Table of Contents

Target image list query

Cloud Recognition (CRS) databases usually store massive numbers of target images. To help developers quickly locate and manage this data, this chapter describes target image viewing, paginated query, and details.

Manage target image collections through EasyAR Web

In the visual interface, the system displays target images as a paginated list by default and sorts them in reverse order by last modified time (the latest changes are listed first).

Target image collection

Operation path: log in to EasyAR Web [Developer Center] -> [Cloud Recognition Management] -> select gallery -> click [Manage].

In this interface, you can perform the following operations:

  • List browsing: view the target image collection displayed by page.

  • Details entry: click [Manage] for button 1 in the image to enter the details page of this target image.

  • Precise search: input box 2 supports the following two search methods:

    • Search by name: if your system names images by rules, such as in-app IDs, you can quickly locate them by name.
    • Search by TargetId: for example, after you obtain a specific targetId through the similar image query API, you can query its detailed configuration here.

    filter

Target image details

After clicking into the details page, you can view the complete properties of the target image, including:

  • Grayscale image
  • Image name: custom target image identifier.
  • TargetId: unique ID generated by the system.
  • Status: shows whether the current target image is active or disabled.
  • Quality score: a quantitative score for recognition and tracking performance. For details, refer to target image recognition difficulty rating.
  • Custom Meta: metadata associated with this target image, such as model URL.

detail

Query target image collections using API

For developers who need integration with their own backend, REST API management is recommended.

Reference document: Target image collection list API

Preparation checklist

Before sending a request, make sure the following information is ready. For details, refer to API call preparation checklist:

  • CRS AppId
  • API Key / API Secret or Token
  • Server-end URL: target image management URL address, https uses port 443

Replace the placeholders with actual parameters and run the curl script.

  • Your-Server-side-URL -> actual API host
  • Your-Token -> actual API Key Authorization Token
  • Your-CRS-AppId -> your appId
curl -X GET "https://<Your Server-side-URL>/targets/infos?appId=<Your-CRS-AppId>" \
  -H "Content-Type: application/json" \
  -H "Authorization: <Your-Token>" 

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