Session - 1: What is an image?What is image processing?

Friends, I have started the playlist for Image Processing here. In this first session, I explain to you what an image is all about and what image processing is.

[narassimams]

This is a fantastic playlist. Appreciate the effort. Please make it complete.

[a.v]

Great video man. Im watching this videos for fun, its so fascinating!

[anilta]

Thanks for your effort to bring these wonderful videos.

[nirmithabgowda]

I understood in most easy way and simple wordings tq sir

[sonammishra]

Is it possible to get this presentation? @shriram vasudevan

[keyurgaglani]

You teach gr8..
I ff it to 1.25 level n I got everything at ease..
Eager to get whole series..

Thank you in advance..

[karthikvenkatachalam]

Eager to watch the entire series... With real-time output...

[armaan.nagpuri]

The saying is "Action speak louder than words", and the actual saying that you wished to use is "A picture is worth 1000 words"... 😅

[sstech]

Sir, well done. This is a fine content.

[vasus_humour_club]

Very nice and we look forward to the complete series.

[ymorimac]

Could you insert the document? Thank You!

[samrs]

Indeed a wonderful series & Gyaan on Computer Vision & enrichment of knowledge!!! Very much appreciated...Romba Nandri Shriram!!! Just curious---is this series complete & sufficient in order to prepare for the Data Science & Analytics interviews??? Is there any other content still pending or remaining? Looking forward to your response.

[soumyarai]

I m here bcoz time is my sessional of image processing I hope it would help me

[samrs]

Could you enable the transcript for this particular video?

[rizwanahmed]

please do a tutorial about object identification using Neural Compute Stick 2 on raspberry Pi using camera. This video is so imformative

[samrs]

Vanakkam Shriram... Trust that you are doing fine!!!

Have a request----could you complete the entire series on the following topics & algorithms related to Computer Vision viz.:
a) Object Localization
b) Object Detection & Recognition
c) Object Classification

& more importantly if you can showcase the aforementioned CV algorithms using Python (via Jupyter Notebooks IDE), it would indeed be awesome & wonderful !!! For professionals like us, time availability is short (especially when focus is on the interview aspects!!!) ---otherwise we may need to refer others for grasping the nuances/concepts of the topics!!!

Efforts towards incorporating the aforementioned topics will help in making it a 1-stop reference list for Computer Vision series. Hope this helps!!!

[marzoukismail]

can you send the powerpoint in my email