distance_map | ROS package for converting OccupancyGrid | Robotics library

 by   artivis C++ Version: Current License: Apache-2.0

kandi X-RAY | distance_map Summary

kandi X-RAY | distance_map Summary

distance_map is a C++ library typically used in Automation, Robotics applications. distance_map has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The distance_map package provides a 2D Distance Map class (see Distance Transform) together with the means to generate it, convert it, send it and visualize it. Quick Start • Quick Example • Plugins • Contributing.
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            kandi-support Support

              distance_map has a low active ecosystem.
              It has 32 star(s) with 13 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of distance_map is current.

            kandi-Quality Quality

              distance_map has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              distance_map is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              distance_map releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              It has 181 lines of code, 0 functions and 11 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            distance_map Key Features

            No Key Features are available at this moment for distance_map.

            distance_map Examples and Code Snippets

            No Code Snippets are available at this moment for distance_map.

            Community Discussions

            QUESTION

            Using Boost Python Numpy ndarray as a Class member variable
            Asked 2021-May-17 at 12:27

            I'm looking forward to pass an Python-Object to an Boost Python Class. This Object has an ndarray as attribute and I want to store this ndarray as a private member variable in this Class to use it later on. I could'n find a proper way to do this and I get Compiler Errors when declaring a boost::python::numpy::ndarray variable as private.

            Here is my current code:

            ...

            ANSWER

            Answered 2021-May-16 at 14:32

            The problem is that your constructor for FlatlandCBS is invalid. As per cppreference:

            Before the compound statement that forms the function body of the constructor begins executing, initialization of all direct bases, virtual bases, and non-static data members is finished. Member initializer list is the place where non-default initialization of these objects can be specified.

            The error you get - error: no matching function for call to ‘boost::python::numpy::ndarray::ndarray()’ - is the compiler telling you it has tried to use the default constructor of ndarray. This class doesn't have a default constructor, so you need to specify a different constructor to use in the initializer list (just like you did for m_railEnv!). The simplest solution here would be to move map's initialization into the initializer list like this:

            Source https://stackoverflow.com/questions/67546129

            QUESTION

            Boost max flow algorithms do not compile. error: forming reference to void
            Asked 2020-Nov-09 at 18:11

            Boost provides three different algorithms for finding max flow in directed graphs: boykov_kolmogorov, edmonds_karp and push_relabel. All of them have named and non-named parameter versions. Parameter sets they use are also very similar. Despite that, with same parameters some of these algorithms compile and some of them do not.

            push_relabel compiles nicely with both named and non-named version:

            ...

            ANSWER

            Answered 2020-Nov-09 at 18:11

            This indeed seems to be a bug.

            It appears that the choose_const_pmap for edge_capacity fails when there is no interior edge_capacity_t property defined (Interior Properties).

            Defining one makes the problem go away. However, we can check that it always takes precedence over the one provided via named paramaters:

            Source https://stackoverflow.com/questions/64734193

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

            Vulnerabilities

            No vulnerabilities reported

            Install distance_map

            You can download it from GitHub.

            Support

            distance_map is developed according to Vincent Driessen's Gitflow Workflow. This means,. For a PullRequest to get merged into devel, it must pass.
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            CLONE
          • HTTPS

            https://github.com/artivis/distance_map.git

          • CLI

            gh repo clone artivis/distance_map

          • sshUrl

            git@github.com:artivis/distance_map.git

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