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Lanes Detection OpenCV Python With Source Code | Python Projects with Source Code
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Lanes Detection OpenCV Python With Source Code ​| Python Projects with Source Code

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The Lane Detection OpenCV Python Code was developed using Python OpenCV, Self Driving Car is one of AI’s most innovative technologies. Self Driving Cars use lane detection OpenCV features to detect lanes of the roads and they are trained not to drive outside of the lane.

What is OpenCV?
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.

A Lane Detection OpenCV consists of 6 Algorithm for the python OpenCV project.

Capturing and decoding video file frame by frame
Conversion of the Image to GrayScale
Applying filters to reduce noise in video frames
Edge Detection Using Canny Edge detection method
Finding the region of interest and working on that part
Detecting lanes using Hough line transform
In this Python OpenCV Project also includes a downloadable Python Project With Source Code for free, just find the downloadable source code below and click to start downloading.

By the way, if you are new to python programming and you don’t know what would be the Python IDE to use, I have here a list of the Best Python IDE for Windows, Linux, Mac OS that will suit you. I also have here How to Download and Install the Latest Version of Python on Windows.

To start executing Lane Detection OpenCV Python With Source Code, make sure that you have installed Python 3.9 and PyCharm on your computer.

Self Driving Car is one of AI’s most innovative technologies. Self Driving Cars use lane detection OpenCV features to detect lanes of the roads and they are trained not to drive outside of the lane.

If you have any questions or suggestions about Lane Detection OpenCV Python With Source Code, please feel free to leave a comment below.
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