AI-Toolbox | Algorithm Engineer Toolbox , for the purpose | Computer Vision library

by monkeyDemon Python Version: Current License: No License

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

kandi X-RAY | AI-Toolbox Summary

AI-Toolbox is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Tensorflow, Example Codes applications. AI-Toolbox has no bugs, it has no vulnerabilities and it has low support. However AI-Toolbox build file is not available. You can download it from GitHub.

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas. This repository is a flexible toolbox that contains many independent algorithm demos. It is designed to improve the efficiency of the work, choose the algorithm demo you interested in, and slightly modify it to quickly verify your ideas. At present, the project is still in the initial stage, mainly covering algorithms in the field of image processing and computer vision, later will cover algorithms in other fields such as natural language processing and machine learning. continue to update...

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AI-Toolbox has a low active ecosystem.

It has 374 star(s) with 201 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AI-Toolbox is current.

Quality

AI-Toolbox has no bugs reported.

Security

AI-Toolbox has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

AI-Toolbox 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

AI-Toolbox releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

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

A parallel scheduler
Convert polices to str
Convert a string to a list of polices
Returns a skopt optimizer
Augment training
Randomly shrink the image
Adjust the random brightness
Add a random hue to image
Get mini batch
Calculate the focal loss
Compute image from given image path
Saves the segmentation region
Split a file
Get data set from dataset root
Performs the prediction on the input image
Download url from xlsx file
Builds a tfrecord file
Preprocess training
Sends a scheduler to the hyperparameters
Smooth an array
Evaluate a single command
Build a CNN
Find similar images
Download pic by section url
Convert a tensorrt graph to a graph
Download data from a text file

Get all kandi verified functions for this library.

AI-Toolbox Key Features

No Key Features are available at this moment for AI-Toolbox.

AI-Toolbox Examples and Code Snippets

No Code Snippets are available at this moment for AI-Toolbox.

Community Discussions

Trending Discussions on AI-Toolbox

Make can't find .hpp file in Boost

QUESTION

Make can't find .hpp file in Boost

Asked 2021-Sep-29 at 05:17

I'm using an Ubuntu virtual machine and am encountering the following error message when running the 'make' command:

...

ANSWER

Answered 2021-Sep-29 at 05:17

I ended up solving it by deleting my Boost folder and reinstalling it using the command sudo apt-get install libboost-all-dev; I just reran cmake and took out all the options I had been using except for the lpsolve one, and then when I ran make afterward I encountered no issues.

Source https://stackoverflow.com/questions/69355139

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

Vulnerabilities

No vulnerabilities reported

Install AI-Toolbox

You can download it from GitHub.
You can use AI-Toolbox 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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