Hands on Computer Vision with OpenCV 4 & Python 3 | Beginner
Image Processing , Computer Vision, OpenCV, Object detection, Face Detection, Practical Examples with OpenCV & Python
3.70 (15 reviews)
75
students
4 hours
content
Mar 2020
last update
$19.99
regular price
What you will learn
Basics of NumPy
Opencv Basics
Opencv 4 with Python 3
Face Detection with OpenCV
Histograms with OpenCV
Objects Tracking with OpenCV
Draw shapes on images
Video processing with OpenCV
Good knowledge of image processing and computer vision
Practical and real life examples of computer vision
Description
Welcome to this on OpenCV Python Tutorial For Beginners.
You are going to learn computer vision & image processing from scratch. We'll start with the basics, starting from installing OpenCV.
Then we will dive deep into the opencv world to learn the most important concepts about computer vision using OpenCV .
You will find real world examples and we will add more by the time.
If you are looking to learn opencv and computer vision from zero, then you are in the correct place, and do not worry, we will add more examples day by day.
Content
About The Course
About the course
Introduction
Install Python 3 - Windows
Install Opencv 4
Install Jupyter
OpenCV Basics
Opencv Basics - read, write and display the image
Opencv Drawing Functions 1 - Lines
Opencv Drawing Functions 2 - Rectangles - Circles
7- Opencv Drawing Functions 3 - Text
8- Opencv Drawing Functions 4 - Polylines
9- Opencv Generate Images
10- Opencv - Understanding the image
11- Opencv - Image Transformations
12- Opencv - get and set pixel value in the image
13- Opencv - ROI - Copy and Paste
14- Opencv - Sum two images - Add and AddWeight
Working with Video in OpenCV
15- Working with Videos - Opencv - reading video
16- More about Videos and Frames in Opencv
17- Opencv - Video Writer - Create Videos
Image Processing Basics with OpenCV
18- Opencv - Simple Image Thresholding
19- Opencv - Color Tracking - Color Filtering
20 - Opencv - Understanding image Histograms
21 - Opencv - Smoothing Images - Image Noise Removal
22 - Opencv - Edge detection - Canny, Sobel, and Laplacian filter
23 - Opencv - Working with Contours
24 - Opencv - Morphological Transformations
Shape, Object and Face Detection and Tracking
25 - Opencv - Basic motion detection, Image subtraction and Background removal
26 - Opencv - Motion detection and Tracking
27 - Opencv - Template Matching
28 - Opencv - Simple Geometric Shapes Detection
29 - Opencv - Detecting the Lines, Hough Line Transform
30 - Opencv - Fourier Transform
31 - Opencv - Face and eyes detection
32 - Opencv - Feature Detection and Description
33 - Opencv - Feature Matching and Object Detection
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2664372
udemy ID
11/20/2019
course created date
8/19/2020
course indexed date
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