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In this video on OpenCV Python Tutorial For Beginners, we are going to see How we can do Road Lane Line Detection with OpenCV .
By the end of the tutorial, you will be able to build a lane-detection algorithm fuelled entirely by Computer Vision.
OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python.
it is Open Source and free. opencv is easy to use and install.
Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV.
At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science.
Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems.
#ProgrammingKnowledge #ComputerVision #OpenCV
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thanks bro…..
Thanks for the video. Your explanation is very clear.
the road.jpg is not available in the given sample and any random pic of road lane from the google doesn't contain channel no. in image.shape…….any solution??
thank you sir
Please make a video on mnist!!
Congrat sir #1M Milestone
Your programming style has changed in this video. You usually use poor variable names, but this time you are using clear self explanatory variable names. That's a bit weird all of a sudden.
Please introduce next part ASAP. Thank you
Hey, can you please make a video on mask rcnn, from training the data to creating an application
Because u r one of the best tutor