Contour Detection with CV2 python | CV2 object detection | computer vision

#objectdetection #computervison #python
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CV2 Contours

[thinkingahead]

It will be nice and useful to see contour detection of an object in a real-life environment, rather than a simple dark background.

[xXMaDGaMeR]

This popped up in my recommendation, again. It was so helpfull one year back when i first saw it. I thank you so much! Still amazing explanation.

[mithunchandrasaha]

Very Nice Explanation, Sir.Needs More Tutorial from you.

[nikhilranka]

Thanks for the step-by-step walkthrough.

[pradiptapaul_]

Thank you Sir, it's very helpful

[afiatasnim]

Thank u. this video has helped me twice.

[Sski]

Very helpful. Thank you for the tutorial

[mehdisafarian]

ahh, finally someone explained it in a easy way.

[YasasvyGunturuMAI]

Hi. Your video really helped me. great thanks a ton. But my situation requires even more cropping like after the potato is cropped, further more i want to remove the left over parts of black background also leaving just potato with edges. How to achieve that? please help me it is very important

[mulugetashitie]

Very helpful. Thank you for the tutorial
how it can be for multiple images and how to save ROI images?

[arpitsingh]

I need my camera to sense a pointed pin direction which is only 2 ways I.e pointed pin side in forward direction and pointed pin side in backward direction.
Can you help me??

[shardulkhot]

bro please help...i am getting this error .please i need to submit my work by tomorrow .please help...this is my error- 'numpy.uint8' object is not callable

[diyandassembling]

Can you do the same for android. Or any course with object detection and measurements.

[pravallikav]

hi, nice content, If there are 2 objects in one image, how we will extract the contours. you extracted one largest contour which is largest by using max(). what we have to use when there are two objects.

[suyashrahatekar]

Everything was fine until you hard coded the thresholding values . This hit and trial is difficult especially with an actual dataset.