mlkit | sample apps to demonstrate how to use Google | Machine Learning library

by googlesamples Java Version: 1.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | mlkit Summary

mlkit is a Java library typically used in Artificial Intelligence, Machine Learning applications. mlkit has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However mlkit build file is not available. You can download it from GitHub.

A collection of quickstart samples demonstrating the ML Kit APIs on Android and iOS. Note: due to how this repo works, we no longer accept pull requests directly. Instead, we'll patch them internally and then sync them out.

Support

Quality

Security

License

Reuse

Support

mlkit has a medium active ecosystem.

It has 2858 star(s) with 2744 fork(s). There are 123 watchers for this library.

It had no major release in the last 12 months.

There are 84 open issues and 482 have been closed. On average issues are closed in 80 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mlkit is 1.0

Quality

mlkit has 0 bugs and 0 code smells.

Security

mlkit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mlkit code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mlkit is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

mlkit releases are available to install and integrate.

mlkit has no build file. You will be need to create the build yourself to build the component from source.

mlkit saves you 10431 person hours of effort in developing the same functionality from scratch.

It has 21199 lines of code, 932 functions and 321 files.

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

Top functions reviewed by kandi - BETA

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

Bind the autoML use case .
Sets up and logs the event and updates statistics .
Classify landmarks .
Example of how to create a default object detector options .
Example of the Face detector options .
Log extra extra extra information .
Sets the size preference s size preferences .
Example of scanning barcodes .
Creates the camera source .
Attempts to reload the image .

Get all kandi verified functions for this library.

mlkit Key Features

No Key Features are available at this moment for mlkit.

mlkit Examples and Code Snippets

No Code Snippets are available at this moment for mlkit.

Community Discussions

Trending Discussions on mlkit

How to await Task completion and return a variable?

How to draw a rectangle with the real scale of the object?

Google MLKIt TextRecognition on iOS return always empty result

CocoaPods could not find compatible versions for pod "Firebase/CoreOnly" on React Native ios

I'm having an error building my application in android studio

Android studio TTS: Not reading text passed into speak() function

App crash when using Scan Kit on Honor 50

MLKit Digital Ink Recognition throws error when initializing recognizer

Image count is zero

add google ml-kit dependecy outside the app-level gradle file

QUESTION

How to await Task completion and return a variable?

Asked 2022-Mar-23 at 18:26

I am stuck on an attempt to write "idiomatic" Kotlin async code. I am trying to refactor a barcode scanner as a top/ package level function.

How could I make the thread wait for the scanner.process(image) to complete, and return the list of barcodes before continuing?

The code partially shows my "closest" attempt to solve the problem.

...

ANSWER

Answered 2022-Mar-23 at 10:37

You can rewrite the fun runBarcode() as below.

Source https://stackoverflow.com/questions/71585047

QUESTION

How to draw a rectangle with the real scale of the object?

Asked 2022-Mar-01 at 10:08

I'm using the MLKit library for barcode scanning, so I can get a rectangle where is actually the barcode. But I'm getting a rectangle that is little than the barcode and it's not in the right position. So, the scale and the position of the rectangle are wrong.

Can anyone knows how to fix this problem? Is there any method that could re-scale and re-position the rectangle with the real measures?

Thank you :)

Here is my code:

...

ANSWER

Answered 2022-Mar-01 at 10:08

You can take a look at ML Kit sample which contains the CameraX scenario or check here to learn more about the coordinate transformation.

Source https://stackoverflow.com/questions/69840950

QUESTION

Google MLKIt TextRecognition on iOS return always empty result

Asked 2022-Feb-07 at 16:19

I am using react-native, react-native-vision-camera (with frameProcessor) and mlkit to perform in device text recognition.

My code works on Android, but I got always empty results on iOS.

Here is my Objective C implementation:

...

ANSWER

Answered 2022-Feb-07 at 14:15

Solved by updating iPhone iOS version to last version.

Source https://stackoverflow.com/questions/70987534

QUESTION

CocoaPods could not find compatible versions for pod "Firebase/CoreOnly" on React Native ios

Asked 2022-Feb-02 at 19:23

I am trying to install React Native Firebase Mlkit to my existing iOS React Native app. My app is already using various Firebase packages (app, auth, firestore, etc.).

I am following the instructions from the guide. I tried both automatic and manual installation. But when I run pod install, I got this error:

...

ANSWER

Answered 2022-Feb-02 at 19:23

1) First off Firebase/MLVisionTextModel is deprecated (FirebaseMLVisionTextModel has been deprecated in favor of MLKitTextRecognition). You can read the migration guide here (https://developers.google.com/ml-kit/migration)

2) If you ever have errors like was resolved to x.x.x, which depends on Firebase/CoreOnly (= x.x.x) A lot of times you can fix this by adding this below at the very top of your PodFile to specify what version to use.

