OpenCV Python Tutorial - Find Lanes for Self-Driving Cars (Computer Vision Basics Tutorial)

This video was done in collaboration with Rayan Slim and ProgrammingKnowledge.

Computer Vision helps the computer see the world as we do. Learn & Master Computer Vision techniques in this fun and exciting video with top instructor Rayan Slim. You'll go from beginner to Computer Vision competent and your instructor will complete each task with you step by step on screen.

By the end of the tutorial, you will be able to build a lane-detection algorithm fuelled entirely by Computer Vision.

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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DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!

[freddyb]

6:04 Step 1: Start of tutorial
10:49 Step 2: Grayscale image
15:23 Step 3: Gaussian Blur
18:33 Step 4: Canny edge detection
22:54 Step 5: Region of Interest
30:31 Step 6: Bitwise_and
40:17 Step 7: Hough Transform
51:15 Step 8: Hough Transform 2
1:04:41 Step 9: Optimization
1:19:26 Step 10: Video

[MMphego]

This has been one of the best tutorials Ive ever watched.

[musclecard]

Really excellent video. There are many good tutorials out there that can get you to code along and get something running, but few actually teach you what you’re actually doing at every step like this video. Really really good, you’ve helped a lot of people greatly with this

[joliver]

Incredible video. I like your coding and teaching style. Bravo.

[drkknnys]

This guy is so freaking smart, that made it look easy, holy moly, thank you. You're awesome

[spookyhades]

really great for beginners just sit and try to understand each every part of the code i feel anyone can easily grasp the concepts and learn a lot. Thankyou

[theeFaris]

this is just brilliantly simple, you explained it so well, although I already watched it, I might go over to buy the course just for the support. Your simplified explanations deserve a reward, keep going

[stalinamirtharaj]

Awesome Video .. Learned the concepts behind image processing (color space, smoothing, filter, canny edge detection, mask, hough space)techniques. Happy learning with practical implementations. Thank you sir !!

[MinecraftLetstime]

To anyone looking to get into Machine Learning, this will be a perfect start! I just finished the course on Udemy, it's 18 hours, and goes step by step explaining everything. It's laid out really well! I was very surprised how good it was.

[vishalb]

Really thanks a lot I was thinking of doing a project on Self driving car prototype it helps a lot 😀😀😀

[joelstanly]

best ever video Even Python Beginners can understand this....Awesome...Keep up the good work

[jisshell]

This is an amazing video, way you explain Hough transform is mind blowing. One subscriber earned. :)

[vadrif-draco]

Great job with the Hough Transform explanation

[cristioancea]

You absolutely rock !! I don't give many likes and I subscribe even less, but you are pure awesome. Thank you for all the hard work of creating this tutorial.

[sreeananthakannan]

one of the best video, lot of in-depth thing we can understand from here

[aviralkhandelwal]

Finally found something about opencv on YouTube which is actually working on my computer, thanks a lot man

[gustavocamilosegundocarcam]

Hello people, i would like to give you an advice, working with the code i realized that the video used in this program is a little ideal, and when you start working with the code too you have to do some modifications for to contemplate those unprecitions, so it's normal if you try ths code and it doesn't work at the first, this is a very good video to undestand and the code works, you have only to do the adaptations, sorry for my english, thanks.

[felipepacheco]

Excellent Tutorial, amazing theory and practice

[n_as]

Wow ... much respect to you. the way youve explained things behind the scene in computer vision is really amazing. 1000 Thanks for your help :)

[monikrayu]

literally the best video on this topic, its a life saver