Learn OPENCV with Real Code Examples

Learn Python and NumPy basics

Understand images as matrices

Explore OpenCV image/video I/O and transformations

Practice feature detection and object tracking

Integrate deep learning models for advanced vision tasks

Week 1: read/display images and basic transformations

Week 2: filtering, edge detection, contours

Week 3: object detection and tracking

Week 4: camera calibration and 3D reconstruction

Week 5: deep learning integration and real-time pipelines

What is OpenCV and what are its main uses?

Explain image representation in OpenCV

What are contours and keypoints?

How do you perform object detection in OpenCV?

Difference between OpenCV Python and C++ APIs

cv2.imread() = load image

cv2.imshow() = display image

cv2.cvtColor() = color conversion

cv2.GaussianBlur() = blur filter

cv2.CascadeClassifier() = object detection

Learning OpenCV by Gary Bradski and Adrian Kaehler

OpenCV 4 with Python Blueprints

Mastering OpenCV 4 with Python

Practical Computer Vision with OpenCV

Programming Computer Vision with Python

OpenCV official tutorials

PyImageSearch blog tutorials

YouTube OpenCV courses

MOOCs on computer vision with OpenCV

GitHub example projects

https://opencv.org/

https://docs.opencv.org/

https://github.com/opencv/opencv

OpenCV GitHub

StackOverflow OpenCV tag

Reddit /r/computervision

OpenCV Q&A forum

Online tutorials and blogs

OpenCV GitHub repository

StackOverflow OpenCV tag

OpenCV Q&A forums

Reddit /r/computervision

Tutorials, MOOCs, and blog posts