Course Overview and Introduction
- Course Overview
- FAQ - Frequently Asked Questions
- Course Curriculum Overview
- Getting Set-Up for the Course Content
NumPy and Image Basics
- Introduction to Numpy and Image Section
- NumPy Arrays
- What is an image?
- Images and NumPy
- NumPy and Image Assessment Test
- NumPy and Image Assessment Test - Solutions
Image Basics with OpenCV
- Introduction to Images and OpenCV Basics
- Opening Image files in a notebook
- Opening Image files with OpenCV
- Drawing on Images - Part One - Basic Shapes
- Drawing on Images Part Two - Text and Polygons
- Direct Drawing on Images with a mouse - Part One
- Direct Drawing on Images with a mouse - Part Two
- Direct Drawing on Images with a mouse - Part Three
- Image Basics Assessment
- Image Basics Assessment Solutions
Image Processing
- Introduction to Image Processing
- Color Mappings
- Blending and Pasting Images
- Blending and Pasting Images Part Two - Masks
- Image Thresholding
- Blurring and Smoothing
- Blurring and Smoothing - Part Two
- Morphological Operators
- Gradients
- Histograms - Part One
- Histograms - Part Two - Histogram Eqaulization
- Histograms Part Three - Histogram Equalization
- Image Processing Assessment
- Image Processing Assessment Solutions
Video Basics with Python and OpenCV
- Introduction to Video Basics
- Connecting to Camera
- Using Video Files
- Drawing on Live Camera
- Video Basics Assessment
- Video Basics Assessment Solutions
Object Detection with OpenCV and Python
- Introduction to Object Detection
- Template Matching
- Corner Detection - Part One - Harris Corner Detection
- Corner Detection - Part Two - Shi-Tomasi Detection
- Edge Detection
- Grid Detection
- Contour Detection
- Feature Matching - Part One
- Feature Matching - Part Two
- Watershed Algorithm - Part One
- Watershed Algorithm - Part Two
- Custom Seeds with Watershed Algorithm
- Introduction to Face Detection
- Face Detection with OpenCV
- Detection Assessment
- Detection Assessment Solutions
Object Tracking
- Introduction to Object Tracking
- Optical Flow
- Optical Flow Coding with OpenCV - Part One
- Optical Flow Coding with OpenCV - Part Two
- MeanShift and CamShift Tracking Theory
- MeanShift and CamShift Tracking with OpenCV
- Overview of various Tracking API Methods
- Tracking APIs with OpenCV
Deep Learning for Computer Vision
- Introduction to Deep Learning for Computer Vision
- Machine Learning Basics
- Understanding Classification Metrics
- Introduction to Deep Learning Topics
- Understanding a Neuron
- Understanding a Neural Network
- Cost Functions
- Gradient Descent and Back Propagation
- Keras Basics
- MNIST Data Overview
- Convolutional Neural Networks Overview - Part One
- Convolutional Neural Networks Overview - Part Two
- Keras Convolutional Neural Networks with MNIST
- Keras Convolutional Neural Networks with CIFAR-10
- LINK FOR CATS AND DOGS ZIP
- Deep Learning on Custom Images - Part One
- Deep Learning on Custom Images - Part Two
- Deep Learning and Convolutional Neural Networks Assessment
- Deep Learning and Convolutional Neural Networks Assessment Solutions
- Introduction to YOLO v3
- YOLO Weights Download
- YOLO v3 with Python
Capstone Project
- Introduction to CapStone Project
- Capstone Part One - Variables and Background function
- Capstone Part Two - Segmentation
- Capstone Part Three - Counting and ConvexHull
- Capstone Part Four - Bringing it all together
