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[ TutSala.com ] OpenCV on Google Colab using Python
Download More Courses Visit and Support Us -->> https://TutSala.com
Created by ThinkIoT Solution | Last updated 4/2021
Duration: 1h 23m | 2 sections | 6 lectures | Video: 1280x720, 44 KHz | 477 MB
Genre: eLearning | Language: English + Sub
Image Processing on OpenCV using Google Colab and implementing practical algorithms on the Images
What you'll learn
Image Processing using Google Colab and OpenCV
Executing Image Processing algorithms on OpenCV like Image thresholding and colour detection
Drawing functions in OpenCV
Requirements
Basic python
Description
This course is a practical explanation on using the Google Colab for executing the Image Processing algorithms using OpenCV module available in Python. The course starts with explanation about the Google Colab and executing few basic codes in Python and then the basics of Image Processing are explained. Working with gray Images and Colour Images is taken up next and conversion from colour to gray is also explained. Then the Image Threshold and colour detection is explained by taking random images as inputs. The drawing tools are explained using which the images can be marked, lines, polygons and shapes can be drawn using the functions available in python.
This course will explain the concepts of Image Processing and learn how to access the Image data for a 2D and a 3D Image and this course can be used a foundation to build more complex algorithms in Image Processing. The image data for 2D and 3D image is explained and the red, blue and green channel in the image are extracted to understand exactly what a colour image consists of. This helps the students to learn the algorithms better and apply it in any further image processing. The Image Threshold and colour detection concepts are also explained by taking the image data as example which ensures that you understand the concepts very clearly.
Who this course is for:Engineering students who want to learn OpenCV and Image ProcessingProfessionals who want to understand and learn about the Image ProcessingProfessionals who want to learn working with google colab and openCVStudents and professionals who work in the different domain and want to learn Image Processing and OpenCV for integrating it into their projects or products
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Download More Courses Visit and Support Us -->> https://TutSala.com
Get More Tutorials and Support Us -->> https://AppWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
Download More Courses Visit and Support Us -->> https://TutSala.com
Created by ThinkIoT Solution | Last updated 4/2021
Duration: 1h 23m | 2 sections | 6 lectures | Video: 1280x720, 44 KHz | 477 MB
Genre: eLearning | Language: English + Sub
Image Processing on OpenCV using Google Colab and implementing practical algorithms on the Images
What you'll learn
Image Processing using Google Colab and OpenCV
Executing Image Processing algorithms on OpenCV like Image thresholding and colour detection
Drawing functions in OpenCV
Requirements
Basic python
Description
This course is a practical explanation on using the Google Colab for executing the Image Processing algorithms using OpenCV module available in Python. The course starts with explanation about the Google Colab and executing few basic codes in Python and then the basics of Image Processing are explained. Working with gray Images and Colour Images is taken up next and conversion from colour to gray is also explained. Then the Image Threshold and colour detection is explained by taking random images as inputs. The drawing tools are explained using which the images can be marked, lines, polygons and shapes can be drawn using the functions available in python.
This course will explain the concepts of Image Processing and learn how to access the Image data for a 2D and a 3D Image and this course can be used a foundation to build more complex algorithms in Image Processing. The image data for 2D and 3D image is explained and the red, blue and green channel in the image are extracted to understand exactly what a colour image consists of. This helps the students to learn the algorithms better and apply it in any further image processing. The Image Threshold and colour detection concepts are also explained by taking the image data as example which ensures that you understand the concepts very clearly.
Who this course is for:Engineering students who want to learn OpenCV and Image ProcessingProfessionals who want to understand and learn about the Image ProcessingProfessionals who want to learn working with google colab and openCVStudents and professionals who work in the different domain and want to learn Image Processing and OpenCV for integrating it into their projects or products
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
Get More Tutorials and Support Us -->> https://AppWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
