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OpenCV with Python (Computer Vision)
Highest Rated
Rating: 4.5 out of 5(75 ratings)
338 students

OpenCV with Python (Computer Vision)

Using Python Learn Computer Vision Course on OpenCV in Python from Basic to Advance
Highest Rated
Created byPooja Dhouchak, FatheVision AI
Last updated 11/2022
English

What you'll learn

  • Images, 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.

Course content

10 sections • 36 lectures • 4h 6m total length

  • Introduction1:48
  • What is OpenCV ?1:21

    Explore OpenCV, an open source library for image and video processing used in many computer vision projects, with support for C++, Python, and Java.

  • Getting Setup for Course7:36

    Set up the OpenCV with Python environment by installing Python 3.10, PyCharm community edition, and a virtual environment, then install OpenCV and NumPy and verify the version.

  • what is Image and Type of Imgaes ?4:10

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 Read

  • Image Crop

  • Image Resized

  • Image Rotate

  • Image Split

  • Image Save

  • Video Read

  • Video Resizing

  • Video Save

  • Draw a Circle on the Image

  • Adding Text Messages to Images

  • Draw Line Segment on Image

  • Draw a Rectangle on the Image

  • Draw an Ellipse on the Image

  • Arithmetic Operation

  • Image Blending

  • Threshold and Blurring

  • Area and Perimeter of Contours

  • Find Contours in an Image

  • Fitting Shape on the Contours

  • Checkpoint if inside, outside, or on the Contours

  • SIFT - (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

Who this course is for:

  • 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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