3 Mistakes you should avoid | Computer Vision

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In this video, I'm going to talk about the 3 most common mistakes that people are making when building computer vision projects and why you should avoid them.

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#computervision #mistakes #programming
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►► You can Build a Computer Vision software to DETECT and TRACK any Object.

pysource-com
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i would really love to view your courses but they are really expensive to me as a person living in egypt which is a whole month's pay to buy your courses
but i really love your videos and learn a lot from it thanks a lot.

abdallakhafagy
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Yes, you are right, most people do Copy-Paste in their projects.
Thanks for pointing out...that....

bolzanoitaly
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Hi Sergio,
Thanks for the great video learned quite a few important points. I have a quick question on the topic of Projects that you accept from clients. When you do any kind of Deep Learning training for clients project do you use mainly cloud GPU or your local machine GPU. Or do the clients have any preferences in general. Thanks very much in advance.

RohanPaul-AI
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Overcomplicate things, wonderful explanation, as we do un necessary things during our project.
We have no confidence on ourselves to complete the project by ourselves.

bolzanoitaly
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Absolutely correct, who skip the Basics, must not complete their project in a positive way.

bolzanoitaly
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Well i m doing some project wich is in phase: to reach point proof of concept. I realized i m doing a lot of automation before i even know if the project would be viable to do it fully. On that it really wasted a lot of hours.

jakubkahoun
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Hi Pysource,
Your videos really helped me strengthen my understanding with computer vision.Hoping to see more beautiful content on your channel.
Love from India

autopy
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Make projects on shoplifting in mall using cv

Ajitkm
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Thanks Sergio. Your videos are of great value to me!

larrykorb
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Hi Sergio, thanks for all your videos :)

alami
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Thanks, for your wonderful Video,
I am great fan of
Regards
Gul Rukh Khan
Bolzano, Italy

bolzanoitaly
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I need help for my PhD project about anus recognition with OpenCV. The computer is keep getting exploded everytime I run the haar cascade for the anus. I tried multiple datasets of anuses to train KNN classifier for multiple anuses but still anuses are too detailed for computer vision. Especially when I run it for the anus dataset from Sicily, the computer sucidies. please help me!

cimilar