dokai | Docker images for ML/DL and video processing projects | Machine Learning library

by osai-ai Python Version: v21.11 License: MIT

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

kandi X-RAY | dokai Summary

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

Three types of images differ by tag postfix:.

Support

Quality

Security

License

Reuse

Support

dokai has a low active ecosystem.

It has 73 star(s) with 5 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 8 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dokai is v21.11

Quality

dokai has no bugs reported.

Security

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

License

dokai 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

dokai releases are available to install and integrate.

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Performs a training step
Calculate the average accuracy
Get data loaders
Calculate linear learning rate based on base_lr

Get all kandi verified functions for this library.

dokai Key Features

No Key Features are available at this moment for dokai.

dokai Examples and Code Snippets

No Code Snippets are available at this moment for dokai.

Community Discussions

Trending Discussions on dokai

Why does my tab container box exceed my main div?

QUESTION

Why does my tab container box exceed my main div?

Asked 2017-Nov-22 at 03:57

I really need your help with this. I have been at this for a few hours to no avail. So I am taking to the interwebs of gurus and experts.

Why does my .tab_container div exceed my main div on the right? How do you remedy this problem?

Here's a picture of the problem:

Here's a picture of the desired result:

Here is the HTML and CSS Markup in question:

...

ANSWER

Answered 2017-Nov-22 at 03:57

Your .tab_container has padding property. It will add up to the value of the actual width, say for example you have a width of 200px and you've added padding to all sides with 3px, the final width would be actual width(200px) + padding(3px) = 203px.

If you wanted to add a padding on all your div containers without changing the desired width add this code in your css.

Source https://stackoverflow.com/questions/47426318

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

Vulnerabilities

No vulnerabilities reported

Install dokai

You can download it from GitHub.
You can use dokai 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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