OpenCV using Python

Description: Learn how to develop a machine learning application using Python and OpenCV. OpenCV is a cross-platform library of programming functions for real-time computer vision. While OpenCV is written primarily in C and C++, much of the API functionality can be accessed through wrappers in other languages, including Python. This tutorial will delve into using Python to develop computer vision application.

Topics covered:

  1. OpenCV development environment setup
  2. General Image Processing Functions
  3. Segmentation
  4. Features
  5. Tracking
  6. Detection and recognition
  7. Programming Lab

Target Audience: This tutorial is targeted to those who want to learn OpenCV using Python.

Duration: Two sessions of three-hours each. First session will cover the above listed topics in a lecture format with QnA. Second half will focus on real development of a sample machine learning application using OpenCV.

Cost : $ 49.00

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Raj Kimar

Co-founder and CTO,TechTalks.TV

Raj is the co-founder and technologist at TechTalks.TV, a platform for publishing slide-based video content. His interests lie in multimedia systems, social-networking and video-based education. He has taught courses on multimedia systems and distributed systems during his research scientist position at Georgia Tech.

Raj holds a PhD in Computer Science from Georgia Tech.