Python For Vision and Detection : OpenCv Python Course
Learn Vision Includes all OpenCV Image Processing Features with Simple Examples. Face Detection, Face Recognition
What you’ll learn
Python For Vision and Detection : OpenCv Python Course
- Use OpenCV to work with image files
- Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
- Create Face Detection Software
- Use Python and Deep Learning to build image classifiers
- Use Python and OpenCV to draw shapes on images and videos
- Create Color Histograms with OpenCV
- Study from MIT notes and get Interview questions
- Crack image processing limits by developing Applications.
Requirements
- Must have clear understanding of Python Basics
- WebCam if you want to learn the video streaming content
- Windows or MacOS or Ubuntu
- Have an openminded attitude towards learning
Description
Welcome to the ultimate online course on Python for Computer Vision!
A common example will be face detection and unlocking mechanism that you use in your mobile phone. We use that daily. And today, top technology companies like Amazon, Google, Microsoft, Facebook etc are investing millions and millions of Dollars into Computer Vision based research and product development.
Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.
As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.
In this course we’ll teach you everything you need to know to become an expert in computer vision!
What Material you will get in this course?
you will get MIT press notes , some study materials ,real life working projects and many more.
Who this course is for:
- Python Developers interested in Computer Vision and Deep Learning. This course is not for complete python beginners.
- Beginners who are interested in Computer Vision based technology. Developers who wish to use Computer Vision in their applications
- Hobbyists who wish to learn about Object Tracking and Face detection
- Object Oriented Programming for beginners
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