Learn how to use the image-processing power of OpenCV 3 to load, and draw on images, perform basic operations on images, detect objects and apply transformations to your images.
Overview
Syllabus
Loading images - OpenCV 3.4 with python 3 Tutorial 1.
Loading Video and Webcam - OpenCV 3.4 with python 3 Tutorial 2.
Drawing on images - OpenCV 3.4 with python 3 Tutorial 3.
Basic operations on images - OpenCV 3.4 with python 3 Tutorial 4.
Add images and Threshold - OpenCV 3.4 with python 3 Tutorial 5.
Blending images - OpenCV 3.4 with python 3 Tutorial 6.
Bitwise Operators - OpenCV 3.4 with python 3 Tutorial 7.
Trackbars – OpenCV 3.4 with python 3 Tutorial 8.
Object detection using HSV Color space – OpenCV 3.4 with python 3 Tutorial 9.
Basic Thresholding – OpenCV 3.4 with python 3 Tutorial 10.
Histograms – OpenCV 3.4 with python 3 Tutorial 11.
Basic geometric transformations – OpenCV 3.4 with python 3 Tutorial 12.
Perspective transformation – OpenCV 3.4 with python 3 Tutorial 13.
Affine transformation – OpenCV 3.4 with python 3 Tutorial 14.
Adaptive thresholding – OpenCV 3.4 with python 3 Tutorial 15.
Smoothing images – OpenCV 3.4 with python 3 Tutorial 16.
Morphological transformation – OpenCV 3.4 with python 3 Tutorial 17.
Edge detection – OpenCV 3.4 with python 3 Tutorial 18.
Find and Draw Contours – OpenCV 3.4 with python 3 Tutorial 19.
Template matching – OpenCV 3.4 with python 3 Tutorial 20.
Lines detection with Hough Transform – OpenCV 3.4 with python 3 Tutorial 21.
Corners detection – OpenCV 3.4 with python 3 Tutorial 22.
Image Pyramids – OpenCV 3.4 with python 3 Tutorial 23.
Image Pyramids (Blending and reconstruction) – OpenCV 3.4 with python 3 Tutorial 24.
Feature detection (SIFT, SURF, ORB) – OpenCV 3.4 with python 3 Tutorial 25.
Feature Matching (Brute-Force) – OpenCV 3.4 with python 3 Tutorial 26.
Mouse Events – OpenCV 3.4 with python 3 Tutorial 27.
Histogram and Back Projection - OpenCV 3.4 with python 3 Tutorial 28.
Object tracking with Mean-shift – OpenCV 3.4 with python 3 Tutorial 29.
Object tracking with Camshift – OpenCV 3.4 with python 3 Tutorial 30.
Optical Flow with Lucas-Kanade method - OpenCV 3.4 with python 3 Tutorial 31.
Background Subtraction - OpenCV 3.4 with python 3 Tutorial 32.
k-Nearest Neighbour classification - OpenCV 3.4 with python 3 Tutorial 33.
Object tracking using Homography - OpenCV 3.4 with python 3 Tutorial 34.
Fourier Transform – OpenCV 3.4 with python 3 Tutorial 35.
Knn handwritten digits recognition – OpenCV 3.4 with python 3 Tutorial 36.
Face detection using Haar Cascades – OpenCV 3.4 with python 3 Tutorial 37.
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