Python with OpenCV3: Computer Vision Course for Beginners

[BaDshaH]

English | 2022 | ASIN: B0BKX9C1V4 | 399 pages | PDF | 13 Mb

OpenCV provides a real-time optimized powerful computer vision library, tools. It also supports model execution for machine learning (ML) and artificial Intelligence (AI). You can use the OpenCV in a wide variety of ways like make application image processing, computer vision, video processing and more.
This book introduces you use OpenCV write first programs with Python language to make your application like image process, computer vision, video processing. This book will immediately put your knowledge with real practice.
Table of Contents
Chapter1: OpenCV3 with Python
Computer Vision
Computer Vision
Application Fields
OpenCV3 Introduction and Setup
OpenCV3 Intro
Setup On Windows
Setup On Mac
Setup On Ubuntu
Setup Raspberry-Pi
Basic Interface
Image and Video I/O
Drawing
Window Management
Event Handling
NumPy and Matplotlib
NumPy
Matplotlib
Basic Image Processing
ROI(Region of Interest)
Color Space
Threshold
Image Arithmetic
Histogram
Workshop
Face Synthesis
Motion Detecting CCTV
Geometric Transform
Translate, Scaling, Rotate
Warping
Lens Distortion
Workshop
Face Mosaic
Liquefy Tool
Distortion Camera
Filter
Convolution Filter
Blurring
Edge detection
Morphology
Image pyramids
Workshop
Mosaic2
Cartoonizing
Image Segmentation
Contour
Hough Transform
Connected Component
Workshop
Recognizing Shapes
Document Scanner
Coin Counter
Matching and Tracking
Matching with a similar picture
Feature and Key Point
Descriptor Extractor
Feature Matching
Tracking
Workshop
Panorama Picture Maker
Book cover searcher
Machine Learning and Object Detection
k-Means
k-NN
SVM and HOG
Cascade Classifier
Workshop
Face Mosaic
Hanibal Mask (Snapchat Filter)
Face Distortion (Snapchat Filter)



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