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GeezerVison is showing github.com — GitHub - Sjsingh101/BasicImageProcessing

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Dilation, Erosion, Closing and Opening based image morphology.ipynb
Dilation, Erosion, Closing and Opening based image morphology.ipynb
 
 
Geometric transformations of images.ipynb
Geometric transformations of images.ipynb
 
 
.gitignore
.gitignore
 
 
Edge detection in an image.ipynb
Edge detection in an image.ipynb
 
 
Face detection in an image using Haar Cascades.ipynb
Face detection in an image using Haar Cascades.ipynb
 
 
Functioning of a mask which convolves over an image.ipynb
Functioning of a mask which convolves over an image.ipynb
 
 
README.md
README.md
 
 
Smoothening and Sharpening of images.ipynb
Smoothening and Sharpening of images.ipynb
 
 
depth.jpg
depth.jpg
 
 
dog.jpg
dog.jpg
 
 
face.png
face.png
 
 
haarcascade_frontalface_default.xml
haarcascade_frontalface_default.xml
 
 
landscape.jpg
landscape.jpg
 
 
noisy.jpg
noisy.jpg
 
 
noisy1.png
noisy1.png
 
 
orange.jpg
orange.jpg
 
 

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ComputerVision-Ares

Strategy used to implement the concepts marked

Initially, i thought to learn OpenCV from scratch like learning each and everything but after spending ample amount of time i figured out that i shall not to be able to complete it on time so i take the suggested title and start working on them learning each and every thing came to my way from cv2.add to cv2.waitKey give a deep insight of OpenCV

What you learnt in the process

while starting working on this process i have basic knowledge of OpenCV as i spent alot of time installing right version of OpenCV for my tutorial but during this challenge i learnt alot from the process like what is actually meant by smoothening of image and how to perform geometrical operations and after learning alot of things i get the idea that it is not difficult its just needs attention which is however needed in learning anything

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