OpenCV C++ Lecture Materials
OpenCV C++ Lecture Materials
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📖 Full lecture available here: marearts.com/blogs/aws-lambda-lecture
📦 Section 1: OpenCV Build Setup
7 videos · 1 hour 2 minutes
- ⚙️ Step 1: Preparation (8:04)
- 🔧 Step 2: CMake Configuration and Build (14:02)
- ▶️ Step 3: Build, Settings, and Running Examples (12:10)
- 💻 OpenCV + C++ Easy Installation (Part 1/2) (10:12)
- 💻 OpenCV + C++ Easy Installation (Part 2/2) (6:51)
- 🐍 OpenCV + Python Easy Installation (Part 1/2) (4:53)
- 🐍 OpenCV + Python Easy Installation (Part 2/2) (6:14)
🎬 Section 2: OpenCV Basics - Introduction
7 videos · 1 hour 39 minutes
- 👁️ Computer Vision & OpenCV Introduction (13:44)
- 🚀 Getting Started with OpenCV: Download & Setup (22:04)
- 🏗️ Building OpenCV: CMake and Webcam Example (16:13)
- 📊 Understanding the Mat Class (15:26)
- ➕ Mat Basic Operations (+, -, /, *) (12:06)
- 🖼️ Basic Image Processing: Load and Display (6:33)
- 🔍 Accessing Pixel Data (12:58)
🧮 Section 3: Working with Mat
9 videos · 2 hours 2 minutes
- 📂 Loading and Displaying Images and Videos (14:45)
- 🔄 Mat Basic Functions (copy, copyTo, clone, range, region) (14:42)
- 🎨 RGB Pixel Structure in Images (10:49)
- 🎯 Pixel Access Using Data and At Operator (13:02)
- 🔗 Pixel Access Using Ptr and Iterator (8:20)
- 💾 Saving Mat to Image Files (16:17)
- 📐 Linear Algebra Operations (solver, eigenvalues, SVD) (13:16)
- 🧪 Linear Algebra (inner/cross product, inverse, trace, determinant) (13:19)
- 🎮 GPU Mat Example (17:33)
🎨 Section 4: Drawing, Mouse, and Controls
6 videos · 1 hour 14 minutes
⚡ Section 5: Point Processing
8 videos · 1 hour 39 minutes
🔬 Section 6: Advanced Point Processing
6 videos · 54 minutes
📊 Section 7: Histogram
6 videos · 54 minutes
🚨 Section 8: Project #1 - Intruder Detection with Google Drive Upload
5 videos · 39 minutes
🎁 Section 9: Bonus Content
3 videos · 1 hour 2 minutes
- 🤖 Keras + CNN + MNIST with Colab (18:46)
- 📱 Deep Learning Model Optimization for IoT (Raspberry Pi, Mobile, AWS Lambda) (11:30)
- 📈 Model Performance Evaluation (Accuracy, Recall, Precision, F1, ROC, AUC) Explained (31:59)
