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Python OpenCV Computer Vision Training

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Python OpenCV Computer Vision Training

Course Code: C592
  • HRDF

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What's This Course About

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.

WSQ Funding

Full Fee 1,050.00 Before GST
GST 94.50 9% of fee
Baseline Nett 619.50 SG/PR age 21+ · 50% funded
MCES / SME Nett 409.50 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - Image and Video Processing with OpenCV

Course Fee

MYR1,050.00

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

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

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

Download and Install the following software

Sign up free Google Colab account

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Computer Vision Engineer
  • Machine Learning Engineer
  • Robotics Developer
  • Augmented Reality Developer
  • Video Analytics Specialist
  • Multimedia Developer
  • Image Processing Engineer
  • Visual Effects Artist
  • Software Developer (with a focus on visual applications)
  • Drone Technology Developer
  • Biometrics Systems Engineer
  • Autonomous Vehicle Systems Developer
  • Medical Imaging Specialist
  • CCTV and Surveillance Systems Designer
  • Game Developer.

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

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