GridMask | GridMask augmentation for image classification | Machine Learning library

by Jia-Research-Lab Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | GridMask Summary

GridMask is a Python library typically used in Artificial Intelligence, Machine Learning applications. GridMask has no vulnerabilities and it has low support. However GridMask has 5 bugs and it build file is not available. You can download it from GitHub.

This project is the code for implementing the GridMask augmentation for image classification and object detection. The full paper is available at:

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Quality

Security

License

Reuse

Support

GridMask has a low active ecosystem.

It has 203 star(s) with 42 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 9 have been closed. On average issues are closed in 23 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of GridMask is current.

Quality

GridMask has 5 bugs (1 blocker, 0 critical, 4 major, 0 minor) and 168 code smells.

Security

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

GridMask code analysis shows 0 unresolved vulnerabilities.

There are 6 security hotspots that need review.

License

GridMask 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

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

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

GridMask saves you 5252 person hours of effort in developing the same functionality from scratch.

It has 11028 lines of code, 689 functions and 153 files.

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

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GridMask Key Features

No Key Features are available at this moment for GridMask.

GridMask Examples and Code Snippets

No Code Snippets are available at this moment for GridMask.

Community Discussions

Trending Discussions on GridMask

Multioutput-Multiclass Classification in Custom Scratch Training in TF.Keras

Stretch grid from code with width and height defined

QUESTION

Multioutput-Multiclass Classification in Custom Scratch Training in TF.Keras

Asked 2020-Oct-10 at 13:43

I want to train a multi-out and multi-class classification model from scratch (using custom fit()). And I want some advice. For the sake of learning opportunity, here I'm demonstrating the whole scenario in more detail. Hope it may come helpful to anyone.

Data Set and Goal

I'm using data from here; It's a Bengali handwritten character recognition challenge, each of the samples has 3 mutually related output along with multiple classes of each. Please see the figure below:

In the above figure, as you can see, the ক্ট্রো is consist of 3 component (ক্ট , ো , ‍‍্র), namely Grapheme Root, Vowel Diactrics and Consonant Diacritics respectively and together they're called Grapheme. Again the Grapheme Root also has 168 different categories and also same as others (11 and 7). The added complexity results in ~13,000 different grapheme variations (compared to English’s 250 graphemic units).

The goal is to classify the Components of the Grapheme in each image.

Initial Approach (and no issue with it)

I implemented a training pipeline over here, where it's demonstrated using old keras (not tf.keras) with its a convenient feature such as model.compile, callbacks etc. I defined a custom data generator and defined a model architecture something like below.

...

ANSWER

Answered 2020-Oct-10 at 13:43

You just need to do a custom training loop, but everything needs to be done 3 times (+ 1 if you also have a continuous variable). Here's an example using quadruple output architecture:

Source https://stackoverflow.com/questions/64155286

QUESTION

Stretch grid from code with width and height defined

Asked 2019-Feb-12 at 08:37

I have a grid which is defined at some point in my ViewModel.

I want to clip out some regions of this grid, then stretch it to a part of the screen and display it as an 'overlay' in the UI. To do the clipping, I need some sort of coordinates on the grid, but if I set its size, it refuses to stretch.

ViewModel:

...

ANSWER

Answered 2019-Feb-12 at 08:37

A colleague showed me an easy workaround:

Listening for GridMask.SizeChanged in the constructor and calling the clipping function from the GridMask_SizeChanged method. This gives us a coordinate system to work with from GridMask.ActualWidth and GridMask.ActualHeight.

Source https://stackoverflow.com/questions/54628512

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

Vulnerabilities

No vulnerabilities reported

Install GridMask

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

Find more information at: