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Image Processing & Computer Vision with Python
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Week 0 (4 hours) FREECourse Introduction18 Topics
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0.01 Welcome to the course
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0.02 Course Structure
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0.03(a) What is Computer Vision?
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0.03(b) Computer Vision Sub Domains
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0.04 Computer Vision Vs Image Processing
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0.05 About Opencv & learning resources
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0.06 Resources to learn Python
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0.07 Anaconda & Why we need Virtual Environments
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0.08 Installing Anaconda and checking it
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0.09 Creating Python Scripts and running it
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0.10 How to use a Jupyter notebook
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0.11 Installing Opencv and testing it
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0.12 Troubleshooting Installation problems
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0.13 Downloading Files in the working directory
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0.14 How to Solve Programming Errors
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0.15 Using Google Colab
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0.16 (Optional but recommended) Creating a Virtual Environment & Installing Jupyter notebook
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0.17 (Optional) Installing OpenCV from Source
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0.01 Welcome to the course
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Week 1 (5 hours) FREEPython Crash Course8 Topics|1 Quiz
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Introduction To The Week
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1.00 Download Code
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1.01 Datatypes, Variables, Strings, Printing
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1.02 Input, Eval, Lists, Dict
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1.03 Booleans, tuples, sets, operators, Conditional statements
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1.04 Loops, Enumerate, List Comprehension
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1.05 Functions, Lambda, Map, Filter, Methods
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1.06 Interospection, Try-Except, Help, Import, OOP
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Introduction To The Week
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Numpy Crash Course3 Topics|1 Quiz
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Week 2 (8 hours) FREEOpencv Basics13 Topics|1 Quiz
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Introduction To The Week
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2.00 Download Code
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2.01 Opencv Fundamentals
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2.02 Imshow, Resizing, Imwrite & Conditional Exit
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2.03 Drawing Shapes & Text On Image
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2.04 Working with Videos
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2.05 Using Mouse & Trackbar
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2.06 Manipulating Image ROI & Channels
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2.07 Image Addition, Resizing & Blending
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2.08 Making an Image Transition Application
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2.09 Replacing ROIs & Transparent Images
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2.10 Bitwise Operations & Basic Thresholding
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2.11 Overlaying Logo With Removed Background
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Introduction To The Week
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Week 3 (6 hours) FREEImage Processing Pt 113 Topics|1 Quiz
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Introduction To The Week
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3.00 Download Code
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3.01 Brightness & Contrast Enhancement
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3.02 Advance Thresholding
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3.03 Image Filtering & Convolution
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3.04 Blurring Methods
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3.05 Cartoonify Photos
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3.06 Color Spaces & Color Models Theory
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3.07 Segmenting Colored Objects
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3.08 Image Gradients
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3.09 Edge Detection with First & Second Order Derivatives
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3.10 Canny Edge Detector Theory
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3.11 Canny Edge Detector in OpenCV
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Introduction To The Week
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Lesson 2, Topic 3
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1.01 Datatypes, Variables, Strings, Printing
Linus Dominic January 7, 2020
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