lane_lines | Detect Lane Lines using Canny Edge Detection and Hough | Computer Vision library

by MikaelCarpenter Python Version: Current License: No License

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kandi X-RAY | lane_lines Summary

lane_lines is a Python library typically used in Manufacturing, Utilities, Automotive, Artificial Intelligence, Computer Vision, Deep Learning, OpenCV applications. lane_lines has no bugs, it has no vulnerabilities and it has low support. However lane_lines build file is not available. You can download it from GitHub.

finding lane lines on the road. when we drive, we use our eyes to decide where to go. the lines on the road that show us where the lanes are act as our constant reference for where to steer the vehicle. naturally, one of the first things we would like to do in developing a self-driving car is to automatically detect lane lines using an algorithm. in this project, i use canny edge detection and hough transforms to detect lines in an image. then i filter and process those lines to determine which belong to the left and right lane lines. next i use the average slope, the highest point on the image, and the values from the previous frame to draw the lane lines

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lane_lines has a low active ecosystem.

It has 10 star(s) with 4 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of lane_lines is current.

Quality

lane_lines has no bugs reported.

Security

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

License

lane_lines 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.

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

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

Process an image
Draw lines on an image
Resets all global variables

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lane_lines Key Features

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lane_lines Examples and Code Snippets

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Community Discussions

Trending Discussions on lane_lines

Matrix values are inf/nan in OpenCV

QUESTION

Matrix values are inf/nan in OpenCV

Asked 2018-Apr-06 at 13:21

I am attempting to use polynomial regression on a set of points to map them to a curve. When I am constructing the design matrix, the assignment values don't seem to be going through properly. The matrix constructed is a 3 x n matrix where n is the number of points and, as is in with a design matrix, the first column should be all 1's (From the // HERE IS ASSIGNMENT section). When I print the matrix, the first column is full of random numbers and very often, infs and nans. How is that possible for constant assignment? This then causes further problems with doing any math with the matrix since it is full of not numbers and infs.

The code below is where the matrix is being constructed.

...

ANSWER

Answered 2018-Apr-06 at 13:21

A first look at your code:

Source https://stackoverflow.com/questions/49692515

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Vulnerabilities

No vulnerabilities reported

Install lane_lines

You can download it from GitHub.
You can use lane_lines 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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