LEARN OPENCV in 3 HOURS with Python | Including 3xProjects | Computer Vision

So what TUTORIALS AND PROJECTS would you like to see next ? Comment bellow and I will create the ideas with the highest votes. And thank you for all the love and support.

I'm OpenCV expert. I recommend this video perfectly as expert's view.

2:17 Introduction to Images 4:37 Installations 9:09 Read images, videos and webcam 17:01 Basic processing of image 27:31 Resizing and cropping 34:12 Adding shapes and text to image 44:59 Warping perspective 50:06 Image stacking 56:15 Colour detection - 58:41 Trackbars 1:15:38 Contouring and shape detection - 1:30:51 Bounding box 1:40:31 Face detection with OpenCV Cascades 1:46:03 Project 1 - Virtual painting 2:15:45 Project 2 - Document scanner 2:56:34 Project 3

dude i just discovered your channel and i cant believe that there are so many useful videos about opencv in even all youtube lol. you are a walking treasure please keep up...

You are amazing Martaza. Your teaching skills are probably one of the best on youtube. I hope you're channel grows. Thank you for the free information and tutorials. Wish you the best!

Heres that function he put in chapter 6 for Joining Images from his website: def stackImages(scale,imgArray): rows = len(imgArray) cols = len(imgArray[0]) rowsAvailable = isinstance(imgArray[0], list) width = imgArray[0][0].shape[1] height = imgArray[0][0].shape[0] if rowsAvailable: for x in range ( 0, rows): for y in range(0, cols): if imgArray[x][y].shape[:2] == imgArray[0][0].shape [:2]: imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale) else: imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale) if len(imgArray[x][y].shape) == 2: imgArray[x][y]= cv2.cvtColor( imgArray[x][y], cv2.COLOR_GRAY2BGR) imageBlank = np.zeros((height, width, 3), np.uint8) hor = [imageBlank]*rows hor_con = [imageBlank]*rows for x in range(0, rows): hor[x] = np.hstack(imgArray[x]) ver = np.vstack(hor) else: for x in range(0, rows): if imgArray[x].shape[:2] == imgArray[0].shape[:2]: imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale) else: imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None,scale, scale) if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR) hor= np.hstack(imgArray) ver = hor return ver

just 1 video to clear all the confusion I had in years. you deserve more then 1 like. thanks so much.

Thank you so much for this valuable course. I was new to Open cv and It took me 3 days to go through this video completely. Now I think I will be able to go through your other projects effectively. Thank you so much Murtaza.

I have become a fan ! Definitely recommend to anyone who just came to the course. Just finished chapter 7 , which was great. Chapter 5 blew my mind , it was very interesting! I can't wait to start working on the projects !!

It's nice how he is so friendly when explaining like even intermediate programmers don't have trouble he doesn't use such huge complex words. It's good for that reason as beginners learn easier that way.

A big THANK YOU! I have my final project submission in a month, it's a virtual keyboard, it's not mine, and i was having difficulty understanding the openCV and numpy functions, browsed through various videos, yours is undoubtedly the best one, now i feel like i can make a whole project just by myself!!!!!!!!!!!

Dude, your channel is like a hidden gem. Great stuff.

This level of articulation is a testament to your deep understanding of the subject. One of the best.

Possibly the best tutorial I've ever watched and I watch a TON of tutorials. You have a real gift in being able to instruct while being concise. Thank you for sharing and teaching.

Man thank you so much. I've spent all of my Machine Learning studies working with theory, Random Forests, and Linear + Logistic Regression. Getting to finally break into computer vision thanks to someone who knows what they're doing is huge, I appreciate you. I haven't finished your whole playlist yet so I can't recommend anything sadly, but something I am interested in making is a distance detector. Basically a computer vision application that shoots out one "laser" and detects the distance at that lasers end point.

YouTube tutorial par excellence. Great explanations, perfect pacing and very professional presentation. I would subscribe 10 times if I could.

Done all in 1 day, but that was hard :) also figured how to do face detection using webcam, just by using your tutorial. Great work ! thanks a lot

We need more Toturial like this. Thank you.

OMG, i was looking for good source of info about OpenCV + Python for 3 day at different languages. I just started, but thank you in advance. You are awesome.

I have taken multiple courses related to opencv and no other course gave me this much clarity information. Thank you