OpenCV with Python (Computer Vision)
Using Python Learn Computer Vision Course on OpenCV in Python from Basic to Advance
What you will learn
Images, Video read in Python using OpenCV.
Resizing, Cropping of images and videos in Python using OpenCV.
Draw shapes on images such as circle, rectangle, ellipse, line.
Adding text message on images.
Hide a portion of images using XOR, NOT and AND operation.
Image manipulation such as smoothing, blurring.
Read different type of images with (single channel, 3 channel, 4 channel images).
Image splitting
Saving Images and Videos files using OpenCV on our PC.
Color conversation of images (BGR to gray), (BGR to RGB).
Reading images from different package using PILLOW.
Most important: contour and its properties for analyzing the shape of the object in an image.
Detect line on the image with canny algorithm.
Feature detection on images and matching between the images.
Common problem student face while working on OpenCV.
Why take this course?
Welcome to the OpenCV course. If you are interested in the field of Computer Vision or Deep Learning? Then this course is for you.
Nowadays, Computer Vision is used in Automation in every domain such as self-driving cars, warehouses, security, object tracking, feature matching, and many more.
Moreover, in this course, we are covering the basic to advance level core concepts for image and video processing. We have taken a practical approach to explain the core concept of image and video processing. This course is best for students who want to start their career as Computer Vision Engineer.
We have divided this course into Chapters. In each chapter, you will learn the core concept of Image And Video Processing. These are some of the topics that we will be covering in this course:
Image Read
Image Crop
Image Resized
Image Rotate
Image Split
Image Save
Video Read
Video Resizing
Video Save
Draw a Circle on the Image
Adding Text Messages to Images
Draw Line Segment on Image
Draw a Rectangle on the Image
Draw an Ellipse on the Image
Arithmetic Operation
Image Blending
Threshold and Blurring
Area and Perimeter of Contours
Find Contours in an Image
Fitting Shape on the Contours
Checkpoint if inside, outside, or on the Contours
SIFT - (Scale - Invariant Feature Transform)
Feature Matching
and much more!
Feel free to message me on the Udemy Q&A board, if you have any queries about the course!
Thanks for checking the course page, and I hope to see you in my Course!!!
Pooja
Screenshots
Reviews
Charts
Price
Rating
Enrollment distribution
