ImageLabeler | GUI Image Labeling app for classifying images into folders | Data Labeling library

by hattiq Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | ImageLabeler Summary

ImageLabeler is a Python library typically used in Artificial Intelligence, Data Labeling applications. ImageLabeler has no bugs, it has no vulnerabilities and it has low support. However ImageLabeler build file is not available. You can download it from GitHub.

GUI tool to label images. Labels are appended at the front of the image filename. The images are taken from a source directory and the labeled images are placed in the destination directory.

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Quality

Security

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Support

ImageLabeler has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

ImageLabeler has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ImageLabeler is current.

Quality

ImageLabeler has no bugs reported.

Security

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

License

ImageLabeler does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ImageLabeler releases are not available. You will need to build from source code and install.

ImageLabeler has no build file. You will be need to create the build yourself to 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 ImageLabeler and discovered the below as its top functions. This is intended to give you an instant insight into ImageLabeler implemented functionality, and help decide if they suit your requirements.

Update the next image
Load the next image
Find the next image
Show the next image in the viewer
Current time in milliseconds
Zoom out of the next image
Scale image
Show the main window
Remove the next image
Delete the next image
Zoom in the next image

Get all kandi verified functions for this library.

ImageLabeler Key Features

No Key Features are available at this moment for ImageLabeler.

ImageLabeler Examples and Code Snippets

No Code Snippets are available at this moment for ImageLabeler.

Community Discussions

Trending Discussions on ImageLabeler

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

What is the distinct difference between an ImageAnalyzer and VisionProcessor in Android MLKit, if any?

Android ML Kit Not Able to Label Image

Undefined symbols for architecture x86_64 flutter

Flutter Error: Type 'File' not found. What's going on here?

Python PyQt4 QFileDialog images and load in QListWidget

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):

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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

What is the distinct difference between an ImageAnalyzer and VisionProcessor in Android MLKit, if any?

Asked 2021-Feb-05 at 19:10

I'm new to MLKit.

One of the first thing I've noticed from looking at the docs as well as the sample MLKit apps is that there seems to be multiple ways to attach/use image processors/analyzers.

In some cases they demonstrate using the ImageAnalyzer api https://developers.google.com/ml-kit/vision/image-labeling/custom-models/android

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ANSWER

Answered 2021-Feb-05 at 19:10

The difference is due to the underlying camera implementation. The analyzer interface is from CameraX while the processor needs to be written by developer for camera1.

If you want to use android.hardware.Camera, you need to follow the example to create a processor and feed camera output to MLKit. If you want to use cameraX, then you can follow the example in the vision sample app and find CameraXLivePreviewActivity.

Source https://stackoverflow.com/questions/66053016

QUESTION

Android ML Kit Not Able to Label Image

Asked 2020-Jul-24 at 18:40

So I have an Android app where a user can take a picture of a bird using the camera app and it will classify the bird. I followed the documentation for label images with a custom model for Android and it's not working. I have this piece of code in my onActivityResult:

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ANSWER

Answered 2020-Jul-24 at 18:40

Looking at the stacktrace, it seems like the input Bitmap is taken directly from the camera and it resides in-memory (Bitmap.Config.HARDWARE). ML Kit only supports bitmap of ARGB_8888 format so please try:

Source https://stackoverflow.com/questions/62988684

QUESTION

Undefined symbols for architecture x86_64 flutter

Asked 2020-May-14 at 19:57

I'm working in an app flutter. Android working fine but in ios no. I need some help to run this on ios mobile. I'm using lib: google_maps_flutter: ^0.5.27+3 and firebase_ml_vision: ^0.9.3+8. Xcode 11.4.1 and Mac os Catalina 10.15.4. Someone knows how to solve this. I didn't found yet.

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ANSWER

Answered 2020-May-14 at 19:57

Probably the error is on some of the XCode project files, try:

Make a backup of your project.
Run this command

flutter clean && \ rm ios/Podfile ios/Podfile.lock pubspec.lock && \ rm -rf ios/Pods ios/Runner.xcworkspace && \ flutter run

Reference

Source https://stackoverflow.com/questions/61805786

QUESTION

Flutter Error: Type 'File' not found. What's going on here?

Asked 2019-May-09 at 17:00

I'm trying to use firebase_ml_vision with image_picker.

Here's the code:

...

ANSWER

Answered 2019-May-09 at 17:00

File type is in dart:io, which you are missing. Add import 'dart:io'; to the top of the file.

Source https://stackoverflow.com/questions/56063611

QUESTION

Python PyQt4 QFileDialog images and load in QListWidget

Asked 2018-Oct-21 at 03:47

I'm new in python and cannot find similar case to my ideal output. Is this possible to python? Select images to file and load in QListWidget with image thumbnails and file name. This idea is like a Matlab ImageLabeler (pls see image fyr)

Sample Image

Below so far is my code applied by the QListWidget doeesn't appear. Thanks in advance for the help.

...

ANSWER

Answered 2018-Oct-21 at 03:47

It's already achieved here Custom QlistWidget. You need to create a custom list widget that base on your target output like icon and label then add widget. Upon calling to your custom widget you will set what data appears on your assigned or added widget to your listwidget.

Source https://stackoverflow.com/questions/52702116

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

Vulnerabilities

No vulnerabilities reported

Install ImageLabeler

You can download it from GitHub.
You can use ImageLabeler like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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