OpenCV with Python Training Course Outline

Module 1: Applying Geometric Transformations to Images

  • Installing OpenCV-Python
  • Reading, Displaying, and Saving Images
  • Colour Spaces in OpenCV
  • Image Translation
  • Rotation
  • Scaling
  • Affine and Projective Transformations
  • Image Warping in OpenCV

Module 2: ​​Detecting Edges and Applying Image Filter

  • 2D Convolution
  • Blurring, Sharpening, and Edge Detection
  • Erosion and Dilation
  • Cartooning an Image

Module 3: Image Features Extraction

  • Keypoints
  • Detecting the Corners
  • SIFT (Scale Invariant Feature Transform)
  • SURF (Speeded-Up Robust Features)
  • FAST (Features from Accelerated Segmented Test)
  • BRIEF (Binary Robust Independent Elementary Features)

Module 4: Seam Carving

  • What is Seam Carving?
  • Traditional Resizing Vs Seam Carving

Module 5: Detecting Shapes and Segmenting an Image

  • Shape Matching and Contour Analysis
  • Approximating a Contour
  • Censoring a Shape
  • Image Segmentation

Module 6: Object Recognition

  • Object Detection Vs Object Recognition
  • Dense Feature Detector
  • Visual Dictionary
  • Support Vector Machines
  • Detecting and Tracking Body Parts
  • Machine Learning by an Artificial Neural Network
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Who should attend this OpenCV with Python Training Course?

The OpenCV with Python Training is a comprehensive program designed to provide participants with the knowledge and skills needed to work with the OpenCV library using the Python programming language. The course is useful for the following professionals:

  • Computer Vision Enthusiasts
  • Artificial Intelligence and Machine Learning Developers
  • Software Engineers
  • Image Processing Specialists
  • Robotics Engineers
  • Data Scientists
  • Application Developers

Prerequisites of the OpenCV with Python Training Course

There are no formal prerequisites for the OpenCV with Python Training. However, a basic understanding of OpenCV and Python can be beneficial.

OpenCV with Python Training Course Overview

OpenCV for Python allows the running of computer vision algorithms in real time using the Python language. This technology allows applications to be integrated into the cloud seamlessly. It is also an appropriate tool for fast prototyping to solve computer vision problems.

This one-day OpenCV with Python Training course provides delegates with an understanding of the concepts of object tracking and object recognition. It also teaches practical skills for image transformation, including applying geometric transformations to images, detecting edges, segmenting an image and applying image filters. Other knowledge taught includes cartooning an image and seam carving.

Course Objectives 

  • To understand the fundamentals of OpenCV and image processing with Python 
  • To learn geometric transformations such as translation, rotation, and scaling 
  • To apply image filtering, blurring, sharpening, and edge detection techniques 
  • To explore advanced feature extraction methods including SIFT, SURF, and FAST 
  • To perform seam carving and image resizing while maintaining visual integrity 
  • To analyse and detect shapes using contour analysis and image segmentation 
  • To distinguish between object detection and recognition using OpenCV tools 
  • To apply machine learning models and neural networks for object recognition 
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What’s included in this OpenCV with Python Training Course

  • World-class Training Sessions from Experienced Instructors
  • OpenCV with Python Training Certificate
  • Digital Delegate Pack
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Learn OpenCV with Python Training through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

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Fri 6th Nov 2026

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Fri 6th Nov 2026

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Package deals for OpenCV with Python Training in Cleveland

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