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Python 3.x for Computer Vision
Introduction to Image Processing
The Course Overview
Image Processing and Its Applications
Image Processing Libraries - Pillow
Geometrical Transformation - Pillow
Introduction to scikit-image
Filters and Features
Image Derivatives
Understanding Image Filters
Custom Filters and Image Thresholding
Edge Detection
Object Detection
Harris Corner Detection
Local Binary Patterns
Oriented FAST and Rotated BRIEF (ORB)
Image Stitching
Segmentation – Understanding Images Better
Contour Detection and the Watershed Algorithm
Superpixels and Normalized Graph Cut
ntegrating Machine Learning with Computer Vision
Introduction to Machine Learning
Logistic Regression
Support Vector Machines
K-means Clustering
Image Classification Using Neural Networks
Introduction to Neural Network
MNIST Digit Classification Using Neural Networks
Convolutional Neural Networks
MNIST Digit Classification Using Neural Networks
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