Python OpenCV Computer Vision Training

Multiday, 09/08/2025 - 18/08/2025

Venue

Tertiary Courses Malaysia G-3A-02, Corporate Office Suite, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia

Entrance Fee

MYR1,000.00

Category

Business & Professional

Event Type

Class, Course, Training or Workshop

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Schedule

DateTime
09/08/20259:30 AM - 5:30 PM
18/08/20259:30 AM - 5:30 PM
Python OpenCV Computer Vision Training

Discover the vast potential of computer vision with our Python OpenCV training at Tertiary Courses. This comprehensive course ensures participants not only set up their Raspberry Pi effectively but truly master the capabilities of OpenCV. You'll gain hands-on experience working with images, videos, webcams, and the Pi camera. Venture into the captivating world of timelapse videos, blending images, and artistic image transitioning techniques, ensuring a deep-rooted understanding of the intricate facets of computer vision.

The course doesn't stop at foundational knowledge. Dive into advanced realms as you transform images, manipulate colorspaces, and track objects with precision. Learn the nuances of employing high- and low-pass filters to refine images, detect prominent contours, edges, lines, and circles with ease, and master the cutting-edge domain of face recognition. Backed by expert guidance and immersive practical sessions, this training is your definitive pathway to conquering Python-driven OpenCV Computer Vision expertise.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M596

Topic 1 Overview of Computer Vision

  • Overview of Computer Vision

  • Computer Vision Industrial Applications

  • Overview of Raspberry Pi

  • Setup Raspberry Pi

  • Introduction to OpenCV

  • Install OpenCV on Raspberry Pi

Topic 2 Image Processing

  • Basic Image and Video Operations

  • Drawing Shapes

  • Color Space

  • Image Addition and Blending

  • Geometric Transformation

  • Image Filtering

  • Morphological Transformation

Topic 3 Feature Extraction and Description

  • Understanding Features

  • Corner Detection

  • Thresholding

  • Edge Detection

  • Template Matching

Topic 4 Machine Learning Based Computer Vision

  • Haar Cascade Object Detection

Topic 5 Video Analytics

  • Background Subtraction

  • Object Detection with MeanShift

  • Object Detection with CAMShift

  • Optical Flow