opennero | Game platform for Artificial Intelligence research | Machine Learning library

 by   nnrg C++ Version: release-2015-08-30 License: Non-SPDX

kandi X-RAY | opennero Summary

kandi X-RAY | opennero Summary

opennero is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pygame applications. opennero has no bugs, it has no vulnerabilities and it has low support. However opennero has a Non-SPDX License. You can download it from GitHub.

OpenNERO is an open source software platform designed for research and education in Artificial Intelligence. The project is based on the Neuro-Evolving Robotic Operatives (NERO) game developed by graduate and undergraduate students at the Neural Networks Research Group and Department of Computer Science at the University of Texas at Austin.
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              opennero has a low active ecosystem.
              It has 186 star(s) with 46 fork(s). There are 30 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 36 open issues and 129 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of opennero is release-2015-08-30

            kandi-Quality Quality

              opennero has no bugs reported.

            kandi-Security Security

              opennero has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              opennero has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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              opennero releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.

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            opennero Key Features

            No Key Features are available at this moment for opennero.

            opennero Examples and Code Snippets

            No Code Snippets are available at this moment for opennero.

            Community Discussions

            QUESTION

            OpenNERO windows: Could not find the following Boost libraries: boost_python
            Asked 2018-Nov-15 at 22:53

            I am trying to run OpenNERO on my Windows 10. I had installed all the dependencies mentioned on their wiki for building it. My Python version is 2.7.15 (have tried with Python 2.7, and latest 3.7.1 as well), boost version is 1.58 (have tried 1.66 and 1.53 as well).

            I went to my boost folder location: "C:\Program Files\boost\boost_1_67_0", and opened the command prompt as an administrator in that location, and then followed the instructions to build boost. I ran the bootstrap.bat file in the cmd, output shown below:

            Then I ran the .\b2 --build-type=complete -j2 command which ran for a couple of hours and the short output is shown in this pastebin.

            Following this I went to Cmake and tried to build the project which gave me following errors:

            Could NOT find Boost

            Boost version: 1.67.0

            Boost include path: C:/Program Files/boost/boost_1_67_0

            Could not find the following Boost libraries:

            ...

            ANSWER

            Answered 2018-Nov-15 at 22:53

            Changed the line 26 in this cmake file from FIND_PACKAGE (Boost COMPONENTS python filesystem serialization system date_time) to FIND_PACKAGE (Boost COMPONENTS python27 filesystem serialization system date_time) so that it looks for python27 instead of python. Also used the 64bit generator in cmake gui instead of the 32 bit one.

            Source https://stackoverflow.com/questions/53273860

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

            Vulnerabilities

            No vulnerabilities reported

            Install opennero

            Get OpenNERO OpenNERO Dependencies Download a Binary Linux Windows Mac OS X Build from Source Linux Windows Mac OS X
            Demonstrations Search The Maze Environment First Person Search Uninformed Search Heuristic Search Planning Tower of Hanoi Environment Symbolic Planning Natural Language Processing Tower of Hanoi Environment Natural Language Processing Reinforcement Learning The Maze Environment Q-learning Evolutionary Computation The Roomba Environment Neuroevolution Multi-Agent Systems NERO Environment NERO Machine Learning Game Vision The Vision Environment Vision: Edge Detection
            Exercises OpenNero Setup Adding Stuff Create Roomba Agent Maze Generator Maze Solver AI Exercises Heuristic Search Planning NLPExercise QLearningExercise Maze Learner Advanced Maze Nero Tournament Sample Tournament Results Object Recognition
            System Documentation
            Headless Mode
            System Overview

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            https://github.com/nnrg/opennero.git

          • CLI

            gh repo clone nnrg/opennero

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            git@github.com:nnrg/opennero.git

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