MLKit | 🌝 MLKit is a powerful and easy-to-use toolkit | Computer Vision library

by jenly1314 Java Version: 1.4.0 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, Computer Vision applications. MLKit 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, GitLab, Maven.

🌝 MLKit is a powerful and easy-to-use toolkit. With ML Kit, you can easily realize text recognition, barcode recognition, image marking, face detection, object detection and other functions.

Support

Quality

Security

License

Reuse

Support

MLKit has a low active ecosystem.

It has 565 star(s) with 110 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 24 have been closed. On average issues are closed in 68 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MLKit is 1.4.0

Quality

MLKit has no bugs reported.

Security

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

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.

Deployable package is available in Maven.

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

Installation instructions are not available. Examples and code snippets are available.

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.

Call onDraw method
Draw grid scanner
Calculate the current zoom point
Draws the corner
Initialize Viewfinder
Check if a point is single tap
Returns the bitmap form a specific drawable
Reads and returns a bitmap from an imageUri
Returns the orientation tag of the image
Convert hex string to byte array
Analyze image
Release the camera manager
Override this method to initialize the clicklight flashlight
Override this method to initialize the Flashlight View
On sensor changed
Convert byte array to hex string
Analyze image proxy
Handle tap
Initialize view data
Analyzes image proxy
Analyzes the image proxy
Start camera
Zoom to the given ratio

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

Head 3d rotation and position with MLKit PoseDetection

Unknown encoding error when parsing DataMatrix with ISO-8859-1 encoding

google ml kit duplicate dependency

Why are images not being acquired by the analyze() method?

Drawing a Box Around Face To Existed Photos with Google Face Detection ML Kit

Dependencies of an Android plugin for Unity collide with the dependencies downloaded by unity-jar-resolver

Android CameraX use case binding failed

Why does my MLKit model always returns an error when processing an image?

inputImage.getByteBuffer() is null when using AndroidX Camera with MLKit

react-native-camera: Android app crashing without error

QUESTION

Head 3d rotation and position with MLKit PoseDetection

Asked 2021-Jun-09 at 16:29

I'm using the Pose Detection, and I tried to use the facial landmarks to calculate the 3d head position and rotation. But as said in MLKit's PoseDetection documentation, the z position for the face landmarks should be ignored.

So I would like to know if there is another way to obtain the head rotation and position from the data that the Pose Detection gives us.

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ANSWER

Answered 2021-Jun-09 at 16:29

Head rotation is not available in the Pose detection feature today, but you can get the head rotation info from ML Kit face detection APIs. See https://developers.google.com/android/reference/com/google/mlkit/vision/face/Face#public-method-summary, which provides HeadEulerAngleX/Y/Z()

Source https://stackoverflow.com/questions/67906508

QUESTION

Unknown encoding error when parsing DataMatrix with ISO-8859-1 encoding

Asked 2021-May-25 at 22:15

Developing an Android application to scan Data Matrix codes using Google's MLKit, I'm unable to parse codes with data encoded in ISO-8859-1 encoding and containing Non-ASCII characters.

Here's an example: DataMatrix failing with ML Kit

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ANSWER

Answered 2021-Mar-02 at 21:41

The problem with the barcode picture is that there is no padding around the barcode, which would return an empty result.

After adding some padding around the barcode content, the barcode is detected. .

Source https://stackoverflow.com/questions/66000646

QUESTION

google ml kit duplicate dependency

Asked 2021-May-18 at 17:05

after adding com.google.mlkit:face-detection:16.0.7 I have below log error what should I do?

Duplicate class com.google.firebase.components.Component found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.Component$1 found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.Component$Builder found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.ComponentContainer found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.ComponentFactory found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.ComponentRegistrar found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.Dependency found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.DependencyCycleException found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.DependencyException found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.components.MissingDependencyException found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.Event found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.EventHandler found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.Publisher found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.events.Subscriber found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0) Duplicate class com.google.firebase.inject.Provider found in modules jetified-firebase-common-16.0.3-runtime (com.google.firebase:firebase-common:16.0.3) and jetified-firebase-components-16.0.0-runtime (com.google.firebase:firebase-components:16.0.0)

Go to the documentation to learn how to Fix dependency resolution errors.

...

ANSWER

Answered 2021-May-18 at 17:05

you may have an existing firebase dependency that pulls in com.google.firebase:firebase-common:16.0.3 which is not compatible with the mlkit APIs. You can resolve this by using the latest firebase BOM which specifies the latest versions for all firebase SDKs:

// Import the BoM for the Firebase platform implementation platform('com.google.firebase:firebase-bom:28.0.1')

// OR, just explicitly pull in the latest firebase-common dependency in your project: implementation 'com.google.firebase.firebase-common-20.0.0'

Source https://stackoverflow.com/questions/67546931

QUESTION

Why are images not being acquired by the analyze() method?

Asked 2021-May-10 at 15:44

Summary/TL;DR: ML Object Detection application is unable to detect objects because images aren't being acquired by analyze() method.

BACKGROUND

I'm currently working on a mobile application using CameraX and Google ML Kit written in Java. The purpose of the application is to detect objects with a real time camera preview. I implemented ML Kit using this guide aptly titled "Detect and track objects with ML Kit on Android" (base model option) to detect objects in successive frames within the application.

However, upon running the application, it launches on my device and the camera preview continues to work but the application does not carry out its intended effect of actually detecting objects and displaying it on my screen. To attempt to resolve this, I had found this StackOverflow answer that very closely resembles this issue. To my dismay, the user had built their application using a custom model (tflite). This differs from mine as I am using the base model. According to my research, this uses the ML Kit's on-device's object detection. The code being applied is restricted to what is present within the aforementioned documentation. Since my IDE (Android Studio) does not display any errors within the syntax, I am unsure as to why any object detection does not appear to be present on my application. Displayed below is the necessary code that had been used:

CODE ...

