html-annotator | tools for annotating html pages | Data Labeling library

 by   pkavumba JavaScript Version: 0.1.0 License: MIT

kandi X-RAY | html-annotator Summary

kandi X-RAY | html-annotator Summary

html-annotator is a JavaScript library typically used in Artificial Intelligence, Data Labeling applications. html-annotator has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i html-annotator' or download it from GitHub, npm.

tools for annotating html pages
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            kandi-support Support

              html-annotator has a low active ecosystem.
              It has 5 star(s) with 2 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 1 have been closed. On average issues are closed in 2 days. There are 13 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of html-annotator is 0.1.0

            kandi-Quality Quality

              html-annotator has no bugs reported.

            kandi-Security Security

              html-annotator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              html-annotator 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

              html-annotator releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

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            html-annotator Key Features

            No Key Features are available at this moment for html-annotator.

            html-annotator Examples and Code Snippets

            No Code Snippets are available at this moment for html-annotator.

            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 html-annotator

            You can install using 'npm i html-annotator' or download it from GitHub, npm.

            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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            Install
          • npm

            npm i html-annotator

          • CLONE
          • HTTPS

            https://github.com/pkavumba/html-annotator.git

          • CLI

            gh repo clone pkavumba/html-annotator

          • sshUrl

            git@github.com:pkavumba/html-annotator.git

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