dinoAI | CNN trained to play Google 's dinosaur run game | Game Engine library

by jg-fisher Python Version: Current License: No License

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

kandi X-RAY | dinoAI Summary

dinoAI is a Python library typically used in Gaming, Game Engine, Deep Learning applications. dinoAI has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

CNN trained to play Google's dinosaur run game.

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Quality

Security

License

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Support

dinoAI has a low active ecosystem.

It has 52 star(s) with 21 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 71 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dinoAI is current.

Quality

dinoAI has 0 bugs and 0 code smells.

Security

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

dinoAI code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dinoAI 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

dinoAI 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.

dinoAI saves you 55 person hours of effort in developing the same functionality from scratch.

It has 144 lines of code, 3 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

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Wrapper around canny

Get all kandi verified functions for this library.

dinoAI Key Features

No Key Features are available at this moment for dinoAI.

dinoAI Examples and Code Snippets

No Code Snippets are available at this moment for dinoAI.

Community Discussions

Trending Discussions on dinoAI

cv2.waitKey(25) & 0xFF == ord('q'): and cv2.imwrite() not working

QUESTION

cv2.waitKey(25) & 0xFF == ord('q'): and cv2.imwrite() not working

Asked 2018-Jun-03 at 19:16

I am following this project to make a AI that plays Google Chrome Dino game. I am stuck at a point while capturing screen feed to generate training data. I am new to CV

The project is supposed to supposed to break the video feed and save the CSV file in cv2.waitKey(25) & 0xFF == ord('q'): condition. Which I believe is when key "q" is pressed. But nothing happens when I press 'q'. The print statement in this if condition doesn't print when I press q.

Also although the console prints the print statement in 'up' ,'down' or 't' key pressed condition but the

...

ANSWER

Answered 2018-Jun-03 at 19:16

cv2.waitKey() does only work if you press the key while an OpenCV window (e.g. created with cv2.imshow()) is focused. It seems for me as you don't use GUI features of OpenCV at all.

If you have a OpenCV GUI in your program, focus it and then press the key.

If not, and if you don't want to implement one, why not use keyboard.isPressed()?

Source https://stackoverflow.com/questions/50670024

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

Vulnerabilities

No vulnerabilities reported

Install dinoAI

You can download it from GitHub.
You can use dinoAI 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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