decription, and price:

$images[] = array('im_name'=>'blue_dress','im_url'=>'http://mydomain.com/images/blue_dress.jpg','title'=>'Blue Dress', 'description'=>'A blue dress', 'price'=> 100.0f);
// calls the /insert endpoint to index the image
$response = $service->insert($images);

Metadata keys are case-sensitive, and metadata without a matching key in the schema will not be processed by ViSearch. Make sure to configure metadata schema for all of your metadata keys.

4.3 Updating Images

If you need to update an image or its metadata, call the insert endpoint with the same unique identifier of the image. ViSearch will fetch the image from the updated URL and index the new image, and replace the metadata of the image if provided.

$images[] = array('im_name'=>'blue_dress','im_url'=>'http://mydomain.com/images/blue_dress.jpg','title'=>'Blue Dress', 'description'=>'A blue dress', 'price'=> 100.0f);
// calls the /insert endpoint to index the image
$response = $service->update($images);

Each insert call to ViSearch accepts a maximum of 100 images. We recommend updating your images in batches of 100 for optimized image indexing speed.

4.4 Removing Images

In case you decide to remove some of the indexed images, you can call the /remove endpoint with the list of unique identifier of the indexed images. ViSearch will then remove the specified images from the index. You will not be able to perform pre-indexed search on this image, and the image will not be found in any search result.

$response = $service->remove(array("red_dress","blue_dress"));

We recommend calling remove in batches of 100 images for optimized image indexing speed.

5. Solution APIs

5.1 Visually Similar Recommendations

GET /search

Visually Similar Recommendations solution is to search for visually similar images in the image database giving an indexed image’s unique identifier (im_name).

$service = new ViSearch($access_key,$secret_key);
$service->search("blue_dress");

5.2 Search by Image

POST /uploadsearch

Search by image solution is to search similar images by uploading an image or providing an image url. Image class is used to perform the image encoding and resizing. You should construct the Image object and pass it to uploadsearch to start a search.

Using an image from a local file path

$image = new Image($imagePath);
$response = $service->uploadsearch($image);

For optimal results, we recommend images around 1024x1024 pixels. Low resolution images may result in unsatisfying search results.
If the image is larger, we recommended to resize the image to 1024x1024 pixels before sending to API. Too high resolution images may result in timeout.
The maximum file size of an image is 10MB.

Alternatively, you can pass an image url directly to uploadsearch to start the search.

$image = new Image('http://mydomain.com/images/red_dress.jpg');
$response = $service->uploadsearch($image);

If you are performing refinement on an uploaded image, you can pass the im_id returned in the search result to start the search instead of uploading the image again. Note that in the presence of both im_id and image file path or url, im_id will be considered as the image for the uploadsearch.

Sample response:

{
    "status": "OK",
    "method": "uploadsearch",
    "error": [],
    "page": 1,
    "limit": 10,
    "total": 1000,
    "result": [
        .....
    ],
    "im_id": "634b3958037f12a.jpg"
}

Sample code:

$image = new Image('http://mydomain.com/images/red_dress.jpg');
$response = $service->uploadsearch($image);

//get im_id from previous request
$im_id = $response->im_id;

//you may create a new Image object and set the im_id or use previous Image object
//to set the file path for new Image object, use this: $new_image->set_file_path(image_path)
$new_image = new Image();
$new_image->set_im_id($im_id);
$response = $service->uploadsearch($new_image);

5.2.1 Selection Box

If the object you wish to search for takes up only a small portion of your image, or other irrelevant objects exists in the same image, chances are the search result could become inaccurate. Use the Box parameter to refine the search area of the image to improve accuracy. Noted that the box coordinated is setted with respect to the original size of the image passed, it will be automatically scaled to fit the resized image for uploading:

$image = new Image(imagePath);
// create the box to refine the area on the searching image
// Box(x1, y1, x2, y2) where (0,0) is the top-left corner
// of the image, (x1, y1) is the top-left corner of the box,
// and (x2, y2) is the bottom-right corner of the box.
$box = new Box(0,0,10,10);
$image->set_box($box);

5.3 Search By Color

Search by color solution is to search images with similar color by providing a color code. The color code should be in Hexadecimal and passed to the colorsearch service.

//for images with fine details, use HIGH resize settings 1024 x 1024 and jpeg 90 quality
$image = new Image(imagePath, $resizeSettings->getHigh());

Or, provide the customized resize settings:

5.4 Multiple Product Search

Multiple Product Search solution is to search similar images by uploading an image or providing an image url, similar to Search by Image. Multiple Product Search is able to detect all objects in the image and return similar images for each at one time.

