LICA | official repository of LICA : A Lightweight Lane Shape | Machine Learning library

by liuruijin17 Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | LICA Summary

LICA is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. LICA has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

LICA: A Lightweight Lane Shape Detector with Curvature-Aware Learning.

Support

Quality

Security

License

Reuse

Support

LICA has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 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 LICA is current.

Quality

LICA has 0 bugs and 0 code smells.

Security

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

LICA code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

LICA is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

LICA 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.

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

Top functions reviewed by kandi - BETA

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

KP detection .
Draw an annotation .
Randomly crop image .
Sample points from a given lane .
Saves heatmaps to a grid .
Extend a lane from a lane .
Saves batch image with dbs
Project a lane marker onto a lane marker .
Plot the loss .
convert pred to lanskappas

Get all kandi verified functions for this library.

LICA Key Features

No Key Features are available at this moment for LICA.

LICA Examples and Code Snippets

No Code Snippets are available at this moment for LICA.

Community Discussions

Trending Discussions on LICA

How can i edit text to look like the on on picture?

QUESTION

How can i edit text to look like the on on picture?

Asked 2020-May-09 at 11:47

I will try my best to explain better. So i am in school for web designer and we did course of html thats all good now in css that we are done. We got homework to doo, we have to code 2 pages of our website that we are working on page Contact us and About us , i have done page contact us. Now i need to do page about us and i can't do the text over the images becuase i don't know how i tryed something with in box and stuff like that but it didnt work, now here is my page of that site so as you can see we are using diferent classes for boxes and for division to get them in the same row so answers shloud be something like our code as it dosen't fit in our code and i get something completly diferent. Text over the picture shloud look like this We have to make that in css and html. We can't make picture in ps and put text over the image.

...

ANSWER

Answered 2020-May-08 at 16:45

I think you need a font, search for the font you want in google and add it like this:

Source https://stackoverflow.com/questions/61683805

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

Vulnerabilities

No vulnerabilities reported

Install LICA

You can download it from GitHub.
You can use LICA 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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