Edge Detection OpenCV | Laplacian Sobel and Canny Edge Detection using OpenCV Python
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What is Blob & how to detect the Blobs using Python OpenCV ?
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Lane Detection for Self Driving cars using Hough Lines | Hough Lines and Probabilistic Hough Lines
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Find and Draw Contours using Python OpenCV | Image Segmentation OpenCV
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Sorting Contours according to Size or Area OpenCV | How to Sort Contours OpenCV
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Approximate Contours and Convex Hull for Self Driving Car Collision Avoidance
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How Self Driving Cars MATCH CONTOURS to identify Traffic Signs | Match Contours Python OpenCV
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Detect Corners for Motion Tracking using Harris Corner Detection Python OpenCV
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Object Detection Introduction | Difference between Object Detection and Object Recognition
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Face Detection in 10 minutes using OpenCV and Python | LIVE Face & Eye Detection
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Car Detection in 7 minutes OpenCV and Python | LIVE Car and Pedestrian Detection system
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Step by Step Guide to Convert Color Image to Pencil Sketch
Description:
Dive into a comprehensive computer vision crash course using OpenCV and Python. Learn essential techniques from basic image manipulation to advanced object detection. Master reading, displaying, and saving image files, color conversions, shape and text additions, and mouse event handling. Explore image transformations, including resizing, rotation, translation, and perspective changes. Discover image enhancement methods like brightness adjustment, cropping, masking, blurring, and sharpening. Delve into thresholding, morphological operations, edge detection, and blob analysis. Apply practical skills to real-world scenarios such as lane detection for self-driving cars, contour analysis for traffic sign recognition, and corner detection for motion tracking. Implement face and car detection systems, and create a pencil sketch effect from color images. Gain hands-on experience through numerous projects and examples throughout this intensive course.