Computer Vision Learning Repository

This repository is created for learning and experimenting with Computer Vision.
It includes various hands-on codes for image processing, video analysis, and deep learning.

📂 Directory Structure & Description

• 📌 ch2: Basic Image Processing
  • Covers image transformation, pixel operations, and color space conversion.
• 📌 ch3-1 / ch3-2 / ch3-3: Image Filtering & Edge Detection
  • Includes blurring, sharpening, Sobel filter, and Canny edge detection.
• 📌 ch4: Geometric Transformations
  • Covers image translation, rotation, scaling, and perspective transformations.
• 📌 ch5: Image Segmentation & Morphological Operations
  • Includes thresholding, erosion & dilation, opening & closing operations.
• 📌 ch6: Feature Detection & Matching
  • Covers SIFT, ORB, and SURF feature detection and matching.
• 📌 ch7: Camera Models & Image Restoration
  • Includes camera calibration and distortion correction techniques.
• 📌 ch8: Video Processing & Object Tracking
  • Covers Optical Flow, MeanShift, and CamShift tracking methods.
• 📌 ch9: Deep Learning for Object Recognition
  • Covers CNN-based image classification and object detection using YOLO & SSD.
• 📌 hands-on project: Comprehensive Projects
  • Contains real-world Computer Vision project implementations.
• 📌 miniProject: Mini Projects
  • Includes small-scale Computer Vision experiments.
• 📌 pybo: Pybo chatbot-related code
• 📌 task1 ~ task4: Task-related code and materials

🛠 Technologies Used

• Programming Language: Python
• Libraries: OpenCV, NumPy, Matplotlib, TensorFlow, PyTorch, etc.