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Recognize photo app

Simple app to recognize photo objects using Microsoft Azure Cognitive Services
Explore the docs »

View Demo · Report Bug · Request Feature

Table of Contents

About The Project

Product Name Screen Shot

Project is an simple app using Microsoft Azure Cognitive Services which can be used for recognizing objects on images.

Built With

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

  1. You need to install Amazon Corretto 11 openJDK to run an app.

  2. If you want to go along with Installation from sources - you will need also Maven

Installation from sources

  1. Clone the repo
git clone https::https://github.com/tomaszkyc/recognize-photo-app.git
  1. Go to directory where repo exists
cd recognize-photo-app
  1. Build with Maven
mvn clean package
  1. Run using existing scripts:
  • Mac
    ./run.sh
  • Windows
    run.bat

Installation using builded jar

  1. Download jar from releases page

  2. Run jar using command below:

java -jar <path-to-downloaded-jar>

Usage

  1. To use this app we need to generate our own credentails to Microsoft Azure Computer Vision service. In this link there's an how to guide.

  2. Open an app and go to

Edit -> Set API key

as below: path to setting API key

  1. Put your generated API Endpoint and API Key in appropriate fiels and click Save API credentials

set api credentials window

  1. Open image using
File -> Open

as below: open image file

  1. Run analize image by clicking Start analize image button as below:

start image analize

  1. After analize will be finished - you can click on Show results button to open new window with details about image as below:

window which shows image details

or click Export results button to export results to PDF file. After export you will get an alert:

window with info about PDF export

Document looks as below:

first page of generated PDF second page of generated PDF

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Email - [email protected]

Project Link: https://github.com/tomaszkyc/recognize-photo-app

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App which recognize items on photo using Microsoft Azure AI services

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