LabelBoundingBox | A tool for labeling bounding boxes | Data Labeling library

 by   hjptriplebee Python Version: Current License: GPL-2.0

kandi X-RAY | LabelBoundingBox Summary

kandi X-RAY | LabelBoundingBox Summary

LabelBoundingBox is a Python library typically used in Artificial Intelligence, Data Labeling applications. LabelBoundingBox has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However LabelBoundingBox build file is not available. You can download it from GitHub.

A tool for labeling bounding boxes
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            kandi-support Support

              LabelBoundingBox has a low active ecosystem.
              It has 17 star(s) with 9 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              LabelBoundingBox has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of LabelBoundingBox is current.

            kandi-Quality Quality

              LabelBoundingBox has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              LabelBoundingBox is licensed under the GPL-2.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              LabelBoundingBox releases are not available. You will need to build from source code and install.
              LabelBoundingBox has no build file. You will be need to create the build yourself to build the component from source.
              LabelBoundingBox saves you 100 person hours of effort in developing the same functionality from scratch.
              It has 254 lines of code, 15 functions and 2 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed LabelBoundingBox and discovered the below as its top functions. This is intended to give you an instant insight into LabelBoundingBox implemented functionality, and help decide if they suit your requirements.
            • Load all images
            • Load image
            • Removes bounding boxes
            • Convert a video to a PNG image
            • Recursively find all video files in path
            • Go to current image
            • Saves the image
            • Save previous image
            • Move to the next image
            Get all kandi verified functions for this library.

            LabelBoundingBox Key Features

            No Key Features are available at this moment for LabelBoundingBox.

            LabelBoundingBox Examples and Code Snippets

            No Code Snippets are available at this moment for LabelBoundingBox.

            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 LabelBoundingBox

            You can download it from GitHub.
            You can use LabelBoundingBox 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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          • HTTPS

            https://github.com/hjptriplebee/LabelBoundingBox.git

          • CLI

            gh repo clone hjptriplebee/LabelBoundingBox

          • sshUrl

            git@github.com:hjptriplebee/LabelBoundingBox.git

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