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Commit d2535d3

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Merge pull request avinashkranjan#622 from Lakhankumawat/Experimental
🚀Added Image Processing
2 parents 03be8a8 + 867f6da commit d2535d3

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‎Image Processing/ImageCompressing.py

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# -*- coding: utf-8 -*-
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# Python Imaging Library PIL
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from PIL import Image as ig
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# Here we have to provide complete address of image from file which contains your py file
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filePath=input("Enter the path of your Image : ")
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img=ig.open(filePath)
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#Apply the compressing
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img.save("Compressed.jpg",optimize=True,quality=30)
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print("Done!")

‎Image Processing/ImageTransposing.py

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# -*- coding: utf-8 -*-
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#Flipping the image
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from PIL import Image
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#opening the image
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filePath=input("Enter the path of your Image : ")
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img=Image.open(filePath)
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#transpose of the matrix
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transposed_img=img.transpose(Image.FLIP_LEFT_RIGHT)
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#save it in a new file
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transposed_img.save("Corrected.png")
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print("Done!")

‎Image Processing/ImgEnhancing.py

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# -*- coding: utf-8 -*-
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#image enhancement CLAHE - Contrast Limited Adaptive Histogram Equalization
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import cv2
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#read the image
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#Read the img from its location relative to py file
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filePath=input("Enter the path of your Image : ")
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img = cv2.imread(filePath)
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#preparation for CLAHE
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clahe= cv2.createCLAHE()
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#COnvert to Gray Scale image
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gray_img= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
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#Lets apply enhancement finally
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ench_img=clahe.apply(gray_img)
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#And save it into a file
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cv2.imwrite('enhanced.jpg',ench_img)
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print("Done!!")

‎Image Processing/README.md

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# Python Image Processing
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<h4>Python Imaging Library (PIL) is one of the popular libraries used for image processing. PIL can be used to display image, create thumbnails, resize, rotation, convert between file formats, contrast enhancement, filter and apply other digital image processing techniques etc.</h4><br>
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> Here are few things which you can implement using python
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<br>
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## 1. Image Enhancing
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[`source code here`](https://github.com/Lakhankumawat/Amazing-Python-Scripts/blob/Experimental/Image%20Processing/ImgEnhancing.py)<br>
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<a href="https://ibb.co/7CDtTBT"><img width="40%" src="https://i.ibb.co/h9NFnrn/default.jpg" alt="default" border="0"></a><img src="https://img.icons8.com/carbon-copy/100/000000/arrow.png"/>
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<a href="https://ibb.co/51JhvX7"><img width="40%" src="https://i.ibb.co/j8jkG9p/enhanced.jpg" alt="enhanced" border="0"></a>
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<hr>
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## 2. Image Compressing
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[`source code here`](https://github.com/Lakhankumawat/Amazing-Python-Scripts/blob/Experimental/Image%20Processing/ImageCompressing.py)<br>
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<a href="https://ibb.co/7CDtTBT"><img width="40%" src="https://i.ibb.co/h9NFnrn/default.jpg" alt="default" border="0"></a><img src="https://img.icons8.com/carbon-copy/100/000000/arrow.png"/>
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<a href="https://ibb.co/BBJx5PM"><img width="40%" src="https://i.ibb.co/TtGSxT3/Compressed.jpg" alt="Compressed" border="0"></a>
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<hr>
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## 3. Image Transposing
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[`source code here`](https://github.com/Lakhankumawat/Amazing-Python-Scripts/blob/Experimental/Image%20Processing/ImageCompressing.py)<br>
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<a href="https://ibb.co/7CDtTBT"><img width="40%" src="https://i.ibb.co/h9NFnrn/default.jpg" alt="default" border="0"></a><img src="https://img.icons8.com/carbon-copy/100/000000/arrow.png"/>
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<a href="https://ibb.co/4KNZYG2"><img width="40%" src="https://i.ibb.co/JmkRy4q/Transposed.png" alt="Transposed" border="0"></a>
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<hr>
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## Libraries Required
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Instructions on how to use them in your own application are linked below.
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| Library | Documentation |
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| ------ | ------ |
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| CV2 | [https://pypi.org/project/opencv-python/][PlDb] |
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| PIL | [https://pypi.org/project/Pillow/][PlGh] |
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| CLAHE | [https://pypi.org/project/clahe/][PlGd] |
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## Author
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[Lakhan Kumawat](https://github.com/Lakhankumawat)
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[PlDb]: <https://pypi.org/project/opencv-python/>
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[PlGh]: <https://pypi.org/project/Pillow/>
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[PlGd]: <https://pypi.org/project/clahe/>
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‎Image Processing/default.jpg

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