Cognitive-Vision-Android | Android SDK for the Microsoft Computer Vision API | SDK library

by microsoft Java Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Cognitive-Vision-Android Summary

Cognitive-Vision-Android is a Java library typically used in Utilities, SDK, Xamarin applications. Cognitive-Vision-Android has no bugs, it has no vulnerabilities and it has low support. However Cognitive-Vision-Android build file is not available and it has a Non-SPDX License. You can download it from GitHub.

This repo contains the Android client library & sample for the Microsoft Computer Vision API, an offering within Microsoft Cognitive Services, formerly known as Project Oxford.

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Quality

Security

License

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Support

Cognitive-Vision-Android has a low active ecosystem.

It has 128 star(s) with 83 fork(s). There are 68 watchers for this library.

It had no major release in the last 6 months.

There are 18 open issues and 10 have been closed. On average issues are closed in 58 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Cognitive-Vision-Android is current.

Quality

Cognitive-Vision-Android has 0 bugs and 0 code smells.

Security

Cognitive-Vision-Android has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Cognitive-Vision-Android code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Cognitive-Vision-Android has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

Cognitive-Vision-Android releases are not available. You will need to build from source code and install.

Cognitive-Vision-Android has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Cognitive-Vision-Android saves you 1084 person hours of effort in developing the same functionality from scratch.

It has 2454 lines of code, 149 functions and 64 files.

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

Top functions reviewed by kandi - BETA

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

Detects an OCR text from an input stream
Gets the URL
Attempts to retrieve the OCR text from the specified URL
Gets the URL
Creates a Handwriting operation
Generate thumbnail
Generate thumbnail thumbnail
Analyze an image stream
Analyze an image
Descends the specified input stream
Describe the analysis
Performs a Handwriting operation
Process the image
Analyze image
Invoked when an image is selected
Processes image
Takes a photo from the view
List all models
Initializes the view
Initialize the view
Handles an image selection
Method called when an image is selected
Callback when the result is selected
Callback when an image is selected
This method is called when an image is selected
Processes the image
Select an image

Get all kandi verified functions for this library.

Cognitive-Vision-Android Key Features

No Key Features are available at this moment for Cognitive-Vision-Android.

Cognitive-Vision-Android Examples and Code Snippets

No Code Snippets are available at this moment for Cognitive-Vision-Android.

Community Discussions

Trending Discussions on Cognitive-Vision-Android

How to differentiate between text and number in scanned text?

QUESTION

How to differentiate between text and number in scanned text?

Asked 2017-Mar-31 at 06:59

I am using Microsoft Cognitive Services Computer Vision Api as an OCR service to read food menus.

I am able to scan the menu successfully but now i am want to save the dish name part and price part in two different arrays.

The result now after scanning is totally devastated because of special characters like rupee sign,parenthesis,menu-number.

I just want the dish name and price without rupee sign. Can someone tell me how could I achieve that? Here is github link and some code that could help you in assisting me:

...

ANSWER

Answered 2017-Mar-31 at 06:59

I found the answer, thanks for your help guys!!

I obtained only characters by using this regex:

Source https://stackoverflow.com/questions/43114293

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

Vulnerabilities

No vulnerabilities reported

Install Cognitive-Vision-Android

First, you must obtain a Computer Vision API key by following the instructions on our website. Start Android Studio and open project from Vision > Android > Sample folder. In Android Studio -> "Project" panel -> "Android" view, open file "app/res/values/strings.xml", and find the keys subscription_key and subscription_apiroot. Replace the placeholder values with those obtained in step 1 above. If you cannot find the file "strings.xml", it is in folder "Sample\app\src\main\res\values\string.xml". In Android Studio, select menu "Build > Make Project" to build the sample, and "Run" to launch this sample app.
First, you must obtain a Computer Vision API key by following the instructions on our website.
Start Android Studio and open project from Vision > Android > Sample folder.
In Android Studio -> "Project" panel -> "Android" view, open file "app/res/values/strings.xml", and find the keys subscription_key and subscription_apiroot. Replace the placeholder values with those obtained in step 1 above. If you cannot find the file "strings.xml", it is in folder "Sample\app\src\main\res\values\string.xml".
In Android Studio, select menu "Build > Make Project" to build the sample, and "Run" to launch this sample app.

Support

We welcome contributions. Feel free to file issues and pull requests on the repo and we'll address them as we can. Learn more about how you can help on our Contribution Rules & Guidelines.

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