text-detector | application contains all code from my article | REST library

by moyheen Java Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | text-detector Summary

text-detector is a Java library typically used in Web Services, REST applications. text-detector has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This application contains all the code from my article on the Text Detector API.

Support

Quality

Security

License

Reuse

Support

text-detector has a low active ecosystem.

It has 20 star(s) with 9 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 868 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of text-detector is current.

Quality

text-detector has 0 bugs and 4 code smells.

Security

text-detector has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

text-detector code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

text-detector is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

text-detector releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

text-detector saves you 124 person hours of effort in developing the same functionality from scratch.

It has 312 lines of code, 4 functions and 11 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed text-detector and discovered the below as its top functions. This is intended to give you an instant insight into text-detector implemented functionality, and help decide if they suit your requirements.

Detect text inside the View
Initializes the activity

Get all kandi verified functions for this library.

text-detector Key Features

No Key Features are available at this moment for text-detector.

text-detector Examples and Code Snippets

No Code Snippets are available at this moment for text-detector.

Community Discussions

Trending Discussions on text-detector

react-native-text-detector worked fine in android but why it always returned false in iOS?

Detect text in an image

Is there a way I can detect text from an Image using Expo React Native?

QUESTION

react-native-text-detector worked fine in android but why it always returned false in iOS?

Asked 2020-Jan-15 at 12:15

First, I used https://github.com/jeanpan/react-native-camera-roll-picker#readme to get an image from photo library, it returned a uri: ph://11A68DD6-A651-462D-BDAB-68FB853ED141/L0/001

Then, I used https://github.com/zsajjad/react-native-text-detector to get text from that image

It worked fine in android but it always returned false in iOS, and I found the following error in console log

NSURLConnection finished with error - code -1002

For more information, the image control can show that image correctly

Here is my source code : https://github.com/haison8x/react-native-test-ocr

Is there any problem with that URI or with application permission?

...

ANSWER

Answered 2020-Jan-15 at 12:15

Due to the sandbox policy of Apple https://developer.apple.com/library/archive/documentation/Security/Conceptual/AppSandboxDesignGuide/AboutAppSandbox/AboutAppSandbox.html, your app cannot read the photo in gallery directly, it will encounter the error: NSURLConnection finished with error - code -1002.

Here is my approach:

Use RNFS.copyAssetsFileIOS copy photo to temp file at your app documents
Use react-native-text-detector to analyze that temp file

The full example is pushed to https://github.com/haison8x/react-native-test-ocr

Source https://stackoverflow.com/questions/59726747

QUESTION

Detect text in an image

Asked 2019-Dec-04 at 13:14

I'm working on a Python project. One of the functionalities i need to create is to be able to detect whether an image has text. I do not need any kind of bounding box, I only need true or false, regardless the amount of text the image has. I've been following the steps here but, as all the links i managed to found, it eventually creates the bounding boxes.

I have two questions:

Is there any text detection mecanism that i can use to detect text without all the overhead of the bounding box process?
OpenCV uses a neural net to detect text which is an exteneral .PB file; i need to load it to use the nn. Is there any way to embed this file within the .py file? This would avoid having two files. The idea behind this is to be able to import the .py file and use it as a library, disregarding the .pb file (which is the model that detects text).

Thank you!

...

ANSWER

Answered 2019-Dec-04 at 13:14

Is there any text detection mecanism that i can use to detect text without all the overhead of the bounding box process?

The bounding boxes are the result of doing all the detection processing, and as such represent an intrinsic part of the process. If you don't care where the text is, you are free to ignore the resulting bounding boxes in your own code. But in order to detect whether there is text in the image, the algorithm (of whatever type) has to detect where the text is.

The DNN method used in the linked article may be overkill if you don't care about the results. You could always try some other text detection algorithms and try to profile them to find a less computationally expensive one for your application. There will always be tradeoffs.

OpenCV uses a neural net to detect text which is an exteneral .PB file; i need to load it to use the nn. Is there any way to embed this file within the .py file? This would avoid having two files. The idea behind this is to be able to import the .py file and use it as a library, disregarding the .pb file (which is the model that detects text).

Yes, you could embed the contents of the model .pb file directly into your Python code as a buffer object, and then use the alternate model loading mechanism to read the model from a buffer:

Source https://stackoverflow.com/questions/59167696

QUESTION

Is there a way I can detect text from an Image using Expo React Native?

Asked 2019-Apr-17 at 18:17

I am working with Expo, React Native and I want to to be able to detect text from images. Is there an package i can work with to achieve this?

I am using Expo camera module to snap the picture and supply the URI to the text detector I have tried using react-native-text-detector but I am getting the error that the function detectFromUri is not defined. I have also tried with tesserect.js but it fails on import with "unable to resolve variable location".

...

ANSWER

Answered 2019-Apr-17 at 09:05

Is your project created with expo-cli?

If yes, Expo is not supporting OCR currently. There is a feature request on canny.io but you can't know for sure when it will become available. Your only choice is to use an OCR service like this one.Internet connectivity will be required.

If not, (and the project is created with react-native-cli) you should be able to successfully use react-native-text-detector. Just make sure you link the package correctly. Docs here

Source https://stackoverflow.com/questions/55723491

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install text-detector

You can download it from GitHub.
You can use text-detector like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the text-detector component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: