AvatarLabelView | 一个可配置的迷你版轻量级 Label 辅助类,支持多种配置效果。 | Data Labeling library

 by   yanbober Java Version: Current License: MIT

kandi X-RAY | AvatarLabelView Summary

kandi X-RAY | AvatarLabelView Summary

AvatarLabelView is a Java library typically used in Artificial Intelligence, Data Labeling applications. AvatarLabelView has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However AvatarLabelView has 2 bugs. You can download it from GitHub.

一个可配置的迷你版轻量级 Label 辅助类,支持多种配置效果。
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            kandi-support Support

              AvatarLabelView has a low active ecosystem.
              It has 575 star(s) with 101 fork(s). There are 18 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 0 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of AvatarLabelView is current.

            kandi-Quality Quality

              AvatarLabelView has 2 bugs (0 blocker, 0 critical, 0 major, 2 minor) and 8 code smells.

            kandi-Security Security

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

            kandi-License License

              AvatarLabelView is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              AvatarLabelView releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              AvatarLabelView saves you 246 person hours of effort in developing the same functionality from scratch.
              It has 599 lines of code, 40 functions and 20 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed AvatarLabelView and discovered the below as its top functions. This is intended to give you an instant insight into AvatarLabelView implemented functionality, and help decide if they suit your requirements.
            • Resize the width and height of the label view
            • Gets the height of the bg rectangle
            • Region drawable
            • Draw a label
            • Set the label background color
            • Sets the label background color
            • Initializes all art art
            • Set the label content
            • Set the label title
            • Override to draw the label
            • Creates the activity model
            • Region Drawer
            Get all kandi verified functions for this library.

            AvatarLabelView Key Features

            No Key Features are available at this moment for AvatarLabelView.

            AvatarLabelView Examples and Code Snippets

            No Code Snippets are available at this moment for AvatarLabelView.

            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 AvatarLabelView

            You can download it from GitHub.
            You can use AvatarLabelView 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 AvatarLabelView 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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            https://github.com/yanbober/AvatarLabelView.git

          • CLI

            gh repo clone yanbober/AvatarLabelView

          • sshUrl

            git@github.com:yanbober/AvatarLabelView.git

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