Giter Club home page Giter Club logo

liveedgedetection's Introduction

Release

LiveEdgeDetection

LiveEdgeDetection is an Android document detection library built on top of OpenCV. It scans documents from camera live mode and allows you to adjust crop using the detected 4 edges and performs perspective transformation of the cropped image.

It works best with a dark background.

JavaDocs

You can browse the JavaDocs for the latest release

Download apk

Try the sample app

Screenshots

Use darker bg Move closer Move away Adjust angle Hold still Adjust crop Result

Integrating into your project

This library is available in JitPack.io repository. To use it, make sure to add the below inside root build.gradle file

allprojects {
    repositories {
        mavenCentral()
        maven { url "https://jitpack.io" }
    }
}

and add the repository's url to the app's build.gradle file.

dependencies {
   compile 'com.github.adityaarora1:LiveEdgeDetection:1.0.6'
   
    // Other dependencies your app might use
}

Usage

Out of the box it uses OpenCV.

  1. Start startActivityForResult from your activity
startActivityForResult(new Intent(this, ScanActivity.class), REQUEST_CODE);
  1. Get a file path for cropped image on onActivityResult
String filePath = data.getExtras().getString(ScanConstants.SCANNED_RESULT);
Bitmap baseBitmap = ScanUtils.decodeBitmapFromFile(filePath, ScanConstants.IMAGE_NAME);
  1. Display the image using TouchImageView
<com.adityaarora.liveedgedetection.view.TouchImageView
        android:id="@+id/scanned_image"
        android:layout_width="match_parent"
        android:layout_height="match_parent"
        android:scaleType="center" />

Help

Versioning policy

We use Semantic Versioning 2.0.0 as our versioning policy.

Bugs, Feature requests

Found a bug? Something that's missing? Feedback is an important part of improving the project, so please open an issue.

Code

Fork this project and start working on your own feature branch. When you're done, send a Pull Request to have your suggested changes merged into the master branch by the project's collaborators. Read more about the GitHub flow.

License

Copyright 2018 Aditya Arora.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

Donation

Donate paypal

Paypal

liveedgedetection's People

Contributors

adityaarora1 avatar vinisauter avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.