MM-label-tool | Labeling Tool used for object detection | Data Labeling library

 by   ddavid Python Version: Current License: MIT

kandi X-RAY | MM-label-tool Summary

kandi X-RAY | MM-label-tool Summary

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

Labeling Tool used for object detection by the Formula Student Driverless Team of the UAS Munich
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            kandi-support Support

              MM-label-tool has a low active ecosystem.
              It has 7 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 388 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MM-label-tool is current.

            kandi-Quality Quality

              MM-label-tool has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              MM-label-tool 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

              MM-label-tool 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.
              Installation instructions are not available. Examples and code snippets are available.
              It has 303 lines of code, 21 functions and 1 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed MM-label-tool and discovered the below as its top functions. This is intended to give you an instant insight into MM-label-tool implemented functionality, and help decide if they suit your requirements.
            • Loads directory
            • Load image
            • Get the color of a label
            • Clear all bounding boxes
            • Mouse click event handler
            • Calculate the height distance from a bounding box
            • Calculate the width of a bounding box
            • Cancel bbox event
            • Move to current image
            • Saves the image
            • Mouse move event handler
            • Save previous image
            • Move to the next image
            Get all kandi verified functions for this library.

            MM-label-tool Key Features

            No Key Features are available at this moment for MM-label-tool.

            MM-label-tool Examples and Code Snippets

            No Code Snippets are available at this moment for MM-label-tool.

            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 MM-label-tool

            You can download it from GitHub.
            You can use MM-label-tool 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/ddavid/MM-label-tool.git

          • CLI

            gh repo clone ddavid/MM-label-tool

          • sshUrl

            git@github.com:ddavid/MM-label-tool.git

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