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

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

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

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.

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

Quality

opennero has no bugs reported.

Security

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

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.

Reuse

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

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opennero Examples and Code Snippets

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Community Discussions

Trending Discussions on opennero

OpenNERO windows: Could not find the following Boost libraries: boost_python

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
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System Overview

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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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