NEAT-Flappy-Bird | Using the NEAT python module | Artificial Intelligence library

by techwithtim Python Version: Current License: No License

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

kandi X-RAY | NEAT-Flappy-Bird Summary

NEAT-Flappy-Bird is a Python library typically used in Artificial Intelligence applications. NEAT-Flappy-Bird has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

An AI that plays flappy bird! Using the NEAT python module.

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Quality

Security

License

Reuse

Support

NEAT-Flappy-Bird has a low active ecosystem.

It has 655 star(s) with 464 fork(s). There are 45 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 15 have been closed. On average issues are closed in 52 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NEAT-Flappy-Bird is current.

Quality

NEAT-Flappy-Bird has 0 bugs and 0 code smells.

Security

NEAT-Flappy-Bird has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

NEAT-Flappy-Bird code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NEAT-Flappy-Bird does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

NEAT-Flappy-Bird 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.

NEAT-Flappy-Bird saves you 150 person hours of effort in developing the same functionality from scratch.

It has 375 lines of code, 21 functions and 2 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed NEAT-Flappy-Bird and discovered the below as its top functions. This is intended to give you an instant insight into NEAT-Flappy-Bird implemented functionality, and help decide if they suit your requirements.

Evaluate the given genomes
Draw a window
Determine if a bird is collide with another bird
Moves the bounding box
Jump to the current position
Get mask from surface
Draw the bird
Rotate the image using blit
Run a NEAT run

Get all kandi verified functions for this library.

NEAT-Flappy-Bird Key Features

No Key Features are available at this moment for NEAT-Flappy-Bird.

NEAT-Flappy-Bird Examples and Code Snippets

No Code Snippets are available at this moment for NEAT-Flappy-Bird.

Community Discussions

Trending Discussions on NEAT-Flappy-Bird

os unable to load image pygame.error: Couldn't open imgs\pipe.png

QUESTION

os unable to load image pygame.error: Couldn't open imgs\pipe.png

Asked 2020-Oct-12 at 14:55

source code : https://github.com/techwithtim/NEAT-Flappy-Bird line 28 - 31 (tech with tims flappy bird deep learning ai)

...

ANSWER

Answered 2020-Oct-12 at 04:17

The error has nothing to do with your version of python and it's not an issue with the repo. From what I can tell, you are trying to run the app from C:\Users\osty2\Documents\programing_projects, which has no imgs folder.

Navigate to C:\Users\osty2\Documents\programing_projects\NEAT-flappy-bird and then run it. The application will then be able to see the imgs folder.

Source https://stackoverflow.com/questions/64311517

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

Vulnerabilities

No vulnerabilities reported

Install NEAT-Flappy-Bird

You can download it from GitHub.
You can use NEAT-Flappy-Bird 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 .

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