Відео

Hi! Do you have any tutorial about 3D human pose estimation using RGB-D?

Are opencv courses enough to build a strong foundation or they are just a very good start?

Nice to see you😊

Hi sir😊

what can you do if you get status code 1, not enough images, or images dont have enough overlap? the images im using seem alright, is there a robust way to use the function?

conda create --name opencv-env 'conda' is not recognized as an internal or external command, operable program or batch file.

😂😂😂

firstttt

why is the title "Anaconda Basic Image Enhancement Mathematical Operations" when Anaconda is never mentioned ?

How about the image of paper from book, which is nonlinearly curved, plus not always in white?

I don't who these courses are for

That's inspirational 💯👏

Create something better. It seems you are just reading the code.

cv2 get perspective transform can also be used giving just four points.

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The course is really useful

unfortunately, we don't get the same results following this vid. See at 1:04 where environment location is 'C:\Users\labhe\anaconda3\env\opencv-env'? Ours puts open cv outside of the anaconda folder. like this: 'C:\Users\labhe\anacv'. How do we get it to put it in the anaconda3 folder..

Very informative video. Thanks!

Do the images need to be subsets of eachother (pixel perfect overlappings?)?

Installed Anaconda and stuck after the cmd command, it failed. Edit: For anyone else failing to execute the first CMD command, just open the CMD as Administrator. They did not tell you that in the vid. Reinstalled openCV needlessly.... fucking indian money grabbers, I bet this course will just waste my time. Oh well let's keep going.

how can i do this in C# Emgu Cv

for the Modifying Image Pixels, the alternative of setting the pixels to 200 should be: cb_img_copy[2:4,2:4] = 200 and not: cb_img_copy[2:3,2:3] = 200 to achieve the same result

Thanks for sharing all of that That gave me lots of insights 👏👏👏

I think this is what I am going to invest my time doing.

what is the full cost in INR ?

Heavenly. God bless you