sknw | build net work from skeleton image

 by   Image-Py Python Version: Current License: BSD-3-Clause

X-RayKey FeaturesCode SnippetsCommunity Discussions(3)VulnerabilitiesInstallSupport

kandi X-RAY | sknw Summary

kandi X-RAY | sknw Summary

sknw is a Python library. sknw 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.

build net work from skeleton image (2D-3D)
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              sknw has a low active ecosystem.
              It has 173 star(s) with 41 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 16 open issues and 6 have been closed. On average issues are closed in 61 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of sknw is current.

            kandi-Quality Quality

              sknw has 0 bugs and 3 code smells.

            kandi-Security Security

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

            kandi-License License

              sknw is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              sknw 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 206 lines of code, 11 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed sknw and discovered the below as its top functions. This is intended to give you an instant insight into sknw implemented functionality, and help decide if they suit your requirements.
            • Test the graph
            • Parse a strec image
            • Trace the image
            • Fill image with nbs
            • Build a networkx graph
            • Mark an image with nbs
            • Return the neighbors of the given shape
            • Convert from index to CRC
            • Build a networkx graph from a structure
            • Builds a networkx graph from a structure
            • Mark a node
            Get all kandi verified functions for this library.

            sknw Key Features

            No Key Features are available at this moment for sknw.

            sknw Examples and Code Snippets

            No Code Snippets are available at this moment for sknw.

            Community Discussions

            Trending Discussions on sknw

            Importing sknw on jupyter ModuleNotFoundError
            How to find specific points/coordinates in shortest_path?
            How to find shortest path in skeletonized maze image?

            QUESTION

            Importing sknw on jupyter ModuleNotFoundError
            Asked 2019-Jul-08 at 17:42

            On my jupyter notebook, running import sknw throws a ModuleNotFoundError error.

            I have tried pip install sknw and pip3 install sknw and python -m pip install sknw. It appears to have downloaded successfully, and get requirement already satisfied if I try to download it again.

            Any help on how to get the sknw package to work in jupyter notebook would be very helpful!

            ...

            ANSWER

            Answered 2019-Jul-08 at 15:27

            check on which environment you using pip.

            Source https://stackoverflow.com/questions/56937918

            QUESTION

            How to find specific points/coordinates in shortest_path?
            Asked 2018-Sep-02 at 13:38

            I am using NetworkX, numpy and sknw module to find the shortest_path of a maze. Shortest path algorithm results what I want and I can draw the path with nodes. However, there are another points that I want to find on this path but they are not nodes in the shortest path. Here is the shortest path specified with just found nodes:

            Here is the what I need:

            Here is the original image:

            What is the way of finding these points and draw them as the red nodes in the image ? Here is the code (editted):

            ...

            ANSWER

            Answered 2018-Sep-01 at 18:53

            The "angular" points you want to find are not defined as the "intersection" used to build the graph. Therefore, they can't be found using the same method.

            Depending on what is your actual definition for those points, a method could be to simplify the path using the Douglas-Peucker algorithm, using approximate_polygon in skimage (see the demo here). For this a tolerance parameter have to be chosen.

            From the example given in the sknw readme, I tried to recreate yours:

            Source https://stackoverflow.com/questions/52126276

            QUESTION

            How to find shortest path in skeletonized maze image?
            Asked 2018-Jun-27 at 05:58

            I am working on maze solving using Image Processing and NetworkX search algroithm and need to find the shortest connecting path between two points on those lines.

            ...

            ANSWER

            Answered 2018-Jun-26 at 16:31

            It's because you are reassigning you reference to the skeletonized graph here

            Source https://stackoverflow.com/questions/51043824

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

            Vulnerabilities

            No vulnerabilities reported

            Install sknw

            You can download it from GitHub.
            You can use sknw 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 .
            Find more information at:

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