bbox-visualizer | Make drawing and labeling bounding boxes easy as cake | Data Labeling library

 by   shoumikchow Python Version: 0.1.0 License: MIT

kandi X-RAY | bbox-visualizer Summary

kandi X-RAY | bbox-visualizer Summary

bbox-visualizer is a Python library typically used in Artificial Intelligence, Data Labeling applications. bbox-visualizer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install bbox-visualizer' or download it from GitHub, PyPI.

Make drawing and labeling bounding boxes easy as cake

            kandi-support Support

              bbox-visualizer has a low active ecosystem.
              It has 326 star(s) with 20 fork(s). There are 5 watchers for this library.
              It had no major release in the last 12 months.
              There are 2 open issues and 5 have been closed. On average issues are closed in 266 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of bbox-visualizer is 0.1.0

            kandi-Quality Quality

              bbox-visualizer has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              bbox-visualizer 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

              bbox-visualizer releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 250 lines of code, 8 functions and 6 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed bbox-visualizer and discovered the below as its top functions. This is intended to give you an instant insight into bbox-visualizer implemented functionality, and help decide if they suit your requirements.
            • Add multiple labels to the given image
            • Add a label to an image
            • Draw multiple flag boxes
            • Draw a flag with a label
            • Adds multiple T boxes to an image
            • Add a label to the image
            • Draw multiple bounding boxes
            • Draws a rectangle
            • Draw a flag on the image
            • Add label to image
            • Adds a label to the image
            • Draw a rectangle
            Get all kandi verified functions for this library.

            bbox-visualizer Key Features

            No Key Features are available at this moment for bbox-visualizer.

            bbox-visualizer Examples and Code Snippets

            No Code Snippets are available at this moment for bbox-visualizer.

            Community Discussions


            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?



            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:



            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:



            Answered 2020-Nov-16 at 07:24


            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.



            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install bbox-visualizer

            You can install using 'pip install bbox-visualizer' or download it from GitHub, PyPI.
            You can use bbox-visualizer 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.


            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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