Image Processing and Computer-Vision

OPENCV BASICS

1. Opencv Fundamentals
2. Imshow, Resizing, Imwrite & Conditional Exit
3. Drawing Shapes & Text On Image
4. Working with Videos
5. Using Mouse & Trackbar
6. Manipulating Image ROI & Channels
7. Image Addition, Resizing & Blending
8. Making an Image Transition Application
9. Making an Image Transition Application
10. Replacing ROIs & Transparent Images
11. Bitwise Operations & Basic Thresholding
12. Overlaying Logo With Removed Background

IMAGE PROCESSING I

1. Brightness & Contrast Enhancement
2. Advance Thresholding
3. Image Filtering & Convolution
4. Blurring Methods
5. artoonify Photos
6. Color Spaces & Color Models Theory
7. Image Gradients
8. Edge Detection with First & Second Order Derivatives
9. Canny Edge Detector Theory
10. Canny Edge Detector in OpenCV

IMAGE PROCESSING II

1. Morphological Operations
2. Blur Detection
3. Haar Cascades
4. Cat, Car & Pedestrian Detection With Optimization
5. Histograms
6. Histogram Equalization
7. Histogram Backprojection
8. Finding Dominant Color in Image
9. LookUpTables & Gamma Correction
10. ColorMaps
11. Advance Color Adjustment

IMAGE PROCESSING III

1. Geometric Transformations
2. Image Pyramids
3. Pyramid Blending
4. Seamless Cloning
5. Facial Cloning
6. Blob Detection
7. Contours
8. Contours, More Functions
9. Contour Analysis
10. Static Background Subtraction
11. Smart Background Subtraction
12. Car detection with Background Subtraction

CLASSICAL VISION APPLICATIONS

1. Shape Detection Application pt 1 (On Images)
2. Shape Detection Application pt 2 (On GUI & Web cam)
3. Creating a Virtual Pen & Eraser
4. Building the Harry Potter Invisibility Cloak
5. Creating a Virtual Drum

GUI AUTOMATION, SEGMENTATION & HOUGH TRANSFORMS

1. Template Matching
2. GUI Automation with PyAutoGUI
3. Making Computer Vision Game Bots
4. Image Inpainting
5. Image Segmentation with GrabCut Algorithm
6. Image Segmentation with Watershed Algorithm
7. Hough Transforms
8. Hough Lines & Circles

FEATURE DETECTORS & DESCRIPTORS

1. What Are Image Features?
2. Corner Detection
3. Feature Detectors & Descriptors In OpenCV
4. ORB (Object Oriented FAST & Rotated BRIEF) Theory
5. Feature Matching
6. Real Time Image Classification With Feature Matching
7. Real Time Object Detection With Image Features
8. Creating A Panorama
9. Feature Based Image Alignment

MACHINE LEARNING

1. Image Classification With AI, ML and DL
2. Histogram Of Oriented Gradients
3. Support Vector Machines (SVMS)
4. Image Classification With HOG + SVM
5. Training a Custom ASL Classifier
6. Training a Pedestrian Detector with HOG+SVM

OBJECT TRACKING

1. Meanshift & Camshift
2. Optical Flow Theory
3. Optical Flow In OpenCV
4. Modern Trackers In OpenCV
5. Object Tracking In OpenCV With Tracker API
6. Multiple Object Tracking In OpenCV
7. Comparing Different Trackers
8. Video Stabilization In OpenCV
9. Video Stabilization With Vidstab

DEEP LEARNING WITH DNN MODULE

1. Image Classification with GoogleNet
2. Object Detection with SSD (Single Shot Multibox detector)
3. Object Detection with YOLO (You Only Look Once).
4. Deep learning based Face Detection
5. Age Detection
6. Gender Detection
7. Hand Keypoints Detection
8. Text Detection
9. Pose Detection
10. Style Transfer
11. Image Segmentation with Mask-RCNN
12. Image Colorization
13. Facial Expression Recognition
14. Super Resolution