Kidney stone prediction

[manisha-27]

Closes: #228

Describe the changes you've made

Applied the Gabor Filter for the Image Enhancement followed by Histogram Equalization. The restored image went under Image Segmentation, namely, Watersheds after which Marking was done and the final image was produced. The final image showed a distinct location of the stone in the kidney. Hence the stone was detected.

Checklist:

• My code follows the style guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly in hard-to-understand areas.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.

Screenshots

Original image	Image with detection

[manisha-27]

hey @kritikaparmar-programmer @utkarsh0702 please review this PR..

[utkarsh0702]

@manisha-27 Please remove all python files and write all your code in the Jupyter notebook. Show the model build, its training, its prediction in the jupyter cells. Also, add the model file in .h5 Keras format.

[shubhigupta991]

First, remove the file from the models folder and add it to the notebook folder.
Second, I can't see any model that is trained in the notebook. So how are you using the photos you filter to predict the presence of stones in the kidney?
Third, train a model and after saving it in pkl format add that to models folder.

[manisha-27]

Is it okay, please check @shubhigupta991

[shubhigupta991]

Is it okay, please check @shubhigupta991

Dm me on the discord server. Need to clear some things

[manisha-27]

Okay, can you please provide me your discord username.