
Learn how to install Python, pip, OpenCV, and Visual Studio Code from scratch. This foundational setup ensures you’re fully equipped to follow along with the practical lessons in this course.
Get introduced to NumPy, the essential library for numerical computing. Learn how to create arrays, generate random data, and perform foundational matrix operations.
Discover how to access elements within arrays and matrices using indexing. You'll also learn how to apply conditional filters to extract specific data efficiently.
Master slicing techniques to extract sub-arrays from multi-dimensional matrices. A critical skill for manipulating image data in later OpenCV applications.
Understand how references work in NumPy arrays. Learn the difference between copying and referencing data, and how changes to one array can affect another.
Learn how to reshape arrays and matrices to suit your computational needs. This includes changing dimensions, reshaping for modeling, and combining with arithmetic operations.
Dive into the dot product and matrix multiplication rules. Understand how to perform matrix algebra and when to use dot product in image processing.
Explore the key differences between NumPy arrays and matrices, how each behaves in operations, and how to switch between them.
Learn how to read and display images using OpenCV. Understand functions like cv2.imread() and cv2.imshow(), and how to save images back to disk.
Learn how to read and display video files or live camera input using OpenCV. A step-by-step walkthrough of capturing frames and controlling playback.
Explore how to capture video from camera or file and save it using OpenCV’s VideoWriter. Includes practical setup for codec, resolution, and frame rate.
Learn how to draw geometric shapes on images using OpenCV — including rectangles, circles, and lines. Essential for annotation and visual debugging.
Learn to overlay text on images using cv2.putText. Adjust font, color, size, and positioning for creating informative visuals.
Learn how to create blank images from scratch and populate them with color or patterns. Useful for simulations and graphic generation.
Learn to display real-time text overlays on video frames — such as labels, timestamps, or data readings — using OpenCV.
Explore how to handle mouse interactions within OpenCV windows. Learn how to respond to clicks and drags — useful for annotation or selection.
Learn how to select and work with specific regions within an image — a core technique for segmentation, cropping, and object tracking.
Understand how to add images and resize them to standard formats. Learn resizing methods and combining multiple images.
Discover how to use bitwise operations (AND, OR, XOR, NOT) in image masking, object extraction, and binary operations.
Learn commonly used OpenCV functions like color conversion, image thresholding, blurring, and morphological operations.
About This Course
Description
OpenCV (Open Source Computer Vision) is a powerful and widely used open-source library for real-time image and video processing. With the simplicity of Python and the efficiency of OpenCV, this course will introduce you to the basics of computer vision – no prior experience needed!
This course is perfect for beginners who want to:
Understand how image processing works
Learn the core functions of OpenCV in Python
Get comfortable with NumPy and matrix manipulation
Start building a foundation for more advanced CV topics in the future
What You'll Learn
Installing Python, OpenCV, NumPy, and Visual Studio Code
Understanding and using NumPy for basic matrix operations
Working with OpenCV to read, write, and display images and videos
Drawing shapes and putting text on images and videos
Applying basic image filters (blurring, sharpening, thresholding, edge detection)
Using mouse events, bitwise operations, and other OpenCV functions
This Course Includes
Simple, clear explanations
Practical code examples
Easy-to-follow structure, ideal for new learners
Subtitles in 18 languages
Multilingual Support
To help learners from around the world, this course includes subtitles in the following 18 languages:
English, Arabic, Spanish, Portuguese, Turkish, French, German, Italian, Japanese, Korean, Chinese, Hindi, Indonesian, Polish, Vietnamese, Filipino, Malay, and Thai
No matter where you're from – this course speaks your language.
Who This Course Is For
Complete beginners in image processing
Python learners who want to start with computer vision
Developers exploring the basics of OpenCV
Course Summary in 18 Languages:
**English**:
This beginner-friendly course will teach you the basics of OpenCV and NumPy in Python. Learn how to work with images and videos step-by-step, with clear examples and subtitles in 18 languages.
**العربية**:
هذه الدورة المناسبة للمبتدئين ستعلمك أساسيات OpenCV و NumPy باستخدام بايثون. تعلم كيفية التعامل مع الصور ومقاطع الفيديو خطوة بخطوة، مع أمثلة واضحة وترجمات بـ 18 لغة.
