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Welcome to ComputerVision with OpenCV+Python3!

This repository contains the codes organised in chapter wise for various image and video processing applications.

Contents

  1. INSTALL AND CONFIGURE OPEN CV 1.1 Python and OpenCV 1.2 Install Python and OpenCV in Windows / Linux / MacOS 1.3 Getting Familiarise with Python3.6 -Spyder IDE 1.4 Test the Installed versions
  2. Basics of Image Processing 2.1 What is an Image? 2.2 Access and Understand Pixels 2.2.1 A Pixel and its Friendly Neighbours 2.3 Image Classification 2.3.1 BGR Image (Colour) 2.3.2 Gray Scale Image 19 2.3.3 Binary Image (Black & White) 2.4 Why BGR color space is used in OpenCV ? 2.5 Why people Convert Colour images to Gray? Goal: To create and display a black image 2.6 Pixel Values of BGR colour images Goal: To create a black, white and blue images 2.7 Read an image 2.7.1 Display an image Goal: Program to read an image and display an image 2.7.2 Save an image Goal: Program to save an image when a key ‘s’ is pressed 2.8 Resize an image Goal: Program to resize an image 2.9 Basic Image Operations Goal: Program to convert an image into gray and RGBA images Goal: To split an Image into RGB and HSV channels Goal: Program to blur, dilate, erode an image Goal: To scale an image into half, stretch, rotate
  3. Getting Started with Video Processing 3.1 What is a Video? 3.2 Why we need Video Processing? 3.3 Playing a video Goal: To play a video from a file 3.4 Reading and displaying the video using webcam Goal: Program to read and display the video from Webcam 3.5 Saving the camera video Goal: Program to save the camera video 3.6 Interacting with Videos Goal: Program to display webcam video and draw a circle on a mouse click
  4. Object Detection 4.1 What is Image Segmentation? 4.2 Why binary images are useful? 4.3 What is Thresholding? 4.4 Fixed thresholding 4.5 Adaptive thresholding Goal: Program to show threshold, binary Goal: Program to show basic binary, adaptive threshold 4.6 Contours Goal: Program to draw contours 4.7 Canny edge detection Goal: Program to detect edges using Canny filter Goal: Program to measure area and perimeter of contours 4.8 Skin Detection Goal: Program for skin detection
  5. Face Detection 5.1 Haarcascading 5.2 Detecting a face in an image Goal: Program to detect a Face Goal: To detect Eyes in image Goal: Program to detect Face and Eyes in a image
  6. Build Real world applications Challenge 1: Crop the ROI and Save the cropped image Challenge 2: Add a logo to a video Challenge 3: Adding text on videos Challenge 4: Draw a Smiley using OpenCV Challenge 5: Program to build a paint app Challenge 6: Convert Images into a Video Challenge 7: Delete the Duplicate images in a Folder Challenge 8: Build a background subtractor Challenge 9: Colour Recognition in a Image Challenge 10: Shape Recognition in a Image Challenge 11: Counting the Pipes Challenge 12: Angle Calculator Challenge 13: Object Detection Challenge 14: Face Detection in a Video Challenge 15: Building a Face Database Challenge 16: Snap a passport size photo using a webcam Challenge 17: Smile Detection Challenge 18: Add a moustache filter to a face Challenge 19: Motion Analysis of a Bouncing Ball Challenge 20: Lane Detection for Autonomous cars

Enjoy!