Python - OpenCV and PyQt5 together (Udemy.com)

Very very good course

quality of video is bad and so is the teaching style. Can I request a refund please

Best course ever!!!! I would suggest anyone who wants to start with AI or Machine Learning. The audio is not perfect, but it worth it

Very hard to hear what the Instructor is saying. Please issue refund, I watched 25% content but could not understand.

very good explanations!

the teaching style is a programmer's approach, the course is hands-on. this is a great course to add to your toolkit of opencv courses. he explains his codes just fine. the lack of articulation for explanations is compensated instead with technical skill. no fancy mumbo jumbo PhD all theory cant code talking, just good ol' learning by doing. Section 4: Detection, 19. Hough Circle, [this code works if you have errors] import numpy as np import cv2 img = cv2.imread('./saved_images/coins.jpg', cv2.IMREAD_COLOR) img = cv2.resize(img, (600,600)) gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) gray_blurred = cv2.blur(gray_img,(5,5)) #kernel value detected_circles = cv2.HoughCircles(gray_blurred, cv2.HOUGH_GRADIENT,dp=0.2, minDist=120,param1=50,param2=30,minRadius=60,maxRadius=100) if detected_circles is not None: detected_circles = np.uint16(np.around(detected_circles)) for i in detected_circles[0, :]: # draw the outer circle cv2.circle(img, (i[0],i[1]), i[2], (0,255,0), 2) # draw the center of the circle cv2.circle(img, (i[0],i[1]), 2, (0,0,255),3) cv2.imshow("Detected Circle", img) cv2.waitKey(0) cv2.destroyAllWindows()

it's good course for all beginners who want to learn QT5, especially create a simple UI using it.

Really good course!!

This course was really interesting, I learned a lot! The teacher was helpful and always available if I needed!

Great course! Exactly what I needed. A really nice overview of machine learning algorithms. Finally get OpenCV and PyQt5 together. Thank you!!!!