Sztandarowa biblioteka do Computer Vision. Poznałem Pythona (i kupiłem OpenCV AI Kit :D ) na tyle, że pora zacząć wykorzystywać go do czegoś bardziej interesującego. Chciałbym żeby ten post był spisem zagadnień i zapisem postępów nauki.

Przydatne linki

Zbiór linków z przydatnymi informacjami na start: Reddit: r/computervision/

Wykłady AGH - Morphological Transformations

OpenCV Python Tutorials

Ciekawe projekty

Początkujące:

• Text skew correction
• Recognizing LCD Digits
• Rotate Images
• Watermarking images
• Determining object color
• Shape detection
• center of contour
• panorama stitching
• OpenCV GrabCut: Foreground Segmentation and Extraction

Zaawansowane:

• Sudoku Solver
• Segmentacja obrazu GrabCut
• OpenCV Selective Search
• Open CV inpainting
• Face Detection & Blur
• Video: Scene Boundaries detection
• Holistically-Nested Edge Detection
• b&W images Colorization

OpenCV - najważniejsze zagadnienia

Lista tematów przerabianych na oficjalnych kursach od OpenCV

COMPUTER VISION I Module 1 :Getting Started with OpenCV

1. Introduction to computer vision
2. Basic image operations
3. Mathematical operations on images
4. Sunglass filter : A simple application
5. Bitwise operations
6. Image Annotation
7. QR code detection

Module 2 : Video IO and GUI

1. Video IO using HighGUI
2. Keyboard as input device
3. Using the mouse for image annotation
4. Adding trackbar controller to your OpenCV application

Module 3 : Binary Image Processing

1. Thresholding
2. Erosion / Dilation
3. Implementing morphological operations from scratch.
4. Opening and Closing
5. Connected Component Analysis
6. Contour Analysis
7. Blob Detection
8. Coin Detection

Module 4 : Image Enhancement and Filtering

1. Color Spaces
2. Color Transforms
3. Image Filtering
4. Image Smoothing
5. Image Gradients
6. Autofocus Application

Module 5 : Advanced Image Processing and Computational Photography

1. Hough Transforms
2. High Dynamic Range Imaging
3. Seamless Cloning
4. Image Inpainting

Module 6 : Geometric Transforms and Image Features

1. Affine Transform
2. Homography
3. Image Features
4. Feature Matching
5. Image Alignment
6. Creating Panoramas
7. Finding known objects in an image
8. Selfie Application 1:
   • Instagram Filters
   • Blemish Removal
   • Green Screening

Module 7 : Image Segmentation and Recognition

1. Image segmentation using GrabCut
2. Introduction to AI
3. Object Detection
4. Image Classification

Module 8 : Video Analysis

1. Motion Estimation using Optical Flow
2. Object Tracking
3. Kalman Filtering
4. Meanshift and Camshift

Module 9 : Deep Learning with OpenCV

1. Image Classification
2. Object Detection
3. Face Detection
4. Human Pose Estimation
5. Selfie Application
   • Skin smoothing
   • Sunglass filter
6. Document Scanner
7. Detection and Tracking