connected-components-labeling | A Connected Components Labeling algorithm | Data Labeling library

 by   klonikar Java Version: Current License: No License

kandi X-RAY | connected-components-labeling Summary

kandi X-RAY | connected-components-labeling Summary

connected-components-labeling is a Java library typically used in Artificial Intelligence, Data Labeling, React applications. connected-components-labeling has no bugs, it has no vulnerabilities and it has low support. However connected-components-labeling build file is not available. You can download it from GitHub.

A Connected Components Labeling algorithm implementation in Java. The algorithm description can be found on Wikipedia: This implementation is derived from the C# implementation described on: The source code of that implementation:
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            kandi-support Support

              connected-components-labeling has a low active ecosystem.
              It has 7 star(s) with 5 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              connected-components-labeling has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of connected-components-labeling is current.

            kandi-Quality Quality

              connected-components-labeling has 0 bugs and 0 code smells.

            kandi-Security Security

              connected-components-labeling has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              connected-components-labeling code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              connected-components-labeling does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              connected-components-labeling releases are not available. You will need to build from source code and install.
              connected-components-labeling has no build file. You will be need to create the build yourself to build the component from source.
              connected-components-labeling saves you 103 person hours of effort in developing the same functionality from scratch.
              It has 262 lines of code, 23 functions and 3 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed connected-components-labeling and discovered the below as its top functions. This is intended to give you an instant insight into connected-components-labeling implemented functionality, and help decide if they suit your requirements.
            • Main entry point for CCL
            • Finds adjacent pixel
            • Process the specified input image
            • Aggregate pattern patterns
            • Creates a bitmap based on the pattern image
            • Get the neighbors of a given pixel
            • Returns the maximum pixel in a list of pixels
            • Returns the minimum pixel in a list of pixels
            • Joins this label with the root
            • Checks if the pixel value is the background
            • Get Root
            • Gets base file name
            • Get file name extension
            • Gets the processed image
            Get all kandi verified functions for this library.

            connected-components-labeling Key Features

            No Key Features are available at this moment for connected-components-labeling.

            connected-components-labeling Examples and Code Snippets

            No Code Snippets are available at this moment for connected-components-labeling.

            Community Discussions

            QUESTION

            How can I do this split process in Python?
            Asked 2021-Dec-30 at 14:06

            I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

            What I've done so far is make this representation with the same enumerator class.

            A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

            ...

            ANSWER

            Answered 2021-Dec-30 at 13:57

            Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

            Source https://stackoverflow.com/questions/70532286

            QUESTION

            Replacing a character with a space and dividing the string into two words in R
            Asked 2020-Nov-18 at 07:32

            I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

            In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

            i have this:

            ...

            ANSWER

            Answered 2020-Nov-16 at 07:24

            QUESTION

            Azure ML FileDataset registers, but cannot be accessed for Data Labeling project
            Asked 2020-Oct-28 at 20:31

            Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

            Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

            Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

            ...

            ANSWER

            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?

            Source https://stackoverflow.com/questions/64546521

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

            Vulnerabilities

            No vulnerabilities reported

            Install connected-components-labeling

            You can download it from GitHub.
            You can use connected-components-labeling 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 connected-components-labeling 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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            gh repo clone klonikar/connected-components-labeling

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            git@github.com:klonikar/connected-components-labeling.git

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