Image Processing & Computer Vision with Python – Bleed AI

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Week 0 (4 hours) FREE

Course Introduction 18 Topics Sample Lesson

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0.01 Welcome to the course

0.02 Course Structure

0.03(a) What is Computer Vision?

0.03(b) Computer Vision Sub Domains

0.04 Computer Vision Vs Image Processing

0.05 About Opencv & learning resources

0.06 Resources to learn Python

0.07 Anaconda & Why we need Virtual Environments

0.08 Installing Anaconda and checking it

0.09 Creating Python Scripts and running it

0.10 How to use a Jupyter notebook

0.11 Installing Opencv and testing it

0.12 Troubleshooting Installation problems

0.13 Downloading Files in the working directory

0.14 How to Solve Programming Errors

0.15 Using Google Colab

0.16 (Optional but recommended) Creating a Virtual Environment & Installing Jupyter notebook

0.17 (Optional) Installing OpenCV from Source

Week 1 (5 hours) FREE

Python Crash Course 8 Topics | 1 Quiz Sample Lesson

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Introduction To The Week

1.00 Download Code

1.01 Datatypes, Variables, Strings, Printing

1.02 Input, Eval, Lists, Dict

1.03 Booleans, tuples, sets, operators, Conditional statements

1.04 Loops, Enumerate, List Comprehension

1.05 Functions, Lambda, Map, Filter, Methods

1.06 Interospection, Try-Except, Help, Import, OOP

Numpy Crash Course 3 Topics | 1 Quiz Sample Lesson

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1.07 Numpy Crash Course Pt 1

1.08 Numpy Crash Course Pt 2

1.09 Numpy Crash Course Pt 3

Week 2 (8 hours) FREE

Opencv Basics 13 Topics | 1 Quiz Sample Lesson

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Introduction To The Week

2.00 Download Code

2.01 Opencv Fundamentals

2.02 Imshow, Resizing, Imwrite & Conditional Exit

2.03 Drawing Shapes & Text On Image

2.04 Working with Videos

2.05 Using Mouse & Trackbar

2.06 Manipulating Image ROI & Channels

2.07 Image Addition, Resizing & Blending

2.08 Making an Image Transition Application

2.09 Replacing ROIs & Transparent Images

2.10 Bitwise Operations & Basic Thresholding

2.11 Overlaying Logo With Removed Background

OpenCV Week 2 Quiz

Week 3 (6 hours) FREE

Image Processing Pt 1 13 Topics | 1 Quiz Sample Lesson

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Introduction To The Week

3.00 Download Code

3.01 Brightness & Contrast Enhancement

3.02 Advance Thresholding

3.03 Image Filtering & Convolution

3.04 Blurring Methods

3.05 Cartoonify Photos

3.06 Color Spaces & Color Models Theory

3.07 Segmenting Colored Objects

3.08 Image Gradients

3.09 Edge Detection with First & Second Order Derivatives

3.10 Canny Edge Detector Theory

3.11 Canny Edge Detector in OpenCV

Week 4 (6 hours)

Image Processing Pt 2 14 Topics | 1 Quiz

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Introduction To The Week

4.00 Download Code

4.01 Morphological Operations

4.02 Blur Detection

4.03(a) Haar Cascades Theory

4.03(b) Haar Cascades, Face & Eye Detection

4.04 Cat, Car & Pedestrian Detection With Optimization

4.05 Histograms

4.06 Histogram Equalization

4.07 Histogram Backprojection

4.08 Finding Dominant Color in Image

4.09 LookUpTables & Gamma Correction

4.11 Advance Color Adjustment

Week 5 (12 hours)

Image Processing Pt 3 14 Topics | 1 Quiz

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Introduction To The Week

5.00 Download Code

5.01 Geometric Transformations

5.02 Image Pyramids

5.03 Pyramid Blending

5.04 Seamless Cloning

5.05 Facial Cloning

5.06 Blob Detection

5.08 Contours, More Functions

5.09 Contour Analysis

5.10 Static Background Subtraction

5.11 Smart Background Subtraction

5.12 Car detection with Background Subtraction

Week 6 (6 hours)

Classical Vision Applications 7 Topics

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Introduction To The Week

6.00 Download Code

6.01 Shape Detection Application pt 1 (On Images)

6.02 Shape Detection Application pt 2 (On GUI & Web cam)

6.03 Creating a Virtual Pen & Eraser

6.04 Building the Harry Potter Invisibility Cloak

6.05 Creating a Virtual Drum

Week 7 (7 hours)

GUI Automation, Segmentation & Hough Transforms 10 Topics | 1 Quiz

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Introduction To The Week

7.00 Download Code

7.01 Template Matching

7.02 GUI Automation with PyAutoGUI

7.03 Making Computer Vision Game Bots

7.04 Image Inpainting

7.05 Image Segmentation with GrabCut Algorithm

7.06 Image Segmentation with Watershed Algorithm

7.07 Hough Transforms

7.08 Hough Lines & Circles

Week 8 (5 hours)

Feature Detectors & Descriptors 11 Topics | 1 Quiz

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Introduction To The Week

8.00 Download Code

8.01 What Are Image Features?

8.02 Corner Detection

8.03 Feature Detectors & Descriptors In OpenCV

8.04 ORB (Object Oriented FAST & Rotated BRIEF) Theory

8.05 Feature Matching

8.06 Real Time Image Classification With Feature Matching

8.07 Real Time Object Detection With Image Features

8.08 Creating A Panorama

8.09 Feature Based Image Alignment

Week 9 (8 hours)

Machine Learning 9 Topics | 1 Quiz

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Introduction To The Week

9.00 Download Code

9.01 Introduction To Artificial Intelligence

9.02 Image Classification With AI, ML and DL

9.03 Histogram Of Oriented Gradients

9.04 Support Vector Machines (SVMS)

9.05 Image Classification With HOG + SVM

9.06 Custom ASL Classification

9.07 Pedestrian Detection With HOG+SVM

Week 10 (5 hours)

Object Tracking 12 Topics | 1 Quiz

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Introduction To The Week

10.00 Download Code

10.01 Object Tracking Introduction

10.02 Meanshift & Camshift

10.03 Optical Flow Theory

10.04 Optical Flow In OpenCV

10.05 Modern Trackers In OpenCV

10.06 Object Tracking In OpenCV With Tracker API

10.07 Multiple Object Tracking In OpenCV

10.08 Comparing Different Trackers

10.09 Video Stabilization In OpenCV

10.10 Video Stabilization With Vidstab

Week 11 (10 hours)

Deep Learning 16 Topics | 1 Quiz

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Introduction To The Week

11.00 Download Code

11.01 Deep Learning In OpenCV With DNN Module

11.02 Image Classification WIth DNN Module

11.03 Face Detection With DNN Module

11.04 SSD Based Object Detection

11.05 Object Detection With YOLO v3

11.06 Image Segmentation With Mask R-CNN

11.07 Age Detection

11.08 Gender Detection With DNN

11.09 Facial Expression Recognition

11.10 Image Colorization

11.11 Super Resolution With DNN

11.12 Neural Style Transfer

11.13 Human Body Pose Estimation With OpenPose

11.14 Hand Keypoint Detection

Instructions For Getting Certificate Of Completion

Thank You 2 Topics

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About Instructor

Taha Anwar

Computer Vision Engineer/Scientist, Founder Bleed-AI, Course Instructor,Publishes Open source Projects, libraries and tutorials. Also Works with the Official Opencv.Org team, Mensan

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Course Includes

15 Lessons
150 Topics
11 Quizzes
Course Certificate