Viet-Anh on Software Logo
Viet-Anh on Software

AI & Software Engineering

Beginner13 lessons13 lessons

OpenCV Computer Vision Course

A comprehensive OpenCV 4.x course covering image processing, filtering, edge detection, contours, feature matching, video analysis, and deep learning inference with YOLO26 — from beginner to production.

OpenCVComputer VisionImage ProcessingPythonDeep LearningYOLO
Loading...
OpenCV Computer Vision Course

Course Curriculum

13 Lessons
01

Lesson 01: Introduction to OpenCV Course

Course overview and outline — what you will build, what tools you need, and how the lessons are structured.

May 1, 2023
02

Lesson 02: What is Computer Vision?

Understand how machines perceive images, explore real-world CV applications, and see a live YOLO26 object detection example.

May 2, 2023
03

Lesson 03: What is OpenCV?

Install OpenCV, run your first program, and understand the BGR color convention that underpins every OpenCV operation.

May 3, 2023
04

Lesson 04: Basic Image Processing

Load, display, resize, rotate, crop, and flip images with OpenCV — using real downloadable test images.

May 4, 2023
05

Lesson 05: Color Spaces

Master RGB, HSV, Grayscale, and LAB color spaces — convert between them and use HSV masking for real-world color-based object detection.

May 5, 2023
06

Lesson 06: Image Filtering for Image Enhancement

Apply average, Gaussian, median, and bilateral blurring, then sharpen images with high-pass filters, unsharp masking, and the Laplacian operator.

May 6, 2023
07

Lesson 07: Edge Detection

Learn how to detect edges in images using Sobel, Laplacian, and Canny edge detectors in OpenCV.

March 12, 2026
08

Lesson 08: Thresholding & Morphological Operations

Learn how to segment images with thresholding and refine shapes with morphological operations in OpenCV 4.x.

March 12, 2026
09

Lesson 09: Contours & Shape Analysis

Find, draw, and analyze contours to detect and measure shapes in images using OpenCV 4.x.

March 12, 2026
10

Lesson 10: Feature Detection & Matching

Detect keypoints and match features across images using SIFT, ORB, and FLANN in OpenCV 4.x.

March 12, 2026
11

Lesson 11: Video Processing & Optical Flow

Read, write, and process video streams. Track motion with background subtraction and optical flow in OpenCV 4.x.

March 12, 2026
12

Lesson 12: Deep Learning with the OpenCV DNN Module

Run YOLO26, ONNX, and other deep learning models for object detection and image classification — using the Ultralytics API and the OpenCV DNN module.

March 12, 2026
13

Lesson 13: Real-World Project — Real-Time Object Tracker

Build a complete real-time multi-object tracking application using YOLO26 detection and OpenCV trackers for persistent IDs.

March 12, 2026

Course Details

Lessons13
Duration13 lessons
Difficultybeginner

Share this Course