Lane-Detection | Self driving car Lane detection | Robotics library

by kirilcvetkov92 Python Version: Current License: MIT

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

kandi X-RAY | Lane-Detection Summary

Lane-Detection is a Python library typically used in Automation, Robotics, Deep Learning applications. Lane-Detection has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Lane-Detection build file is not available. You can download it from GitHub.

Finding Lane Lines on the Road.

Support

Quality

Security

License

Reuse

Support

Lane-Detection has a low active ecosystem.

It has 8 star(s) with 4 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Lane-Detection has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Lane-Detection is current.

Quality

Lane-Detection has no bugs reported.

Security

Lane-Detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Lane-Detection 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

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

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

Process an image
Draw lines on the image
Detect segments of the image
Check if a point is outliers
Remove outliers from the data
Function to create a region of the image
Calculate the mean line from the frame buffer
Weighted image
Draw lines on the given image
Gayscale image
Convenience wrapper for canny
Blur of an image
Clear the cache

Get all kandi verified functions for this library.

Lane-Detection Key Features

No Key Features are available at this moment for Lane-Detection.

Lane-Detection Examples and Code Snippets

No Code Snippets are available at this moment for Lane-Detection.

Community Discussions

Trending Discussions on Lane-Detection

How can I replace `plt.imsave` with `cmap` option set to `gray` with opencv operations?

Confused line of code

QUESTION

How can I replace `plt.imsave` with `cmap` option set to `gray` with opencv operations?

Asked 2020-Jan-12 at 08:46

This is the source image I am working with:

I am using this github repository (the file I'm using is tools/test_lanenet.py) to do binary lane segmentation. now I get this image:

The second image is actually an image resulted from this command:

...

ANSWER

Answered 2020-Jan-12 at 07:36

Your images are not the same size. To mask the black/white image onto the color image, they need to align. I tried to simply crop them to the same minimum dimensions at the top left corner, but that did not align them properly.

However, this Python/OpenCV code will give you some idea how to start once you figure out how to align them.

Color Input:

B/W Lane Image:

Source https://stackoverflow.com/questions/59701484

QUESTION

Confused line of code

Asked 2017-Jan-26 at 08:31

I am trying to understand a code I am not sure if I am right:

...

ANSWER

Answered 2017-Jan-26 at 06:39

Let's take it apart.

Source https://stackoverflow.com/questions/41867978

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

Vulnerabilities

No vulnerabilities reported

Install Lane-Detection

You can download it from GitHub.
You can use Lane-Detection 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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