Image Processing with OpenCV and Python

You asked for a feedback on facebook, welle I think your video is a great presentation of the basics, clear and weel explained, and the visuals are really good.

The representation of topic was very clear, precise and nice. I wish to see such tutorial on color image processing with wavelet transform and quaternions color image processing. Please make such video if possible. Thank you for such nice video

Is it work for svg format

Why use OpenCV instead of Scikit-Image?

please do tutorial of this with tar file. am trying to open a custom dataset with tar file. having trouble opening

Hello teacher. I have a question.
Why the numpy array of PNG image have range 0~1, JPG have range from 0~255?

hi please i need help with a topic speaker identification in python. how convert dataset to array two dimension

hello sir, can you make a video for image processing with opencv using python

what is that platform u using?

thank you for your tutorial. What if I want to create for example animations based on the numpy array of an image. What next steps you suggest? Thanks!

Thanks for your videos!
I recently started watching your videos, and kaggle keeps failing to save my draft and I lose my notes, what can I do about this?

Using this to help with a final project for an intro to ML class in university. Really helpful to have such a well organized set of explanations. Even with small errors mentioned in the comments this is a really helpful resource. Thanks for your work Rob!

It looks like you are working in Linux. I have job interview. The source data come from TV. Can you teach me?

Wonderful tutorial! But upscaling width and height 10 times simultaneously doesn't make the image 10 times bigger, but 100 times bigger

Hi Rob, just a quick novice's question. What are the advantages/disadvantages using Matplotlib vs OpenCV? Or in other words, what situation which library is better?
I'm happy to find your tutorial, you aren't speaking like you have to win a "fastest talking competition" and you really share the principal informations leaving us to look into further details if necessary. (I'm not an Egnlish native)

I think the chanel images are inversed like a negative

thanks, great video ! just a correction though - when you make the image smaller by x in each axis you actually make the whole image x^2 times smaller

python is for fast prototyping, not for long lasting code.... new releases of whatever in python kills previous code.... what a shame!!!!

How do masks work?

Excellent introductory video, well done. I'm highly motivated to go off and explore now.

Nice intro video. If you wanted future video suggestions, can you dive a bit deeper into how to manipulate those numpy arrays that contain image data? So things like np.transpose, np.where, using zip to extract pairs of coordinates, and so on. I know some of this isn't opencv perse, but that knowledge seems key to doing more complicated image processing, object detection, etc.

Thanks for your video 😊

Would be great if you could have explained how to flip an image with the usage of pixels

Which interface are you using? Is it google colab pro

For a university project, I must read a car registration with Python, get its characters. I don't know if you are interested in doing something with this. A camera that reads the car registration, collects the characters and can use those characters to compare it in a database.

Hi, just a correction, in the blurring section, to generate a more blurred image you need to change the size of the kernel too, not just divide for a large number, that's why you get a darker image instead of a blurred one.
Thanks for the video.

Thanks again Rob... Always very high quality content and lessons!

Really good presentation and content flow. I think THIS video would have been better without the kernel bits since it wasn't clear what the numerical values (of the kernels) were doing. A video focusing on kernels would actually be excellent all on it's own (with a deeper dive into them and what they're doing). Overall, still an excellent video though! Thanks!

# Dear Rob, thank you for sharing, you knowledge, it would be very helpful if we could apply given tutorials, on some kaggle competitions

Great video as always!!

hi thanks for this video,this video has 5 likes.😃

Great video! Looking forward to watching more videos like this one. Wish you all the best ❤️