semantic-segmentation-editor | Web labeling tool for bitmap images and point clouds | Data Labeling library

 by   Hitachi-Automotive-And-Industry-Lab JavaScript Version: 1.6.0 License: MIT

kandi X-RAY | semantic-segmentation-editor Summary

kandi X-RAY | semantic-segmentation-editor Summary

semantic-segmentation-editor is a JavaScript library typically used in Artificial Intelligence, Data Labeling, Docker applications. semantic-segmentation-editor has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

A web based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js and three.js.

            kandi-support Support

              semantic-segmentation-editor has a medium active ecosystem.
              It has 1528 star(s) with 411 fork(s). There are 58 watchers for this library.
              It had no major release in the last 12 months.
              There are 42 open issues and 117 have been closed. On average issues are closed in 30 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of semantic-segmentation-editor is 1.6.0

            kandi-Quality Quality

              semantic-segmentation-editor has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              semantic-segmentation-editor 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

              semantic-segmentation-editor releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              semantic-segmentation-editor saves you 345 person hours of effort in developing the same functionality from scratch.
              It has 825 lines of code, 0 functions and 64 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed semantic-segmentation-editor and discovered the below as its top functions. This is intended to give you an instant insight into semantic-segmentation-editor implemented functionality, and help decide if they suit your requirements.
            • Creates a border for mask
            • Generates a PCD output response .
            • Parse PCD header string .
            • The mouse down handler .
            • handle touchstart events
            • handle touchmove operation
            • Decompress an LZData .
            • Helper class for BufferGeometry
            • Handle mouse move
            • Handle touch move events .
            Get all kandi verified functions for this library.

            semantic-segmentation-editor Key Features

            No Key Features are available at this moment for semantic-segmentation-editor.

            semantic-segmentation-editor Examples and Code Snippets

            No Code Snippets are available at this moment for semantic-segmentation-editor.

            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 semantic-segmentation-editor

            You can download it from GitHub.


            Supported input PCD format: ASCII, Binary and Binary compressedSupported input fields: x, y, z, label (optional integer), rgb (optional integer)Output PCD format is ASCII with fields x, y, z, label, object and rgb (if available)
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