Computer Vision Course On Opencv

Using Python Learn Computer Vision Course on OpenCV in Python from Basic to Advance

What you’ll learn
Images and Video read in Python using OpenCV.
Resizing, Cropping of images and videos in Python using OpenCV.
Draw shapes on images such as circle, rectangle, ellipse, line.
Adding text message on images.
Hide a portion of images using XOR, NOT and AND operation.
Image manipulation such as smoothing, blurring.
Read different type of images with (single channel, 3 channel, 4 channel images).
Image splitting
Saving Images and Videos files using OpenCV on our PC.
Color conversation of images (BGR to gray), (BGR to RGB).
Reading images from different package using PILLOW.
Most important: contour and its properties for analyzing the shape of the object in an image.
Detect line on the image with canny algorithm.
Feature detection on images and matching between the images.
Common problem student face while working on OpenCV.
Requirements
Basic understanding of Python Language.
Windows or MacOS or Ubuntu machine.
Description
Welcome to the OpenCV course. If you are interested in the field of Computer Vision or Deep Learning? Then this course is for you. Nowadays, Computer Vision is used in Automation in every domain such as self-driving cars, warehouses, security, object tracking, feature matching, and many more. Moreover, in this course, we are covering the basic to advance level core concepts for image and video processing. We have taken a practical approach to explain the core concept of image and video processing. This course is best for students who want to start their career as Computer Vision Engineer.We have divided this course into Chapters. In each chapter, you will learn the core concept of Image And Video Processing. These are some of the topics that we will be covering in this course:Image ReadImage CropImage ResizedImage RotateImage SplitImage SaveVideo ReadVideo ResizingVideo SaveDraw a Circle on the ImageAdding Text Messages to ImagesDraw Line Segment on ImageDraw a Rectangle on the ImageDraw an Ellipse on the ImageArithmetic OperationImage BlendingThreshold and BlurringArea and Perimeter of ContoursFind Contours in an ImageFitting Shape on the ContoursCheckpoint if inside, outside, or on the ContoursSIFT – (Scale – Invariant Feature Transform)Feature Matching and much more! Feel free to message me on the Udemy Q&A board, if you have any queries about the course! Thanks for checking the course page, and I hope to see you in my Course!!!Pooja

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What is OpenCV ?

Lecture 3 Getting Setup for Course

Lecture 4 what is Image and Type of Imgaes ?

Section 2: OpenCV – Image Operation

Lecture 5 Image Read

Lecture 6 Image Crop

Lecture 7 Image Resized

Lecture 8 Image Rotate

Lecture 9 Image Split

Lecture 10 Image Save

Section 3: OpenCV – Video Operation

Lecture 11 Video Read

Lecture 12 Video Resized

Lecture 13 Video Save

Section 4: OpenCV – Draw Shape

Lecture 14 Draw Circle

Lecture 15 Adding Text Message

Lecture 16 Draw Line Segment

Lecture 17 Draw Rectangle

Lecture 18 Draw Eclipse

Section 5: OpenCV – Arithmetic Operation

Lecture 19 Not Arithmetic Operation

Lecture 20 AND Arithmetic Operation

Lecture 21 OR Arithmetic Operation

Lecture 22 Image Blending

Section 6: OpenCV – Threshold and Blurring

Lecture 23 Global Threshold

Lecture 24 Adaptive Thresholding

Lecture 25 Canny Edge Detection

Lecture 26 Image Blurring

Section 7: OpenCV – Contours and its Properties

Lecture 27 Area And Perimeter of Counters

Lecture 28 Find Contours in an Image

Lecture 29 Fitting Shape on the Contours

Lecture 30 Check Point if Inside, Outside or on the Contours

Section 8: OpenCV – Image feature and Matcher

Lecture 31 SIFT – (Scale-Invariant Feature Transform)

Lecture 32 Feature Matching

Section 9: OpenCV – Common Problem

Lecture 33 Save Images From Videos

Lecture 34 Make Video From Images

Lecture 35 Image from Pillow to OpenCV

Section 10: Conclusion

Lecture 36 Thank You

Python developer who is interested in Computer Vision and Deep Learning to learn how image and video processing is done using OpenCV.

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