catchpy | annotation storage backend | Data Labeling library

 by   nmaekawa Python Version: Current License: No License

kandi X-RAY | catchpy Summary

kandi X-RAY | catchpy Summary

catchpy is a Python library typically used in Artificial Intelligence, Data Labeling applications. catchpy has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

annotation storage backend
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            kandi-support Support

              catchpy has a low active ecosystem.
              It has 6 star(s) with 3 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 29 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of catchpy is current.

            kandi-Quality Quality

              catchpy has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              catchpy 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

              catchpy 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed catchpy and discovered the below as its top functions. This is intended to give you an instant insight into catchpy implemented functionality, and help decide if they suit your requirements.
            • Import catcha
            • Create an Anno instance from catcha
            • Create Tag instances
            • Create an annotation
            • Delete annotations
            • Generate a query based on a list of values
            • Creates a search expression
            • Select annotations
            • Add annotation to annotations
            • Make a token for a given user
            • Make a fresh WA object
            • Copy one or more annotations to another
            • Generate a random UUID
            • This function allows you to copy users to a user
            • Creates an annotation with the given annotation
            • Create or return a crud or search
            • Return the version string
            • Performs back - compatibility search
            • Search for all annotations for this assignment
            • Initialize context manager
            • Initialize the session
            • Create a crud - compatible annotation
            • Add an annotation to the collection
            • Returns a list of collection ids
            • Perform a crud update
            • Initialize the context
            Get all kandi verified functions for this library.

            catchpy Key Features

            No Key Features are available at this moment for catchpy.

            catchpy Examples and Code Snippets

            No Code Snippets are available at this moment for catchpy.

            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 catchpy

            You can download it from GitHub.
            You can use catchpy 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 .
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            gh repo clone nmaekawa/catchpy

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