Using an image from a local file path

$image = new Image($imagePath);
$response = $service->discoversearch($image);

Alternatively, you can pass an image url directly to uploadsearch to start the search.

$image = new Image('http://mydomain.com/images/red_dress.jpg');
$response = $service->discoversearch($image);

6. Search Results

ViSearch returns a maximum number of 1000 most relevant image search results. You can provide pagination parameters to control the paging of the image search results.

Pagination parameters:

Name Type Description
page Integer Optional parameter to specify the page of results. The first page of result is 1. Defaults to 1.
limit Integer Optional parameter to specify the result per page limit. Defaults to 10.
$page = 1;
$limit = 25;
$response = $service->uploadsearch($image, $page, $limit);

7. Advanced Search Parameters

7.1 Retrieving Metadata

To retrieve metadata of your image results, provide the list of metadata keys for the metadata value to be returned in the fl (field list) property:

$fl = array("price","brand","title","im_url");
$response = $service->uploadsearch($image, $page, $limit, $fl);

To retrieve all metadata of your image results, specify get_all_fl parameter and set it to True:

$get_all_fl = True
$fq = array();
$response = $service->uploadsearch($image, $page, $limit, $fl, $fq, $get_all_fl);

Only metadata of type string, int, and float can be retrieved from ViSearch. Metadata of type text is not available for retrieval.

7.2 Filtering Results

To filter search results based on metadata values, provide a map of metadata key to filter value in the fq (filter query) property:

$fq = array("im_cate" => "bags");
$response = $service->uploadsearch($image, $page, $limit, $fl, $fq);

Querying syntax for each metadata type is listed in the following table:

Type FQ
string Metadata value must be exactly matched with the query value, e.g. "Vintage Wingtips" would not match "vintage wingtips" or "vintage"
text Metadata value will be indexed using full-text-search engine and supports fuzzy text matching, e.g. "A pair of high quality leather wingtips" would match any word in the phrase
int Metadata value can be either:
  • exactly matched with the query value
  • matched with a ranged query minValue,maxValue, e.g. int value 1, 99, and 199 would match ranged query 0,199 but would not match ranged query 200,300
float Metadata value can be either
  • exactly matched with the query value
  • matched with a ranged query minValue,maxValue, e.g. float value 1.0, 99.99, and 199.99 would match ranged query 0.0,199.99 but would not match ranged query 200.0,300.0

7.3 Result Score

ViSearch image search results are ranked in descending order i.e. from the highest scores to the lowest, ranging from 1.0 to 0.0. By default, the score for each image result is not returned. You can turn on the score property to retrieve the scores for each image result:

$score = true;
$response = $service->uploadsearch($image, $page, $limit, $fl, $fq, $get_all_fl, $score);

If you need to restrict search results from a minimum score to a maximum score, specify the score_min and/or score_max parameters:

Name Type Description
score_min Float Minimum score for the image results. Default is 0.0.
score_max Float Maximum score for the image results. Default is 1.0.
$score_min = 0.5;
$score_max = 0.8;
$response = $service->uploadsearch($image, $page, $limit, $fl, $fq, $get_all_fl, $score, $score_max, $score_min);

7.4 Automatic Object Recognition Beta

With Automatic Object Recognition, ViSearch /uploadsearch API is smart to detect the objects present in the query image and suggest the best matched product type to run the search on.

You can turn on the feature in upload search by setting the API parameter "detection=all". We are now able to detect various types of fashion items, including Top, Dress, Bottom, Shoe, Bag, Watch and Indian Ethnic Wear. The list is ever-expanding as we explore this feature for other categories.

Notice: This feature is currently available for fashion application type only. You will need to make sure your app type is configurated as "fashion" on ViSenze dashboard.

$detection = 'all';
$response = $service->uploadsearch($image, $page, $limit, $fl, $fq, $get_all_fl, $score, $score_max, $score_min, $detection);

You could also recognize objects from a paticular type on the uploaded query image through configuring the detection parameter to a specific product type as "detection={type}". Our API will run the search within that product type.

Sample request to detect bag in an uploaded image:

$detection = 'bag';
$response = $service->uploadsearch($image, $page, $limit, $fl, $fq, $get_all_fl, $score, $score_max, $score_min, $detection);

The detected product types are listed in product_types together with the match score and box area of the detected object. Multiple objects can be detected from the query image and they are ranked from the highest score to lowest. The full list of supported product types by our API will also be returned in product_types_list.

8. Code Samples

Example code of the ViSearch PHP SDK can be found in visearch-php-example.