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An easy to follow course of OpenCV using Python for beginners.
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Basics
Intermediate Update objectDetectoin.py Dec 10, 2019
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README.md Update README.md Jan 1, 2020

README.md

OPENCV PYTHON TUTORIALS FOR BEGINNERS


Basics

Topic Image Video Description
How to Install OpenCV Win/Mac Watch Now Pyhton and Opencv install and testing.
How to Read Image-Video-Webcam Watch Now Learn how to read images videos and webcam.
5 Must Know OpenCV Basic Functions Watch Now 5 Must know opencv functions for beginners. Gray Scale, Blur, Edge Detection, Dialation and Erosion.
How to Crop and Resize Images Watch Now How to crop and resize and iamge. Resize could be used to scale up or scale down an image where cropping can be used to get a part of the image.
How to Draw Shapes and Text Watch Now Learn to create blank images along with how to draw Lines, rectangles, circles and custom text.
Joining Multiple Images to Display Watch Now Join multiple images together as one image for easy visualization of the workflow. Learn how to do it for smaller noumber of images and how it could be scaled up to have several iamges in the same image.
Warp Prespective/BirdView Watch Now Learn how to creat a warp prespective of a selected area of an image using fixed points.
Detecting Clicks on Images Watch Now How to detect clicks on images and how to use these points to create a warp prespective.
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Intermidiate


Topic Image Video Description
Real Time Color Detection (Webcam) Watch Now In this video we will learn how to detect any color in an image using the HSV space with the help of opencv Trackbars. We will also stack the images together to make the workflow smoother.
Real Time Shape Detection using Contours Watch Now In this video we will learn how to detect shapes of objects by finding their contours. Contours are basically outline that bound the shape or form of an object. So we will be detecting multiple shapes and how many corners points each shape has along with its area .
Custom Obejct Detection using HaarCascade Watch Now Object Detection using the Haar cascade. We will learn how to run pre-trained models and how to collect data for custom Objects. Later we will train using this data and create an Xml file for deploying
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Advance


Topic Image Video Description
Traffic Signs Classification using CNN Watch Now Train and classify Traffic Signs using Convolutional neural networks This will be done using OPENCV in real time using a simple webcam .

Notes


Index Comment
1. Recommended IDE: PyCharm Community edition
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