Auto-Labeling-Django-Server | Django Server for Auto-Labeling Tool based on CVAT | Data Labeling library

 by   MartinMa28 Python Version: Current License: Non-SPDX

kandi X-RAY | Auto-Labeling-Django-Server Summary

kandi X-RAY | Auto-Labeling-Django-Server Summary

Auto-Labeling-Django-Server is a Python library typically used in Artificial Intelligence, Data Labeling applications. Auto-Labeling-Django-Server has no bugs, it has no vulnerabilities and it has low support. However Auto-Labeling-Django-Server build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Django Server for Auto-Labeling Tool based on CVAT
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              Auto-Labeling-Django-Server has a low active ecosystem.
              It has 7 star(s) with 2 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Auto-Labeling-Django-Server has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Auto-Labeling-Django-Server is current.

            kandi-Quality Quality

              Auto-Labeling-Django-Server has no bugs reported.

            kandi-Security Security

              Auto-Labeling-Django-Server has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Auto-Labeling-Django-Server has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              Auto-Labeling-Django-Server releases are not available. You will need to build from source code and install.
              Auto-Labeling-Django-Server has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Auto-Labeling-Django-Server and discovered the below as its top functions. This is intended to give you an instant insight into Auto-Labeling-Django-Server implemented functionality, and help decide if they suit your requirements.
            • Create a new task
            • Create a new DB task
            • Get upload directoryname
            • Create a tf annotation
            • Merges paths intersecting box
            • Calculates the overlap area of two boxes
            • Returns a list of all the boxes that are interpolated
            • Given a list of polygons and a list of polygon objects fix them
            • Convert mask to polygon coordinates
            • Save annotation for given job
            • Get the version timestamp of a table
            • Opens a scanner opening a table
            • Retrieve the scanner open time from a table
            • Dashboard view
            • Mutate a row at a given timestamp
            • Parse an annotation file
            • Create thread
            • Predict using a sliding window
            • Merge two boxes together
            • Insert category data
            • Process a cvat file
            • Opens the scanner open and returns the result
            • Opens a scanner with stopTs
            • Populate the result_annotation
            • Draw polygon polygons
            • Parse command line arguments
            Get all kandi verified functions for this library.

            Auto-Labeling-Django-Server Key Features

            No Key Features are available at this moment for Auto-Labeling-Django-Server.

            Auto-Labeling-Django-Server Examples and Code Snippets

            No Code Snippets are available at this moment for Auto-Labeling-Django-Server.

            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 Auto-Labeling-Django-Server

            Please read official manual here.
            To build all necessary docker images run docker-compose build command. By default, in production mode the tool uses PostgreSQL as database, Redis for caching.

            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 MartinMa28/Auto-Labeling-Django-Server

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            git@github.com:MartinMa28/Auto-Labeling-Django-Server.git

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