Convert Image into Matrix - Like a Pro! 

Me too! I've only realized the complexity of images once I've built my first classifier neural network, before that - I knew what pixels and vectors are, but I couldn't really translate them into math! The good news is, us designers don't really need to know that because Adobe Illustrator is doing this hard work for us (abbreviated to AI for a reason, no?), but in Machine Learning - it's a must! ;)

Thank you so much Sameer! glad you liked it! 😊

That's awesome! thank you so much!! :)

Thank you! 😃

Wow, thank you so much Vishal! :D

Thank you so much for the support Dan!! :)

How goes putting it into practice? With your original method, I'd probably start closer to the center and work your way out. Rather than work your way inwards. - Less pixels to initially compare. But I'd definitely figure out the max used rgb / gray before doing so. And count how many similar pixels there are, to allow a tolerance + cap based on how many pixels it scanned through the width. Otherwise, it would needlessly rotate it when it reached a letter with a tail, like "g" or "y". - Could probably just rotate it up to 180 (original image or distortion) to see if it sees more of the background color on the width. And if it doesn't, it searches a wider area. (Also larger angle differences near the start and use a fraction of it as it goes out until hear area, would probably be best... also maybe a check to see if there is more background pixels initially within the new area before it tries rotating) But yeah, I've been working on a program to make an image into a bunch of algorithms. To compress an image. Most image formats have "filters" to decrease space but they neglect some patterns for speed. And I've been avoiding looking into matrices for far too long - hated them in school. But I think they are definitely the answer to analyze data. Although I'll add an observation, when I separated an image by rpga values, it took much more time when 0ing out values by matrix, rather than using merge with a new black image. I think it has to do with getdata / putdata... processor wasn't working that hard so I think it was the method of retrieving data and then writing it. - today I'm going to see how quick matrices are to search through. It definitely avoids a bunch of loops so is quicker. But I'm going to avoid using putdata/getdata whenever possible. - Using it only when analysis is necessary. (Have a very low end laptop for programming since I want to make efficient code.) Sorry needed to organize my thoughts. Helps when I think someone else might read it.

Thank you so much Mantas! I'm glad you like my explanations! we'll move to more complex lessons very soon :)

Thank you! I'm glad you liked it :)

I believe it's a matter of conversion from one colour format to another, but it's difficult to tell without seeing the code and which images you're testing it on... Realistically if your values are between 0 - 255 maybe try dividing each value by 256 to get floating point numbers, this might solve it but I don't know if I fully understood the task 😊

@@PythonSimplified so nice of you to answer trying answering this!!

Thank you Okabi! Glad you liked it! 😀

Thank you Jyoshna! I'm glad I could help! 😃

Hi Sohail! 😀 Did you recently upgrade to Python 3.9 by any chance? you may be experiencing issues with several libraries in this case, as this version of Python is brand new and some of the packages are not integrated yet (including PIL by the way, I have a few viewers who had to go back to 3.8 to get it to work). As to your second question, if you installed your Python inside a virtual environment - you don't need to override anything. Just create a brand new virtual environment and install a different version of Python (and it's dependencies) inside it. That way you can have multiple versions of Python installed on your computer at once and you can jump from one environment to another very easily. If you installed Python with Anaconda, checkout my video where I explain how to create a new environment: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-FZ5baopI_mo.html If you didn't use Anaconda, checkout these instructions on how and why you should consider working with virtual environments 😁: www.geeksforgeeks.org/python-virtual-environment/#:~:text=A%20virtual%20environment%20is%20a,of%20the%20Python%20developers%20use.

Hi python simplified 🤠 Thanks for such a sincere reply. You exactly said right. I am new to python. I need help from person like you much. I am lonely learning it, as I spent 3 days in just installing keras. I have installed 3.8.3 python version, is this still not suitable version? if you have any link related3.8 please give it. I will do the same as you said, Love you much. I am going to watch your video related environment. And yes I have installed Anaconda snake. ( But it is stinging me from few days)🐍😃. Thanks again. Can I mail you the shots of my python error. That will help me alot.

I faced this issue when I told my friend cN we convert image into math. He said it very hard., but we did through python. But we did it with their own laptop. When I was going to do it with my own laptop, it wasn't happening due to opencv issue. Is there any code to convert image to matrix without opencv.

​@@SohailKhan-rw2gb hahaha Python 3.8 is great, that's the version I'm using so you shouldn't experience any issues if you follow the instructions of the Python installation video I sent you. In terms of Keras... I recommend learning much more about Python before you dive into this. This is not a beginners module and you will waste lots of time tying to understand it. It's like getting your drivers license for the first time and instead of driving an old Toyota - you go for Lamborghini. Machine Learning is not an easy task to understand, but it's easier with experience. Open CV and Pillow (PIL) are really good in terms of image processing, they are both great for image conversion. If you'd like to send me a screenshot you can either do this through LinkedIn: www.linkedin.com/in/mariyasha888 or through my new Facebook page: facebook.com/PythonSimplified

Thank you! :)

Thank you Mithun! Glad you liked it! 😁

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I loved that “I promise” 😄

Thank you so much! :) I though I've used the same music, no? It should be Creeping Spiders from the RU-vid gallery but now I'm not sure hahaha XD

I guess Hollywood does a better job with marketing than mathematicians 🤣

I'!m here to learn python