SerpentAI | Helping you create AIs | Machine Learning library

by SerpentAI Python Version: optional License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | SerpentAI Summary

SerpentAI is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. SerpentAI has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However SerpentAI build file is not available. You can download it from GitHub.

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Support

Quality

Security

License

Reuse

Support

SerpentAI has a medium active ecosystem.

It has 6508 star(s) with 771 fork(s). There are 338 watchers for this library.

It had no major release in the last 12 months.

SerpentAI has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of SerpentAI is optional

Quality

SerpentAI has 0 bugs and 0 code smells.

Security

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

SerpentAI code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SerpentAI is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

SerpentAI releases are available to install and integrate.

SerpentAI has no build file. You will be need to create the build yourself to build the component from source.

SerpentAI saves you 3930 person hours of effort in developing the same functionality from scratch.

It has 8368 lines of code, 700 functions and 105 files.

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

Top functions reviewed by kandi - BETA

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

Pause recording
Merge game and input events
Clear terminal
Returns the operating system
Observe the game
Convert the frame to PNG
Merge the game and input events
Called when a join is joined
Return a JSON representation of the game
Train the model
Calculates the reward ratio
Setup Servers
Generates random actions
Observe events
Iterate over images
Called when a key is pressed
Add human observations to the replay memory
Updates SentinelAI
Handle input event
Train training and validation sets
Performs keyboard actions
Handles a touch event
Performs the Servers setup
Observe the current state
Play the game
Called when a touch is moved

Get all kandi verified functions for this library.

SerpentAI Key Features

No Key Features are available at this moment for SerpentAI.

SerpentAI Examples and Code Snippets

pyOnmyoji

Python

Lines of Code : 4

License : No License

Copy

pip install -r requirements.txt

LiaoAttack = ColorToMatch([537, 169, 1459, 963], [[(0, 0), (243, 178, 94)], [(33, -37), (150, 59, 46)], [(-331, -3), (243, 178, 94)]], 1)

if __name__ == '__main__':
  liao_status = 1

Community Discussions

Trending Discussions on SerpentAI

Keras error with captured frames when calling predict with frames from game

Convert Numpy ndarray of dtype (uint8) to OpenCV readable image

QUESTION

Keras error with captured frames when calling predict with frames from game

Asked 2021-Jun-02 at 07:19

I am using SerpentAI library to capture a game frame, build a frame stack and feed it to Keras library for predict function. When doing this, value error occurs

Here's me creating a frame stack:

...

ANSWER

Answered 2021-Jun-02 at 07:19

You still have a problem in your dimensions. As the Error says the expected input is of shape (None, 960, 600, 4) whereas you try to pass an array with shape (1, 600, 960, 4).

Switching dimensions 1 and 2 (basically just a rotation of the image) should remove the error.

Additionally I don't see the necessity of stacking the image 4 times. Your first Error says your dimensions are (1,600,960,4,3) which means you have a RGB-Image at each position. I'm assuming the net takes a RGBA-Image as input. Instead of stacking the frame 4 times, try adding just one dimension to the frame with only ones (alpha channel). This should give you an image with shape (960, 600, 4).

Source https://stackoverflow.com/questions/67796493

QUESTION

Convert Numpy ndarray of dtype (uint8) to OpenCV readable image

Asked 2020-Sep-10 at 04:46

Long story short - I'm learning how to do simple screen capture with this D3DShot (Python implementation of the Windows Desktop Duplication API) library and pass the captured data straight to OpenCV.

Captured data is np.ndarray of dtype uint8 with values in range (0, 255). I've tried multiple suggestions here on Stack Overflow and other websites, but couldn't wrap my finger around this and constantly run into errors.

Here is my current code:

...

ANSWER

Answered 2020-Sep-10 at 04:46

So the reason was very simple.. D3DShot capture needed some delay (I set it to 100ms) to initialize and the array finally wasn't empty and passed succesfully to OpenCV. Here is the updated code:

Source https://stackoverflow.com/questions/63822783

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

Vulnerabilities

No vulnerabilities reported

Install SerpentAI

You can download it from GitHub.
You can use SerpentAI 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.