3.89 out of 5
3.89
54 reviews on Udemy

Computer Vision with Python

Learn the latest techniques in computer vision with Python and OpenCV!
Instructor:
Code Warriors
28,202 students enrolled
English [Auto]
Manipulate and open Images with NumPy
Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
Use OpenCV to work with image files
Draw shapes on images and videos with OpenCV

Welcome to the ultimate online course on Python for Computer Vision!

This course is your best resource for learning how to use the Python programming language for Computer Vision.

We’ll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data.

The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos! Now more than ever it’s necessary for developers to gain the necessary skills to work with image and video data using computer vision.

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.

We’ll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Then will move on to using the OpenCV library to open and work with image basics. Then we’ll start to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more.

Introduction

1
Computer Vision Introduction

Basics

1
Read Write & Show Image
2
Read Write & Show Image using webcam

Image Basics with Computer Vision

1
Draw Geometric Shapes
2
Mouse Event Handling
3
Arithmetic Operation on Images
4
Bitwise Operation on Images

Image Processing

1
Translation of Image
2
Rotation of Image
3
Scaling of Image
4
Blurring and Smoothening of Image
5
Sharpening of Image

Computer Vision Methods

1
Simple Thresholding
2
Adaptive Thresholding
3
Erosion & Dilation
4
Edge Detection
5
Image Pyramids
6
Image Blending
7
Contours
8
Sorting of Contours
9
Matching of Contours

Project

1
Live Sketch Project
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Includes

6 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion