You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 28 Next »

The Brown Dog Windows client provides users with an easy to use graphical interface to Brown Dog services, performing conversions, extractions, and providing another level of search of files within folders based on extracted metadata.  Below we describe how to use the Windows client.

Installation and Setup

Windows users can go to Brown Dog Clients to download BD windows Client Installer and install it on Windows (7, 10).

After installation you can setup the client to utilize a specific DTS instance by going to settings and setting the server along with your credentials for that server:

Conversions

To convert a file right click on a file and selected "Brown Dog DTS → Convert":


The Windows client will show the reachable output formats from the files current format.  Select the desired output format and press "Submit":

Entire folders can also be converted by selecting "Brown Dog → Convert":

Extractions

Extraction on image file.

User can execute extraction on a file by right clicking it and selecting ``Extraction'' from pop-up menu.

The extraction output file is json file, which is named as the file name. For example, in above figures, user runs extraction on file ``browndog.png'', and after completion, extraction output file will be written as ``browndog.json''in the same working directory.

Finding Similar Files

User can index image files in a target folder, and then pick an indexed image and right click ``Find Similar'' to extract the similarity result from all indexed images.

Above figures show how user can execute ``Find Similar'' among images under ``caltech101'' folder. First, user needs to do ``Index'' to index all images under ``caltech101'' folder (left figure), when indexing is done, a ``.index.tsv'' file will be generated under this folder.  Then user can browser indexed images in ``caltech101'' folder and select an image and right click on it to execute ``Find Similar''. In this example, user selects an image file ``dollar_bill.jpg'' and the output file of ``dollar_billFind.json'' file will be generated under the same working directory.

  • No labels