EasySharedElements | 一个适用于Android全版本的共享元素动画 | Data Labeling library

 by   8kEatRadish Kotlin Version: 1.0.3 License: No License

kandi X-RAY | EasySharedElements Summary

kandi X-RAY | EasySharedElements Summary

EasySharedElements is a Kotlin library typically used in Artificial Intelligence, Data Labeling applications. EasySharedElements has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

一个适用于Android全版本的共享元素动画
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              EasySharedElements has a low active ecosystem.
              It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of EasySharedElements is 1.0.3

            kandi-Quality Quality

              EasySharedElements has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              EasySharedElements 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

              EasySharedElements releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            EasySharedElements Key Features

            No Key Features are available at this moment for EasySharedElements.

            EasySharedElements Examples and Code Snippets

            No Code Snippets are available at this moment for EasySharedElements.

            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 EasySharedElements

            You can download it from GitHub.

            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/8kEatRadish/EasySharedElements.git

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            gh repo clone 8kEatRadish/EasySharedElements

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            git@github.com:8kEatRadish/EasySharedElements.git

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