Torrent details for "Image Processing using OpenCV from Zero to Hero, 8 Projects"    Log in to bookmark

wide
Torrent details
Cover
Download
Torrent rating (0 rated)
Controls:
Category:
Language:
English English
Total Size:
1.88 GB
Info Hash:
03a6b2bc47a67ca06491e5f26f403c09ea655248
Added By:
Added:  
06-08-2021 05:25
Views:
520
Health:
Seeds:
8
Leechers:
1
Completed:
403
wide




Description
wide
Image error
Description

Welcome to “Image Processing using OpenCV from Zero to Hero” !!!

Image Processing is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course is completely project-based learning. Where you will do the project after completion of every module. Here I will cover the image processing from basics to advanced techniques including applied machine learning algorithms and models to images.

WHAT YOU WILL LEARN?

   Image Basics
   Drawings
   Image Translation
   Image Processing Techniques
   Smoothing Filters
   Filters
   Graphical Use Interphase  (GUI) in OpenCV

Key Highlights in Section 1 to 7

We will start the course with very basic like load, display images. With that, we will understand the basic mathematics background behind the images. Also, I will teach you the concepts of Drawings and Videos.

Projects (Object Detection):

   Face Detection using Viola-Jones Algorithm
   Face Detection using Deep Neural Networks (SSD ResNet 10, Caffe Implementation)
   Real-Time Face Detection
   Facial Landmark Detection

Key Highlights in Section 8 to 11

We will slowly move into image processing concepts related to image transformations like image translation, flipping, rotating, and cropping. I will also teach arithmetic operations in OpenCV.

Project (Brightness Control):

 5. GUI based Brightness Control in Images

 6. Real-Time Brightness Control

Key Highlights in Section 12,13

In these sections, I will introduce new concepts on bitwise operations and masking, where you will learn the truth table and different bitwise operations like “AND“, “OR“, “NOT“, “XOR“.

Key Highlights in Section 14

Then we will extend our discussion on Smoothing Filter which is a very important image processing technique. In this section, I will teach smoothing techniques like Average Blur, Gaussian Blur, Median Blur & Bilateral Filter.

You will have complete access to Images, Data, Jupyter Notebook files that are used in this course. The code used in this course is written in such a way that you can directly plug the function into the real-time scenario and get the output.

I will see you inside the course!!!

———————–

Srikanth Guskra
Who this course is for:

   Anyone who are passionate to learn image Processing with OpenCV

Requirements

   Anyone who are beginner to Python

Last Updated 7/2021

  User comments    Sort newest first

No comments have been posted yet.



Post anonymous comment
  • Comments need intelligible text (not only emojis or meaningless drivel).
  • No upload requests, visit the forum or message the uploader for this.
  • Use common sense and try to stay on topic.

  • :) :( :D :P :-) B) 8o :? 8) ;) :-* :-( :| O:-D Party Pirates Yuk Facepalm :-@ :o) Pacman Shit Alien eyes Ass Warn Help Bad Love Joystick Boom Eggplant Floppy TV Ghost Note Msg


    CAPTCHA Image 

    Anonymous comments have a moderation delay and show up after 15 minutes