Learn everything you need to know about OpenCV in this full course for beginners.

We’ll start all the way from the very basics (reading images and video, image transformations, drawing on images) to the more advanced concepts (color spaces, edge detection, and thresholding). Towards the end, we’ll be building a Deep Computer Vision model to detect between the characters in “The Simpsons”.

⭐️ Code ⭐️
🔗Github link: https://github.com/jasmcaus/opencv-course
🔗Caer: https://github.com/jasmcaus/caer

⭐️ Course Contents ⭐️
⌨️ (0:00:00): Introduction
⌨️ (0:01:07): Installing OpenCV and Caer
Section #1 - Basics
⌨️ (0:04:12): Reading Images & Video
⌨️ (0:12:57): Resizing and Rescaling Frames
⌨️ (0:20:21): Drawing Shapes & Putting Text
⌨️ (0:31:55): 5 Essential Functions in OpenCV
⌨️ (0:44:13): Image Transformations
⌨️ (0:57:06): Contour Detection
Section #2 - Advanced
⌨️ (1:12:53): Color Spaces
⌨️ (1:23:10): Color Channels
⌨️ (1:31:03): Blurring
⌨️ (1:44:27): BITWISE operations
⌨️ (1:53:06): Masking
⌨️ (2:01:43): Histogram Computation
⌨️ (2:15:22): Thresholding/Binarizing Images
⌨️ (2:26:27): Edge Detection
Section #3 - Faces:
⌨️ (2:35:25): Face Detection with Haar Cascades
⌨️ (2:49:05): Face Recognition with OpenCV’s built-in recognizer
Section #4 - Capstone
⌨️ (3:11:57): Deep Computer Vision

#opencv #python #deep-learning #artificial-intelligence #machine-learning