This course aims to teach learners the fundamentals of computer vision using OpenCV through a crash course. By the end of the course, students will be able to perform various image processing tasks such as reading, displaying, and saving images, converting color images to grayscale, adding shapes and text to images, resizing, rotating, and translating images, applying image transformations, performing image thresholding, edge detection, object detection, and face detection. The course employs a hands-on approach with practical projects and demonstrations, making it suitable for beginners and enthusiasts looking to delve into computer vision using OpenCV.
Overview
Syllabus
Computer vision Crash Course | Computer Vision using OpenCV | Computer Vision OpenCV Projects.
Read Display and Save Image files using Python OpenCV | Convert Color Image to Grayscale OpenCV.
Add various Shapes to an Image using Python OpenCV | Add TEXT to an Image using Python OpenCV.
Draw Geometric shapes with Mouse Click event using OpenCV - Part 1.
Draw Geometrical Shapes by Dragging Mouse (Events) using OpenCV - Part 2.
How to Resize Rotate and Translate an Image using OpenCV | Affine Vs Non-Affine Transformation.
How to Resize or Scale an Image using Python Opencv | OpenCV का उपयोग कर एक Image का आकार बदले.
How to Rotate (Clockwise & Anti-Clockwise) & Flip an Image in Python OpenCV.
Image Translation using Python OpenCV | How to Shift and Image in OpenCV.
Perspective Transformation using Python OpenCV | How Document Scanners Convert Tilted Images.
Make an Image Bright in OpenCV | Color Contrast in OpenCV.
Crop or Cut Desired section of Image using OpenCV | Cut Foreground Image OpenCV.
Hide Portion of Image (Masking) using Python OpenCV | Bitwise Operations OpenCV.
How to BLUR an Image using OpenCV | Gaussian Blur Image Processing OpenCV.
How to Sharpen Image using Python OpenCV ?.
Image Thresholding or Binarization OpenCV | Adaptive Thresholding Image Processing.
Morphological Transformation (Erosion Dilation Opening & Closing) OpenCV Operations.
Edge Detection OpenCV | Laplacian Sobel and Canny Edge Detection using OpenCV Python.
What is Blob & how to detect the Blobs using Python OpenCV ?.
Lane Detection for Self Driving cars using Hough Lines | Hough Lines and Probabilistic Hough Lines.
Find and Draw Contours using Python OpenCV | Image Segmentation OpenCV.
Sorting Contours according to Size or Area OpenCV | How to Sort Contours OpenCV.
Approximate Contours and Convex Hull for Self Driving Car Collision Avoidance.
How Self Driving Cars MATCH CONTOURS to identify Traffic Signs | Match Contours Python OpenCV.
Detect Corners for Motion Tracking using Harris Corner Detection Python OpenCV.
Object Detection Introduction | Difference between Object Detection and Object Recognition.
Face Detection in 10 minutes using OpenCV and Python | LIVE Face & Eye Detection.
Car Detection in 7 minutes OpenCV and Python | LIVE Car and Pedestrian Detection system.
Step by Step Guide to Convert Color Image to Pencil Sketch.
Taught by
The AI University
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