ANSWER

Answered 2021-Apr-02 at 18:33

As mentioned in the other StackOverflow question you linked, you need to bind the analysis use case to make it work.

One tip to help debug this is that you can add some Log.d(..) in onSuccess to check the size of the returned object list and in onFailure to print out the exception. Then when running, you could use adb logcat or the AS log tab to check the info to make sure things are running.

Another improvement you can make is that, you don't need to create a new object detector each frame. You can create one out side the analyze method and reuse it.

Source https://stackoverflow.com/questions/66892974

QUESTION

Drawing a Box Around Face To Existed Photos with Google Face Detection ML Kit

Asked 2021-Apr-18 at 03:49

We implemented Android ML Kit for face detection in Android. It works like charm, detect faces.

The problem: We want to draw rectangles around detected faces when multiple faces detected

What we have done:

Implemented

...

ANSWER

Answered 2021-Apr-17 at 17:32

you can reference the project here, but it is the java code

https://github.com/kkdroidgit/FaceDetect

Source https://stackoverflow.com/questions/67138571

QUESTION

Dependencies of an Android plugin for Unity collide with the dependencies downloaded by unity-jar-resolver

Asked 2021-Apr-16 at 19:41

There is this situation where I am trying to use MLKit inside Unity. Naturally I make an Android plugin. Here are the Gradle dependencies:

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ANSWER

Answered 2021-Apr-16 at 19:41

As the error message suggests, the same stuff seams to be around in two separate dependencies: once in ":PoseDetector-release:" and once in ":androidx.camera.camera-camera2-1.1.0-alpha02:"

I have run in this issue before, and was able to solve it. Sometimes it takes longer to find out which dependencies to remove.

The solution to this error is to remove one of the duplicate dependencies, in my case I believe it was removing the android plugin folder of some SDK in my Project's Assets Folder, due to the fact that the same dependency was already included by some package I downloaded and imported via the unity package manager.

The two cases I can think of, where my answer is garbage are:

The collision is NOT due to collision between same dependencies, but just between namespaces
You can not remove neither of the two dependencies because they only overlap, but BOTH each contain MORE stuff you need, which is NOT already included in the other one

Source https://stackoverflow.com/questions/66828328

QUESTION

Android CameraX use case binding failed

Asked 2021-Apr-12 at 09:09

Device: Huawei P40 Lite E dependencies:

...

ANSWER

Answered 2021-Apr-08 at 21:37

Simultaneous ImageCapture in YUV and ImageAnalysis in YUV isn't supported on all camera devices; if you switch the ImageCapture to JPEG you should be fine on all devices (if you want details, you can look at the tables in the underlying camera2 API's session creation). LIMITED-level camera devices only support 3 outputs if one of them is JPEG. FULL-level devices should support it, though.

That's why setBufferFormat is not part of the CameraX public API - using it easily pushes you out of the set of outputs that are commonly supported by camera devices.

Source https://stackoverflow.com/questions/66983861

QUESTION

Why does my MLKit model always returns an error when processing an image?

Asked 2021-Apr-06 at 18:13

I have a Google MLKit model for labeling an Image after capturing the image, but everytime I tried to process the Image, it always give me this error:

label process error:: Pipeline failed to fully start: Calculator::Open() for node "ClassifierClientCalculator" failed: #vk The TFLite Model Metadata must not contain label maps when text_label_map_file is used.

Here's my MLKit image labeler configuration code (this code is based on MLKit's documentation):

...

ANSWER

Answered 2021-Apr-06 at 18:13

Here's my understanding based on the error message:

Given you are using the LocalModel(manifestPath: manifestPath) API, it is expecting a legacy TFLite model format where the label map is provided through a separate text file and the model.tflite itself does not contain the label map. That's why your file before your model update works.

To use your updated model.tflite (which seems to contain the lab map inside its metadata), I think you can try the following to use the model.tflite file directly with the custom models API without going through the filename.json manifest:

Source https://stackoverflow.com/questions/66973041

QUESTION

inputImage.getByteBuffer() is null when using AndroidX Camera with MLKit

Asked 2021-Apr-05 at 09:26

This is the code from my Activity class:

...

ANSWER

Answered 2021-Mar-31 at 16:52

inputImage.getByteBuffer() is an internal method which is not designed for public usage. This method will only return when you use a bytebuffer or byte array to construct the image. If you need to use a bytebuffer from your android media image, you will need to do the conversion on your own.

Also, we made some changes to Firebase ML Kit to better distinguish the on-device APIs from cloud based APIs. "ML Kit"(without firebase branding) contains all the on-device APIs. Here's the migration guide from firebase mlkit to mlkit. All further improvements and new APIs will be released only with the new ML Kit.

Source https://stackoverflow.com/questions/66891483

QUESTION

react-native-camera: Android app crashing without error

Asked 2021-Apr-01 at 05:35

I've added react-native-camera to my application. After creating a component that uses RNCamera, everytime I try to run my app (using react-native run-android), it asks for the necessary permissions (camera and audio) and then immediately crashes without outputting any error messages.

This is my package.json:

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ANSWER

Answered 2021-Mar-22 at 05:25

Add above the camera permission in the AndroidManifest.xml file. After check once.

Source https://stackoverflow.com/questions/66740482

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

Vulnerabilities

No vulnerabilities reported

Install MLKit

You can download it from GitHub, GitLab, Maven.
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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