🤔Hough Transform and Line Detection with Python (detect lines on road) Explained

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Taking a Udacity course on Self Driving Cars and came across the Hough Transform. This helps determine the most likely values to find a straight line. First we have to gray scale the image, then apply a Gaussian Blur, detect edges with the Canny Edge detection algorithm and finally detect straight lines.

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#houghtransform #lanedetection #udacity #edgedetection

Antsy? Skip to the part you want:

00:00:58 - Gray Scale
00:01:00 - Gaussian Blur
00:01:39- Canny Edge Detection
00:02:29 - Straight Lines
00:02:46 - Hough Transform
00:06:26 - Hough Transform Graph
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Literally the best Hough transform video out there. Not long and over complicated but clear and straight to the point. Thanks heaps Mark!

mellowmike
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Ur actually a god! Thx so much dude I really needed this video!

swig.
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Thanks man, the explanation is crystal clear

datahacker
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absolutely amazing video! Helped me so much with my project

prathamgandhi
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oh my god that is a fantastic explanation

seba
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Very useful and understandable, thanks!

Nicolas-gjgf
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well-explained, really a good one, if u have a course material misunderstanding. Keep going ;)

nickolayliashuha
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The reason Hough Transform is using polar coordinate is that of the vertical line

heiismail
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Great video! I got one question:
Can a sinusoidal function in hough space vote for more than 1 for the same box? Let me give an example:
Let's say we got three points in cartesian system and we have three different sinusoidal functions in Hough space corresponding to these points. Can a box in Hough space have more than three votes?
Thanks!

alihsanelmas
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Can you take a video for the circle detection? Or generalized hough transform.

motherofachaosorganiser
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Slope of vertical axis in Cartesian coordinate system is always 90 degree or pi/2 rad. So still question remains same why do we need to do transaform?

nitish
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working python code for line detection ?? anyone...please help...

ghosh