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OpenCV With Python Training - Australia

Key points about this course


Duration: 1 Days*

Support: 24/7

Dates & Prices Enquire
  • Learn how to apply geometric transformations to images.
  • Detect shapes and segment an image.
  • Gain in-depth knowledge of object tracking and object recognition.

Available delivery methods for this course

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Classroom

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Live Virtual

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Online

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In-house

Course Information

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.

OpenCV with Python Training Course Outline

Applying Geometric Transformations to Images

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

Detecting Edges and Applying Image Filters

  • 2D Convolution
  • Blurring, Sharpening, Embossing, and Edge Detection
  • Erosion and Dilation

Cartoonising an Image

Detecting and Tracking Body Parts

Image Features Extraction

  • Keypoints
  • Detecting the Corners
  • SIFT, SURF, FAST and BRIEF

Seam Carving

Detecting Shapes and Segmenting an Image

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

Object Tracking

Object Recognition

  • Object Detection vs. Object Recognition
  • Dense Feature Detector
  • Visual Dictionary
  • Support Vector Machines

Augmented Reality

Machine Learning by an Artificial Neural Network

Prerequisites

There are no prerequisites for attending this course.

Audience

Anyone interested in learning how to use OpenCV with Python can attend this course. This course is well suited for:

  • Python Developers new to OpenCV
  • Generic Software Developers
Please arrive at the venue at 8:45am.
There are no prerequisites for attending this course.
Anyone interested in learning Face Detection using OpenCV library with Python can attend this course.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 1 day.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for OpenCV with Python Training certification in Australia starts from $
The Knowledge Academy is the Leading global training provider in the world for OpenCV with Python Training.

What's included?

  • The Knowledge Academy's Open CV with Python Training Course Manual
  • Experienced Instructor
  • Certificate

Key points about this course


Duration: 1 Days*

Support: 24/7

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OpenCV With Python Training Dates & Prices

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Adelaide
Fri 17th Jan 2020
Places available
$2795
Perth
Fri 17th Jan 2020
Places available
$2795
Canberra
Fri 17th Jan 2020
Places available
$2195
Brisbane
Fri 17th Jan 2020
Places available
$2795
Sydney
Fri 17th Jan 2020
Places available
$2195
Melbourne
Fri 17th Jan 2020
Places available
$2195
Fri 24th Jan 2020
Places available
$1495
Fri 21st Feb 2020
Places available
$1495
Brisbane
Fri 20th Mar 2020
Places available
$2795
Sydney
Fri 20th Mar 2020
Places available
$2195
Melbourne
Fri 20th Mar 2020
Places available
$2195
Fri 20th Mar 2020
Places available
$1495
Adelaide
Fri 20th Mar 2020
Places available
$2795
Perth
Fri 20th Mar 2020
Places available
$2795
Canberra
Fri 20th Mar 2020
Places available
$2195
Fri 17th Apr 2020
Places available
$1495
Brisbane
Fri 15th May 2020
Places available
$2795
Sydney
Fri 15th May 2020
Places available
$2195
Melbourne
Fri 15th May 2020
Places available
$2195
Adelaide
Fri 15th May 2020
Places available
$2795
Perth
Fri 15th May 2020
Places available
$2795
Canberra
Fri 15th May 2020
Places available
$2195
Fri 22nd May 2020
Places available
$1495
Fri 19th Jun 2020
Places available
$1495
Adelaide
Fri 17th Jul 2020
Places available
$2795
Perth
Fri 17th Jul 2020
Places available
$2795
Canberra
Fri 17th Jul 2020
Places available
$2195
Melbourne
Fri 17th Jul 2020
Places available
$2195
Brisbane
Fri 17th Jul 2020
Places available
$2795
Sydney
Fri 17th Jul 2020
Places available
$2195
Fri 24th Jul 2020
Places available
$1495
Fri 21st Aug 2020
Places available
$1495
Adelaide
Fri 18th Sep 2020
Places available
$2795
Perth
Fri 18th Sep 2020
Places available
$2795
Canberra
Fri 18th Sep 2020
Places available
$2195
Melbourne
Fri 18th Sep 2020
Places available
$2195
Brisbane
Fri 18th Sep 2020
Places available
$2795
Sydney
Fri 18th Sep 2020
Places available
$2195
Fri 18th Sep 2020
Places available
$1495
Fri 23rd Oct 2020
Places available
$1495
Melbourne
Fri 20th Nov 2020
Places available
$2195
Fri 20th Nov 2020
Places available
$1495
Brisbane
Fri 20th Nov 2020
Places available
$2795
Sydney
Fri 20th Nov 2020
Places available
$2195
Adelaide
Fri 20th Nov 2020
Places available
$2795
Perth
Fri 20th Nov 2020
Places available
$2795
Canberra
Fri 20th Nov 2020
Places available
$2195
Fri 11th Dec 2020
Places available
$1495

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Key points about this course


Duration: 1 Days*

Support: 24/7


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Various delivery methods

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Resources

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."

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