OpenCV Training Course
4.5/5

OpenCV – a library of Computer Vision offers high relevance to AI and machine learning enabling object detection, video analysis, image processing, camera calibration and much more. Acquiring in-depth knowledge of computer vision allows you to resolve system and device issues involving sensor detection.

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Course Highlights

  • • Instructor-led classroom and online training modes
  • • Best-in-class training curriculum
  • • Beginner to expert level training
  • • Hands-on programming practice
  • • Python projects for hands-on exposures
  • • Practice activities
  • • Unlimited access - online or offline
  • • Flexible guaranteed to run schedules
  • • Self-paced learning
Course Description

OpenCV – a library of Computer Vision offers high relevance to AI and machine learning enabling object detection, video analysis, image processing, camera calibration and much more. Acquiring in-depth knowledge of computer vision allows you to resolve system and device issues involving sensor detection. It empowers you to detect and extract a world of information about environments using a simple camera. The real-world applications of Open CV include self-driven cars, industrial automation, and robots.

Brillica Services and its team of experienced and certified instructors walk the extra mile and stimulate the knowledge craving for the OpenCV essentials including image processing, computing histogram,  image processing,  how to compute the histogram, pre-processing video inputs and much more.  Our all-inclusive OpenCV training course helps you gain proficiency in tracking image and objects, writing threshold programs in python, develop object tracking and document control applications and so on.

We help you attain the highest level of efficiency in rendering the realistic OpenCV capabilities with our out-of-the-box OpenCV training courses available in diverse training modes and flexible schedules.

Course objectives

Upon successful course completion the learners learn about:

  • Using the Open CV-Library
  • Creating own image using a face detection program
  • Data types and structures
  • Using video inputs
  • Creating custom interfaces
  • Different tools of image processing including pixel and area manipulation, how to draw rectangles, concentric circles, random circles and lines, OpenCV transformation of the image
  • Different concepts of Open CV-Library, image fundamentals, image processing techniques, image filtering techniques, feature detection, video analysis
  • Morphological operations, dilation and erosion, object tracking, barcode decoding and detection
  • Applications in the real world
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Target Audience

The course is ideally meant for:

  • Engineers and architects seeking to utilize OpenCV
  • Anyone interested in Computer Vision or Artificial Intelligence
Pre-requisite

As a preferred requisite, the course can benefit you if you possess:

  • Basic knowledge of mathematics
  • Basic Python programming knowledge
Course Content
  • Introduction to OpenCV
  • About OpenCV framework in Python
  • Face Detection with OpenCV
  • Image Processing with OpenCV
  • Object detection with SSD
  • Generative Adversarial Networks (GANs) Intuition
  • Image creation with GANs
  • Using video inputs
  • Creating custom interfaces
  • Thresholding
  • Object detection
  • Real World OpenCV applications
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