Python For Vision and Detection : OpenCv Python
4.1 (134 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
8,833 students enrolled

Python For Vision and Detection : OpenCv Python

Learn Vision Includes all OpenCV Image Processing Features with Simple Examples. Face Detection, Face Recognition
4.1 (134 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
8,833 students enrolled
Last updated 4/2020
English
Current price: $11.99 Original price: $19.99 Discount: 40% off
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This course includes
  • 11.5 hours on-demand video
  • 2 articles
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Use OpenCV to work with image files
  • Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
  • Create Face Detection Software
  • Detect Objects, including corner, edge, and grid detection techniques with OpenCV and Python
  • 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.
  • Latest 2020 project Ideas with Source code and Link
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!

Computer Vision is an AI based, that is, Artificial Intelligence based technology that allows computers to understand and label images. Its now used in Convenience stores, Driver-less Car Testing, Security Access Mechanisms, Policing and Investigations Surveillance, Daily Medical Diagnosis monitoring health of crops and live stock and so on and so forth..

A common example will be face detection and unlocking mechanism that you use in your mobile phone. We use that daily. That is also a big application of Computer Vision. 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! This $20 billion dollar industry will be one of the most important job markets in the years to come.

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
Course content
Expand all 32 lectures 11:19:31
+ Introduction
5 lectures 04:43:08
What is OpenCV
02:17
How to Read, Write, Show Images
17:37
Full Python Programming Course
04:07:05
+ Setting cameras, Reading data and All tutorials
27 lectures 06:36:23
How To Install OpenCV 4 for Python on Ubuntu
07:21
How to Read, Write, Show Videos
16:27
Draw geometric shapes on images
15:58
Setting Camera Parameters in OpenCV
05:27
Show Date and Time on Videos
08:19
Handle Mouse Events in OpenCV
16:45
More Mouse Event Examples in OpenCV
14:01
cv.split, cv.merge, cv.resize, cv.add
17:09
Bitwise Operations (bitwise AND, OR
13:10
How to Bind Trackbar To OpenCV
18:30
Object Detection and Object Tracking
19:51
Simple Image Thresholding
13:08
Adaptive Thresholding
10:02
matplotlib with OpenCV
14:48
Morphological Transformations
22:17
Smoothing Images Blurring Images
17:55
Image Gradients and Edge Detection
14:24
Canny Edge Detection in OpenCV
07:39
Image Pyramids with Python
20:40
Creating a Stand Alone Executable from a Python Script using PyInstaller.
16:28
Image Blending using Pyramids
21:32
Find and Draw Contours with OpenCV
10:50
Motion Detection and Tracking
19:15
Detect Simple Geometric Shapes
18:49
Understanding image Histograms
16:10
Template matching using OpenCV
19:07
Latest Projects Ideas
00:21