vball | ball recognition and tracking in live volleyball game | Machine Learning library

by tprlab Python Version: Current License: Apache-2.0

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

kandi X-RAY | vball Summary

vball is a Python library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. vball has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However vball build file is not available. You can download it from GitHub.

This repo is for ball recognition and tracking in live volleyball game.

Support

Quality

Security

License

Reuse

Support

vball has a low active ecosystem.

It has 72 star(s) with 27 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

vball has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of vball is current.

Quality

vball has 0 bugs and 0 code smells.

Security

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

vball code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

vball is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

vball releases are not available. You will need to build from source code and install.

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

vball saves you 199 person hours of effort in developing the same functionality from scratch.

It has 490 lines of code, 37 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Train the KNeighbors classifier
Return a list of all images in fpath
Read theme data
Prepare data
Check if a node pool is ready
Find a node pool
List the node pools in a cluster
Create a new node pool
Clips the given image
Check to see if the given pic is correct
Draw the ball path
Draw a ball
Extract low blobs from a clip
Find the high resolution of a contour
Ensure directory exists
Read a list of flat ctypes
Return a dictionary of pic classes
Draw the high contours of the given image
Processes all the files in the given directory
Create a CNN model
Reads theme folder
Process a file
Find a Kubernetes cluster by name
Predict the model
Get the node pool

Get all kandi verified functions for this library.

vball Key Features

No Key Features are available at this moment for vball.

vball Examples and Code Snippets

No Code Snippets are available at this moment for vball.

Community Discussions

Trending Discussions on vball

Best way to handle circle-circle collisions in a Swift game?

QUESTION

Best way to handle circle-circle collisions in a Swift game?

Asked 2021-Jan-08 at 18:15

I am making a Swift game similar to Air Hockey in SpriteKit.

I am trying to have accurate/expected 'impulses' applied to the puck when it is struck by the player's mallet.

I have access to the player's velocity. I also have accurate collision detection between the two circles by using func didBegin(_ contact: SKPhysicsContact). Additionally I have the expected direction the ball should bounce based on where it struck the player's mallet (since its a circle this direction might be different than you would expect by looking at the player's dx and dy.)

This is what Im currently doing but it feels a bit unnatural and off:

...

ANSWER

Answered 2021-Jan-08 at 13:15

Pseudo-code:

Source https://stackoverflow.com/questions/65620415

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

Vulnerabilities

No vulnerabilities reported

Install vball

You can download it from GitHub.
You can use vball 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

Used an open dataset from some austrian leagueStory @ TowardDataScienceStory @ Habr(Russian)vball.io - a service I started to cut rallies and digest volleball videos based on this ball tracking algo.

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