Data Science & Machine Learning Project - Part 4 Feature Engineering | Image Classification

In this video, we will use cropped images and apply wavelet transform to extract meaning features that can help with image identification. You need to understand many important concepts such as time vs frequency domain, fourier transform, representing images as frequency etc. You will find below resources to understand these concepts. USing wavelet transform and a raw pixel image we will create our X and use class labels as y. These X and y will be used for model training. Feature engineering techniques in this tutorial will enhance your understanding on how they can be used to create powerful prediction function.

Resources to understand signal processing concepts:

Special thanks to,
Debjyoti Paul (Amazon Data Scientist): For help with entire project

[BeaProgrammer]

cannot reshape array of size 3072 into shape (1024, 1) getting this error 15:37 code, please tell how to resolve this?

[favourifunanya]

Dhaval sir, What is the purpose of changing all the Approximation coefficients to zeros.
coeffs *= 0??
Thanks from Nigeria

[charugera]

Really good DS project. Can you please do more DS projects using APIs and Databases in the cloud? Thanks

[elroyrebello]

Nice work sir looking forward to see next video of the project Make more awesome simple biggnner projects like this 👍🏽👍🏽👍🏽

[bannoreaaditya]

There is a correction in above code if its giving this error
setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (200, ) + inhomogeneous part.

The solution is
change this "imArray_H = list(coeffs)"
to this "imArray_H = pywt.waverec2(coeffs_H, mode);"

[bhuvneshsaini]

Can you tell, why were you used wavelet and stack it with original image, what will be the benefit?

[GIMBAUSMANABDULUPM]

using jupyter notebook you were able to continue from the cropped images after u manually deleted them. I am using virtual studio but whenever i run the code it brings back all the dataset the i manually deleted. my question is how can i continue using the dataset after i have manually deleted them?

[work-dwhl]

u missed the explanation of 6 lines of code how to create a dictionary it contains keys ara names and key values are image paths☺️☺️

[jashdaftary]

w2d function is not working. Any solutions?

[bannoreaaditya]

Thank you sir its making things very much easy for me to learn and specifically this series as i dont know to attach backend to frontend, i mix up every thing thank for being there

[elidrissiasmae]

hi ser thank u so much, i have a question please i'm using LBP for feature extraction should i concatenate two images or the input should be just the LBP result ??

[jashdaftary]

Hello
Did anyone encounter difference in image produced by sir and code? I am getting a blackish image instead of black and white. Please help

[taniyadas]

Can someone please explain to me why the grayscale image was stacked with a wavelet decomposed image. Can't we only use the wavelet decomposed image?

[jay-rathod-]

Hello sir can we apply the same feature engineering in plant Village dataset?

[taniyadas]

hi! your projects are really insightful. I am finding them very useful for my journey in ML

[shivanshaghor]

Hello Sir, Please make more end to end projects like this.

[qwantisheku]

Is it possible to reshape images in data of final shape (x, y) to the shape that can be accepted by keras models (x, 1, img_size, img_size)?

[shubhamrakshe]

hello, i am not able to execute your 1st part of this video....its showing this error "No module named 'StringIO'"
'

[jaganinfo]

​Hi Dhaval, pics which you are using, you may get copyright strike .hope they will not send strike..these are educational video purpose

[kritikasharma]

Sir can you please share your python file for this project. I would be easier for me rectify my errors. I have started this project but stuck in between.