Fundamentals of image processing using Python and opencv
- 3.8
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Brief Introduction
learn image operations such as rotation, cropping, masking, flipping using python and opencvDescription
Course Description
Learn to process images by learning fundamentals of image operations using opencv and popular programming language Python.
Build a strong foundation in Image Processing with this tutorial for beginners.
Understanding of how images are processed as array of RFB pixel intensities
Leverage OpenCV and Python to perform cropping, rotation, masking, flipping on images
User Jupyter Notebook for programming
Use step by step instructions along with plenty of examples
A Powerful Skill at Your Fingertips Learning the fundamentals of image processing puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.
Image processing is ubiquitous in everyday applications such as object detection, X-ray enhancements, license plat detections, autonomous car driving, restoration of antique photos. Its also pre-requisite for computer vision applications using machine learning.
Jobs in image processing area are plentiful, and being able to learn opencv and python will give you a strong edge.
Image processing tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image processing in action. Image processing tasks are vital in information retrieval and computer vision applications .
Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using image processing in information retrieval and social platforms. They claimed that using image processing has boosted productivity of entire company significantly.
Content and Overview
This course teaches you on how to bprocess images using opencv, python and Jupyter framework. You will work along with me step by step to build following answers
Introduction to image processing
Learn how to rotate, flip, crop and mask images
Build an jupyter notebook step by step using opencv and python
What am I going to get from this course?
Learn fundamentals of image processing and build image processing tasks from professional trainer from your own desk.
Over 10 lectures teaching you how to perform image processing using opencv and python
Suitable for beginner programmers and ideal for users who learn faster when shown.
Visual training method, offering users increased retention and accelerated learning.
Breaks even the most complex applications down into simplistic steps.
Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
Requirements
- Requirements
- Basic knowledge of python will do
Evergreen Technologies
3.8 Raiting
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