**Español**:
Este curso para principiantes te enseñará los conceptos básicos de OpenCV y NumPy en Python. Aprende a trabajar con imágenes y videos paso a paso, con ejemplos claros y subtítulos en 18 idiomas.
**Português**:
Este curso para iniciantes ensinará os fundamentos do OpenCV e NumPy em Python. Aprenda a trabalhar com imagens e vídeos passo a passo, com exemplos claros e legendas em 18 idiomas.
**Türkçe**:
Bu başlangıç seviyesindeki kurs, Python'da OpenCV ve NumPy'nin temellerini öğretecek. Görüntüler ve videolarla adım adım nasıl çalışılacağını net örneklerle ve 18 dilde altyazı desteğiyle öğrenin.
**Français**:
Ce cours pour débutants vous apprendra les bases d'OpenCV et de NumPy en Python. Apprenez à travailler avec des images et des vidéos étape par étape, avec des exemples clairs et des sous-titres dans 18 langues.
**Deutsch**:
Dieser einsteigerfreundliche Kurs vermittelt Ihnen die Grundlagen von OpenCV und NumPy in Python. Lernen Sie Schritt für Schritt, wie Sie mit Bildern und Videos arbeiten – mit klaren Beispielen und Untertiteln in 18 Sprachen.
**Italiano**:
Questo corso per principianti ti insegnerà le basi di OpenCV e NumPy in Python. Impara a lavorare con immagini e video passo dopo passo, con esempi chiari e sottotitoli in 18 lingue.
**日本語**:
この初心者向けコースでは、PythonでOpenCVとNumPyの基本を学べます。画像や動画をステップバイステップで扱う方法を、わかりやすい例と18言語の字幕で学びましょう。
**한국어**:
이 초보자 친화적인 강의는 Python에서 OpenCV와 NumPy의 기초를 가르쳐줍니다. 명확한 예제와 18개 언어 자막과 함께 이미지와 비디오를 다루는 방법을 단계별로 배워보세요.
**中文**:
这门面向初学者的课程将教你使用Python中的OpenCV和NumPy的基础知识。通过清晰的示例和18种语言的字幕,逐步学习如何处理图像和视频。
**हिन्दी**:
यह शुरुआती-अनुकूल कोर्स आपको Python में OpenCV और NumPy की मूल बातें सिखाएगा। स्पष्ट उदाहरणों और 18 भाषाओं में उपशीर्षकों के साथ चित्रों और वीडियो के साथ काम करना सीखें।
**Bahasa Indonesia**:
Kursus ramah pemula ini akan mengajarkan dasar-dasar OpenCV dan NumPy dengan Python. Pelajari cara mengolah gambar dan video secara bertahap dengan contoh yang jelas dan subtitle dalam 18 bahasa.
**Polski**:
Ten przyjazny dla początkujących kurs nauczy Cię podstaw OpenCV i NumPy w Pythonie. Dowiedz się, jak krok po kroku pracować z obrazami i wideo, z jasnymi przykładami i napisami w 18 językach.
**Tiếng Việt**:
Khóa học thân thiện với người mới bắt đầu này sẽ hướng dẫn bạn các kiến thức cơ bản về OpenCV và NumPy bằng Python. Học cách xử lý hình ảnh và video từng bước với các ví dụ rõ ràng và phụ đề bằng 18 ngôn ngữ.
**Filipino**:
Ang kursong ito para sa mga baguhan ay magtuturo sa iyo ng mga pangunahing kaalaman sa OpenCV at NumPy gamit ang Python. Matutunan kung paano magtrabaho gamit ang mga larawan at video nang sunud-sunod, gamit ang malinaw na mga halimbawa at mga subtitle sa 18 wika.
**Bahasa Melayu**:
Kursus mesra pemula ini akan mengajar asas OpenCV dan NumPy dalam Python. Pelajari cara bekerja dengan imej dan video langkah demi langkah, dengan contoh jelas dan sarikata dalam 18 bahasa.
**ภาษาไทย**:
คอร์สนี้เหมาะสำหรับผู้เริ่มต้น จะสอนพื้นฐานของ OpenCV และ NumPy ด้วยภาษา Python เรียนรู้การทำงานกับรูปภาพและวิดีโอแบบทีละขั้นตอน พร้อมคำบรรยายใน 18 ภาษา