Source https://stackoverflow.com/questions/70959945

QUESTION

I'm having an error building my application in android studio

Asked 2021-Dec-26 at 10:26

enter image description here

// this is the build.gradle(module:App)

...

ANSWER

Answered 2021-Dec-26 at 10:26

Try adding this in your gradle file :

Source https://stackoverflow.com/questions/70485635

QUESTION

Android studio TTS: Not reading text passed into speak() function

Asked 2021-Dec-19 at 20:25

I'm working on an app which uses MLKit's OCR function to read text from an image, display it to the user and then use Android's TTS but it doesn't seem to be working.

...

ANSWER

Answered 2021-Dec-19 at 20:25

Solved!:

Instead of attempting to call the TTS.speak() function after detectText(), it can be called inside the detectText function as such:

Source https://stackoverflow.com/questions/70365147

QUESTION

App crash when using Scan Kit on Honor 50

Asked 2021-Nov-25 at 07:16

I'm using com.huawei.hms:scan:1.3.2.300

Device: Honor 50, Magic UI 4.2, Android version 11.

The following is the crash log：

java.lang.SecurityException: getNetworkTypeForSubscriber 5 at android.os.Parcel.createExceptionOrNull(Parcel.java:2384) 6 at android.os.Parcel.createException(Parcel.java:2368) 7 at android.os.Parcel.readException(Parcel.java:2351) 8 at android.os.Parcel.readException(Parcel.java:2293) 9 at com.android.internal.telephony.ITelephony$Stub$Proxy.getNetworkTypeForSubscriber(ITelephony.java:8795) 10 at android.telephony.TelephonyManager.getNetworkType(TelephonyManager.java:3102) 11 at android.telephony.TelephonyManager.getNetworkType(TelephonyManager.java:3064) 12 at com.huawei.hms.mlkit.common.ha.d.b(HianalyticsLogUtils.java:68) 13 at com.huawei.hms.mlkit.common.ha.HianalyticsLogProvider.logEnd(HianalyticsLogProvider.java:6315) 14 at com.huawei.hms.ml.camera.g$a.a(HiAnalyticsThread.java:109) 15 at com.huawei.hms.ml.camera.g$a.handleMessage(HiAnalyticsThread.java:78) 16 at android.os.Handler.dispatchMessage(Handler.java:109) 17 at android.os.Looper.loop(Looper.java:228) 18 at com.huawei.hms.ml.camera.g.run(HiAnalyticsThread.java:51)

Please help.

...

ANSWER

Answered 2021-Nov-25 at 06:55

If the SDK version is later than or equal to Android R, you need to apply for READ_PHONE_STATE permissions dynamically in the code. Please check and try again.

The permission code is as follows:

Source https://stackoverflow.com/questions/70106648

QUESTION

MLKit Digital Ink Recognition throws error when initializing recognizer

Asked 2021-Nov-17 at 07:28

I'm developing a Flutter app which makes use of the Digital Ink Recognition of ML Kit to recognize handwriting.

I have the following code to perform the recognition on iOS (swift code).

...

ANSWER

Answered 2021-Nov-17 at 07:28

I found that the issue was linked to the lifecycle management of the ModelManager and recognizer which I was recreating each time I was performing the digital ink recognition.

After changing this behaviour and keeping a reference to them once created, the issue was solved.

This example was helpful to understand how to work with the ModelManager (see implementation of the StrokeManager).

Source https://stackoverflow.com/questions/69704802

QUESTION

Image count is zero

Asked 2021-Nov-15 at 08:38

I am trying to create image classification model using tensorflow lite for android app here: https://www.tensorflow.org/tutorials/images/classification However, I am using my local directory.

Here is my code:

...

ANSWER

Answered 2021-Nov-14 at 00:54

It seems you have images directly in data_dir so you should use *.JPEG to get them in glob()

But from_folder(data_dir) expects images in subfolders which names will be used as labels for images.

ie.

Source https://stackoverflow.com/questions/69958858

QUESTION

add google ml-kit dependecy outside the app-level gradle file

Asked 2021-Nov-10 at 14:04

I'm following Googles instructions on how to implement "Google ML Kit" into my application. It says

...

ANSWER

Answered 2021-Nov-10 at 14:04

Meanwhile I found the problem: The above gradle file belongs to a pure java library that is integrated into android later. ML-Kit apparantly cannot be used in Java projects. It only works if I integrate ML-Kit in pure android gradle projects

Source https://stackoverflow.com/questions/69850317

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

Vulnerabilities

No vulnerabilities reported

Install mlkit

You can download it from GitHub.
You can use mlkit 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 mlkit 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 .

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